Matching Degree Between Ridership and Vitality of Shanghai Suburban Rail Sites

Abstract:

This paper first constructs a vitality index based on mobile phone signaling data to measure the crowd travel intensity and scope in site service area. Based on the matching degree of ridership and vitality， 77 rail stations in suburban Shanghai are divided into three groups： high vitality and high ridership， high vitality and low ridership， and low vitality and low ridership， accounting for 38%， 18% and 44% respectively. The multinominal Logit model is developed with multi-dimensional attributes， such as development intensity of station service area and service level of the rail. The results show that compared with rail stations whose vitality and ridership are both high， rail stations with a high vitality but a low ridership are mainly distributed on the lines that do not directly pass through the main urban area， and it is more necessary to strengthen the service level of the rail and reduce crowd dependence on cars to improve rail ridership. Rail stations with a low vitality and a low ridership are mainly distributed in outer suburbs with a low development density and strengthening the development level of the site service area is the key to improve vitality and ridership. This paper provides a novel research perspective for the synergistic development of ridership and vitality of suburban rail sites in large cities.