References:

• Abbas, K. A., & Bell, M. G. H. (1994). System dynamics applicability to transportation modeling. Transportation Research Part A, 28(5), 373–390. https://doi.org/10.1016/0965-8564(94)90022-1
• Ahmed, E.-G., Michael, G., Rania, W., Paul, T., & Julien, S.-L. (2013). New evidence on walking distances to transit stops: Identifying redundancies and gaps using variable service areas. Transportation, 41(1), 193–210. https://tram.mcgill.ca/Research/Publications/Transit_service_area.pdf
• Alawadi, K., Khanal, A., Doudin, A., & Abdelghani, R. (2021). Revisiting transit-oriented development: Alleys as critical walking infrastructure. Transport Policy, 100(November 2020), 187–202. https://doi.org/10.1016/j.tranpol.2020.11.007
• Alejandro, R., & Santos, M. (2018). Vulnerability Assessment to Climate Variability and Climate Change in Tijuana , Mexico. 1–21. https://doi.org/10.3390/su10072352
• Amini Pishro, A., Yang, Q., Zhang, S., Amini Pishro, M., Zhang, Z., Zhao, Y., Postel, V., Huang, D., & Li, W. Y. (2022). Node, place, ridership, and time model for rail-transit stations: a case study. Scientific Reports, 12(1), 1–16. https://doi.org/10.1038/s41598-022-20209-4
• Appleyard, B. S., Frost, A. R., & Allen, C. (2019). Are all transit stations equal and equitable ? Calculating sustainability , livability , health , & equity performance of smart. Journal of Transport and Health, 14, 1–15. https://doi.org/10.1016/j.jth.2019.100584
• Arksey, H., & O’Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology: Theory and Practice, 8(1), 19–32. https://doi.org/10.1080/1364557032000119616
• Asefa, B., & Mindahun, W. (2019). Geospatial Based Flood Risk Assessment : The Case of Kewet District , Amhara Region , Ethiopia. December 2018, 0–10. https://doi.org/10.5923/j.ajgis.20190801.01
• Baldassarre, G. Di, Viglione, A., Carr, G., Kuil, L., Yan, K., & Brandimarte, L. (2015). Debates—Perspectives on socio-hydrology: Capturing feedbacks between physical and social processes. Journal of the American Water Resources Association, 5(3). https://doi.org/10.1111/j.1752-1688.1969.tb04897.x
• Baroud, H., & Barker, K. (2014). Bayesian Kernel Methods for Critical Infrastructure Resilience Modeling. 687–694. https://doi.org/10.1061/9780784413609.070
• Bazrkar, M. H., Fathian, F., & Eslamian, S. (2013). Runoff Modeling in Order To Investigate the System Dynamic Approach (Case Study: Tehran Watershed, Iran). Journal of Flood Engineering, 4(1), 39–56.
• Berawi, M. A., Saroji, G., Iskandar, F. A., Ibrahim, B. E., Miraj, P., & Sari, M. (2020a). Optimizing Land Use Allocation of Transit-Oriented Development ( TOD ) to Generate Maximum Ridership. Sustainability, 12, 1–20.
• Berawi, M. A., Saroji, G., Iskandar, F. A., Ibrahim, B. E., Miraj, P., & Sari, M. (2020b). Optimizing land use allocation of transit-oriented development (TOD) to generate maximum ridership. Sustainability (Switzerland), 12(9). https://doi.org/10.3390/su12093798
• Bertolini, L. (1999). Spatial development patterns and public transport: The application of an analytical model in the Netherlands. Planning Practice and Research, 14(2), 199–210. https://doi.org/10.1080/02697459915724
• Bertolini, L., le Clercq, F., & Kapoen, L. (2005). Sustainable accessibility: A conceptual framework to integrate transport and land use plan-making. Two test-applications in the Netherlands and a reflection on the way forward. Transport Policy, 12(3), 207–220. https://doi.org/10.1016/j.tranpol.2005.01.006
• Bhagwati, P., & Kumar, M. (2024). Transit-Oriented Development: Learnings from Global Examples. LOGI - Scientific Journal on Transport and Logistics, 15(1), 1–12. https://doi.org/10.2478/logi-2024-0001
• Bittihn, S., & Schadschneider, A. (2021). The effect of modern traffic information on Braess’ paradox. Physica A: Statistical Mechanics and Its Applications, 571, 1–18. https://doi.org/10.1016/j.physa.2021.125829
• Bristow, D. N., & Hay, A. H. (2016). Graph Model for Probabilistic Resilience and Recovery Planning of Multi-Infrastructure Systems. Journal of Infrastructure Systems, 23(3), 04016039. https://doi.org/10.1061/(asce)is.1943-555x.0000338
• Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O’Rourke, T. D., Reinhorn, A. M., Shinozuka, M., Tierney, K., Wallace, W. A., & Von Winterfeldt, D. (2003). A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities. Earthquake Spectra, 19(4), 733–752. https://doi.org/10.1193/1.1623497
• Budiati, W., Grigolon, A. B., Brussel, M. J. G., & Rachmat, S. Y. (2018). Determining the potential for Transit Oriented Development along the MRT Jakarta corridor. IOP Conference Series: Earth and Environmental Science, The 4th PlanoCosmo International Conference, 158, 1–15. https://doi.org/10.1088/1755-1315/158/1/012020
• Calthorpe, P. (1993). The Next American Metropolis: Ecology, Commnity, and the American Dream. Princeton Architectural Press. https://books.google.ca/books?hl=en&lr=&id=WtKU5L0ajA8C&oi=fnd&pg=PA9&dq=1993,+Calthorpe+&ots=Fzwf2Cto7K&sig=xGpDsO6AuNscNAaU31uTgvkPDEg#v=onepage&q=1993%2C Calthorpe…
• Cao, Z., Asakura, Y., & Tan, Z. (2020). Coordination between node, place, and ridership: Comparing three transit operators in Tokyo. Transportation Research Part D: Transport and Environment, 87(September), 102518. https://doi.org/10.1016/j.trd.2020.102518
• Caset, F., Blainey, S., Derudder, B., Boussauw, K., & Witlox, F. (2020). Integrating node-place and trip end models to explore drivers of rail ridership in Flanders, Belgium. Journal of Transport Geography, 87(July). https://doi.org/10.1016/j.jtrangeo.2020.102796
• Cervero, R. (2007). Transit-oriented development’s ridership bonus: A product of self-selection and public policies. Environment and Planning A, 39(9), 2068–2085. https://doi.org/10.1068/a38377
• Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199–219. https://doi.org/10.1016/S1361-9209(97)00009-6
• Chang, S. E., Mcdaniels, T., Fox, J., Dhariwal, R., & Longstaff, H. (2014). Toward disaster-resilient cities: Characterizing resilience of infrastructure systems with expert judgments. Risk Analysis, 34(3), 416–434. https://doi.org/10.1111/risa.12133
• Chang, S. E., & Shinozuka, M. (2004). Measuring improvements in the disaster resilience of communities. Earthquake Spectra, 20(3), 739–755. https://doi.org/10.1193/1.1775796
• Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
• Chatman, D. G. (2013). Does TOD need the T? Journal of the American Planning Association, 79, 17–31. https://doi.org/10.1080/01944363.2013.791008
• Chen, F., Wu, J., Chen, X., Zegras, P. C., & Wang, J. (2017). Vehicle kilometers traveled reduction impacts of Transit-Oriented Development: Evidence from Shanghai City. Transportation Research Part D: Transport and Environment, 55, 227–245. https://doi.org/10.1016/j.trd.2017.07.006
• Chen, H., Zhao, K., Zhang, Z., Zhang, H., & Lu, L. (2024). Methods for the Performance Evaluation and Design Optimization of Metro Transit-Oriented Development Sites Based on Urban Big Data. Land, 13(8). https://doi.org/10.3390/land13081233
