Residential self-selection effects in an activity time-use behavior model

Transportation Research Part B: Methodological

Volumn 43, Issue 7, 2009, Pages 729-748

  Pinjari, Abdul Rawoof ^a   Bhat, Chandra R ^b   Hensher, David A ^c  

^a University of South Florida   (United States)

^b The University of Texas at Austin   (United States)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Integrated land use transportation modeling; Multiple Discrete Continuous Extreme Value model; Residential location choice; Residential self selection; Time use

Indexed keywords

ECONOMICS; HOUSING; LAND USE; LOCATION;

MULTIPLE DISCRETE CONTINUOUS EXTREME VALUE MODELS; RESIDENTIAL LOCATIONS; RESIDENTIAL SELF-SELECTION; TIME USE; TRANSPORTATION MODEL;

TRANSPORTATION;

DISCRETE CHOICE ANALYSIS; MODELING; RECREATIONAL ACTIVITY; RESIDENTIAL LOCATION; RESIDENTIAL SATISFACTION; TRAVEL BEHAVIOR;

ALAMEDA COUNTY; CALIFORNIA; NORTH AMERICA; SAN FRANCISCO BAY; UNITED STATES;

EID: 67349123057     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2009.02.002     Document Type: Article

References (85)

1. Abraham J.E., and Hunt J.D. Specification and estimation of nested logit model of home, workplaces, and commuter mode choices by multiple-worker households. Transportation Research Record 1606 (1997) 17-24
2. Anas A. The estimation of multinomial logit models of joint location and travel mode choice from aggregated data. Journal of Regional Science 21 2 (1981) 223-242
3. Anas A. Capitalization of urban travel improvements into residential and commercial real estate: simulations with a unified model of housing, travel mode and shopping choices. Journal of Regional Science 35 3 (1995) 351-375
4. Anas A., and Duann L.S. Dynamic forecasting of travel demand, residential location, and land development: policy simulations with the Chicago area transportation/land-use analysis system. Papers in Regional Science 56 1 (1985) 37-58
5. Axhausen K., and Gärling T. Activity-based approaches to travel analysis: conceptual frameworks, models and research problems. Transport Reviews 12 (1992) 324-341
6. Bagley M.N., and Mokhtarian P.L. The impact of residential neighborhood type on travel behavior: a structural equations modeling approach. Annals of Regional Science 36 2 (2002) 279-297
7. Ben-Akiva M., and Bowman J.L. Integration of an activity-based model system and a residential location model. Urban Studies 35 7 (1998) 1131-1153
8. Bhat C.R. Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences. Transportation Research Part B 37 9 (2003) 837-855
9. Bhat C.R. A Multiple Discrete-Continuous Extreme Value model: formulation and application to discretionary time-use decisions. Transportation Research Part B 39 8 (2005) 679-707
10. Bhat C.R. The Multiple Discrete-Continuous Extreme Value (MDCEV) model: role of utility function parameters, identification considerations, and model extensions. Transportation Research Part B 42 3 (2008) 274-303
11. Bhat C.R., and Gossen R. A mixed multinomial logit model analysis of weekend recreational episode type choice. Transportation Research Part B 38 9 (2004) 767-787
12. Bhat C.R., and Guo J.Y. A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels. Transportation Research Part B 41 5 (2007) 506-526
13. Bhat C.R., and Koppelman F.S. A retrospective and prospective survey of time-use research. Transportation 26 2 (1999) 119-139
14. Bhat C.R., and Misra R. Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends. Transportation 26 2 (1999) 193-229
15. Bhat C.R., Govindarajan A., and Pulugurta V. Disaggregate attraction-end choice modeling. Transportation Research Record 1645 (1998) 60-68
16. Bhat C.R., Srinivasan S., and Sen S. A joint model for the perfect and imperfect substitute goods case: application to activity time-use decisions. Transportation Research Part B 40 10 (2006) 827-850
17. Bhat C.R., Guo J.Y., Srinivasan S., and Sivakumar A. Comprehensive econometric microsimulator for daily activity-travel patterns. Transportation Research Record 1894 (2004) 57-66
18. Birch, E.L., 2005. Who Lives Downtown? Brookings Institution Metropolitan Policy Program.
