Urban Resident Travel Survey Method Based on Cellular Signaling Data
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 S...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/12/8/304 |
| _version_ | 1827729532299247616 |
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| author | Junzhuo Li Wenyong Li Guan Lian |
| author_facet | Junzhuo Li Wenyong Li Guan Lian |
| author_sort | Junzhuo Li |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T23:53:00Z |
| format | Article |
| id | doaj.art-063b71cd94074214a4313dd2fc9f2914 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T23:53:00Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-063b71cd94074214a4313dd2fc9f29142023-11-19T01:23:32ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-07-0112830410.3390/ijgi12080304Urban Resident Travel Survey Method Based on Cellular Signaling DataJunzhuo Li0Wenyong Li1Guan Lian2School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaGuangxi Key Laboratory of Intelligent Transportation, Guilin University of Electronic Technology, Guilin 541004, ChinaA 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.https://www.mdpi.com/2220-9964/12/8/304transportation planning and managementresident travel surveycellular signaling informationlocation techniquespatial clustering |
| spellingShingle | Junzhuo Li Wenyong Li Guan Lian Urban Resident Travel Survey Method Based on Cellular Signaling Data ISPRS International Journal of Geo-Information transportation planning and management resident travel survey cellular signaling information location technique spatial clustering |
| title | Urban Resident Travel Survey Method Based on Cellular Signaling Data |
| title_full | Urban Resident Travel Survey Method Based on Cellular Signaling Data |
| title_fullStr | Urban Resident Travel Survey Method Based on Cellular Signaling Data |
| title_full_unstemmed | Urban Resident Travel Survey Method Based on Cellular Signaling Data |
| title_short | Urban Resident Travel Survey Method Based on Cellular Signaling Data |
| title_sort | urban resident travel survey method based on cellular signaling data |
| topic | transportation planning and management resident travel survey cellular signaling information location technique spatial clustering |
| url | https://www.mdpi.com/2220-9964/12/8/304 |
| work_keys_str_mv | AT junzhuoli urbanresidenttravelsurveymethodbasedoncellularsignalingdata AT wenyongli urbanresidenttravelsurveymethodbasedoncellularsignalingdata AT guanlian urbanresidenttravelsurveymethodbasedoncellularsignalingdata |