Abstract

Locating urban bus corridors based on corridor characteristics can increase the transportation capacity, improve transportation efficiency, and increase the attractiveness and commercial value of urban bus corridors. In this paper, we describe the comprehensive optimization of the urban bus corridor location and setting of bus lanes, while considering the aggregation effect of the corridor. First, we use a K-shortest path algorithm to generate a candidate set of bus corridors. Then, we analyze the influencing factors of the bus corridor. Following this, we take the minimum generalized cost and the maximum aggregation utility along the path as the objective function and design a bus corridor location identification optimization model, considering arc capacity, plot ratio, corridor development, and time constraints. Finally, we examine the real-world example of the Beijing city and identify the location of the bus corridors in the morning and evening peak hours. The one-way traffic of most of the roads identified as bus corridors was found to be greater than 6671 people/h. Thus, the location of the bus corridor and setting of bus lanes in the corridor are closely related to passenger flow, and the method can provide scientific guidance for transportation and urban planning departments and facilitate collaboration between these departments.

Highlights

  • Increased urbanization has led to the continuous expansion of some large cities and an increase in the number of people and vehicles in these cities

  • Priority should be given to the development of public transportation and the improvement of public transportation services for the sustainable development of transportation services

  • In the Beijing rail transit road network in 2018, there were 10 sections with a maximum cross-section passenger flow of more than 40,000 people per hour, one section with a maximum cross-section passenger flow of 60,000 people, and 21 sections with a maximum section full load rate exceeding 100%; these parameters were observed in the morning and evening peak hours, and were found to significantly reduce the quality of the passengers’ travel experience [1]

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Summary

Introduction

Increased urbanization has led to the continuous expansion of some large cities and an increase in the number of people and vehicles in these cities. A large number of studies have shown that public transportation development and land use should be coordinated from the urban level [3,4], through mutual support and comprehensive utilization between the two [5,6,7] to achieve a reasonable distribution of vehicles on roads, improve travel efficiency, and reduce urban pollution and noise [8]. The bus corridor has economic, social, and environmental benefits and improves public transportation services, reduces passenger travel time, enhances passenger travel experience, and eases urban congestion. It can realize the aggregation of passenger flow and city activities, improve the efficiency and attractiveness of bus travel, and optimize the structure of urban travel. It is necessary to identify urban bus corridor locations and decide their development mode

Literature Review
Problem Description
Methodology
Key Node Identification
Key Node Evaluation
Corridor Development Intensity
Corridor Gravitational Effect
Mathematical Model
Generalized Cost
Corridor Aggregation Utility
F2max ω3
Model Solution Method
Findings
Key Node Analyses

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