A joint model of residential mobility and location choice decisions

References

• Andrew, M., & Meen, G. (2006). Population structure and location choice: A study of London and South East England. Papers in Regional Science, 85(3), 401–419. https://doi.org/10.1111/j.1435-5957.2006.00092.x
   Web of Science ®Google Scholar
• Auld, J., Rashidi, T., Javanmardi, M., & Mohammadian, A. (2011). Dynamic activity generation model using competing hazard formulation. Transportation Research Record: Journal of the Transportation Research Board, 2254, 28–35. https://doi.org/10.3141/2254-04
   Web of Science ®Google Scholar
• Beige, S., & Axhausen, K. W. (2008). Long-term and mid-term mobility decisions during the life course: Experiences with a retrospective survey. IATSS Research, 32(2), 16–33. https://doi.org/10.1016/S0386-1112(14)60206-5
   Google Scholar
• Bouzouina, L., Baraklianos, I., Bonnel, P., & Aissaoui, H. (2021). Renters vs owners: The impact of accessibility on residential location choice. Evidence from Lyon urban area, France (1999–2013). Transport Policy, 109, 72–84. https://doi.org/10.1016/j.tranpol.2021.05.022
   Web of Science ®Google Scholar
• Choudhury, C. F., & Ayaz, S. B. (2015). Why live far?—insights from modeling residential location choice in Bangladesh. Journal of Transport Geography, 48, 1–9. https://doi.org/10.1016/j.jtrangeo.2015.08.001
   Web of Science ®Google Scholar
• Clark, W. A. V. (2013). Life course events and residential change: Unpacking age effects on the probability of moving. Journal of Population Research, 30(4), 319–334. https://doi.org/10.1007/s12546-013-9116-y
   Google Scholar
• Clark, W. A. V., & Huang, Y. (2003). The life course and residential mobility in British housing markets. Environment and Planning A: Economy and Space, 35(2), 323–339. https://doi.org/10.1068/a3542
   Web of Science ®Google Scholar
• Elgar, H., Miller, E. J., & Habib, K. M. N. (2008). Office decisions to change location. Transportation Research Record: Journal of the Transportation Research Board, 2077(1), 175–181. https://doi.org/10.3141/2077-22
   Google Scholar
• Eluru, N., Sener, I. N., Bhat, C. R., Pendyala, R. M., & Axhausen, K. W. (2009). Understanding residential mobility: Joint model of the reason for residential relocation and stay duration. Transportation Research Record: Journal of the Transportation Research Board, 2133, 64–74. https://doi.org/10.3141/2133-07
   Web of Science ®Google Scholar
• Gehrke, S. R., Currans, K. M., & Clifton, K. J. (2019). Assessing the importance of housing, accessibility, and transportation characteristics on stated neighbourhood preference. International Journal of Urban Sciences, 23(1), 49–66. https://doi.org/10.1080/12265934.2018.1436983
   Web of Science ®Google Scholar
• Guo, J., Feng, T., & Timmermans, H. J. P. (2019). Time-varying dependencies among mobility decisions and key life course events: An application of dynamic Bayesian decision networks. Transportation Research Part A: Policy and Practice, 130, 82–92. https://doi.org/10.1016/j.tra.2019.09.008
   Web of Science ®Google Scholar
• Guo, J. Y., & Bhat, C. R. (2007). Operationalizing the concept of neighborhood: Application to residential location choice analysis. Journal of Transport Geography, 15(1), 31–45. https://doi.org/10.1016/j.jtrangeo.2005.11.001
   Web of Science ®Google Scholar
• Habib, K. M. N., Miller, E. J., & Elgar, I. (2006). Stress triggered household decision to change dwelling : A comprehensive and dynamic approach. 11th International conference on travel behaviour research, Kyoto, Japan (pp.16–20).
   Google Scholar
• Habib, M. A. (2009). Microsimulating residential mobility and location choice processes within an integrated land use and transportation modelling system. http://hdl.handle.net/1807/24308.