• Chen, T., Chen, Y., Zhou, Y., & Guo, J. (2023). Efficiency Assessment of Transit-Oriented Development Focusing on the 500-m Core Catchment of Metro Stations Based on the Concept of a Metro Microcenter in Beijing. Journal of Transportation Engineering, Part A: Systems, 149(12), 1–15. https://doi.org/10.1061/jtepbs.teeng-7373
• Chen, X.-Z., Lu, Q.-C., Peng, Z.-R., & Ash, J. E. (2015). Analysis of Transportation Network Vulnerability under Flooding Disasters. Transportation Research Record: Journal of the Transportation Research Board, 2532(1), 37–44. https://doi.org/10.3141/2532-05
• Chen, X. Z., Lu, Q. C., Peng, Z. R., & Ash, J. E. (2015). Analysis of transportation network vulnerability under flooding disasters. Transportation Research Record, 2532, 37–44. https://doi.org/10.3141/2532-05
• Chindaprasirt, P., Klungboonkrong, P., Jaensirisak, S., Faiboun, N., Long, S., Tippichai, A., & Taylor, M. A. P. (2024). Integrated Urban Transport and Land-Use Policies in Reducing CO2 Emissions and Energy Consumption: Case Study of a Medium-Sized City in Thailand. World Electric Vehicle Journal, 15(8), 1–19. https://doi.org/10.3390/wevj15080349
• Choi, Y., & Guhathakurta, S. (2024). Unraveling the diversity in transit-oriented development. Transportation Research Part A: Policy and Practice, 182(February), 104020. https://doi.org/10.1016/j.tra.2024.104020
• Chorus, P., & Bertolini, L. (2016). Developing transit-oriented corridors: Insights from Tokyo. International Journal of Sustainable Transportation, 10(2), 86–95. https://doi.org/10.1080/15568318.2013.855850
• Conesa, A. (2018). The accessibility assessment and the regional range of transit-oriented development: An application of schedule accessibility measures in the Nord Pas-de-Calais region. Journal of Transport and Land Use, 11(1), 119–141. https://doi.org/10.5198/jtlu.2018.850
• Cong, W., Zhou, J., & Lai, Y. (2024). The coordination between citywide rail transit accessibility and land-use characteristics in Shenzhen, China: An explorative analysis based on multidimensional spatial data. Sustainable Cities and Society, 113(December 2023), 105691. https://doi.org/10.1016/j.scs.2024.105691
• Cournoyer-Gendron, M. (2017). The Transit-Oriented Development Model in Montreal (Canada): Mobilizing a Concept and Negotiating Urban Development at the Local and Metropolitan Scale. Environnement Urbain / Urban Environment [En Ligne], 12, 1–22.
• Cox, L., Bassi, A., Kolling, J., Procter, A., Flanders, N., Tanners, N., & Araujo, R. (2017). Exploring synergies between transit investment and dense redevelopment: A scenario analysis in a rapidly urbanizing landscape. Landscape and Urban Planning, 167(November 2016), 429–440. https://doi.org/10.1016/j.landurbplan.2017.07.021
• Deboosere, R., El-Geneidy, A. M., & Levinson, D. (2018). Accessibility-oriented development. Journal of Transport Geography, 70, 11–20. https://doi.org/10.1016/j.jtrangeo.2018.05.015
• Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers and Operations Research, 22(7), 763–770. https://doi.org/10.1016/0305-0548(94)00059-H
• Dotto, L., Duchesne, L., Etkin, D., & Elianna, J. (2010). Canadians at risk : Canadians at risk : Our exposure to natural hazards- Canadian Assessment of Natural Hazards Project (Issue February).
• Dou, Y., Luo, X., Dong, L., Wu, C., Liang, H., & Ren, J. (2016). An empirical study on transit-oriented low-carbon urban land use planning: Exploratory Spatial Data Analysis (ESDA) on Shanghai, China. Habitat International, 53, 379–389. https://doi.org/10.1016/j.habitatint.2015.12.005
• Duran-Encalada, J. A., & Paucar-Caceres, A. (2009). System dynamics urban sustainability model for Puerto Aura in Puebla, Mexico. Systemic Practice and Action Research, 22(2), 77–99. https://doi.org/10.1007/s11213-008-9114-8
• Ehman, E. C., Johnson, G. B., Villanueva-meyer, J. E., Cha, S., Leynes, A. P., Eric, P., Larson, Z., & Hope, T. A. (2017). HHS Public Access. 46(5), 1247–1262. https://doi.org/10.1002/jmri.25711.PET/MRI
• Ewing, R., Kim, K., Sabouri, S., Siddiq, F., & Weinberger, R. (2021). Comparative Case Studies of Parking Reduction at Transit-Oriented Developments in the U.S.A. Transportation Research Record, 2675(1), 125–135. https://doi.org/10.1177/0361198120965558
• Ewing, R., Tian, G., Lyons, T., & Terzano, K. (2017). Trip and parking generation at transit-oriented developments: Five US case studies. Landscape and Urban Planning, 160, 69–78. https://doi.org/10.1016/j.landurbplan.2016.12.002
• Faghri, A., & Venigalla, M. (2014). Measuring Travel Behavior and Transit Trip Generation Characteristics of Transit-Oriented Developments. Transportation Research Board, 2397, 72–79. https://doi.org/10.3141/2397-09
• Fakhruddin, S. H. M., Babel, M. S., & Kawasaki, A. (2015). Assessing the vulnerability of infrastructure to climate change on the Islands of Samoa. Natural Hazards and Earth System Sciences, 15(6), 1343–1356. https://doi.org/10.5194/nhess-15-1343-2015
• Fan, Z., Zhang, F., & Loo, B. P. Y. (2022). Rhythm of Transit Stations-Uncovering the Activity-Travel Dynamics of Transit-Oriented Development in the U.S. IEEE Transactions on Intelligent Transportation Systems, 23(8), 12503–12517. https://doi.org/10.1109/TITS.2021.3115103
• Geurs, K. T., & Wee, B. van. (2004). Accessibility evaluation of land-use and transport strategies: Review and research directions. Journal of Transport Geography, 12(2), 127–140. https://doi.org/10.1016/j.jtrangeo.2003.10.005
• Gilderbloom, J. I., Riggs, W. W., & Meares, W. L. (2015). Does walkability matter? An examination of walkability’s impact on housing values, foreclosures and crime. Cities, 42, 13–24. https://doi.org/10.1016/j.cities.2014.08.001
• Godschalk, D. R. (2003). Urban Hazard Mitigation: Creating Resilient Cities. Natural Hazards Review, 4(3), 136–143. https://doi.org/10.1061/(asce)1527-6988(2003)4:3(136)
• Gourbesville, P., & Batica, J. (2015). Methodology for flood resilience index FOOD RESILIENCE IMPLEMENTATION. … Conference on Flood Resilience …, October. http://icfr2013.ex.ac.uk/papers/C1_Batica.pdf
• Guan, D. J., Li, H. F., Inohae, T., Su, W., Nagaie, T., & Hokao, K. (2011). Modeling urban land use change by the integration of cellular automaton and Markov model. Ecological Modelling, 222(20–22), 3761–3772. https://doi.org/10.1016/j.ecolmodel.2011.09.009
• Guo, E., Zhang, J., Ren, X., Zhang, Q., & Sun, Z. (2014). Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China. Natural Hazards, 74(2), 947–965. https://doi.org/10.1007/s11069-014-1238-9
• Guo, J., Nakamura, F., Li, Q., & Zhou, Y. (2018). Efficiency Assessment of Transit-Oriented Development by Data Envelopment Analysis: Case Study on the Den-en Toshi Line in Japan. Journal of Advanced Transportation, 1155, 1–10. https://doi.org/10.1155/2018/6701484
