References
- Asparouhov, T., and B. Muthén. 2012. “General Random Effect Latent Variable Modeling: Random Subjects, Items, Contexts, and Parameters.” Technical Report. https://www.statmodel.com/download/NCME12.pdf
- Ben-Akiva, M., and T. J. Atherton. 1977. “Methodology for Short-range Travel Demand Predictions: Analysis of Carpooling Incentives.” Journal of Transport Economics and Policy 11(3): 224–261.
- Bhat, C. R. 2000. “A Multi-level Cross-classified Model for Discrete Response Variables.” Transportation Research Part B Methodological 34: 567–582. doi:https://doi.org/10.1016/S0191-2615(99)00038-7.
- 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: 506–526. doi:https://doi.org/10.1016/j.trb.2005.12.005.
- Cao, X., P. L. Mokhtarian, and S. L. Handy. 2007. “Cross-sectional and Quasi-panel Explorations of the Connection between the Built Environment and Auto Ownership.” Environment & Planning A 39: 830–847. doi:https://doi.org/10.1068/a37437.
- Cao, X. J., P. Næss, and F. Wolday. 2019. “Examining the Effects of the Built Environment on Auto Ownership in Two Norwegian Urban Regions.” Transportation Research Part D: Transport and Environment 67: 464–474. doi:https://doi.org/10.1016/j.trd.2018.12.020.
- Cervero, R. 2002. “Built Environments and Mode Choice: Toward a Normative Framework.” Transportation Research Part D: Transport and Environment 7: 265–284. doi:https://doi.org/10.1016/S1361-9209(01)00024-4.
- Ding, C., and X. Cao. 2019. “How Does the Built Environment at Residential and Work Locations Affect Car Ownership? An Application of Cross-classified Multilevel Model.” Journal of Transport Geography 75: 37–45. doi:https://doi.org/10.1016/j.jtrangeo.2019.01.012.
- Ding, C., D. Wang, C. Liu, Y. Zhang, and J. Yang. 2017. “Exploring the Influence of Built Environment on Travel Mode Choice considering the Mediating Effects of Car Ownership and Travel Distance.” Transportation Research Part A: Policy and Practice 100: 65–80.
- Ding, C., Y. Wang, T. Tang, S. Mishra, and C. Liu. 2018. “Joint Analysis of the Spatial Impacts of Built Environment on Car Ownership and Travel Mode Choice.” Transportation Research Part D: Transport and Environment 60: 28–40. doi:https://doi.org/10.1016/j.trd.2016.08.004.
- Hedeker, D. 2003. “A Mixed‐effects Multinomial Logistic Regression Model.” Statistics in Medicine 22 (9): 1433–1446. doi:https://doi.org/10.1002/sim.1522.
- Hong, J., Q. Shen, and L. Zhang. 2014. “How Do Built-environment Factors Affect Travel Behavior? A Spatial Analysis at Different Geographic Scales.” Transportation 41: 419–440. doi:https://doi.org/10.1007/s11116-013-9462-9.
- Huang, X., X. J. Cao, J. Yin, and X. Cao. 2017. “Effects of Metro Transit on the Ownership of Mobility Instruments in Xi’an, China.” Transportation Research Part D: Transport and Environment 52: 495–505. doi:https://doi.org/10.1016/j.trd.2016.09.014.
- Jiang, Y., P. Gu, Y. Chen, D. He, and Q. Mao. 2017. “Influence of Land Use and Street Characteristics on Car Ownership and Use: Evidence from Jinan, China.” Transportation Research Part D: Transport and Environment 52: 518–534. doi:https://doi.org/10.1016/j.trd.2016.08.030.
- Liu, S., E. Yao, and T. Yamamoto. 2018. “Does Urban Rail Transit Discourage People from Owning and Using Cars? Evidence from Beijing, China.” Journal of Advanced Transportation, 2018: 1835241. doi:https://doi.org/10.1155/2018/1835241.
- Luke, R. 2018. “Car Ownership Perceptions and Intentions Amongst South African Students.” Journal of Transport Geography 66: 135–143. doi:https://doi.org/10.1016/j.jtrangeo.2017.11.010.
- Maat, K., and H. J. P. Timmermans. 2009. “Influence of the Residential and Work Environment on Car Use in Dual-earner Households.” Transportation Research Part A:: Policy and Practice 43: 654–664.
- Nestler, S., and M. D. Back. 2017. “Using Cross-classified Structural Equation Models to Examine the Accuracy of Personality Judgments.” Psychometrika 82: 475–497. doi:https://doi.org/10.1007/s11336-015-9485-6.
- Oakil, A. T. M., D. Ettema, T. Arentze, and H. Timmermans. 2014. “Changing Household Car Ownership Level and Life Cycle Events: An Action in Anticipation or an Action on Occurrence.” Transportation 41: 889–904. doi:https://doi.org/10.1007/s11116-013-9507-0.
- Paleti, R., C. R. Bhat, and R. M. Pendyala. 2013. “Integrated Model of Residential Location, Work Location, Vehicle Ownership, and Commute Tour Characteristics.” Transportation Research Record 2382: 162–172. doi:https://doi.org/10.3141/2382-18.
- Pinjari, A. R., R. M. Pendyala, C. R. Bhat, and P. A. Waddell. 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. doi:https://doi.org/10.1007/s11116-011-9360-y.
- Shen, Q., P. Chen, and H. Pan. 2016. “Factors Affecting Car Ownership and Mode Choice in Rail Transit-supported Suburbs of a Large Chinese City.” Transportation Research Part A: Policy and Practice 94: 31–44.
- Snijder, T. A., and R. Bosker. 1999. Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. London: Savage.
- Spissu, E., N. Eluru, I. N. Sener, C. R. Bhat, and I. Meloni. 2010. “A Cross-Clustered Model of Home-Based Work Participation Frequency during Traditionally Off-Work Hours.” Transportation Research Record 2157: 138–146. doi:https://doi.org/10.3141/2157-17.
- Sun, B., A. Ermagun, and B. Dan. 2017a. “Built Environmental Impacts on Commuting Mode Choice and Distance: Evidence from Shanghai.” Transportation Research Part D: Transport and Environment 52: 441–453. doi:https://doi.org/10.1016/j.trd.2016.06.001.
- Sun, B., H. Yan, and T. Zhang. 2017b. “Built Environmental Impacts on Individual Mode Choice and BMI: Evidence from China.” Journal of Transport Geography 63: 11–21. doi:https://doi.org/10.1016/j.jtrangeo.2017.07.004.
- Thøgersen, J. 2018. “Transport-related Lifestyle and Environmentally-friendly Travel Mode Choices: A Multi-level Approach.” Transportation Research Part A: Policy and Practice 107: 166–186.
- Van Acker, V., P. L. Mokhtarian, and F. Witlox. 2014. “Car Availability Explained by the Structural Relationships between Lifestyles, Residential Location, and Underlying Residential and Travel Attitudes.” Transport Policy 35: 88–99. doi:https://doi.org/10.1016/j.tranpol.2014.05.006.
- Van Acker, V., and F. Witlox. 2010. “Car Ownership as a Mediating Variable in Car Travel Behaviour Research Using a Structural Equation Modeling Approach to Identify Its Dual Relationship.” Journal of Transport Geography 18: 65–74. doi:https://doi.org/10.1016/j.jtrangeo.2009.05.006.
- Wang, X., C. Shao, C. Yin, and L. Guan. 2020. “Built Environment, Life Events and Commuting Mode Shift: Focus on Gender Differences.” Transportation Research Part D: Transport and Environment 88: 102598. doi:https://doi.org/10.1016/j.trd.2020.102598.
- Wang, X., C. Shao, C. Yin, and C. Zhuge. 2018a. “Exploring the Influence of Built Environment on Car Ownership and Use with A Spatial Multilevel Model: A Case Study of Changchun, China.” International Journal of Environmental Research and Public Health 15: 1868. doi:https://doi.org/10.3390/ijerph15091868.
- Wang, X., C. Shao, C. Yin, C. Zhuge, and W. Li. 2018b. “Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun.” Sustainability 10: 484. doi:https://doi.org/10.3390/su10020484.
- Wu, W., and J. Hong. 2017. “Does Public Transit Improvement Affect Commuting Behavior in Beijing, China? A Spatial Multilevel Approach.” Transportation Research Part D: Transport and Environment 52: 471–479. doi:https://doi.org/10.1016/j.trd.2016.08.032.
- Yin, C., C. Shao, C. Dong, and X. Wang. 2019. “Happiness in Urbanizing China: The Role of Commuting and Multi-scale Built Environment across Urban regions[J].” Transportation Research Part D: Transport and Environment 74: 306–317. doi:https://doi.org/10.1016/j.trd.2019.08.010.
- Yin, C., C. Shao, and X. Wang. 2018. “Built Environment and Parking Availability: Impacts on Car Ownership and Use.” Sustainability 10: 2285. doi:https://doi.org/10.3390/su10072285.
- Yin, C., C. Shao, and X. Wang. 2020a. “Exploring the Impact of Built Environment on Car Use: Does Living near Urban Rail Transit Matter?” Transportation Letters 12 (6): 391–398. doi:https://doi.org/10.1080/19427867.2019.1611196.
- Yin, C., and B. Sun. 2018. “Disentangling the Effects of the Built Environment on Car Ownership: A Multi-level Analysis of Chinese Cities.” Cities 74: 188–195. doi:https://doi.org/10.1016/j.cities.2017.12.002.
- Yin, C., J. Zhang, and C. Shao. 2020b. “Relationships of the Multi-scale Built Environment with Active Commuting, Body Mass Index, and Life Satisfaction in China: A GSEM-based Analysis.” Travel Behaviour and Society 21: 69–78. doi:https://doi.org/10.1016/j.tbs.2020.05.010.
- Zegras, C. 2010. “The Built Environment and Motor Vehicle Ownership and Use: Evidence from Santiago De Chile.” Urban Studies 47: 1793–1817. doi:https://doi.org/10.1177/0042098009356125.
- Zhang, M., and P. Zhao. 2017. “The Impact of Land-use Mix on Residents’ Travel Energy Consumption: New Evidence from Beijing.” Transportation Research Part D: Transport and Environment 57: 224–236. doi:https://doi.org/10.1016/j.trd.2017.09.020.
- Zhang, W., and M. Zhang. 2018. “Incorporating Land Use and Pricing Policies for Reducing Car Dependence: Analytical Framework and Empirical Evidence.” Urban Studies 55: 3012–3033. doi:https://doi.org/10.1177/0042098017720150.
- Zhuge, C., and C. Shao. 2019. “Investigating the Factors Influencing the Uptake of Electric Vehicles in Beijing, China: Statistical and Spatial Perspectives.” Journal of Cleaner Production 213: 199–216. doi:https://doi.org/10.1016/j.jclepro.2018.12.099.