Network-level Optimization of Bus Stop Placement in Urban Areas

Chen, Jingxu; Wang, Shuaian; Liu, Zhiyuan; Chen, Xuewu

doi:10.1007/s12205-017-0075-2

Cited by 13 publications

(7 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the non-transfer area, after calculating the average walking arrival time of passengers in the area through Formula ( 5), the bus sharing rate in the service area can be obtained according to Formula (6). If the optimization goal can be achieved, the service area is positioned as a built-up bus area.…”

Section: Establishment Of Optimization Model 231 Optimization Model F...mentioning

confidence: 99%

“…Herrera [5] used a gravity model to conduct quantitative research on the location of conventional bus stops. Chen [6] established a bilevel programming model to optimize the distance between bus stops. Stephen [7] constructed a location model based on an univariate density estimation and a multivariate density estimation; the results show that the result accuracy of the univariate density estimation location method is higher.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization Method for Conventional Bus Stop Placement and the Bus Line Network Based on the Voronoi Diagram

Wang

Zhu

et al. 2022

Sustainability

View full text Add to dashboard Cite

With the rapid development of the economy, the existing conventional bus transit system finds it difficult to meet people’s increasing travel needs. In addition, with the emergence and rapid development of urban rail transit, it is also necessary to integrate the existing conventional bus transit system with the rail transit system to realize the optimization of the whole public transport system. This study introduces the concept of the Voronoi diagram and uses it to divide the service area of bus stops. Taking the average walking time of regional passengers to the station as the main index, the convenience of passengers in the service area was evaluated, and a set of candidate station sites is established. Against the background of urban rail transit, a complete optimization model for a conventional bus station layout and line network was proposed. Finally, taking Wuhan East Lake High-tech Development Zone as an example, two optimization schemes for the public transport system were obtained. Compared with the status quo, the optimized scheme had obvious improvement effects on the repetition coefficient of bus lines, per capita transfer time, bus line network coverage and station service rate. This has been recognized by the local authorities, which proves the practicality and scientificity of the optimization method of this study.

show abstract

Section: Establishment Of Optimization Model 231 Optimization Model F...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization Method for Conventional Bus Stop Placement and the Bus Line Network Based on the Voronoi Diagram

Wang

Zhu

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…The bi-level programming model is often used to optimize bus stop spacing. The objective function of the top-level programming model is to minimize the total cost incurred to passenger and bus operators while for the lower level, the problem of bus traffic assignment is addressed [26][27][28][29]. To minimize the total residence time at stops and the number of bus stops required for efficient operations, a bi-objective optimization model has been proposed by Chen et al; furthermore, the issues of stop congestion and its effect on road traffic flow has also been considered in the model.…”

Section: Overview Of Solutionsmentioning

confidence: 99%

A Bi-Level Programming Model for Optimal Bus Stop Spacing of a Bus Rapid Transit System

2019

View full text Add to dashboard Cite

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.

show abstract

“…We believe that it is significant for a public transport service, especially for a community shuttle service, to ensure that no passenger is connected to a bus stop further away than the maximum walking distance. Chen et al [27] select the optimal stops from candidate stops along bus routes and the bus routes are given as inputs. This may not be valid if planners hope to make bus stop plans from scratch or radically different plans from the existing one.…”

Section: Stop Locationmentioning

confidence: 99%

“…This may not be valid if planners hope to make bus stop plans from scratch or radically different plans from the existing one. For stop location, the most similar to our model is Jahani et al [28], who propose a multi-objective bus stop location model to determine the optimal stop locations and the match situation of demand points to stops. Their numerical cases show that the model can generate sensible stop results.…”

Section: Stop Locationmentioning

confidence: 99%

Integrated Optimization of Stop Location and Route Design for Community Shuttle Service

Guo

Song

et al. 2018

Symmetry

View full text Add to dashboard Cite

The community shuttle system plays an important role in serving communities with a heavy travel demand for the metro service. Stop location and route design are the two main decisions of planning a community shuttle service. Those two decisions are interrelated and interact, and are strongly related to the user cost and operating cost. The optimal stop location and route can help to reduce the walking distance of passengers and the route length. To make a trade-off between the walking distance of passengers and route length, we propose a discrete optimization problem. A single integrated formulation is established to optimize stop location and route design. Planners can decide the stop location and route design of the community shuttle system simultaneously based on this formulation. Then, we present a non-dominated sorting genetic (NSGA-II) based algorithm to obtain the non-dominated solutions of the discrete optimization formulation. The numerical experiments and a case study based on real-world data are used to demonstrate that the proposed solution method can yield a set of plans of stop location and route in a reasonable time. We also find that when the maximum tolerable walking distance is set to 418 m, the trade-off between the total walking distance of passengers and route length can be obtained.

show abstract

Network-level Optimization of Bus Stop Placement in Urban Areas

Cited by 13 publications

References 42 publications

Optimization Method for Conventional Bus Stop Placement and the Bus Line Network Based on the Voronoi Diagram

Optimization Method for Conventional Bus Stop Placement and the Bus Line Network Based on the Voronoi Diagram

A Bi-Level Programming Model for Optimal Bus Stop Spacing of a Bus Rapid Transit System

Integrated Optimization of Stop Location and Route Design for Community Shuttle Service

Contact Info

Product

Resources

About