Urban Resident Travel Survey Method Based on Cellular Signaling Data

Bibliographic Data

ID22031335
AuthorsJunzhuo Li (0009-0007-3807-5111, Guilin University of Electronic Technology), Wenyong Li (0000-0003-3795-5997, Guilin University of Electronic Technology, corresponding author), Guan Lian (0000-0002-8825-3533, Guilin University of Electronic Technology)
Year2023
Volume12
Issue8
Pages304
Publication date2023-07-28
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi12080304
OpenAlexW4385423283
LanguageEN
References cited24

A low-cost, timely, and durable long-term approach to resident travel surveys is crucial for authorities to understand the city’s transportation systems and formulate transportation planning and management policies. This paper summarizes commonly used wireless positioning technologies and uses the STDBSCAN method to identify travel endpoints based on the characteristics of trajectory location information. It uses Shenzhen cellular signaling data to visually analyze the spatial and temporal distribution of urban traffic demand, traffic correlation, and asymmetry of traffic flow between different traffic zones. The results confirm that mobile internet information represented by cellular signaling information can effectively reflect the traffic status of urban areas, which, compared to traditional travel survey methods, has the advantages of lower cost, more timely feedback, and can be durably carried out in the long term

Floating car data · The Internet · Traffic congestion · Transport engineering · World Wide Web · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Traffic Prediction and Management Techniques · Transportation Planning and Optimization

Tools

Open DOIOpen Access