Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun
AbstractConcerns about transportation energy consumption and emissions force urban planners and policy makers to pay more attention to the effects of car ownership and use on the environment in China. However, few studies have investigated the relationship between the built environment and car ownership and use in China, especially in mid-sized and small cities. This study uses Changchun, China as a case study and examines the potential impacts of the built environment and socio-demographics on car ownership and use for commuting simultaneously using Bayesian multilevel binary logistic models. Furthermore, the spatial autocorrelation of car ownership and use is recognized across traffic analysis zones (TAZs), which are specifically represented by the conditional autoregressive (CAR) model. The estimated results indicate that socio-demographic characteristics have significant effects on car ownership and use. Moreover, the built environment measured at the TAZ level still shows a significant association with other factors controlled. Specifically, it suggests that denser residential density, compact land use, better transit services and street connectivity can reduce car dependency more effectively. This study provides new insights into how the built environment influences the car ownership and use, which can be useful for urban planners and policy makers to develop strategies for reducing car dependency. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Wang, X.; Shao, C.; Yin, C.; Zhuge, C.; Li, W. Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun. Sustainability 2018, 10, 484.
Wang X, Shao C, Yin C, Zhuge C, Li W. Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun. Sustainability. 2018; 10(2):484.Chicago/Turabian Style
Wang, Xiaoquan; Shao, Chunfu; Yin, Chaoying; Zhuge, Chengxiang; Li, Wenjun. 2018. "Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun." Sustainability 10, no. 2: 484.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.