   Google Scholar
• Habib, M. A., & Miller, E. J. (2009). Reference-dependent residential location choice model within a relocation context. Transportation Research Record: Journal of the Transportation Research Board, 2133, 92–99. https://doi.org/10.3141/2133-10
   Web of Science ®Google Scholar
• Haque, B., Choudhury, C., & Hess, S. (2020). Understanding differences in residential location preferences between ownership and renting: A case study of London. Journal of Transport Geography, 88, 102866. https://doi.org/10.1016/j.jtrangeo.2020.102866
   Web of Science ®Google Scholar
• Hasan, S., Schneider, C. M., Ukkusuri, S. V., & González, M. C. (2013). Spatiotemporal patterns of urban human mobility. Journal of Statistical Physics, 151(1–2), 304–318. https://doi.org/10.1007/s10955-012-0645-0
   Web of Science ®Google Scholar
• Jansen, S. J. T. (2020). Urban, suburban or rural? Understanding preferences for the residential environment. Journal of Urbanism: International Research on Placemaking and Urban Sustainability, 13(2), 213–235. https://doi.org/10.1080/17549175.2020.1726797
   Google Scholar
• Jiang, W., Feng, T., Timmermans, H., & Li, H. (2019). Intention to move in renovated historical blocks in China. Journal of Housing and the Built Environment, 34(1), 73–90. https://doi.org/10.1007/s10901-018-9608-3
   Web of Science ®Google Scholar
• Jin, J., & Lee, H. Y. (2018). Understanding residential location choices: An application of the UrbanSim residential location model on Suwon, Korea. International Journal of Urban Sciences, 22(2), 216–235. https://doi.org/10.1080/12265934.2017.1336469
   Web of Science ®Google Scholar
• Keivani, R. (2009). A review of the main challenges to urban sustainability. International Journal of Urban Sustainable Development, 1(1–2), 5–16. https://doi.org/10.1080/19463131003704213
   Google Scholar
• Kim, H., Woosnam, K. M., Marcouiller, D. W., Aleshinloye, K. D., & Choi, Y. (2015). Residential mobility, urban preference, and human settlement: A South Korean case study. Habitat International, 49, 497–507. https://doi.org/10.1016/j.habitatint.2015.07.003
   Web of Science ®Google Scholar
• Kim, J. H., Pagliara, F., Preston, J., Kim, J. H., Pagliara, F., & Preston, J. (2005). The intention to move and residential location choice behaviour. Urban Studies, 42(9), 1621–1636. https://doi.org/10.1080/00420980500185611
   Web of Science ®Google Scholar
• Lee, B. H. Y., & Waddell, P. (2010). Residential mobility and location choice: A nested logit model with sampling of alternatives. Transportation, 37, 587–601. https://doi.org/10.1007/s11116-010-9270-4
   Web of Science ®Google Scholar
• Lee, B. H. Y., Waddell, P., Wang, L., & Pendyala, R. M. (2010). Reexamining the influence of work and nonwork accessibility on residential location choices with a microanalytic framework. Environment and Planning A: Economy and Space, 42(4), 913–930. https://doi.org/10.1068/a4291
   Web of Science ®Google Scholar
• Lee, H. (2020). Are millennials coming to town? Residential location choice of young adults. Urban Affairs Review, 56(2), 565–604. https://doi.org/10.1177/1078087418787668
   Web of Science ®Google Scholar
• Li, S. (2004). Life course and residential mobility in Beijing, China. Environment and Planning A: Economy and Space, 36, 27–43. https://doi.org/10.1068/a35243
   Web of Science ®Google Scholar
• Michielin, F., & Mulder, C. H. (2008). Family events and the residential mobility of couples. Environment and Planning A: Economy and Space, 40(11), 2770–2790. https://doi.org/10.1068/a39374
   Web of Science ®Google Scholar
• Moekel, R., Spiekermann, K., Schurmann, C., & Wegener, M. (2003). Microsimulation of land use. International Journal of Urban Sciences, 7(1), 14–31. https://doi.org/10.1080/12265934.2003.9693520
   Google Scholar
• Mohammadian, A., & Rashidi, T. H. (2007). Modeling household vehicle transaction behavior: Competing risk duration approach. Transportation Research Record: Journal of the Transportation Research Board, 2014(1), 9–16. https://doi.org/10.3141/2014-02
   Google Scholar
• Orvin, M. M., & Fatmi, M. R. (2022). Modeling residential mobility decisions from a life history-oriented perspective. Transportation Letters, 14(10), 1100–1109. https://doi.org/10.1080/19427867.2021.1995585