19. Boarnet, M.G., 2004. The Built Environment and Physical Activity: Empirical Methods and Data Resources. University of California, Irvine. Prepared for the Committee on Physical Activity, Health, Transportation, and Land Use.
20. Boarnet M.G., and Sarmiento S. Can land-use policy really affect travel behavior? A study of the link between non-work travel and land-use characteristics. Urban Studies 35 7 (1998) 1155-1169
21. Cao, X., Mokhtarian, P.L., Handy, S.L., 2005. The impacts of the built environment and residential self-selection on nonwork travel: a seemingly unrelated regression approach. Paper 06-1595 on the Transportation Research Board 85th Annual Meeting CD-ROM, Washington, DC.
22. Cao, X., Mokhtarian, P.L., Handy, S.L., 2006a. Examining the impacts of residential self-selection on travel behavior: methodologies and empirical findings. Research Report UCD-ITS-RR-06-18, Institute of Transportation Studies, University of California, Davis.
23. Cao X., Handy S.L., and Mokhtarian P.L. The influences of the built environment and residential self-selection on pedestrian behavior: evidence from Austin TX. Transportation 33 1 (2006) 1-20
24. Cervero, R., Duncan, M., 2002. Residential self-selection and rail commuting: a nested logit analysis. Working Paper, University of California Transportation Center, Berkeley, CA. .
25. Cervero R., and Duncan M. Walking, bicycling, and urban landscapes: evidence from the San Francisco Bay area. American Journal of Public Health 93 9 (2003) 1478-1483
26. Chatman, D.G., 2005. How the built environment influences non-work travel: theoretical and empirical essays. Ph.D. Dissertation, Urban Planning, University of California, Los Angeles.
27. Chen C., and Mokhtarian P.L. Tradeoffs between time allocations to maintenance activities/travel and discretionary activities/travel. Transportation 33 3 (2006) 223-240
28. Copperman R., and Bhat C.R. An analysis of the determinants of children's weekend physical activity participation. Transportation 34 1 (2007) 67-87
29. Daly A. Estimating choice models containing attraction variables. Transportation Research Part B 16 1 (1982) 5-15
30. de Palma A., Motamedi K., Picard N., and Waddell P. A model of residential location choice with endogenous housing prices and traffic for the Paris region. European Transport 31 (2005) 67-82
31. Eliasson J., and Mattsson L. A Model for integrated analysis of household location and travel choices. Transport Research Part A 34 5 (2000) 375-394
32. Fotheringham A.S. Some theoretical aspects of destination choice and their relevance to production-constrained gravity models. Environment and Planning A 15 8 (1983) 1121-1132
33. Gliebe J.P., and Koppelman F.S. A model of joint activity participation between household members. Transportation 29 1 (2002) 40-72
34. Golob, T.F., McNally, M.G., 1995. A model of household interactions in activity participation and the derived demand for travel. Presented at the European Institute of Retailing and Service Studies (EIRASS), Conference on Activity-Based Approaches, Eindhoven, The Netherlands.
35. Gossen, R., Purvis, C.L., 2005. Changes in women's travel time expenditures, 1990-2000. Paper presented at the Transportation Research Board Conference on Research on Women's Issues in Transportation, Conference Proceedings No. 35. .
36. Goulias K.G. Multilevel analysis of daily time use and time allocation to activity types accounting for complex covariance structures using correlated random effects. Transportation 29 1 (2002) 31-48
37. Goulias K.G., and Henson K.M. On altruists and egoists in activity participation and travel: who are they and do they live together?. Transportation 33 5 (2006) 447-462
38. Greenwald M.J. The road less traveled: new urbanist inducements to travel mode substitution for nonwork trips. Journal of Planning Education and Research 23 1 (2003) 39-57
39. Greenwald M.J., and Boarnet M.G. Built environment as determinant of walking behavior - analyzing nonwork pedestrian travel in Portland, Oregon. Transportation Research Record 1780 (2001) 33-42