• Hasibuan, H. S., Sodri, A., & Harmain, R. (2021). The Carrying Capacity Assessment of Two MRT Stations Transit-Oriented Development Areas in Jakarta. Indonesian Journal of Geography, 53(1), 78–86. https://doi.org/10.22146/IJG.51968
• Higgins, C. D., & Kanaroglou, P. S. (2016). A latent class method for classifying and evaluating the performance of station area transit-oriented development in the Toronto region. Journal of Transport Geography, 52, 61–72. https://doi.org/10.1016/j.jtrangeo.2016.02.012
• Higgins, C., & Kanaroglou, P. (2018). Rapid transit, transit-oriented development, and the contextual sensitivity of land value uplift in Toronto. Urban Studies, 55, 2197–2225. https://doi.org/10.1177/0042098017712680
• Hjorth, P., & Bagheri, A. (2006). Navigating towards sustainable development: A system dynamics approach. Futures, 38(1), 74–92. https://doi.org/10.1016/j.futures.2005.04.005
• Hrelja, R., Olsson, L., Pettersson-Löfstedt, F., & Rye, T. (2022). Challenges of delivering TOD in low-density contexts: the Swedish experience of barriers and enablers. European Transport Research Review, 14(1), 1–11. https://doi.org/10.1186/s12544-022-00546-1
• Hsieh, C. H., Tai, H. H., & Lee, Y. N. (2014). Port vulnerability assessment from the perspective of critical infrastructure interdependency. Maritime Policy and Management, 41(6), 589–606. https://doi.org/10.1080/03088839.2013.856523
• Huang, R., Grigolon, A., Madureira, M., & Brussel, M. (2018). Measuring transit-oriented development (TOD) network complementarity based on tod node typology. Journal of Transport and Land Use, 11, 304–324. https://doi.org/10.5198/jtlu.2018.1110
• Huang, X., Liang, Q., Feng, Z., & Chai, S. (2021). A TOD Planning Model Integrating Transport and Land Use in Urban Rail Transit Station Areas. IEEE Access, 9, 1103–1115. https://doi.org/10.1109/ACCESS.2020.3047207
• Ibraeva, A., Correia, G. H. de A., Silva, C., & Antunes, A. P. (2020). Transit-oriented development: A review of research achievements and challenges. Transportation Research Part A: Policy and Practice, 132(October 2019), 110–130. https://doi.org/10.1016/j.tra.2019.10.018
• Ibraeva, A., Van Wee, B., Correia, G. H. de A., & Pais Antunes, A. (2021). Longitudinal macro-analysis of car-use changes resulting from a TOD-type project: The case of Metro do Porto (Portugal). Journal of Transport Geography, 92(July 2020). https://doi.org/10.1016/j.jtrangeo.2021.103036
• Ibrahim, S. M., Ayad, H. M., Turki, E. A., & Saadallah, D. M. (2023). Measuring Transit-Oriented Development (TOD) levels: Prioritize potential areas for TOD in Alexandria, Egypt using GIS-Spatial Multi-Criteria based model. Alexandria Engineering Journal, 67, 241–255. https://doi.org/10.1016/j.aej.2022.12.053
• Jain, A. D., & Singh, E. (2019). Transit oriented development in india: A critical review of policy measures. International Journal of Recent Technology and Engineering, 7(6), 745–751.
• Jamaleddin, M., Ibrahim, H., Ferwati, M. S., Khamidi, M. F., & Indraganti, M. (2022). Pre-Transit Oriented Development Assessment Guidelines for Assessing Metro Station Dependent Component Area. Designs, 6(3). https://doi.org/10.3390/designs6030056
• Jamme, H. T., Rodriguez, J., Bahl, D., & Banerjee, T. (2019). A Twenty-Five-Year Biography of the TOD Concept: From Design to Policy, Planning, and Implementation. Journal of Planning Education and Research, 39(4), 409–428. https://doi.org/10.1177/0739456X19882073
• Jones, C. E., & Ley, D. (2016). Transit-oriented development and gentrification along Metro Vancouver’s low-income SkyTrain corridor. Canadian Geographer, 60(1), 9–22. https://doi.org/10.1111/cag.12256
• Kamruzzaman, M., Baker, D., Washington, S., & Turrell, G. (2014). Advance transit oriented development typology: Case study in brisbane, australia. Journal of Transport Geography, 34, 54–70. https://doi.org/10.1016/j.jtrangeo.2013.11.002
• Kamruzzaman, M., Deilami, K., & Yigitcanlar, T. (2018). Investigating the urban heat island effect of transit oriented development in Brisbane. Journal of Transport Geography, 66, 116–124. https://doi.org/10.1016/j.jtrangeo.2017.11.016
• Ke, L., Furuya, K., & Luo, S. (2021). Case comparison of typical transit-oriented-development stations in Tokyo district in the context of sustainability: Spatial visualization analysis based on FAHP and GIS. Sustainable Cities and Society, 68(September 2020). https://doi.org/10.1016/j.scs.2021.102788
• Khare, R., Villuri, V. G. K., & Chaurasia, D. (2020). Urban sustainability assessment: The evaluation of coordinated relationship between BRTS and land use in transit-oriented development mode using DEA model. Ain Shams Engineering Journal, xxxx. https://doi.org/10.1016/j.asej.2020.08.012
• Khosravi, H., Abrishami, M., Mehrian, M. R., & Chamberlain, B. (2024). The positive impact of transit-oriented-development characteristics on Metro Station usage: A case study of Tehran’s metro stations and TOD index calculation. Cities, 148(June 2022), 104840. https://doi.org/10.1016/j.cities.2024.104840
• Kim, S., & Yeo, H. (2016). A Flow-based Vulnerability Measure for the Resilience of Urban Road Network. Procedia - Social and Behavioral Sciences, 218, 13–23. https://doi.org/10.1016/j.sbspro.2016.04.006
• Laaly, S., Jeihani, M., & Lee, Y. J. (2017). A multiscale, transit-oriented development definition based on context-sensitive paradigm. Transportation Research Record, 2671, 31–39. https://doi.org/10.3141/2671-04
• Langlois, M., Van Lierop, D., Wasfi, R. A., & El-Geneidy, A. M. (2015). Chasing sustainability do new transit-oriented development residents adopt more sustainable modes of transportation? Transportation Research Record, 2531(2531), 83–92. https://doi.org/10.3141/2531-10
• Lavoie, M., & El-Geneidy, A. (2012). Characterizing Land use and Transportation for Transit-Oriented Development in the Montreal Metropolitan Region. http://digitool.library.mcgill.ca:80/R/-?func=dbin-jump-full&object_id=122527&silo_library=GEN01
• Lee, E. H., & Kim, J. H. (2017). Development of resilience index based on flooding damage in urban areas. Water (Switzerland), 9(6), 1–15. https://doi.org/10.3390/w9060428
• Lee, E. H., Shin, H., Cho, S.-H., Kho, S.-Y., & Kim, D.-K. (2019). Evaluating the Efficiency of Transit-Oriented Envelopment Analysis. Energies, 12, 1–15.
• Lee, J. (Brian), & Salih, S. H. (2024). Passive transit accessibility: Modelling and application for transit gap analysis and station area assessment. Journal of Transport Geography, 114(October 2023), 103757. https://doi.org/10.1016/j.jtrangeo.2023.103757
• Lee, J., Choi, K., & Leem, Y. (2016). Bicycle-based transit-oriented development as an alternative to overcome the criticisms of the conventional transit-oriented development. International Journal of Sustainable Transportation, 10, 975–984. https://doi.org/10.1080/15568318.2014.923547
• Lee, J. S., & Choi, H. Il. (2019). applied sciences Comparative Analysis of Flood Vulnerability Indicators by Aggregation Frameworks for the IPCC ’ s Assessment Components to Climate Change. Applied Science, 9(2321).
