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Household Activity Spaces and Neighborhood Typologies: A spatial and temporal comparative analysis of the effects of clustered land use indicators on the travel behaviour of households in three Quebec cities


Household Activity Spaces and Neighborhood Typologies: A spatial and temporal comparative analysis of the effects of clustered land use indicators on the travel behaviour of households in three Quebec cities

Harding, Christopher (2013) Household Activity Spaces and Neighborhood Typologies: A spatial and temporal comparative analysis of the effects of clustered land use indicators on the travel behaviour of households in three Quebec cities. Masters thesis, Concordia University.

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As the number of urban dwellers worldwide increases and as governments struggle to meet the pressure a concurrent rise in personal travel places on cities, the importance in understanding travel demand becomes vital. Traditional approaches to understanding the interaction between built form and travel have focused on individual indicators such as population density or land use mix, while measuring outputs such as vehicle kilometers travelled or mode share. Activity spaces, in contrast, are a relatively new and underexplored measure of travel demand which looks at the distribution of trips throughout space. These activity spaces are the focus of the following manuscript.
A variety of land use and accessibility measures are described and calculated, the goal being to discern their effect on activity spaces in the Montreal, Sherbrooke and Quebec metropolitan regions. Clustering is used to find representative combinations of urban form indicator values, or neighborhoods, after which statistical analysis is employed to quantify the relationships between these clusters and the travel patterns of the households living in them. The primary data sources for mobility are origin-destination surveys conducted 5 years apart in each city; three such surveys were used for Montreal, two for Quebec and one for Sherbrooke.
Results indicate that neighborhood type has a significant effect on the dispersion of travel, even after controlling for household size and type, number of trips and other demographic characteristics. Another key finding is that average activity space size is correlated with overall city size. Finally, the geometry of trip distribution is related to propensity for using specific transportation modes.

Divisions:Concordia University > Faculty of Arts and Science > Geography, Planning and Environment
Item Type:Thesis (Masters)
Authors:Harding, Christopher
Institution:Concordia University
Degree Name:M. Sc.
Program:Geography, Urban & Environmental Studies
Date:13 July 2013
Thesis Supervisor(s):Patterson, Zachary
Keywords:Activity space, neighborhood type, simultaneous equation model, self-selection, modal propensity, urban form
ID Code:977440
Deposited On:26 Nov 2013 17:20
Last Modified:18 Jan 2018 17:44


Adams, J. (2001). Hypermobility: Too Much of a Good Thing. Royal Society for the Arts Lecture.
Aéroport de Québec. (2011). Tourisme, Ville de Québec. Retrieved December 12, 2011, from www.aeroportdequebec.com: http://www.aeroportdequebec.com/tourisme/ville-de-quebec/
Agence Métropolitaine de Transport. (1998). Enquête origine-destination. Montreal, Quebec.
Agence Métropolitaine de Transport. (2003 and 2008). Enquête origine-destination 2003 et 2008. Montreal, Quebec: AMT.
Al-Shammari, M. S. (2007). Growth/Decline of Employment Subcenters in Polycentric Regions: the case of Dallas-Fort Worth metropolitan area. PhD Dissertation, The University of Texas at Arlington, Urban & Public Affairs.
Anas, A., Arnott, R., & Small, K. (1998). Urban Spatial Structure. Journal of Economic Literature, 36(3), 1426-1464.
Axhausen, K. (2007, March). Activity spaces, biographies, social networks and their welfare gains and externalities: Some hypotheses and empirical results. Mobilities, 2(1), 15-36.
Badoe, D., & Miller, E. (2000). Transportation-land-use interaction: empirical findings in North America, and their implications for modeling. Transportation Research Part D, 235-263.
Bagley, M., Mokhtarian, P., & Kitamura, R. (2002). A methodology for the disaggregate, multidimensional measurement of residential neighborhood type. Urban Studies, 39(4), 689-704.
