Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation
文献类型：期刊论文
| 作者 | Gao, Kun; Li, Aoyong1,2; Liu, Yang; Gil, Jorge; Bie, Yiming4 |
| 刊名 | SUSTAINABLE CITIES AND SOCIETY
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 98页码:104820 |
| 关键词 | Micromobility Mode substitution Big data analysis Built environment Interpretable machine learning |
| DOI | 10.1016/j.scs.2023.104820 |
| 文献子类 | Article |
| 英文摘要 | Understanding the mode substitution of shared micro-mobility systems is essential for assessing their societal and environmental impact and developing improvement planning instruments. This study carries out a fine-grained analysis of the mode substitution of dockless bike sharing (DLBS) in relation to other transport modes at the trip level, leveraging multi-modal route planning techniques, transaction data of bike-sharing, and travel behavior modeling. More importantly, the study leverages interpretable machine learning to reveal the complex effects of built environment factors on the mode substitution patterns of DLBS based on multiple data sources. The results indicate that the probabilities of DLBS replacing other transport modes present large heterogeneity among different trips and in different urban contexts, which can be successfully quantified by the proposed approach at the trip level. The average substitution rates of bike-sharing to bus, metro, walking and ride-hailing in Shanghai are estimated to be 0.356, 0.116, 0.347 and 0.181, respectively. Built environment factors such as presence of transit systems can explain the variations in the substitution rates of DLBS to a certain transport mode in different urban contexts. Especially, the effects of some built environment factors show complex nonlinear and threshold patterns revealed by the data-driven method. The effects of key built environment factors are quantitatively interpreted and their practical implications discussed. |
| WOS关键词 | BUILT ENVIRONMENT ; TRAVEL-TIME ; LOGIT |
| WOS研究方向 | Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels |
| WOS记录号 | WOS:001053076900001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200892]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Chalmers Univ Technol, Dept Architecture & Civil Engn, SE-41296 Gothenburg, Sweden 2.Tsinghua Univ, Sch Vehicle & Mobil, Beijing, Peoples R China 3.Jilin Univ, Sch Transportat, Changchun 130022, Peoples R China 4.State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Kun,Li, Aoyong,Liu, Yang,et al. Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation[J]. SUSTAINABLE CITIES AND SOCIETY,2023,98:104820. |
| APA | Gao, Kun,Li, Aoyong,Liu, Yang,Gil, Jorge,&Bie, Yiming.(2023).Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation.SUSTAINABLE CITIES AND SOCIETY,98,104820. |
| MLA | Gao, Kun,et al."Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation".SUSTAINABLE CITIES AND SOCIETY 98(2023):104820. |
入库方式： OAI收割
来源：地理科学与资源研究所
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