• Lee, R. W., & Cervero, R. (2007). Research Basis for Proposed Criteria of the TOD Housing Program. The effect of housing near transit stations on vehicle trip rates and transit trip generation. A review of available evidence. California: University of California, Insitute of Urban and Reg.
• Lee, S., Yi, C., & Hong, S. P. (2013). Urban structural hierarchy and the relationship between the ridership of the Seoul Metropolitan Subway and the land-use pattern of the station areas. Cities, 35, 69–77. https://doi.org/10.1016/j.cities.2013.06.010
• Li, J., Luo, X., Wang, H., Qiu, Y., & Fan, W. (2022). Bilevel Programming Model for Park-and-Ride Versus Transit-Oriented Development: A Case Study of Chengdu City, China. Journal of Urban Planning and Development, 148(1), 1–14. https://doi.org/10.1061/(asce)up.1943-5444.0000786
• Li, L., Cao, R., Wei, K., Wang, W., & Chen, L. (2019). Adapting climate change challenge: A new vulnerability assessment framework from the global perspective. Journal of Cleaner Production, 217, 216–224. https://doi.org/10.1016/j.jclepro.2019.01.162
• Li, P., Zhao, P., & Brand, C. (2018). Future energy use and CO2 emissions of urban passenger transport in China: A travel behavior and urban form based approach. Applied Energy, 211(October 2017), 820–842. https://doi.org/10.1016/j.apenergy.2017.11.022
• Li, S., Lyu, D., Huang, G., Zhang, X., Gao, F., Chen, Y., & Liu, X. (2020). Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China. Journal of Transport Geography, 82, 1–14. https://doi.org/10.1016/j.jtrangeo.2019.102631
• Li, X., Liu, Y., Gao, Z., & Liu, D. (2016). Decision Tree Based Station-Level Rail Transit Ridership Forecasting. Journal of Urban Planning and Development, 142(4), 04016011. https://doi.org/10.1061/(asce)up.1943-5444.0000331
• Li, X., Xiao, Q., Zhu, Y., & Yang, Y. (2022). Influence of TOD Modes on Passenger Travel Behavior in Urban Rail Transit Systems. Urban Rail Transit, 8(3–4), 175–183. https://doi.org/10.1007/s40864-022-00179-6
• Li, Z., Han, Z., Xin, J., Luo, X., Su, S., & Weng, M. (2019a). Transit oriented development among metro station areas in Shanghai, China: Variations, typology, optimization and implications for land use planning. Land Use Policy, 82, 269–282. https://doi.org/10.1016/j.landusepol.2018.12.003
• Li, Z., Han, Z., Xin, J., Luo, X., Su, S., & Weng, M. (2019b). Transit oriented development among metro station areas in Shanghai, China: Variations, typology, optimization and implications for land use planning. Land Use Policy, 82(129), 269–282. https://doi.org/10.1016/j.landusepol.2018.12.003
• Likas, A., Vlassis, N., & J. Verbeek, J. (2003). The global k-means clustering algorithm. Pattern Recognition, 36(2), 451–461. https://doi.org/10.1016/S0031-3203(02)00060-2
• Limmonthol, A., Rudjanakanoknad, J., & Bunditsakulchai, P. (2020). The Examination of the Effects of Land Use Development on the Balance of Mass Transit Ridership. Engineering Journal, 24, 1–17. https://doi.org/10.4186/ej.2020.24.2.1
• Lin, J. J., & Li, C. N. (2006). A grey programming model for regional transit-oriented development planning. Papers in Regional Science, 87(1), 119–138. https://doi.org/10.1111/j.1435-5957.2007.00146.x
• Lin, T., Palmer, R., Xia, J., & Mcmeekin, D. A. (2014). Automatic generation of station catchment areas: A comparison of Euclidean distance transform algorithm and location-allocation methods. 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014, December 2016, 963–967. https://doi.org/10.1109/FSKD.2014.6980969
• Litman, T., & Burwell, D. (2006). Issues in sustainable transportation. International Journal of Global Environmental Issues, 6(4), 331–347. https://doi.org/10.1504/IJGENVI.2006.010889
• Liu, J. H., Pai, J. Te, & Lin, J. J. (2018). Planning Strategy for Green Transit Oriented Development Using A Multi-objecitve Planning Model. International Review for Spatial Planning and Sustainable Development, 6A, 35–52. https://doi.org/10.14246/irspsd.6a.1_35
• Lokku, P. S., & Prasad, C. S. R. K. (2018). Framework for Establishing Feasible Transit Oriented Development Locations: a Case Study in Hyderabad, India. International Journal for Traffic and Transport Engineering, 8, 228–240. https://doi.org/10.7708/ijtte.2018.8(2).07
• Loo, B. P. Y., & du Verle, F. (2017). Transit-oriented development in future cities: towards a two-level sustainable mobility strategy. International Journal of Urban Sciences, 21, 54–67. https://doi.org/10.1080/12265934.2016.1235488
• Lückerath, D., Bogen, M., Rome, E., Sojeva, B., Ullrich, O., Worst, R., & Xie, J. (2018). The RESIN climate change adaptation project and its simple modeling approach for risk-oriented vulnerability assessment The RESIN climate change adaptation project and its simple modeling approach for risk-oriented vulnerability assessment. March.
• Luo, G., Yin, C., Chen, X., Xu, W., & Lu, L. (2010). Combining system dynamic model and CLUE-S model to improve land use scenario analyses at regional scale: A case study of Sangong watershed in Xinjiang, China. Ecological Complexity, 7(2), 198–207. https://doi.org/10.1016/j.ecocom.2010.02.001
• Lyle, T. S., & Hund, S. V. (2017). GEOLOGICAL SURVEY OF CANADA OPEN FILE 8255 Way forward for risk assessment tools in Canada.
• Lyu, G., Bertolini, L., & Pfeffer, K. (2016a). Developing a TOD typology for Beijing metro station areas. Journal of Transport Geography, 55, 40–50. https://doi.org/10.1016/j.jtrangeo.2016.07.002
• Lyu, G., Bertolini, L., & Pfeffer, K. (2016b). Developing a TOD typology for Beijing metro station areas. Journal of Transport Geography, 55, 40–50. https://doi.org/10.1016/j.jtrangeo.2016.07.002
• Lyu, G., Bertolini, L., & Pfeffer, K. (2019). How does transit-oriented development contribute to station area accessibility? A study in Beijing. International Journal of Sustainable Transportation, 10, 1–11. https://doi.org/10.1080/15568318.2019.1578841
• Ma, D., & Chen, Y. (2019). Research on TOD Planning of Urban Rail Transit Based on Cellular Automata. 4th International Conference on Electromechanical Control Technology and Transportation (ICECTT) Research, 332–335. https://doi.org/10.1109/ICECTT.2019.00082
• Ma, X., Chen, X., Li, X., Ding, C., & Wang, Y. (2018). Sustainable station-level planning: An integrated transport and land use design model for transit-oriented development. Journal of Cleaner Production, 170, 1052–1063. https://doi.org/10.1016/j.jclepro.2017.09.182
• Mahriyar, M. Z., & Rho, J. H. (2014). The Compact City Concept in Creating Resilient City and Transportation System in Surabaya. Procedia - Social and Behavioral Sciences, 135, 41–49. https://doi.org/10.1016/j.sbspro.2014.07.323
• Manna, P., Anis, M. Z., Das, P., & Banerjee, S. (2019). Probabilistic Modeling of Flood Hazard and its Risk Assessment for Eastern Region of India. Risk Analysis, 39(7), risa.13333. https://doi.org/10.1111/risa.13333
• Marcussen, M. (2018). CITY OF CHICO CLIMATE CHANGE VULNERABILITY ASSESSMENT CLIMATE CHANGE VULNERABILITY ASSESSMENT. 1–46.
• McDaniels, T., Chang, S., Cole, D., Mikawoz, J., & Longstaff, H. (2008). Fostering resilience to extreme events within infrastructure systems: Characterizing decision contexts for mitigation and adaptation. Global Environmental Change, 18(2), 310–318. https://doi.org/10.1016/j.gloenvcha.2008.03.001
• Meerow, S., Newell, J. P., & Stults, M. (2016). Defining urban resilience: A review. Landscape and Urban Planning, 147, 38–49. https://doi.org/10.1016/j.landurbplan.2015.11.011
• Mojtahedi, M., Newton, S., & Von Meding, J. (2017). Predicting the resilience of transport infrastructure to a natural disaster using Cox’s proportional hazards regression model. Natural Hazards, 85(2), 1119–1133. https://doi.org/10.1007/s11069-016-2624-2
• Monajem, S., & Ekram Nosratian, F. (2015). The evaluation of the spatial integration of station areas via the node place model; an application to subway station areas in Tehran. Transportation Research Part D: Transport and Environment, 40, 14–27. https://doi.org/10.1016/j.trd.2015.07.009
• Morency, P., Plante, C., Dub, A., Goudreau, S., Morency, C., Bourbonnais, P., Eluru, N., Louis-françois, T., & Hatzopoulou, M. (2020). The Potential Impacts of Urban and Transit Planning Scenarios for 2031 on Car Use and Active Transportation in a Metropolitan Area. Environmental Research and Public Health, 17, 1–15.
• Motieyan, H., & Mesgari, M. (2017). Towards Sustainable Urban Planning Through Transit-Oriented Development (A Case Study: Tehran). ISPRS International Journal of Geo-Information, 6, 1–16. https://doi.org/10.3390/ijgi6120402
• Motieyan, H., & Mesgari, M. S. (2018). Development of a TOD Index through Spatial Analyses and HFIS in Tehran, Iran. Journal of Urban Planning and Development, 144(4), 04018038. https://doi.org/10.1061/(asce)up.1943-5444.0000484
• Motieyan, H., & Mesgari, M. S. (2019). A novel spatial index using spatial analyses and hierarchical fuzzy expert system for obtaining green TOD : a case study in Tehran city. Geocarto International, 34, 1–22. https://doi.org/10.1080/10106049.2017.1353644
• Mudigonda, S., Ozbay, K., Ozturk, O., Iyer, S., & Noland, R. B. (2014). Quantifying transportation benefits of transit-oriented development in New Jersey. Transportation Research Record, 2417, 111–120. https://doi.org/10.3141/2417-12
• Nasri, A., Carrion, C., Zhang, L., & Baghaei, B. (2018a). Using propensity score matching technique to address self-selection in transit-oriented development (TOD) areas. Transportation, 47, 359–371. https://doi.org/10.1007/s11116-018-9887-2
• Nasri, A., Carrion, C., Zhang, L., & Baghaei, B. (2018b). Using propensity score matching technique to address self-selection in transit-oriented development (TOD) areas. Transportation, 1–13. https://doi.org/10.1007/s11116-018-9887-2
• Nasri, A., Carrion, C., Zhang, L., & Baghaei, B. (2020). Using propensity score matching technique to address self-selection in transit-oriented development (TOD) areas. Transportation, 47(1), 359–371. https://doi.org/10.1007/s11116-018-9887-2
• Nasri, A., & Zhang, L. (2014). The analysis of transit-oriented development (TOD) in Washington, D.C. and Baltimore metropolitan areas. Transport Policy, 32, 172–179. https://doi.org/10.1016/j.tranpol.2013.12.009
• Nasri, A., & Zhang, L. (2019). How urban form characteristics at both trip ends influence mode choice: Evidence from TOD vs. Non-TOD zones of the Washington, D.C. metropolitan area. Sustainability (Switzerland), 11(12). https://doi.org/10.3390/SU11123403
• Nazarnia, N., Schwick, C., & Jaeger, J. A. G. (2016a). Accelerated urban sprawl in Montreal, Quebec City, and Zurich: Investigating the differences using time series 1951-2011. Ecological Indicators, 60, 1229–1251. https://doi.org/10.1016/j.ecolind.2015.09.020
• Nazarnia, N., Schwick, C., & Jaeger, J. A. G. (2016b). Accelerated urban sprawl in Montreal, Quebec City, and Zurich: Investigating the differences using time series 1951-2011. Ecological Indicators, 60, 1229–1251. https://doi.org/10.1016/j.ecolind.2015.09.020
• Nelson, A., Lindbergh, S., Stephenson, L., & Halpern, J. (2019). Coupling Natural Hazard Estimates with Road Network Analysis to Assess Vulnerability and Risk : Case Study of Freetown , Building Disruption Simulations in Hydrometeorological Risk Areas in Data-Scarce Sierra Leone. https://doi.org/10.1177/0361198118822272
• Nemroudi, R., Ortuño, A., Flor, M., & Guirao, B. (2024). Application of the Node–Place Model in Algiers (Algeria). Sustainability (Switzerland), 16(15). https://doi.org/10.3390/su16156428
• Nguyen, T. M. C., Kato, H., & Phan, L. B. (2020). Is Built Environment Associated with Travel Mode Choice in Developing Cities ? Evidence from Hanoi. Sustainability, 12, 1–16.
• Nieves-Melendez, M. E., & De La Garza, J. M. (2016). A Comparison of Two Quantitative Frameworks for Measuring the Resilience of Ground Transportation Systems. Construction Research Congress, 1373–1382.
• Nigro, A., Bertolini, L., Domenico, F., & Moccia, F. D. (2019). Land use and public transport integration in small cities and towns: Assessment methodology and application. Journal of Transport Geography, 74, 110–124. https://doi.org/10.1016/j.jtrangeo.2018.11.004
• Nurlaela, S., Nadyla, A., Zuhdi, A. Y., Handayeni, K. D. M. E., Fakhrianto, I., Nurkhariza, A. R., & Yusuf, L. (2019). Qualitative comparative assessment by fsQCA for Transit Oriented Development (TOD) area comparison. IOP Conference Series: Earth and Environmental Science, 340, 1–13. https://doi.org/10.1088/1755-1315/340/1/012037
• Nyunt, K. T. K., & Wongchavalidkul, N. (2020). Evaluation of Relationships Between Ridership Demand and Transit-Oriented Development (TOD) Indicators Focused on Land Use Density, Diversity, and Accessibility: A Case Study of Existing Metro Stations in Bangkok. Urban Rail Transit, 6, 56–70. https://doi.org/10.1007/s40864-019-00122-2
• Ogra, A., & Ndebele, R. (2013). The Role of 6Ds : Density , Diversity , Design , Destination , Distance , and Demand Management in Transit Oriented Development ( TOD ). Neo-International Conference on Habitable Environments, May 2013, 539–546.
• Olaru, D., Moncrieff, S., Mccarney, G., Sun, Y., Reed, T., Pattison, C., Smith, B., & Biermann, S. (2019). Place vs . Node Transit : Planning Policies Revisited. Sustainability, 11, 1–14. https://doi.org/10.3390/su11020477
• Pan, H., & Huang, Y. (2024). TOD typology and station area vibrancy: An interpretable machine learning approach. Transportation Research Part A: Policy and Practice, 186(December 2023), 104150. https://doi.org/10.1016/j.tra.2024.104150
• Pan, H., Li, J., Shen, Q., & Shi, C. (2017a). What determines rail transit passenger volume? Implications for transit oriented development planning. Transportation Research Part D, 57, 52–63. https://doi.org/10.1016/j.jtrangeo.2016.02.012
• Pan, H., Li, J., Shen, Q., & Shi, C. (2017b). What determines rail transit passenger volume? Implications for transit oriented development planning. Transportation Research Part D: Transport and Environment, 57(September), 52–63. https://doi.org/10.1016/j.trd.2017.09.016
• Papa, E., & Bertolini, L. (2015). Accessibility and Transit-Oriented Development in European metropolitan areas. Journal of Transport Geography, 47, 70–83. https://doi.org/10.1016/j.jtrangeo.2015.07.003
• Papa, E., Moccia, F. D., Angiello, G., & Inglese, P. (2013). An accessibility planning tool for Network Transit Oriented Development: SNAP. Urbanism, 2, 1–9.
• Park, K., Ewing, R., Scheer, B. C., & Ara Khan, S. S. (2018). Travel Behavior in TODs vs. Non-TODs: Using Cluster Analysis and Propensity Score Matching. Transportation Research Record, 2672(6), 31–39. https://doi.org/10.1177/0361198118774159
• Park, K., Ewing, R., Scheer, B. C., & Tian, G. (2018). The impacts of built environment characteristics of rail station areas on household travel behavior. Cities, 74, 277–283. https://doi.org/10.1016/j.cities.2017.12.015
• Park, K., & Lee, M.-H. (2019). The Development and Application of the Urban Flood Risk Assessment Model for Reflecting upon Urban Planning Elements. Water, 11, 1–17.
• Patarasuk, R. (2013). Road network connectivity and land-cover dynamics in Lop Buri province, Thailand. Journal of Transport Geography, 28, 111–123. https://doi.org/10.1016/j.jtrangeo.2012.11.011
• Peck, A., Neuwirth, C., & Simonovic, S. P. (2014). Coupling System Dynamics with Geographic Information Systems: CCaR Project Report (Issue March). http://www.eng.uwo.ca/research/iclr/fids/publications/products/86.pdf
• Pezeshknejad, P., Monajem, S., & Mozafari, H. (2020). Evaluating sustainability and land use integration of BRT stations via extended node place model, an application on BRT stations of Tehran. Journal of Transport Geography, 82, 1–14. https://doi.org/10.1016/j.jtrangeo.2019.102626
• Phani Kumar, P., Ravi Sekhar, C., & Parida, M. (2020). Identification of neighborhood typology for potential transit-oriented development. Transportation Research Part D: Transport and Environment, 78, 1–20. https://doi.org/10.1016/j.trd.2019.11.015
• Pongprasert, P., & Kubota, H. (2019). TOD residents’ attitudes toward walking to transit station: a case study of transit-oriented developments (TODs) in Bangkok, Thailand. Journal of Modern Transportation, 27, 39–51. https://doi.org/10.1007/s40534-018-0170-1
• Public Safety Canada. (2017). An Emergency Management Framework for Canada: Ministers Responsible for Emergency Management - Third Edition. May, 1–23.
• Rabiei, N., Nasiri, F., & Eicker, U. (2022). Multistage Transit-Oriented Development Assessment: A Case Study of the Montréal Metro System. Journal of Urban Planning and Development, 148(3), 1–17. https://doi.org/10.1061/(asce)up.1943-5444.0000836
• Rahman, M. H., Ashik, F. R., & Mouli, M. J. (2022). Investigating spatial accessibility to urban facility outcome of transit-oriented development in Dhaka. Transportation Research Interdisciplinary Perspectives, 14(October 2021), 100607. https://doi.org/10.1016/j.trip.2022.100607
• Rahmat, A., Endot, I. R., Ahmad, Z., Ishak, Z., & Ibrahim, C. K. I. (2016). Development of Transit Oriented Development ( TOD ) Model for Malaysia. Built Environment, Technology and Engineering, 1, 36–47.
• Rausand, M., & Hoyland, A. (2004). System reliability Theory (Second). A JOHN WILEY & SONS, INC., PUBLICATION.
• Reggiani, A., Nijkamp, P., & Lanzi, D. (2015). Transport resilience and vulnerability: The role of connectivity. Transportation Research Part A: Policy and Practice, 81, 4–15. https://doi.org/10.1016/j.tra.2014.12.012
• Renne, J. L., Tolford, T., Hamidi, S., & Ewing, R. (2016). The Cost and Affordability Paradox of Transit-Oriented Development: A Comparison of Housing and Transportation Costs Across Transit-Oriented Development, Hybrid and Transit-Adjacent Development Station Typologies. Housing Policy Debate, 26, 819–834. https://doi.org/10.1080/10511482.2016.1193038
• Roszkowska, E. (2013). Rank Ordering Criteria Weighting Methods a Comparative Overview. Optimum. Studia Ekonomiczne, 65, 14–33. https://doi.org/10.15290/ose.2013.05.65.02
• Rowan, E., Kafalenos, R., Rodehorst, B., Gye, A., Hyman, R., Snow, C., Asam, S., & Choate, A. (2015). Indicator Approach for Assessing Climate Change Vulnerability in Transportation Infrastructure. Transportation Research Record: Journal of the Transportation Research Board, 2459, 18–28. https://doi.org/10.3141/2459-03
• Ruan, Z., Feng, X., Wu, F., Ding, C., & Hua, W. (2021). Land Use and Transport Integration Modeling with Immune Genetic Optimization for Urban Transit-Oriented Development. Journal of Urban Planning and Development, 147(1), 04020063. https://doi.org/10.1061/(asce)up.1943-5444.0000658
• Rubio, C. J. P., Yu, I., Kim, H., Kim, S., & Jeong, S. (2019). An Investigation of the Adequacy of Urban Evacuation Centers Using Index-based Flood Risk Assessment. Journal of the Korean Society of Hazard Mitigation, 19(2), 197–207. https://doi.org/10.9798/kosham.2019.19.2.197
• Saaty, T. L. (2008). Decision making with the analytic hierarchy process. Services Sciences, 1(1), 83–98. https://doi.org/10.1016/0305-0483(87)90016-8
• Sahu, A. (2018). A methodology to modify land uses in a transit oriented development scenario. Journal of Environmental Management, 213, 467–477. https://doi.org/10.1016/j.jenvman.2017.12.004
• Santiago, R. (2017). The Role of Urban Infrastructure in Supporting Transit-Oriented Development.
• Savvides, A. L. (2017). Smart growth through joint highway air rights and transit-oriented development. International Journal of Sustainable Development and Planning, 12(7), 1142–1154. https://doi.org/10.2495/SDP-V12-N7-1142-1154
• Schlossberg, M., & Brown, N. (2004). Comparing Transit-Oriented Development Sites by Walkability Indicators. Transportation Research Record: Journal of the Transportation Research Board, 1887(1), 34–42. https://doi.org/10.3141/1887-05
• Searle, G., Darchen, S., & Huston, S. (2014). Positive and Negative Factors for Transit Oriented Development: Case Studies from Brisbane, Melbourne and Sydney. Urban Policy and Research, 32, 437–457. https://doi.org/10.1080/08111146.2014.931280
• Seidelsohn, K., Voss, M., & Krüger, D. (2018). Researching milieu-specific perceptions of risk, (in)security, and vulnerability—A conceptual approach for understanding the inequality and segregation nexus in urban spaces. In Urban Book Series. https://doi.org/10.1007/978-3-319-68606-6_21
• Sharifi, A. (2016). A critical review of selected tools for assessing community resilience. Ecological Indicators, 69, 629–647. https://doi.org/10.1016/j.ecolind.2016.05.023
• Shepherd, S. P. (2014a). A review of system dynamics models applied in transportation. Transportmetrica B, 2(2), 83–105. https://doi.org/10.1080/21680566.2014.916236
• Shepherd, S. P. (2014b). A review of system dynamics models applied in transportation. Transportmetrica B, 2(2), 83–105. https://doi.org/10.1080/21680566.2014.916236
• Simonovic. (2016). From risk management to quantitative disaster resilience - A paradigm shift. International Journal of Safety and Security Engineering, 6(2), 85–95. https://doi.org/10.2495/SAFE-V6-N2-85-95
• Simonovic, P. S., & Arunkumar, R. (2016). Comparison of static and dynamic resilience for a multipurpose reservoir operation. Journal of the American Water Resources Association, 52, 20. https://doi.org/10.1111/j.1752-1688.1969.tb04897.x
• Simonovic, S., & Ahmad, S. (2005). Computer-based model for flood evacuation emergency planning. Natural Hazards, 34(1), 25–51. https://doi.org/10.1007/s11069-004-0785-x
• Simonovic, S. P. (2015). Systems Approach to Management of Disasters – A Missed Opportunity. Journal of Integrated Disaster Risk Management, 5(2), 70–83. https://doi.org/10.5595/idrim.2015.0099
• Simonovic, S. P., & Peck, A. (2013). Dynamic Resilience to Climate Change Caused Natural Disasters in Coastal Megacities Quantification Framework. British Journal of Environment and Climate Change, 3(3), 378–401. https://doi.org/10.9734/bjecc/2013/2504
• Singh, Y. J., Fard, P., Zuidgeest, M., Brussel, M., & Maarseveen, M. van. (2014). Measuring transit oriented development: A spatial multi criteria assessment approach for the City Region Arnhem and Nijmegen. Journal of Transport Geography, 35, 130–143. https://doi.org/10.1016/j.jtrangeo.2014.01.014
• Singh, Y. J., Lukman, A., Flacke, J., Zuidgeest, M., & Van Maarseveen, M. F. A. M. (2017). Measuring TOD around transit nodes - Towards TOD policy. Transport Policy, 56, 96–111. https://doi.org/10.1016/j.tranpol.2017.03.013
• Singh, Y. J., Lukman, A., He, P., Flacke, J., Zuidgeest, M., & Maarseveen, M. Van. (2015). Planning for Transit Oriented Development ( TOD ) using a TOD index. Transportation Research Board 94th Annual Meeting, 27(15–2132), 1–20.
• Singh, Y. J., Martinez, J., Flacke, J., Flacke, J., Zuidgeest, M., & van Maarseveen, M. (2015). Planning for Transit Oriented Development (TOD) Using a TOD Index. In GIS in Sustainable Urban Planning and Management (Issue January). https://doi.org/10.1201/9781315146638-15
• Sohoni, A. V., Thomas, M., & Rao, K. V. K. (2017). Application of the concept of transit oriented development to a suburban neighborhood. Transportation Research Procedia, 25, 3220–3232. https://doi.org/10.1016/j.trpro.2017.05.135
• Staricco, L., & Vitale Brovarone, E. (2018). Promoting TOD through regional planning. A comparative analysis of two European approaches. Journal of Transport Geography, 66(November 2017), 45–52. https://doi.org/10.1016/j.jtrangeo.2017.11.011
• Su, S., Wang, Z., Li, B., & Kang, M. (2022). Deciphering the influence of TOD on metro ridership: An integrated approach of extended node-place model and interpretable machine learning with planning implications. Journal of Transport Geography, 104(129), 103455. https://doi.org/10.1016/j.jtrangeo.2022.103455
• Su, S., Zhao, C., Zhou, H., Li, B., & Kang, M. (2022). Unraveling the relative contribution of TOD structural factors to metro ridership: A novel localized modeling approach with implications on spatial planning. Journal of Transport Geography, 100(129), 103308. https://doi.org/10.1016/j.jtrangeo.2022.103308
• Swanson, J. (2003). The Dynamic Urban Model: Transport and Urban Development. Proceedings of the 21st International Conference of the System Dynamics Society.
• Taki, H. M., Maatouk, M. M. H., & Qurnfulah, E. M. (2017). Re-Assessing TOD index in Jakarta Metropolitan Region (JMR). Journal of Applied Geospatial Information, 1, 26–35.
• Taki, M. H., & Maatouk, M. M. H. (2018). Spatial Statistical Analysis for Potential Transit Oriented Development (TOD) in Jakarta Metropolitan Region. Geoscience, Engineering, Environment, and Technology, 3, 47–56. https://doi.org/10.24273/jgeet.2018.3.01.1091
• Tamakloe, R., & Hong, J. (2020). Assessing the efficiency of integrated public transit stations based on the concept of transit- oriented development. Transportmetrica A: Transport Science, 16, 1459–1489. https://doi.org/10.1080/23249935.2020.1753849
• Tamima, U., & Chouinard, L. (2016). Development of evacuation models for moderate seismic zones: A case study of Montreal. International Journal of Disaster Risk Reduction, 16, 167–179. https://doi.org/10.1016/j.ijdrr.2016.02.003
• Tan, Y., Jiao, L., Shuai, C., & Shen, L. (2018). A system dynamics model for simulating urban sustainability performance: A China case study. Journal of Cleaner Production, 199, 1107–1115. https://doi.org/10.1016/j.jclepro.2018.07.154
• Tang, Y., & Huang, S. (2019a). Assessing seismic vulnerability of urban road networks by a Bayesian network approach. Transportation Research Part D, 02(003), 1–13. https://doi.org/10.1016/j.trd.2019.02.003
• Tang, Y., & Huang, S. (2019b). Assessing seismic vulnerability of urban road networks by a Bayesian network approach. Transportation Research Part D: Transport and Environment, xxxx, 1–13. https://doi.org/10.1016/j.trd.2019.02.003
• Theocharidou, M., & Giannopoulos, G. (2015). Risk assessment methodologies for critical infrastructure protection . Part II : A new approach Risk assessment methodologies for critical infrastructure protection . Part II : A new approach. In European Commission Joint Research Centre-Institute for Protection and Security of the Citizen. https://doi.org/10.2788/621843
• Tian, G., Ewing, R., Weinberger, R., Shively, K., Stinger, P., & Hamidi, S. (2017). Trip and parking generation at transit-oriented developments: a case study of Redmond TOD, Seattle region. Transportation, 44(5), 1235–1254. https://doi.org/10.1007/s11116-016-9702-x
• Tong, X., Wang, Y., Chan, E. H. W., & Zhou, Q. (2018). Correlation between transit-oriented development (TOD), land use catchment areas, and local environmental transformation. Sustainability (Switzerland), 10(12). https://doi.org/10.3390/su10124622
• Tzeng, G.-H., & Huang, J.-J. (2011). Multiple Attribute Decision Making. In Multiple Attribute Decision Making. https://doi.org/10.1201/b11032
• Vale, D. S. (2015). Transit-oriented development, integration of land use and transport, and pedestrian accessibility: Combining node-place model with pedestrian shed ratio to evaluate and classify station areas in Lisbon. Journal of Transport Geography, 45, 70–80. https://doi.org/10.1016/j.jtrangeo.2015.04.009
• Vale, D. S., Saraiva, M., & Pereira, M. (2016). Active accessibility: A review of operational measures of walking and cycling accessibility. Journal of Transport and Land Use, 9, 209–235. https://doi.org/10.5198/jtlu.2015.593
• Vale, D. S., Viana, C. M., & Pereira, M. (2018). The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon’s subway network. Journal of Transport Geography, 69, 282–293. https://doi.org/10.1016/j.jtrangeo.2018.05.004
• van Lierop, D., Maat, K., & El-Geneidy, A. (2017). Talking TOD: learning about transit-oriented development in the United States, Canada, and the Netherlands. Journal of Urbanism, 10, 49–62. https://doi.org/10.1080/17549175.2016.1192558
• Waghwala, R. K., & Agnihotri, P. G. (2019). Flood risk assessment and resilience strategies for flood risk management: A case study of Surat City. International Journal of Disaster Risk Reduction, April, 101155. https://doi.org/10.1016/j.ijdrr.2019.101155
• Wang, J., Tan, W., & Huang, J. (2024). Extending TOD through the interrelationship between transport and land use: A case study of Beijing. Land Use Policy, 144(September 2023), 107257. https://doi.org/10.1016/j.landusepol.2024.107257
• Wang, Y., Welch, T. F., Wu, B., Ye, X., & Ducca, F. W. (2016). Impact of transit-oriented development policy scenarios on travel demand measures of mode share, trip distance and highway usage in Maryland. KSCE Journal of Civil Engineering, 20(3), 1006–1016. https://doi.org/10.1007/s12205-016-0618-y
• Wanke, P., & Kalam Azad, M. A. (2018). Efficiency in Asian railways: a comparison between data envelopment analysis approaches. Transportation Planning and Technology, 41(6), 573–599. https://doi.org/10.1080/03081060.2018.1488928
• Wey, W. M. (2013). Smart Growth Principles Combined with Fuzzy AHP and DEA Approach to the Transit-oriented Development ( TOD ) Planning in Urban Transportation Systems. Energy Technologies and Policy, 3, 251–258.
