Residents’ choices and preferences regarding transit-oriented housing

References

• ABS (Australian Bureau of Statistics). 2017. Household Expenditure Survey, Australia: Summary of Results, 2015-16. Canberra: Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/[email protected]/Latestproducts/6530.0Main%20Features92015-16?opendocument&tabname=Summary&prodno=6530.0&issue=2015-16&num=&view.
   Google Scholar
• Australian Government. 2018. Housing Policy. Treasury. Canberra: Australian Government.
   Google Scholar
• Barath, L., I. Ferto, and H. Hockmann. 2020. “Technological Differences, Theoretical Consistency, and Technical Efficiency: The Case of Hungarian Crop-producing Farms.” Sustainability 12 (3): 1147.
   Web of Science ®Google Scholar
• Batten, D. F., C. S. Bertuglia, D. Martellato, and S. Occelli. 2012. Learning, Innovation and Urban Evolution. Boston: Springer Science & Business Media.
   Google Scholar
• Beer, A., B. Kearins, and J. Pieters. 2007. “Housing Affordability and Planning in Australia: The Challenge of Policy Under Neo-liberalism.” Housing Studies 22 (1): 11–24.
   Web of Science ®Google Scholar
• Bhat, C. R., and J. Y. Guo. 2007. “A Comprehensive Analysis of Built Environment Characteristics on Household Residential Choice and Auto Ownership Levels.” Transportation Research Part B: Methodological 41 (5): 506–526. http://www.caee.utexas.edu/prof/bhat/REPORTS/Report_SWUTC167860_Bhat_Guo.pdf.
   Web of Science ®Google Scholar
• Breheny, M. 1997. “Urban Compaction: Feasible and Acceptable?” Cities 14 (4): 209–217.
   Web of Science ®Google Scholar
• Cervero, R. 2002. “Built Environments and Mode Choice: Toward a Normative Framework.” Transportation Research Part D: Transport and Environment 7 (4): 265–284. http://www.sciencedirect.com/science/article/pii/S1361920901000244.
   Web of Science ®Google Scholar
• Cervero, R. 2004. “Transit Oriented Development in America: Contemporary Practices, Impacts, and Policy Directions.” International Planning Symposium on Incentives, Regulations, and Plans – the Role of States and Nation-States in Smart Growth Planning, National Center for Smart Growth Research and Education, University of Maryland Habiforum Foundation.
   Google Scholar
• Cervero, R. 2006. “Alternative Approaches to Modeling the Travel-demand Impacts of Smart Growth.” Journal of the American Planning Association 72 (3): 285–295.
   Web of Science ®Google Scholar
• Clark, W. A. V., Y. Huang, and S. Withers. 2003. “Does Commuting Distance Matter? Commuting Tolerance and Residential Change.” Regional Science and Urban Economics 33 (2): 199–221.
   Web of Science ®Google Scholar
• de Dios Ortúzar, J., and L. G. Willumsen. 2002. Modelling Transport. 3rd ed. New York: Wiley.
   Google Scholar
• Dhar, R., and I. Simonson. 2003. “The Effect of Forced Choice on Choice.” Journal of Marketing Research 40 (2): 146–160.
   Web of Science ®Google Scholar
• Dittmar, H., D. Zelzer, and G. Autler. 2004. “An Introduction to Transit-oriented Development.” In The New Transit Town: Best Practices in Transit-oriented Development, edited by H. Dittmar and G. Ohland, 1–18. Washington, DC: Island Press.
   Google Scholar
• Dong, H. 2021. “Evaluating the Impacts of Transit-Oriented Developments (TODs) on Household Transportation Expenditures in California.” Journal of Transport Geography 90: 102946.
   Web of Science ®Google Scholar
• Fujita, M. 1989. Urban Economic Theory: Land use and City Size. Cambridge: Cambridge University Press.
   Google Scholar
• Giles-Corti, B., M. H. Broomhall, M. Knuiman, C. Collins, K. Douglas, K. Ng, A. Lange, and R. J. Donovan. 2005. “Increasing Walking: How Important is Distance to, Attractiveness, and Size of Public Open Space?” American Journal of Preventive Medicine 28 (2): 169–176.
