Analysis of Urban Public Transit Accessibility Using Big Data: A Case Study of Nanjing, China

Accessibility is a vital indicator of service levels of transport resources and public infrastructure. Though this topic is increasingly popular, researchers in China, have less access than overseas scholars to primary traffic data when analyzing accessibility with geographic information systems (GIS) due to the scarcity of transportation database construction. This paper provides a new approach to this problem by integrating big data sources into ArcGIS. With the case study of Nanjing, China, the reachable time acts as the accessibility indicator; an improved spatial separation model is established. The distribution characteristics of accessibility in arbitrary continuous regions are extracted by using inverse distance weighted interpolation method (IDW). As a result, the authors obtain the spatial feature distribution figures of transit accessibility in the city of Nanjing. These figures provide decision-making support for Nanjing’s urban public transport planning and contribute to new urbanization and infrastructure construction.

Language

  • English

Media Info

  • Media Type: Web
  • Pagination: pp 4585-4598
  • Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

Filing Info

  • Accession Number: 01768473
  • Record Type: Publication
  • ISBN: 9780784483053
  • Files: TRIS, ASCE
  • Created Date: Dec 9 2020 3:07PM