A hierarchical process for optimizing bus stop distribution

Abstract

Transit stop spacing is an important indicator in deploying public transit services. This paper presents a hierarchical process for optimizing distribution of bus stops in the context of multi-modal transit development in large cities. Firstly, connection stops are generated manually to connect with other transit facilities. Secondly, key stops are identified based on a coverage model that minimizing total distance, using node centrality value as weight. Thirdly, ordinary bus stops are optimized with cover- age model that maximizing potential transit demand. The analytical process is based on a combination of raster and vector data models in Geographical information system, which allows for flexible computing and effective evaluation. Keywords: