Characteristics analysis for travel behavior of transportation hub passengers using mobile phone data

Gang Zhong (), Tingting Yin (), Jian Zhang (), Shanglu He () and Bin Ran ()
Additional contact information
Gang Zhong: Southeast University
Tingting Yin: Jiangsu Expressway Company Limited
Jian Zhang: Southeast University
Shanglu He: Nanjing University of Science and Technology
Bin Ran: Southeast University

Transportation, 2019, vol. 46, issue 5, No 7, 1713-1736

Abstract: Abstract The travel behavior of passengers from the transportation hub within the city area is critical for travel demand analysis, security monitoring, and supporting traffic facilities designing. However, the traditional methods used to study the travel behavior of the passengers inside the city are time and labor consuming. The records of the cellular communication provide a potential huge data source for this study to follow the movement of passengers. This study focuses on the passengers’ travel behavior of the Hongqiao transportation hub in Shanghai, China, utilizing the mobile phone data. First, a systematic and novel method is presented to extract the trip information from the mobile phone data. Several key travel characteristics of passengers, including passengers traveling inside the city and between cities, are analyzed and compared. The results show that the proposed method is effective to obtain the travel trajectories of mobile phone users. Besides, the travel behavior of incity passengers and external passengers are quite different. Then, the correlation analysis of the passengers’ travel trajectories is provided to research the availability of the comprehensive area. Moreover, the results of the correlation analysis further indicate that the comprehensive area of the Hongqiao hub plays a relatively important role in passengers’ daily travel.

Keywords: Mobile phone data; Travel behavior; Transportation hub; Digital travel trajectory; Correlation analysis (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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DOI: 10.1007/s11116-018-9876-5

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