Estimating light-rail transit peak-hour boarding based on accessibility at station and route levels in Wuhan, China
place - asia, place - urban, mode - tram/light rail, ridership - demand, ridership - modelling
Light-rail transit (LRT), ridership, estimation, accessibility, Wuhan
Promoting public transit is a well-recognized policy for sustainable urban transport development. Transit demand analysis proves to be a challenging task in fast growing cities, partially due to the lack of reliable data and applicable techniques for rapidly changing urban contexts. This paper presents an effort to meet the challenge by developing a framework to estimate peak-hour boarding at light-rail transit (LRT) stations. The core part of the framework is an accessibility-weighted ridership model that multiplies potential demand by integral LRT accessibility. Potential demand around LRT stations is generated by using a distance-decay function. The integral LRT accessibility is a route-level factor that indicates the degree of attractiveness to LRT travel for stations in an LRT corridor. A case study in Wuhan, China, shows that the proposed method produces results useful for improving transit demand analysis.
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Huang, Z., Zhang, M., & Liu, X. (2017). Estimating light-rail transit peak-hour boarding based on accessibility at station and route levels in Wuhan, China. Journal Transportation Planning and Technology, Vol. 40, pp. 624-639.