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Aug 12, 2020
Spatial-Temporal Characteristics of Intercity Travel in Urban Agglomeration during the National Day
Authors: Tong Liu [email protected], Xuedong Yan [email protected], Liwei Wang [email protected], Deqi Chen [email protected], and Xinmei Tian [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
In order to promote the development of the Pearl River delta urban agglomeration, it is essential to grasp the travel characteristics of intercity travel. This paper studies spatial-temporal characteristics of residents’ travel in the area based on car-hailing data on National Day. The paper analyzes the temporal characteristics of urban agglomeration travel, studies peak period of residents travel during the holiday, and uses the correlation coefficient to analyze the correlation of departures and arrivals. Then, the spatial characteristics of urban agglomeration travel is analyzed. The GDBSCAN algorithm solves the problem of low efficiency caused by the large amount of travel data in the analysis of the spatial characteristics. The results show that intercity traveler’s vacation is longer than National Day and there is an obvious round-trip phenomenon. The core regions show strong connections in the boundary of administrative division, which shows a good trend of regional development in urban agglomeration.
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© 2020 American Society of Civil Engineers.
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Published online: Aug 12, 2020
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1MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
2MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
3MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
4MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
5MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
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