40. Guevara C.A., and Ben-Akiva M.E. Endogeneity in residential location choice models. Transportation Research Record 1977 (2006) 60-66
41. Guo J.Y., Bhat C.R., and Copperman R.B. Effect of the built environment on motorized and non-motorized trip making: substitutive, complementary, or synergistic?. Transportation Research Record 2010 (2007) 1-11
42. Hammond, D., 2005. Residential location and commute mode choice. Dissertation submitted in fulfillment of the MSC in Transport and Planning, University of Wales, Cardiff.
43. Handy S.L., and Clifton K.J. Local shopping as a strategy for reducing automobile travel. Transportation 28 4 (2001) 317-346
44. Handy S.L., Cao X., and Mokhtarian P.L. Correlation or causality between the built environment and travel behavior? Evidence from Northern California. Transportation Research Part D 10 6 (2005) 427-444
45. Harvey A.S., and Taylor M.E. Activity settings and travel behaviour: a social contact perspective. Transportation 27 1 (2000) 53-73
46. Jones, P.M., Koppelman, F.S., Orfeuil, J.P., 1990. Activity analysis: state of the art and future directions. In: Developments in Dynamic and Activity-Based Approaches to Travel Analysis, Gower, Aldershot, England, pp. 34-55.
47. Kapur A., and Bhat C.R. On modeling adults' daily time use by activity purpose and accompaniment arrangement. Transportation Research Record 2021 (2007) 18-27
48. Khattak A.J., and Rodriguez D. Travel behavior in neo-traditional neighborhood developments: a case study in USA. Transportation Research Part A 39 6 (2005) 481-500
49. Kitamura R., Mokhtarian P.L., and Laidet L. A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay area. Transportation 24 2 (1997) 125-158
50. Kraan, M., 1996. Time to travel? A model for the allocation of time and money. Unpublished Ph.D. Dissertation, Department of Civil Engineering, University of Twente, The Netherlands.
51. Krizek K.J. Pretest-posttest strategy for researching neighborhood-scale urban form and travel behavior. Transportation Research Record 1722 (2000) 48-55
52. Krizek K.J. Residential relocation and changes in urban travel - does neighborhood-scale urban form matter?. Journal of the American Planning Association 69 3 (2003) 265-281
53. Kurani, K.S., Kitamura, R., 1996. Recent developments and the prospects for modeling household activity schedules. Report prepared for the Los Alamos National Laboratory, Institute of Transportation Studies, University of California, Davis, CA.
54. Kurani, K.S., Lee-Gosselin, M.E.H., 1996. Synthesis of past activity analysis applications. Presented at the Travel Model Improvement Program (TMIP) Conference on Activity-Based Travel Forecasting, New Orleans.
55. Lee B.A., and Guest A.M. Determinants of neighborhood satisfaction: a metropolitan-level analysis. The Sociological Quarterly 24 2 (1983) 287-303
56. Lerman S.R. Location, housing, automobile ownership and mode to work: a joint choice model. Transportation Research Record 610 (1976) 6-11
57. Levinson D.M. Space, money, life-stage, and the allocation of time. Transportation 26 2 (1999) 141-171
58. Levinson D., and Yerra B. Self-organization of surface transportation networks. Transportation Science 40 2 (2006) 179-188
59. Lu, X., Pas, E.I., 1997. A structural equation model of the relationships among socio-demographics, activity participation and travel behavior. Presented at the 76th Annual Meeting of the Transportation Research Board, Washington, DC.
60. Lu X., and Pas E.I. Socio-demographics, activity participation and travel behavior. Transportation Research Part A 33 1 (1999) 1-18
61. Marans, R.W., 1979. The determinants of neighborhood quality. Annual Housing Survey Studies, No. 3, Office of Policy Development and Research, Department of Housing and Urban Development, Washington, DC.
62. Meloni I., Guala L., and Loddo A. Time allocation to discretionary in-home, out-of-home activities and to trips. Transportation 31 1 (2004) 69-96
63. Meloni I., Spissu E., and Bez M. A model of the dynamic process of time allocation to discretionary activities. Transportation Science 41 1 (2007) 15-28
64. MORPACE International Inc., 2002. Bay area travel survey final report, March 2002. .
