Study on Spatio-Temporal Patterns of Commuting under Adverse Weather Events: Case Study of Typhoon In-Fa
文献类型:期刊论文
作者 | Ji, Tao3; Huang, Xian; Shao, Jinliang; Zhu, Yunqiang3; Deng, Shejun; Yu, Shijun; Liao, Huajun2 |
刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION |
出版日期 | 2024-02-01 |
卷号 | 13期号:2页码:50 |
关键词 | accessibility feature of spatio-temporal evolution extreme weather events typhoon In-Fa main urban area of Yangzhou City |
DOI | 10.3390/ijgi13020050 |
产权排序 | 2 |
文献子类 | Article |
英文摘要 | This study focuses on the main urban area of Yangzhou City and conducts a quantitative comparative analysis of traffic accessibility during normal weather and extreme precipitation conditions (typhoon) based on GPS trajectories of buses. From both temporal and spatial dimensions, it comprehensively examines the impact of extreme precipitation on bus travel speed, travel time, and the commuting range of residents in the main urban area of Yangzhou City. (1) Through the mining and analysis of multi-source heterogeneous big data (bus GPS trajectory data, bus network data, rainfall remote sensing data, and road network data), it is found that the rainstorm weather greatly affects the average speed and travel time of buses. In addition, when the intensity of heavy rainfall increases (decreases), the average bus speed and travel time exhibit varying degrees of spatio-temporal change. During the morning and evening rush hour commuting period of rainstorm weather, there are obvious differences in the accessibility change in each typical traffic community in the main urban area of Yangzhou city. In total, 90% of the overall accessibility change value is concentrated around -5 min similar to 5 min, and the change range is concentrated around -25 similar to 10%. (2) To extract the four primary traffic districts (Lotus Pond, Slender West Lake, Jinghua City, and Wanda Plaza), we collected Points of Interest (POI) data from Amap and Baidu heat map, and a combination analysis of the employment-residence ratio model and proximity methods was employed. The result show that the rainstorm weather superimposed on the morning peak hour has different degrees of impact on the average speed of the above-mentioned traffic zones, with the most obvious impact on the Lotus Pond and the smallest impact on Wanda Plaza. Under the rainstorm weather, the traffic commute in the main urban area of Yangzhou in the morning and evening peak hour is basically normal. The results of this paper can help to quantify the impact of typhoon-rainstorm weather events on traffic commuting in order to provide a scientific basis for the traffic management department to effectively prevent traffic jams, ensure the reliability of the road network, and allow the traffic management department to more effectively manage urban traffic. |
WOS关键词 | RIDERSHIP ; IMPACT ; TRAVEL ; RAINFALL ; RAIL |
WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:001175093600001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/203347] |
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.SuperMap Software Co Ltd, Beijing 100015, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Yangzhou Univ, Coll Architectural Sci & Engn, Yangzhou 225127, Peoples R China |
推荐引用方式 GB/T 7714 | Ji, Tao,Huang, Xian,Shao, Jinliang,et al. Study on Spatio-Temporal Patterns of Commuting under Adverse Weather Events: Case Study of Typhoon In-Fa[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2024,13(2):50. |
APA | Ji, Tao.,Huang, Xian.,Shao, Jinliang.,Zhu, Yunqiang.,Deng, Shejun.,...&Liao, Huajun.(2024).Study on Spatio-Temporal Patterns of Commuting under Adverse Weather Events: Case Study of Typhoon In-Fa.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,13(2),50. |
MLA | Ji, Tao,et al."Study on Spatio-Temporal Patterns of Commuting under Adverse Weather Events: Case Study of Typhoon In-Fa".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 13.2(2024):50. |
入库方式: OAI收割
来源:地理科学与资源研究所
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