   Web of Science ®Google Scholar
• Orvin, M. M., & Fatmi, M. R. (2023). A residential location search model based on the reasons for moving out. Transportation Letters, 2222990, 1–15. https://doi.org/10.1080/19427867.2023.2222990
   Google Scholar
• Pagliara, F., Preston, J., & Kim, J. H. (2006). Trade-offs between transportation, house price and amenities in residential location choice in oxfordshire, UK. International Journal of Urban Sciences, 10(1), 1–18. https://doi.org/10.1080/12265934.2006.9693583
   Google Scholar
• 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, 38(6), 933–958. https://doi.org/10.1007/s11116-011-9360-y
   Web of Science ®Google Scholar
• Rashidi, T., Auld, J., & Mohammadian, A. (2012). A behavioral housing search model: Two-stage hazard-based and multinomial logit approach to choice-set formation and location selection. Transportation Research Part A: Policy and Practice, 46(7), 1097–1107. https://doi.org/10.1016/j.tra.2012.01.007
   Web of Science ®Google Scholar
• Rashidi, T., & Mohammadian, A. (2015). Behavioral housing search choice set formation: A spatial hazard-based screening model. International Regional Science Review, 38(2), 151–170. https://doi.org/10.1177/0160017612461356
   Web of Science ®Google Scholar
• Saghapour, T., & Moridpour, S. (2019). The role of neighbourhoods accessibility in residential mobility. Cities, 87, 1–9. https://doi.org/10.1016/j.cities.2018.12.022
   Web of Science ®Google Scholar
• Sener, I. N., Pendyala, R. M., & Bhat, C. R. (2010). Accommodating spatial correlation across choice alternatives in discrete choice models: An application to modeling residential location choice behavior. Journal of Transport Geography, 18(5), 624–633. https://doi.org/10.1016/j.jtrangeo.2010.03.013
   Google Scholar
• Smith, B., & Olaru, D. (2013). Lifecycle stages and residential location choice in the presence of latent preference heterogeneity. Environment and Planning A: Economy and Space, 45(10), 2495–2514. https://doi.org/10.1068/a45490
   Web of Science ®Google Scholar
• Steele, F., Washbrook, E., Charlton, C., & Browne, W. J. (2016). A longitudinal mixed logit model for estimation of push and pull effects in residential location choice. Journal of the American Statistical Association, 111(515), 1061–1074. https://doi.org/10.1080/01621459.2016.1180984
   Web of Science ®Google Scholar
• Tran, M. T., Zhang, J., Chikaraishi, M., & Fujiwara, A. (2016). A joint analysis of residential location, work location and commuting mode choices in Hanoi, Vietnam. Journal of Transport Geography, 54, 181–193. https://doi.org/10.1016/j.jtrangeo.2016.06.003
   Web of Science ®Google Scholar
• Walker, J. L., & Li, J. (2007). Latent lifestyle preferences and household location decisions. Journal of Geographical Systems, 9(1), 77–101. https://doi.org/10.1007/s10109-006-0030-0
   Web of Science ®Google Scholar
• Woo, M., & Morrow-Jones, H. A. (2011). Main factors associated with homeowners’ intentions to move. International Journal of Urban Sciences, 15(3), 161–186. https://doi.org/10.1080/12265934.2011.635880
   Google Scholar
• Yi, C., & Lee, S. (2014). An empirical analysis of the characteristics of residential location choice in the rapidly changing Korean housing market. Cities, 39, 156–163. https://doi.org/10.1016/j.cities.2014.03.002
   Web of Science ®Google Scholar
• Yu, B., Zhang, J., & Li, X. (2017). Dynamic life course analysis on residential location choice. Transportation Research Part A: Policy and Practice, 104, 281–292. https://doi.org/10.1016/j.tra.2017.01.009
   Web of Science ®Google Scholar
• Zhou, B., & Kockelman, K. M. (2008). Microsimulation of residential land development and household location choices: Bidding for land in Austin, Texas. Transportation Research Record: Journal of the Transportation Research Board, 2077(1), 106–112. https://doi.org/10.3141/2077-14
   Web of Science ®Google Scholar
• Zolfaghari, A., Sivakumar, A., & Polak, J. (2013). Simplified probabilistic choice set formation models in a residential location choice context. Journal of Choice Modelling, 9(1), 3–13. https://doi.org/10.1016/j.jocm.2013.12.004
   Google Scholar