• Wey, W. M. (2015). Smart growth and transit-oriented development planning in site selection for a new metro transit station in Taipei, Taiwan. Habitat International, 47, 158–168. https://doi.org/10.1016/j.habitatint.2015.01.020
• Wey, W. M., & Chiu, Y. H. (2013). Assessing the walkability of pedestrian environment under the transit-oriented development. Habitat International, 38, 106–118. https://doi.org/10.1016/j.habitatint.2012.05.004
• Wey, W. M., Zhang, H., & Chang, Y. J. (2016). Alternative transit-oriented development evaluation in sustainable built environment planning. Habitat International, 55, 109–123. https://doi.org/10.1016/j.habitatint.2016.03.003
• White, R., Boult, T., & Chow, E. (2014). A computational asset vulnerability model for the strategic protection of the critical infrastructure. International Journal of Critical Infrastructure Protection, 7(3), 167–177. https://doi.org/10.1016/j.ijcip.2014.06.002
• Woodruff, S., BenDor, T. K., & Strong, A. L. (2018). Fighting the inevitable: infrastructure investment and coastal community adaptation to sea level rise. System Dynamics Review, 34(1–2), 48–77. https://doi.org/10.1002/sdr.1597
• Wu, W., & Divigalpitiya, P. (2022). Assessment of Accessibility and Activity Intensity to Identify Future Development Priority TODs in Hefei City. Land, 11(9). https://doi.org/10.3390/land11091590
• Wu, Y., Zhong, P. an, Zhang, Y., Xu, B., Ma, B., & Yan, K. (2015). Integrated flood risk assessment and zonation method: A case study in Huaihe River basin, China. Natural Hazards, 78(1), 635–651. https://doi.org/10.1007/s11069-015-1737-3
• Xia, T., Song, X., Song, X., Lu, M., Huang, S., Shibasaki, R., & Kim, K.-S. (2019). From walkability to bikeability: A GIS based analysis of integrating bike sharing service in Tokyo TOD system. Abstracts of the ICA, 1, 1–2. https://doi.org/10.5194/ica-abs-1-409-2019
• Xian, S., Yin, J., Lin, N., & Oppenheimer, M. (2018). Influence of risk factors and past events on flood resilience in coastal megacities: Comparative analysis of NYC and Shanghai. Science of the Total Environment, 610–611, 1251–1261. https://doi.org/10.1016/j.scitotenv.2017.07.229
• Yang, W., Yan, W., Chen, L., Wei, H., & Gan, S. (2024). Developing a TOD assessment model based on node–place–ecology for suburban areas of metropolitan cities: A case in Odawara. Environment and Planning B: Urban Analytics and City Science, 51(4), 839–853. https://doi.org/10.1177/23998083231202880
• Yang, X., Zheng, X., Cao, Y., Chen, H., Tang, L., & Yang, H. (2023). Connectivity analysis in pedestrian networks: A case study in Wuhan, China. Applied Geography, 151(December 2022), 102843. https://doi.org/10.1016/j.apgeog.2022.102843
• Yang, Y., Zhong, C., & Gao, Q. L. (2022). An extended node-place model for comparative studies of transit-oriented development. Transportation Research Part D: Transport and Environment, 113(October), 103514. https://doi.org/10.1016/j.trd.2022.103514
• Yap, J. B. H., & Goh, S. V. (2017). Determining the potential and requirements of transit-oriented development (TOD): The case of Malaysia. Property Management, 35(4), 394–413. https://doi.org/10.1108/PM-06-2016-0030
• Yin, J., Jing, Y., Yu, D., Ye, M., Yang, Y., & Liao, B. (2019). A vulnerability assessment of urban emergency in schools of Shanghai. Sustainability (Switzerland), 11(2). https://doi.org/10.3390/su11020349
• Zaheer, M., Muhammad, K., Khan, A., Muzzamil, M., Khattak, H., & Faisal, M. (2024). walking accessibility using an actual street network.
• Zamir, K., Nasri, A., Baghaei, B., Mahapatra, S., & Zhang, L. (2014). Effects of transit-oriented development on trip generation, distribution, and mode share in Washington, D. C., and Baltimore, Maryland. Transportation Research Record, 2413, 45–53. https://doi.org/10.3141/2413-05
• Zhang, H., & Yao, Y. (2019). An Integrative Vulnerability Evaluation Model to Urban Road. Wireless Personal Communications, 107(1), 193–204. https://doi.org/10.1007/s11277-019-06248-7
• Zhang, M., & Lee, J. (2023). Make TOD More Bicycling-Friendly: An Extended Node-Place Model Incorporating a Cycling Accessibility Index. Buildings, 13(5). https://doi.org/10.3390/buildings13051240
• Zhang, M., Liu, Z., & van Dijk, M. P. (2019). Measuring urban vulnerability to climate change using an integrated approach, assessing climate risks in Beijing. PeerJ, 7, e7018. https://doi.org/10.7717/peerj.7018
• Zhang, Y., & Guo, L. (2017). Study on coordinated relationship between urban rail transit and land-use. 1–5. https://doi.org/10.1109/liss.2016.7854339
• Zhang, Y., Marshall, S., & Manley, E. (2019). Network criticality and the node-place-design model : Classifying metro station areas in Greater London. Journal of Transport Geography, 79, 1–10. https://doi.org/10.1016/j.jtrangeo.2019.102485
• Zhao, Y., Hu, S., & Zhang, M. (2024). Evaluating equitable Transit-Oriented development (TOD) via the Node-Place-People model. Transportation Research Part A: Policy and Practice, 185(December 2023), 104116. https://doi.org/10.1016/j.tra.2024.104116
• Zhu, H., Peng, J., Dai, Q., & Yang, H. (2024). Exploring the long-term threshold effects of density and diversity on metro ridership. Transportation Research Part D: Transport and Environment, 128(December 2023), 104101. https://doi.org/10.1016/j.trd.2024.104101
• Zhu, Y., Tian, D., & Yan, F. (2020). Effectiveness of Entropy Weight Method in Decision-Making. 2020, 1–5. https://doi.org/10.1155/2020/3564835
• Zhu, Z., He, Y., Guo, X., Zhang, Y., & Chen, J. (2021). Improved Huff Model for Estimating Urban Rail Transit Station Catchment Areas considering Station Choices. Journal of Advanced Transportation, 2021. https://doi.org/10.1155/2021/6374724