Bento, A. M., Cropper, M. L., Mobarak, A. M., & Vinha, K. (2005, August). The Effects of Urban Spatial Structure on Travel Demand in the United States. The Review of Economics and Statistics, 87(3), 466-478.
Black, W. (2001). An unpopular essay on transportation. Journal of Transportation Geography, 9, 1-11.
Black, W. (2001). An unpopular essay on transportation. Journal of Transport Geography, 9, 1-11.
Boarnet, M. G., & Sarmiento, S. (1998). Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics. Urban Studies, 35(7), 1155-1169.
Botte, M., & Olaru, D. (2010). Does TOD influence the activity spaces? World Conference on Transport Research (12th), (pp. 1-20). Lisbon, Portugal.
Buliung, R. N., & Kanaroglou, P. S. (2006). A GIS toolkit for exploring geographies of household activity/travel behaviour. Journal of Transportation Geography, 14, 35-51.
Calthorpe, P. (1993). The Next American Metropolis. New York: Princeton Architectural Press.
Cao, X., & Fan, Y. (2012). Exploring the influences of density on travel behavior using propensity score matching. Environment and Planing B: Plannign and Design, 39, 459-470.
Cerda, A. (2009). Accessibility: a performance measurefor land-use and transportation planning in the Montreal Metropolitan Region. Masters Thesis, McGill University, School of Urban Planning.
City of Montreal. (2005). Heritage Policy. City of Montreal.
Clairoux, B. (2003). Le Métro de Montréal, 35 ans déjà. Editions Hurtubise HMH Ltee.
Coffey, W., & Shearmur, R. (2001). The identification of employment centres in Canadian metropolitan areas: the example of Montreal, 1996. The Canadian Geographer, 45(3), 371-386.
Congdon, P. (2003). Applied Bayesian Statistical Models. New York: Wiley.
Crane, R. (2000). The Influence of Urban Form on Travel: An Interpretive Review. Journal of Planning Literature, 15(1), 3-21.
Currie, G., Richardson, T., Smyth, P., Vella-Brodrick, D., Hine, J., Lucas, K., et al. (2010). Investigating links between transport disadvantage, social exclusion and well-being in Melbourne - Updated results. Research in Transportation Economics, 29, 287-295.
Currie, G., Sarvi, M., & Young, B. (2007). A new approach to evaluating on-road public transportation priority projects: balancing the demand for limited road-space. Transportation, 34, 413-428.
Deb, P., & Seck, P. (2009). Internal Migration, Selection bias and Human Development: Evidence from Indonesia and Mexico. Munich, Germany: University Library of Munich.
Derrible, S., & Kennedy, C. (2010). Characterizing metro networks: state, form, and structure. Transportation, 37, 275-297.
Dijst, M. (1999). Two-earner families and their action spaces: A case study of two dutch communities. GeoJournal, 48, 195-206.
Dimitriadou, E., Dolnicar, S., & Weingessel, A. (2002). An examination of indexes for determining the number of clusters in binary data sets. Psychometrika, 67(3), 137-160.
Dunphy, R. (2004). Chapter 1: Who, What, Where, Why. In R. Dunphy, R. Cervero, F. Dock, M. McAvey, & D. Porter, Developing Around Transit: Strategies and Solutions that Work (pp. 3-28). Washington D.C.: Urban Land Institute.
Eluru, N., Bhat, C. R., Pendyala, R. M., & Konduri, K. C. (2010). A joint flexible econometric model system of household residential location and vehicle fleet composition/usage choices. Transportation, 37, 603-626.
Environment Canada. (2007). National Inventory Report 1990–2005: Greenhouse Gas Sources and Sinks in Canada. Submission to the United Nations Framework Convention on Climate Change, Environment Canada, Greenhouse Gas Division.
Ewing, R., & Cervero, R. (2001). Travel and the Built Environment. Transportation Research Record, 1780, 87-114.
Ewing, R., & Cervero, R. (2010). Travel and the Built Environment. Journal of the American Planning Association, 76(3), 265-285.
