Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning
文献类型：期刊论文
| 作者 | Chen, Liangkan1,2,3; Chen, Mingxing1,2,3; Fan, Chao4 |
| 刊名 | CITIES
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 155页码:105493 |
| 关键词 | Commuting distance Age disparity Mobile signaling data XGBoost SHAP Beijing |
| DOI | 10.1016/j.cities.2024.105493 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The increasing commuting issues faced by residents in China's megacities have led to a growing body of literature on commuting equality. However, longitudinal evidence on the heterogeneous and nonlinear associations between socioeconomics and commuting distances across different age groups remains unknown. This study employs a large-scale dataset of location-based data from mobile devices to identify age disparities in commuting patterns, home-work balance, and commuting distance. We take the commuting patterns in Beijing as a case study. Employing the eXtreme Gradient Boosting (XGBoost) machine learning model and the Shapley Additive exPlanations (SHAP) method, we examined and explained the nonlinear interactive effects of individual and socioeconomic characteristics on commuting distance. The results revealed significant age disparities in the work-home balance within Beijing, with young individuals tending to have longer intra-city commuting distances than the old. This study highlights the impacts of individual and socioeconomic attributes on commuting disparities across age groups. Housing prices emerged as the most significant factor explaining commuting distance, followed by the importance of achieving a suitable home-work balance for young people. The spatial contradiction between housing and employment opportunities has played a crucial role in shaping commuting patterns. These insights contribute to urban planning efforts aimed at achieving social equity in commuting and enhancing the overall quality of life in cities. |
| WOS关键词 | MODE CHOICE ; BIG-DATA ; PATTERNS ; INEQUITY ; MEGACITY ; TRAVEL ; TIME |
| WOS研究方向 | Urban Studies |
| WOS记录号 | WOS:001368739100001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/210492]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Chen, Mingxing |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 4.Clemson Univ, Sch Civil & Environm Engn & Earth Sci, Coll Engn Comp & Appl Sci, Clemson, SC 29634 USA |
| 推荐引用方式 GB/T 7714 | Chen, Liangkan,Chen, Mingxing,Fan, Chao. Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning[J]. CITIES,2024,155:105493. |
| APA | Chen, Liangkan,Chen, Mingxing,&Fan, Chao.(2024).Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning.CITIES,155,105493. |
| MLA | Chen, Liangkan,et al."Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning".CITIES 155(2024):105493. |
入库方式： OAI收割
来源：地理科学与资源研究所
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