PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Residents' Travel Choice under Public Health Events and the Optimal Strategies of the Travel Environment for Active Mobility: A Case Study of Harbin, China
Version 1
: Received: 14 February 2024 / Approved: 14 February 2024 / Online: 14 February 2024 (14:24:29 CET)
How to cite:
Tan, L.; Fang, D.; Zhao, L.; Xue, Y.; Sun, S.; Lan, J.; Wang, X. Residents' Travel Choice under Public Health Events and the Optimal Strategies of the Travel Environment for Active Mobility: A Case Study of Harbin, China. Preprints2024, 2024020819. https://doi.org/10.20944/preprints202402.0819.v1
Tan, L.; Fang, D.; Zhao, L.; Xue, Y.; Sun, S.; Lan, J.; Wang, X. Residents' Travel Choice under Public Health Events and the Optimal Strategies of the Travel Environment for Active Mobility: A Case Study of Harbin, China. Preprints 2024, 2024020819. https://doi.org/10.20944/preprints202402.0819.v1
Tan, L.; Fang, D.; Zhao, L.; Xue, Y.; Sun, S.; Lan, J.; Wang, X. Residents' Travel Choice under Public Health Events and the Optimal Strategies of the Travel Environment for Active Mobility: A Case Study of Harbin, China. Preprints2024, 2024020819. https://doi.org/10.20944/preprints202402.0819.v1
APA Style
Tan, L., Fang, D., Zhao, L., Xue, Y., Sun, S., Lan, J., & Wang, X. (2024). Residents' Travel Choice under Public Health Events and the Optimal Strategies of the Travel Environment for Active Mobility: A Case Study of Harbin, China. Preprints. https://doi.org/10.20944/preprints202402.0819.v1
Chicago/Turabian Style
Tan, L., Jingxu Lan and Xue Wang. 2024 "Residents' Travel Choice under Public Health Events and the Optimal Strategies of the Travel Environment for Active Mobility: A Case Study of Harbin, China" Preprints. https://doi.org/10.20944/preprints202402.0819.v1
Abstract
During public health events, Active Mobility (walking and cycling) plays an important role in securing residents' travel. To enhance the resilience of urban transportation, this article integrates the travel environment elements for walking and cycling and constructs a travel environment for Active Mobility evaluation index system. This article uses survey data from the main urban area of Harbin in the context of the COVID-19 pandemic in May 2022, and combines the Gradient Boosting Decision Tree (GBDT) and Impact-Asymmetry Analysis (IAA) methods to analyze the satisfaction of the travel environment for Active Mobility. It proposes strategies for optimizing the travel environment for Active Mobility, ensuring residents' travel during public health events, guiding them to adopt Active Mobility, and improving urban transportation resilience. This research shows that Active Mobility can enhance urban transportation resilience. In addition, there are differences in resident demand for walking and cycling environments in the travel environment for Active Mobility. Residents are more concerned about the comfort of the walking environment, while they prioritize the convenience of the cycling environment.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
