Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
Research have suggested that TOD (transit-oriented development) in sub-centers with transit stations is an approach to increase foot traffic and the overall vitality of the area. However, current development of sub-centers mostly follows the established TOD model in CAZs (central activity zone), and most TOD studies do not deliberately distinguish or emphasize between CAZs and sub-centers. Therefore, this study aims to examine the influence of factors in the built-up area of Shanghai's urban sub-center on TOD-ness around the station. The four main factors are accessibility to private cars, land use, inner connectivity, and functionality. A regression model was introduced to validate the factors that significantly influence transit ridership. Results show that most of factors are relative to metro usage, with a lower correlation index, indicating the extent of the impact they bring varies remarkably with the urban context. while some factors have conversed influence as in urban centers.
Recommended Citation
Jin, Chenwei, "Examining Common Factors Influencing Suburban Transit Ridership – A Case Study of Metro Stations outside Center-Shanghai" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 5.
https://aisel.aisnet.org/hicss-58/li/data_analytics/5
Examining Common Factors Influencing Suburban Transit Ridership – A Case Study of Metro Stations outside Center-Shanghai
Hilton Waikoloa Village, Hawaii
Research have suggested that TOD (transit-oriented development) in sub-centers with transit stations is an approach to increase foot traffic and the overall vitality of the area. However, current development of sub-centers mostly follows the established TOD model in CAZs (central activity zone), and most TOD studies do not deliberately distinguish or emphasize between CAZs and sub-centers. Therefore, this study aims to examine the influence of factors in the built-up area of Shanghai's urban sub-center on TOD-ness around the station. The four main factors are accessibility to private cars, land use, inner connectivity, and functionality. A regression model was introduced to validate the factors that significantly influence transit ridership. Results show that most of factors are relative to metro usage, with a lower correlation index, indicating the extent of the impact they bring varies remarkably with the urban context. while some factors have conversed influence as in urban centers.
https://aisel.aisnet.org/hicss-58/li/data_analytics/5