Title: A percolation theory-based street network connectivity model for feeder transit services

Authors: Shailesh Chandra; Vinay Kumar

Addresses: Department of Civil Engineering and Construction Engineering Management, California State University, Long Beach, 1250 Bellflower Blvd., MS 5101, Long Beach, California, USA ' Department of Civil Engineering and Construction Engineering Management, California State University, Long Beach, 1250 Bellflower Blvd., MS 5101, Long Beach, California, USA

Abstract: In this paper, percolation-based street network connectivity is studied for two types of networks from transit systems: first, networks from a fixed route transit (FRT) and second, networks from a flexible route transit (FXRT). Application examples with Route 121 from Long Beach Transit for FRT show that the connectivity of a section of the route analysed is up to 67%. With FXRT example using five Call-n-Ride (CnR) Denver RTD, the connectivity is found to be the highest for Interlocken with street connectivity up to 14.4%. The street network from all the five CnR systems appeared to be poorly connected for drop-off or pick-up of passengers. This research would serve as a benchmark to studying several other percolation-based properties of porous media that can be successfully applied to modelling network connectivity of other modes of transportation such as rail and freight trucks.

Keywords: percolation; connectivity; transportation networks; feeder transit; route; transfer point; travel time; Long Beach Transit; flexible route; route deviations; bus; simulation.

DOI: 10.1504/WRITR.2020.106916

World Review of Intermodal Transportation Research, 2020 Vol.9 No.2, pp.120 - 136

Received: 12 Apr 2019
Accepted: 30 Aug 2019
Published online: 27 Apr 2020 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article