Spatio-temporal dynamics and recovery of commuting activities via bike-sharing around COVID-19: A case study of New York
文献类型：期刊论文
| 作者 | Gong, Mengjie1; Xin, Rui1; Yang, Jian4; Wang, Jiaoe2; Li, Tingting4; Zhang, Yujuan3 |
| 刊名 | JOURNAL OF TRANSPORT GEOGRAPHY
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 121页码:17 |
| 关键词 | Commuting activity COVID-19 Bike-sharing Multi-period spatiotemporal aggregation Space-time cube |
| ISSN号 | 0966-6923 |
| DOI | 10.1016/j.jtrangeo.2024.104031 |
| 产权排序 | 3 |
| 英文摘要 | The COVID-19 has led to significant changes in urban travel behaviors, with commuting being one of the most affected travel modes. Commuting cycling by bike-sharing systems (BSS) is regarded as a new transportation mode that is low-carbon and low-cost. However, its dynamic changes and spatiotemporal characteristics in different periods of COVID-19 still lack exploration. Therefore, this study adopts machine learning methods to identify commuter bike-sharing activities and develops a combined analysis method to analyze commuting cycling data via temporal, spatial, and spatiotemporal aggregation. Finally, we select the bike-sharing data in New York City from periods before, during, and after COVID-19 to conduct experiments. It has been found that commuting cycling experienced a "decrease-rebound" trend at the macroscopic level under the pandemic impact. However, at the micro level, urban mobility driven by this travel mode failed to fully recover, as evidenced by significant changes in spatial and temporal mobility patterns. The findings shall not only help traffic operators and managers discover the BSS commuting patterns but also reveal the pandemic impact on the travel behavior of urban residents, promoting the development of intelligent services for urban emergency management and traffic management. |
| WOS关键词 | TRAVEL PATTERNS ; BICYCLE ; TRANSIT ; BEHAVIORS ; USAGE ; GIS |
| 资助项目 | National Natural Science Founda-tion of China[42101452] ; Natural Science Foundation of Shandong Province[ZR2021QD027] ; Open Research Fund Program of Key Laboratory of Digital Mapping and Land Information Application, Minisitry of Natural Resources[ZRZYBWD202202] |
| WOS研究方向 | Business & Economics ; Geography ; Transportation |
| 语种 | 英语 |
| WOS记录号 | WOS:001341588500001 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Natural Science Founda-tion of China ; Natural Science Foundation of Shandong Province ; Open Research Fund Program of Key Laboratory of Digital Mapping and Land Information Application, Minisitry of Natural Resources |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/209760]  |
| 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 | Xin, Rui |
| 作者单位 | 1.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Shandong Prov Inst Land Surveying & Mapping, Jinan 250000, Peoples R China 4.Informat Engn Univ, Sch Geospatial Informat, Zhengzhou 450052, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gong, Mengjie,Xin, Rui,Yang, Jian,et al. Spatio-temporal dynamics and recovery of commuting activities via bike-sharing around COVID-19: A case study of New York[J]. JOURNAL OF TRANSPORT GEOGRAPHY,2024,121:17. |
| APA | Gong, Mengjie,Xin, Rui,Yang, Jian,Wang, Jiaoe,Li, Tingting,&Zhang, Yujuan.(2024).Spatio-temporal dynamics and recovery of commuting activities via bike-sharing around COVID-19: A case study of New York.JOURNAL OF TRANSPORT GEOGRAPHY,121,17. |
| MLA | Gong, Mengjie,et al."Spatio-temporal dynamics and recovery of commuting activities via bike-sharing around COVID-19: A case study of New York".JOURNAL OF TRANSPORT GEOGRAPHY 121(2024):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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