Ewing, R., Nelson, A. C., Bartholomew, K., Emmi, P., & Appleyard, B. (2011). Response to Special Report 298 Driving and the built environment: the effects of compact development on motorized travel, energy use, and CO2 emissions. Journal of Urbanism, 4(1), 1-5.
Fan, Y., & Khattak, A. J. (2008). Urban Form, Individual Spatial Footprints, and Travel. Transportation Research Record(2082), 98-106.
Filion, P., Bunting, T., & Warriner, K. (1999). The Entrenchment of Urban Dispersion: Residential Preferences and Location Patterns in the Dispersed City. Urban Studies, 36(8), 1317-1347.
Florida, R. (2008). Who's Your City. Random House Canada.
Frank, L., & Pivo, G. (1994). Impacts of Mixed Use and Density on Utilisation of Three Modes of Travel: Single-Occupant Vehicle, Transit and Walking. Transportation Research Record D, 44-52.
Freund, P., & Martin, G. (2007). Hyperautomobility, the Social Organization of Space, and Health. Mobilities, 37-49.
Frumkin, H. (2002). Urban Sprawl and Public Health. Public Health Reports, 117, 201-217.
Garling, T., & Axhausen, K. W. (2003). Introduction: Habitual travel choice. Transportation, 30, 1-11.
Gershoff, E. T., Pederson, S., & Aber, J. L. (2009). Creating Neighborhood Typologies of GIS-Based Data in the Absence of Neighborhood-Based Sampling: A Factor and Cluster Analytic Strategy. Journal of Prevention and Intervention in the Community, 37, 35-47.
Gomez-Ibanez, J. (1991). A Global View of Automobile Dependence. Journal of the American Planning Association, 57(3), 376-380.
Gordon, P., Lee, B., Moore II, J. E., & Richardson, H. W. (2005). Do Neighborhood Attributes Affect Commute Times. School of Policy, Planning, and Development. Los Angeles, California: University of Southern California.
Greene, R., & Wang, S. (2010). Identifying High Amenity Zones in the U.S. and China with Advanced GIS Techniques. 18, pp. 1-4. International Conference on Geoinformatics.
Greenwood, M., & Stock, R. (1990). Patterns of Change in the Intrametropolitan Location of Population, Jobs, and Housing: 1950 to 1980. Journal of Urban Econommics, 243-276.
Harding, C. (2011, December). Création d'un indicateur d'accessibilité aux centres d'emplois, pour les années 2001 et 2006, pour les régions métropolitaines de Montréal et de Québec. Retrieved July 29, 2012, from SIG : des Outils pour la Recherche (UdeM Géo 6342): https://sites.google.com/site/udemgeo6342/annee/2011/etudiants/harding-chris/projet-final
Harding, C., Patterson, Z., Miranda-Moreno, L. F., & Zahabi, S. A. (2012). Modeling the Effect of Land Use on Activity Spaces. Transportation Research Record, 2323, 67-74.
Harding, C., Patterson, Z., Miranda-Moreno, L., & Zahabi, A. (in press). A spatial and temporal analysis of the effects of land use clusters on activity spaces in three Quebec Cities. Environment and Planning: B, Special Issue on Activity Space Research from the 2012 IATBR- guest Editor: Harry Timmermans.
Kamruzzaman, M., & Hine, J. (2012). Analysis of rural activity spaces and transport disadvantage using a multi-method apporach. Transport Policy, 19, 105-120.
Kamruzzaman, M., Hine, J., Gunay, B., & Blair, N. (2009). Using GIS to visualize and evaluate student travel behaviour. Journal of Transport Behaviour, 19, 13-32.
Karathodorou, N., Graham, D., & Noland, R. (2010). Estimating the effect of urban density on fuel demand. Energy Economics, 32, 86-92.
Kelley-Swartz, A. C., Stoackard, J., Doyle, S., & Schlossberg, M. (2004). Is Sprawl Unhealthy? A Multilevel Analysis of the Relationship of Metropolitan Sprawl to the Health of Individuals. Journal of Planning and Education and Research, 184-196.
