A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The impact of new metro on travel behavior: Panel analysis using mobile phone data
Highlights We conducted a panel analysis to assess the impact of new metros on travel behavior. We used mobile phone data to construct large-scale genuine panel data. The new metros increased the metro trips and activity space in the 0–3 km range. The new metros only increased total trip frequency and distance in the 0–1 km range. New metro trips mainly replaced bike, e-bike, and bus trips, and slowed the growth trend of car trips.
Abstract The impact of urban rail transit on changes in various travel behavior outcomes has long been debated. However, few studies have used large-scale panel data to investigate how urban rail transit affects travel behavior. In the case of the new metros in Shenzhen, China, we constructed a four-wave panel of 7,799 residents across two years by using mobile phone data. We used a treatment–control group research design and a difference-in-differences analysis to evaluate the impact of the new metros on travel behavior in catchment areas of 0–1, 1–2, and 2–3 km, respectively. The results show that the appearance of the new metros increased the metro trips and activity space for the residents living in the 0–3 km range, but only increased total trip frequency and distance for the residents living in the 0–1 km range. New metro trips mainly replaced bike, e-bike, and bus trips, and slowed the growth trend of car trips. The findings help planners and policymakers better understand the impact of urban rail transit on the residents’ mobilities.
The impact of new metro on travel behavior: Panel analysis using mobile phone data
Highlights We conducted a panel analysis to assess the impact of new metros on travel behavior. We used mobile phone data to construct large-scale genuine panel data. The new metros increased the metro trips and activity space in the 0–3 km range. The new metros only increased total trip frequency and distance in the 0–1 km range. New metro trips mainly replaced bike, e-bike, and bus trips, and slowed the growth trend of car trips.
Abstract The impact of urban rail transit on changes in various travel behavior outcomes has long been debated. However, few studies have used large-scale panel data to investigate how urban rail transit affects travel behavior. In the case of the new metros in Shenzhen, China, we constructed a four-wave panel of 7,799 residents across two years by using mobile phone data. We used a treatment–control group research design and a difference-in-differences analysis to evaluate the impact of the new metros on travel behavior in catchment areas of 0–1, 1–2, and 2–3 km, respectively. The results show that the appearance of the new metros increased the metro trips and activity space for the residents living in the 0–3 km range, but only increased total trip frequency and distance for the residents living in the 0–1 km range. New metro trips mainly replaced bike, e-bike, and bus trips, and slowed the growth trend of car trips. The findings help planners and policymakers better understand the impact of urban rail transit on the residents’ mobilities.
The impact of new metro on travel behavior: Panel analysis using mobile phone data
Deng, Yiling (author) / Zhao, Pengjun (author)
Transportation Research Part A: Policy and Practice ; 162 ; 46-57
2022-05-19
12 pages
Article (Journal)
Electronic Resource
English
Tracking Individual Travel Behavior Using Mobile Phone
| Taylor & Francis Verlag | 2004
Analyzing detour behavior of metro passengers based on mobile phone data
| Taylor & Francis Verlag | 2022