   PubMed Web of Science ®Google Scholar
• Gordon, P., A. Kumar, and H. W. Richardson. 1989. “The Influence of Metropolitan Spatial Structure on Commuting Time.” Journal of Urban Economics 26 (2): 138–151. http://www.sciencedirect.com/science/article/B6WMG-4D9PK29-G6/2/4db0273708f5ed0f130ba627ce65eac8.
   Web of Science ®Google Scholar
• Government of South Australia. 2017. Building a Stronger South Australia: The Integrated Transport and Land use Plan. Adelaide: Department of Planning, Transport and Infrastructure.
   Google Scholar
• Greene, W. H., and D. A. Hensher. 2007. “Heteroscedastic Control for Random Coefficients and Error Components in Mixed Logit.” Transportation Research Part E 43 (5): 610–623.
   Google Scholar
• Gurran, N., V. Milligan, D. C. Baker, L. B. Bugg, and S. A. Christensen. 2008. New Directions in Planning for Affordable Housing: Australian and International Evidence and Implications. AHURI Final Report.
   Google Scholar
• Handy, S. L., M. G. Boarnet, R. Ewing, and R. E. Killingsworth. 2002. “How the Built Environment Affects Physical Activity: Views from Urban Planning.” American Journal of Preventive Medicine 23 (2): 64–73.
   PubMed Web of Science ®Google Scholar
• Hensher, D. A., and J. M. Rose. 2007. “Development of Commuter and non-Commuter Mode Choice Models for the Assessment of new Public Transport Infrastructure Projects: A Case Study.” Transportation Research Part A 41 (5): 428–443.
   Google Scholar
• Hensher, D. A., J. M. Rose, and W. H. Greene. 2005. Applied Choice Analysis: A Primer. Cambridge: Cambridge University Press.
   Google Scholar
• Hynes, S., and W. Greene. 2016. “Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach.” Journal of Agricultural Economics 67: 348–367.
   Web of Science ®Google Scholar
• Ibraeva, A., B. Van Wee, G. H. D. A. Correia, and A. Pais Antunes. 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: 103036.
   Web of Science ®Google Scholar
• Irwin, E. G. 2002. “The Effects of Open Space on Residential Property Values.” Land Economics 78 (4): 465–480.
   Web of Science ®Google Scholar
• Jarvis, H. 2003. “Dispelling the Myth That Preference Makes Practice in Residential Location and Transport Behaviour.” Housing Studies 18 (4): 587–606.
   Web of Science ®Google Scholar
• Leishman, C., and G. Bramley. 2005. “A Local Housing Market Model with Spatial Interaction and Land-use Planning Controls.” Environment and Planning A: Economy and Space 37: 1637–1649.
   Web of Science ®Google Scholar
• Lerman, S. R. 1976. “Location, Housing, Automobile Ownership, and Mode to Work: A Joint Choice Model.” Transportation Research Record 610: 6–11.
   Google Scholar
• Li, R. Y. M. 2015. “Generation X and Y’s Demand for Homeownership in Hong Kong.” Pacific Rim Property Research Journal 21 (1): 15–36.
   Web of Science ®Google Scholar
• Li, R. Y. M., and K. W. Chau. 2016. Econometric Analyses of International Housing Markets. London: Routledge.
   Google Scholar
• Liu, D., M.-P. Kwan, Z. Kan, and Y. Song. 2021. “An Integrated Analysis of Housing and Transit Affordability in the Chicago Metropolitan Area.” The Geographical Journal 187 (2): 110–126.
   PubMed Web of Science ®Google Scholar
• Lund, H. 2006. “Reasons for Living in a Transit-oriented Development, and Associated Transit Use.” Journal of the American Planning Association 72: 357–366.
   Web of Science ®Google Scholar
• Makarewicz, C., P. Dantzler, and A. Adkins. 2020. “Another Look at Location Affordability: Understanding the Detailed Effects of Income and Urban Form on Housing and Transportation Expenditures.” Housing Policy Debate 30: 1033–1055.
   Web of Science ®Google Scholar
• Mattingly, K., and J. Morrissey. 2014. “Housing and Transport Expenditure: Socio-Spatial Indicators of Affordability in Auckland.” Cities 38: 69–83.
   Web of Science ®Google Scholar
• McFadden, D., and K. E. Train. 2000. “Mixed MNL Models for Discrete Response.” Journal of Applied Econometrics 15 (5): 447–470.