Kestens, Y., Lebel, A., Daniel, M., Thériault, M., & Pampalon, R. (2010). Using experienced acivity spaces to measure foodscape exposure. Health & Place, 16, 1094-1103.
Krizek, K. (2003). Operationalizing Neighborhood Accessibility for Land Use-Travel Behavior Research and Regional Modeling. Journal of Planning Education and Research, 22, 270-287.
LeBeau, J. L. (1987). The Methods and Measures of Centrography and the Spatial Dynamics of Rape. Journal of Quantitative Criminology, 3(2), 125-140.
Leck, E. (2006). The Impact of Urban Form on Travel Behaviour: A Meta-Analysis. Berkeley Planning Journal, 19, 37-57.
Lee-Gosselin, M., Miranda-Moreno, L. F., Thériault, M., & Kreider, T. (2009). Evolution of travel and daily activity patterns and ICTs: Some. Fourth Specialist Meeting of the Network ICTs: mobilizing persons, places and spaces (7-9 October). Île d'Orléans, Québec.
Les Conseillers ADEC inc. (2009). Évaluation des coûts de la congestion routière dans la région de Montréal pour les conditions de référence de 2003. Montreal: Ministère des Transports du Québec.
Levinson, D. M. (1998). Accessibility and the journey to work. Journal of Transportation Geography, 6(1), 11-21.
Levinson, D. M., & Krizek, K. (2008). Planning for Place and Plexus: Metropolitan Land Use and Transport. Routledge.
Lin, J., & Long, L. (2008, May 15). What neighborhood are you in? Empirical findings of relationships between household travel and neighborhood characteristics. Transportation, 35, 739-758.
Litman, T. (2005). Land Use Impacts on Transportation.
MacDonald, H. I. (1999). Women's employment and commuting: Explaining the links. Journal of Planning Literature, 13(3), 267-283.
Madden, J. F. (1981). Why women work closer to home. Urban Studies, 18, 191-194.
Manaugh, K., & El-Geneidy, A. (2012). What makes travel local? Defining and understanding local travel behaviour. Journal of Transportation and Land Use, 5(3), 15-27.
Manaugh, K., Miranda-Moreno, L., & El-Geneidy, A. (2010). Neighborhood travel behaviour: A factor and cluster analysis to understand travel behavior in the Montréal metropolitan region. Transportation, 37(4), 627-646.
Marshall, J. D., McKone, T. E., Deakin, E., & Nazaroff, W. W. (2005). Inhalation of motor vehicle emissions: effects of urban population and land area. Atmospheric Environment, 39, 283-295.
McCray, T., & Brais, N. (2007). Exploring the role of transportation in fostering social exclusion: The use of GIS to support qualitative data. Networks and Spatial Economics, 7(4), 397-412.
Miller, E. J., & Ibrahim, A. (1998). Urban Form and Vehicular Travel: Some Empirical Findings. 1617, 18-27.
Milligan, G., & Cooper, M. (1985). An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50(2), 159-179.
Mindali, O., Raveh, A., & Salomon, I. (2004). Urban Density and Energy Consumption: a new look at old statistics. Transportation Research Part A, 143-162.
Miranda-Moreno, L. F., Bettex, L., Zahabi, S. A., Kreider, T., & Barla, P. (2011). Simultaneous Modeling of Endogenous Influence of Urban Form and Public Transit Accessibility on Distance Travelled. Transportation Research Record, 2255, 100-109.
Muth, R. F. (1985). Models of land-use, housing, and rent: an evaluation. Journal of Regional Science, 25(4), 593-606.
Naess, P. (2012). Urban form and travel behavior: Experience from a Nordic context. Journal of Transport and Land Use, 5(2), 21-45.
Neutens, T., Delafontaine, M., Scott, D. M., & De Maeyer, P. (2010, July). An analysis of day-to-day variations in individual space-time accessibility. Journal of Transport Geography, 23, 81-91.
