The effects of neighbourhood type and self-selection on driving: A case study of Northern California

Handbook on Transport and Development

Volumn , Issue , 2015, Pages 149-165

  Cao, Xinyu Jason ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84958234109     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4337/9780857937261.00016     Document Type: Chapter

References (40)

1. Bhat, C.R. and Guo, J.Y. (2007), A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels, Transportation Research Part B: Methodological, 41(5), 506-26.
2. Boarnet, M. and Crane, R. (2001), Travel by Design: The Influence of Urban Form on Travel, Spatial Information Systems, New York: Oxford University Press.
3. Boarnet, M.G. and 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), 1155-69.
4. Boer, R., Zheng, Y., Overton, A., Ridgeway, G.K. and Cohen, D.A. (2007), Neighbourhood design and walking trips in ten US metropolitan areas, American Journal of Preventive Medicine, 32(4), 298-304.
5. Bohte, W., Maat, K. and van Wee, B. (2009), Measuring attitudes in research on residential self-selection and travel behaviour: a review of theories and empirical research, Transport Reviews, 29(3), 325-57.
6. Brownstone, D. and Golob, T.F. (2009), The impact of residential density on vehicle usage and energy consumption, Journal of Urban Economics, 65(1), 91-8.
7. Cao, X. (2009), Disentangling the influence of neighbourhood type and self-selection on driving behaviour: an application of sample selection model, Transportation, 36(2), 207-22.
8. Cao, X. (2010), Exploring causal effects of neighbourhood type on walking behaviour using stratification on the propensity score, Environment and Planning A, 42(2), 487-504.
9. Cao, X. and Chatman, D.G. (forthcoming), How will Smart Growth land use policies affect travel? A theoretical discussion on the importance of residential sorting. Environment and Planning B.
10. Cao, X., Mokhtarian, P. and Handy, S. (2007), Do changes in neighbourhood characteristics lead to changes in travel behaviour? A structural equations modeling approach, Transportation, 34(5), 535-56.
11. Cao, X., Mokhtarian, P. and Handy, S. (2009a), Examining the impacts of residential self-selection on travel behaviour: a focus on empirical findings, Transport Reviews, 29(3), 359-95.
12. Cao, X., Mokhtarian, P. and Handy, S. (2009b), The relationship between the built environment and nonwork travel: a case study of Northern California, Transportation Research Part A: Policy and Practice, 43(5), 548-59.
13. Cao, X., Xu, Z. and Fan, Y. (2010), Exploring the connections among residential location, self-selection, and driving: propensity score matching with multiple treatments, Transportation Research Part A: Policy and Practice, 44(10), 797-805.
14. Chatman, D.G. (2009), Residential choice, the built environment, and nonwork travel: evidence using new data and methods, Environment and Planning A, 41, 1072-89.
15. Chen, C., Gong, H. and Paaswell, R. (2008), Role of the built environment on mode choice decisions: additional evidence on the impact of density, Transportation, 35(3), 285-99.
16. Chen, C., Chen, J. and Timmermans, H. (2009), Historical deposition influence in residential location decisions: a distance-based GEV model for spatial correlation, Environment and Planning A, 41(11), 2760-77.
17. Crane, R. (2000), The influence of urban form on travel: an interpretive review, Journal of Planning Literature, 15(1), 3-23.
18. D’Agostino, R.B. (1998), Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group, Statistics in Medicine, 17(19), 2265-81.
19. Ewing, R. and Cervero, R. (2001), Travel and the built environment: a synthesis, Transportation Research Record: Journal of the Transportation Research Board, 1780, 87-114.
20. Ewing, R. and Cervero, R. (2010), Travel and the built environment -a meta-analysis, Journal of the American Planning Association, 76(3), 265-94.
21. Frank, L.D. and Engelke, P.O. (2001), The built environment and human activity patterns: exploring the impacts of urban form on public health, Journal of Planning Literature, 16(2), 202-18.
22. Frank, L.D., Saelens, B.E., Powell, K.E. and Chapman, J.E. (2007), Stepping towards causation: do built environments or neighbourhood and travel preferences explain physical activity, driving, and obesity? Social Science & Medicine, 65(9), 1898-914.
23. Guido, I. and Keisuke, H. (2004), The propensity score with continuous treatments, in A. Gelman and X.-L. Meng (eds), Applied Bayesian Modelling and Causal Inference from Missing Data Perspectives, Chichester: Wiley.
24. Handy, S.L. and Clifton, K.J. (2001), Local shopping as a strategy for reducing automobile travel, Transportation, 28(4), 317-46.
25. Heckman, J., Tobias, J.L. and Vytlacil, E. (2001), Four parameters of interest in the evaluation of social programs, Southern Economic Journal, 68(2), 210.
26. Joh, K., Boarnet, M., Nguyen, M., Fulton, W., Siembab, W. and Weaver, S. (2008), Accessibility, Travel behaviour, and new urbanism: case study of mixed-use centers and auto-oriented corridors in the South Bay region of Los Angeles, California, Transportation Research Record: Journal of the Transportation Research Board, 2082, 81-9.
27. Krizek, K.J. (2003), Residential relocation and changes in urban travel: does neighbourhood-scale urban form matter? Journal of the American Planning Association, 69(3), 265-81.
28. Litman, T.A. (2005), Land Use Impacts on Transport: How Land Use Factors Affect Travel Behaviour, Victoria, BC: Victoria Transport Institute.
29. Meurs, H. and Haaijer, R. (2001), Spatial structure and mobility, Transportation Research Part D-Transport and Environment, 6(6), 429-46.
30. Mokhtarian, P.L. and Cao, X. (2008), Examining the impacts of residential self-selection on travel behaviour: a focus on methodologies, Transportation Research Part B: Methodological, 42(3), 204-28.
31. Oakes, M.J. and Johnson, P.J. (2006), Propensity score matching for social epidemiology, in M.J. Oakes and J.S. Kaufman (eds), Methods in Epidemiology, New York: John Wiley & Sons, Inc.
32. Rosenbaum, P.R. and Rubin, D.B. (1983), The central role of the propensity score in observational studies for causal effects, Biometrika, 70(1), 41-55.
33. Rosenbaum, P.R. and Rubin, D.B (1984), Reducing bias in observational studies using subclassification on the propensity score, Journal of the American Statistical Association, 79(387), 516-24.
34. Scheiner, J. (2010), Social inequalities in travel behaviour: trip distances in the context of residential self-selection and lifestyles, Journal of Transport Geography, 18(6), 679-90.
35. Schutt, R.K. (2004), Investigating the Social World: The Process and Practice of Research, 4th edn, Thousand Oaks, CA: Pine Forge Press.
36. Singleton, R. and Straits, B.C. (2005), Approaches to Social Research, 4th edn, New York: Oxford University Press.
37. Sommer, B.B. and Sommer, R. (1997), A Practical Guide to Behavioral Research: Tools and Techniques, 4th edn, New York: Oxford University Press.
38. Vance, C. and Hedel, R. (2007), The impact of urban form on automobile travel: disentangling causation from correlation, Transportation, 34(5), 575-88.
39. Winship, C. and Morgan, S.L. (1999), The estimation of causal effects from observational data, Annual Review of Sociology, 25, 659-706.
40. Zhou, B. and Kockelman, K. (2008), Self-selection in home choice: use of treatment effects in evaluating relationship between built environment and travel behaviour, Transportation Research Record: Journal of the Transportation Research Board, 2077, 54-61.