65. Pas, E.I., 1996. Time and travel demand analysis and forecasting: theory, data collection and modeling. Presented at the Conference on Theoretical Foundations of Travel Choice Modeling, Stockholm, Sweden.
66. Pas E.I., and Harvey A.S. Time use research and travel demand analysis and modeling. In: Stopher P., and Lee-Gosselin M. (Eds). Understanding Travel Behavior in an Era of Change (1997), Elsevier Science Ltd., Oxford 315-338
67. Pinjari A.R., Pendyala R.M., Bhat C.R., and Waddell P.A. Modeling residential sorting effects to understand the impact of the built environment on commute mode choice. Transportation 34 5 (2007) 557-573
68. Salon, D., 2006. Cars and the City: an investigation of transportation and residential location choices in New York City. Dissertation, Department of Agricultural and Resource Economics, University of California, Davis.
69. Schwanen, T., Mokhtarian, P.L., 2003. Does dissonance between desired and current neighborhood type affect individual travel behaviour? An empirical assessment from the San Francisco Bay Area. In: Proceedings of the European Transport Conference (ETC), October 8-10, 2003, Strasbourg, France.
70. Schwanen T., and Mokhtarian P.L. What if you live in the wrong neighborhood? The impact of residential neighborhood type dissonance on distance traveled. Transportation Research Part D 10 2 (2005) 127-151
71. Schwanen T., and Mokhtarian P.L. What affects commute mode choice. Neighborhood physical structure or preferences toward neighborhoods?. Journal of Transport Geography 13 1 (2005) 83-99
72. Sener I.N., and Bhat C.R. An analysis of the social context of children's weekend discretionary activity participation. Transportation 34 6 (2007) 697-721
73. Srinivasan, S., 2004. Modeling household interactions in daily activity generation. Ph.D. Dissertation, Department of Civil, Environmental and Architectural Engineering, The University of Texas at Austin.
74. Snellen D., Borgers A., and Timmermans H. Urban form, road network type, and mode choice for frequently conducted activities: a multilevel analysis using quasi-experimental design data. Environment and Planning A 34 7 (2002) 1207-1220
75. Terza J.V., Basu A., and Rathouz P.J. Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling. Journal of Health Economics 27 3 (2008) 531-543
76. TRB-IOM (Transportation Research Board and Institute of Medicine), 2005. Does the built environment influence physical activity? Special Report 282.
77. Vovsha P., and Bradley M. Advanced activity-based models in a context of planning decisions. Transportation Research Record 1981 (2005) 34-41
78. Waddell P. Exogenous workplace choice in residential location models: is the assumption valid in a multinodal metropolis?. Geographical Analysis 25 1 (1993) 65-82
79. Waddell P. A multinomial logit model of race and urban structure. Urban Geography 13 2 (1993) 127-141
80. Waddell P. Towards a behavioral integration of land use and transportation modeling. In: Hensher D. (Ed). Travel Behavior Research: The Leading Edge (2001), Pergamon, New York 65-95
81. Waddell, P., forthcoming. Accessibility and residential location: the interaction of workplace, housing tenure, residential mobility and location choices. In: Preston, J., Pagliara, F., Simmonds, D. (Eds.), Modelling Residential Location Choice, Ashgate.
82. Waddell P., and Nourzad F. Incorporating non-motorized mode and neighborhood accessibility in an integrated land use and transportation model system. Transportation Research Record 1805 (2002) 119-127
83. Yamamoto T., and Kitamura R. An analysis of time allocation to in-home and out-of-home discretionary activities across working days and non-working days. Transportation 29 2 (1999) 231-250
84. Ye X., and Pendyala R.M. A model of daily time use allocation using fractional logit methodology. In: Mahmassani H.S. (Ed). Transportation and Traffic Theory: Flow, Dynamics, and Human Interaction (2005), Pergamon, Elsevier Science Ltd., Oxford, UK 507-524
85. Zhang M. Travel choice with no alternative: can land use reduce automobile dependence?. Journal of Planning Education and Research 25 3 (2006) 311-326