Resilience of ride-hailing services in response to air pollution and its association with built-environment and socioeconomic characteristics
Datos Bibliográficos
| ID | 12295100 |
|---|---|
| Autores | Yisheng Peng (0000-0003-2994-1448, Southwest Jiaotong University), Jiahui Liu (0009-0001-8829-4490, University of Hong Kong), F Li (0000-0001-9835-375X, Chengdu University of Technology), Jianqiang Cui (Griffith University), Yi Lü (0000-0001-7614-6661, City University of Hong Kong), Linchuan Yang (0000-0001-6070-9044, Southwest Jiaotong University, autor de correspondencia) |
| Año | 2024 |
| Volumen | 120 |
| Páginas | 103971-103971 |
| Fecha de publicación | 2024-08-20 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal of Transport Geography (JOURNAL) |
| Identificadores de la revista | ISSN: 0966-6923 • E-ISSN: 1873-1236 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jtrangeo.2024.103971 |
| OpenAlex | W4402162541 |
| Idioma | EN |
| Citas recibidas | 8 |
| Referencias citadas | 59 |
Air pollution, an unexpected event, poses a significant threat to public health and affects human mobility. Ride-hailing provides an effective way to understand how human mobility adapts to air pollution. This study examines a week-long ride-hailing demand dataset from Chengdu, China, to evaluate the resilience of ride-hailing services (or ride-hailing resilience) in the face of poor air quality. A gradient boosting decision tree model is developed to explore the non-linear and interaction effects of air pollution, the built environment, and socioeconomic characteristics on ride-hailing demand and resilience. The results show that the relative importance and impact of independent factors on ride-hailing demand and resilience vary. Specifically, the density of residence facilities and air pollution are the most important predictors of ride-hailing demand and resilience, respectively. The non-linear and interaction effects of air pollution and selected built-environment and socioeconomic characteristics on ride-hailing resilience are presented. We recommend that urban planners and policymakers address the vulnerability of regions to air pollution, optimize the allocation of ride-hailing resources, and develop strategies to improve regional resilience
Air pollution · Association (psychology · Built environment · Business · Civil engineering · Environmental health · Environmental planning · Geography · Poison control · Psychological resilience · Resilience (materials science · Socioeconomic status · Engineering · Medicine · Psychology · Social Psychology · Traffic and Road Safety · Transportation Planning and Optimization · Urban Transport and Accessibility · Ecology
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| Obras citantes distintas | 8 |
|---|---|
| Citas por año | 8 |
| Intervalo de citas | 2025 - 2026 (2) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 8 |