   Web of Science ®Google Scholar
• McKibbin, M. 2011. “The Influence of the Built Environment on Mode Choice – Evidence from the Journey to Work in Sydney.” Papers of the 34th Australasian Transport Research Forum, Adelaide, South Australia. http://patrec.org/atrf.aspx.
   Google Scholar
• Mees, P. 2009. “How Dense are we? Another Look at Urban Density and Transport Patterns.” Road and Transport Research 18 (4): 58–67.
   Web of Science ®Google Scholar
• Newman, P., and J. R. Kenworthy. 2005. “Urban Design to Reduce Automobile Dependence.” Opolis 2 (1): 35–52. http://escholarship.org/uc/item/2b76f089.
   Google Scholar
• Onaka, J. L. 1983. “A Multiple-attribute Housing Disequilibrium Model of Residential Mobility.” Environment and Planning A: Economy and Space 15: 751–765.
   Google Scholar
• Philp, M. L., and M. A. P. Taylor. 2017. “Research Agenda for Low-carbon Mobility: Issues for New World Cities.” International Journal of Sustainable Transportation 11 (1): 49–58.
   Web of Science ®Google Scholar
• Realestate. 2019. Explore Australian Suburbs, January 27. https://www.realestate.com.au/neighbourhoods/salisbury-5108-sa.
   Google Scholar
• Richardson, A. J., E. S. Ampt, and A. H. Meyburg. 1995. Survey Methods for Transport Planning. Melbourne: Eucalyptus Press.
   Google Scholar
• Rose, J. M., M. C. J. Bliemer, D. A. Hensher, and A. T. Collins. 2008. “Designing Efficient Stated Choice Experiments in the Presence of Reference Alternatives.” Transportation Research Part B: Methodological 42 (4): 395–406.
   Web of Science ®Google Scholar
• Sándor, Z., and M. Wedel. 2001. “Designing Conjoint Choice Experiments Using Managers’ Prior Beliefs.” Journal of Marketing Research 38 (4): 430–444.
   Web of Science ®Google Scholar
• Smith, J. J., and T. A. Gihring. 2006. “Financing Transit Systems Through Value Capture.” American Journal of Economics and Sociology 65 (3): 751–786.
   Web of Science ®Google Scholar
• Smith, V. K., C. Poulos, and H. Kim. 2002. “Treating Open Space as an Urban Amenity.” Resource and Energy Economics 24 (1-2): 107–129.
   Web of Science ®Google Scholar
• Song, Y., Y. Zenou, and C. Ding. 2008. “Let's Not Throw the Baby Out with the Bath Water: The Role of Urban Villages in Housing Rural Migrants in China.” Urban Studies 45 (2): 313–330.
   Web of Science ®Google Scholar
• Stead, D. 2000. “Unsustainable Settlements.” In Sustainable Communities: The Potential for Eco-neighbourhoods, edited by H. Barton, 29–46. London: Earthscan.
   Google Scholar
• Su, S., J. Zhang, S. He, H. Zhang, L. Hu, and M. Kang. 2021. “Unraveling the Impact of TOD on Housing Rental Prices and Implications on Spatial Planning: A Comparative Analysis of Five Chinese Megacities.” Habitat International 107: 102309.
   Web of Science ®Google Scholar
• Sung, H., and J.-T. Oh. 2011. “Transit-oriented Development in a High-density City: Identifying Its Association with Transit Ridership in Seoul, Korea.” Cities 28 (1): 70–82. http://www.sciencedirect.com/science/article/pii/S0264275110001332.
   Web of Science ®Google Scholar
• Train, K. E. 1998. “Recreation Demand Models with Taste Differences Over People.” Land Economics 74 (2): 230–239.
   Web of Science ®Google Scholar
• Train, K. E. 2003. Discrete Choice Methods with Simulation. Cambridge: Cambridge University Press.
   Google Scholar
• TRB (Transportation Research Board). 2004. Transit-oriented Development in the United States: Experiences, Challenges, and Prospects. Washington, DC: Transportation Research Board.
   Google Scholar
• Willing, R., and D. Pojani. 2017. “Is the Suburban Dream Still Alive in Australia? Evidence from Brisbane’.” Australian Planner 54 (2): 67–79.
   Web of Science ®Google Scholar