Abstract

The purpose of this study is to create a bi-level programming model for the optimal bus stop spacing of a bus rapid transit (BRT) system, to ensure simultaneous coordination and consider the interests of bus companies and passengers. The top-level model attempts to optimize and determine optimal bus stop spacing to minimize the equivalent costs, including wait, in-vehicle, walk, and operator costs, while the bottom-level model reveals the relation between the locations of stops and spatial service coverage to attract an increasing number of passengers. A case study of Chengdu, by making use of a genetic algorithm, is presented to highlight the validity and practicability of the proposed model and analyze the sensitivity of the coverage coefficient, headway, and speed with different spacing between bus stops.

Highlights

  • Bus rapid transit (BRT) provides a punctual, fast, safe, and comfortable service for travelers through the use of dedicated road space

  • Combined with the advantages of conventional public transport and rail transit systems, it has the advantages of accommodating large volumes of passengers, is fast running, and flexible

  • This paper investigates the stop spacing problem of the BRT system, which is considered to be an important issue with respect to enhancing the attraction of the urban public transport system

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Summary

Introduction

Bus rapid transit (BRT) provides a punctual, fast, safe, and comfortable service for travelers through the use of dedicated road space. Combined with the advantages of conventional public transport and rail transit systems, it has the advantages of accommodating large volumes of passengers, is fast running, and flexible. BRT has increasingly become one of the more popular means of public transport, which is worth promoting since the cost for the development of a rail transit system is very high. Compared with conventional public transport systems, BRT has been known to be more effective in terms of passenger flow distribution. The spacing of bus stops is correlated to the operation efficiency, costs, and service level of a BRT system. If bus stops are placed further apart with larger spacing distances, the walking time for passengers increases. This paper investigates the stop spacing problem of the BRT system, which is considered to be an important issue with respect to enhancing the attraction of the urban public transport system

Overview of Solutions
Top-Level Model Establishment
Wait Cost
In-Vehicle Cost
Walk Cost
Operator Cost
Construction of a Bottom-Level Model
Case Study
Model Verification
Sensitivity Analysis
Coverage Coefficient of Bus Stops
BRT Headway
Normal Speed
Findings
Conclusions
Full Text
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