Newman, M. C. (1993). Regression Analysis of Log-Transfomed Data: Statistical bias and its correction. Environmental Toxicology and Chemistry, 12, 1129-1133.
Newman, P., & Kenworthy, J. (1989). Cities and Automobile Dependence: A Sourcebook. Brookfield, Vermont, USA: Gower Technical.
Newman, P., & Kenworthy, J. (1989). Gasoline Consumption and Cities: a comparison of U.S. cities with a global survey. Journal of the American Planning Association, 55(1), 24-35.
Newman, P., & Kenworthy, J. (1999). Sustainability and Cities: Overcoming Automobile Dependence. Washington, DC: Island Press.
Newsome, T. H., Walcott, W. A., & Smith, P. D. (1998). Urban activity spaces: Illustrations and application of a conceptual model for integrating the time and space dimension. Transportation, 25, 357-377.
Openshaw, S. (1984). The modifiable areal unit problem (Concepts and Techniques in Modern Geography) (Vol. 38). Norwich: Geo books.
Parthasarathi, P., Hochmair, H., & Levinson, D. M. (2010, August 1). Network Structure and Activity Spaces. Retrieved July 30, 2012, from Social Science Research Network: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1736218
Pinjari, A. R., Pendyala, R. M., Bhat, C. R., & Waddell, P. A. (2011). Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions. Transportation, 933-958.
Porter, M. (2000). Location, Competition, and Economic Development: Local Clusters in a Global Economy. Economic Development Quarterly, 14, 15-34.
Pucher, J., & Buehler, R. (2012). City Cycling. MIT Press.
Pund, G. (2001). City Density and Public Transport. Australian Planner, 38(2), 74-79.
Putnam, R. (2000). Bowling Alone: the collapse and revival of American community. New York: Touchstone.
Rai, R. K., Balmer, M., Rieser, M., Vaze, V. S., Schonfelder, S., & Axhausen, K. W. (2007). Capturing New Activity Spaces, New Geometries. Transportation Research Record(2021), 70-80.
Riva, M., Apparicio, P., Gauvin, L., & Brodeur, J.-M. (2008, July 31). Establishing the soundness of administrative spatial units for operationalizing the active living potential of residential environments: an exemplar for designing optimal zones. International Journal of Health Geographics, 7:43, 1-13.
Rooney, M., Arku, R., Dionisio, K., Paciorek, C., Friedman, A., Carmichael, H., et al. (2012). Spatial and temporal patterns of particulate matter sources and pollution in four communities in Accra, Ghana. Science of the Total Enviironment, 107-114.
Ross, N. A., Tremblay, S., Khan, S., Crouse, D., Tremblay, M., & Berthelot, J.-M. (2007). Body Mass Index in Urban Canada: Neighborhood and Metropolitan Area Effects. American Journal of Public Health, 97.
Schonfelder, S., & Axhausen, K. (2003). Activity spaces: measures of social exclusion? Transport Policy, 10, 273-286.
Schönfelder, S., & Axhausen, K. (2003). Activity spaces: measures of social exclusion? Transport Policy, 10, 273-286.
Shay, E., & Khattak, A. (2007). Automobiles, Trips, and Neighborhood Type: Comparing Environmental Measures. Transportation Research Record, 73-82.
Shearmur, R. (2006). Travel From Home: An Economic Geography of Commuting Distances in Montreal. Urban Geography, 27(4), 330-359.
Shearmur, R., & Coffey, W. (2002). Urban Employment Subcenters and Sectoral Clustering in Montreal: complementary approaches to the study of urban form. Urban Geography, 23(2), 103-130.
Sherman, J. E., Spencer, J., Preisser, J. S., Gesler, W. M., & Arcury, T. A. (2005). A suite of methods for representing activity space in a healthcare accessibility study. Internation Journal of Health Geographics, 4-24.
Song, Y., & Knaap, G.-J. (2004). Internally Connected, No Commercial, With a Touch of Open Space: The Neighborhoods
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