Geng, K., Wang, Y., Ettema, D. et al. (1 more author) (2021) Exploring the effects of congestion charge on relocation decisions under non-capital functions relieving strategy in Beijing. Research in Transportation Business & Management, 38. 100469. ISSN 2210-5395
Abstract
A common problem with rapid urbanization is the associated infrastructure lag that fails to keep pace with an increasingly growing population. Lawmakers try to minimize this lag by implementing policies that can ameliorate the challenges faced by rapid urbanization. The Beijing government has implemented a “non-capital functions relieving strategy” to incentivize specific industries to relocate. Unfortunately, the willingness of business owners to relocate was too low, and the reasons remain unclear. Moreover, limited studies explored the long-term effects of a congestion charge, especially when combined with a government relocation strategy. The purpose of this research is to achieve a deeper understanding of the urban population's attitudes towards strategies that aim to mitigate the effects of over-populated cities. To accomplish this research, face-to-face surveys were conducted in six wholesale markets in four categories. The ordered logit model revealed there were seven types of influential factors that had a significant effect on the respondents' willingness to relocate. The results indicate that the relocation effect of a congestion charge may be weakened under such an urban strategy. This study empirically informs market managers and policymakers on how to incentivize merchants into resettling into areas outside of megacities to mitigate the adverse effects of overpopulation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Immigrant population; Urban functions relieving; Job-residential relocation; Road pricing; Ordered logit mod |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Mar 2025 14:47 |
Last Modified: | 20 Mar 2025 13:58 |
Published Version: | https://www.sciencedirect.com/science/article/pii/... |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.rtbm.2020.100469 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:224574 |