A Two-Stage Urban Bus Stop Location Model

Moura, José Luis; Alonso, Borja; Ibeas, Ángel; Ruisánchez, Francisco José

doi:10.1007/s11067-011-9161-z

Cited by 24 publications

(16 citation statements)

References 15 publications

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“…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

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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.

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Section: Overview Of Solutionsmentioning

confidence: 99%

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

2019

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“…Some studies have been conducted on the stop location of a conventional bus system. Alonso et al [25] and Moura et al [26] use a bi-level optimization model to obtain optimal bus stop locations on a macroscopic scale. Their model considers user cost and operator cost; however, the maximum walking distance of passengers is ignored.…”

Section: Stop Locationmentioning

confidence: 99%

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

Guo

Song

et al. 2018

Symmetry

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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.

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“…Uno de éstos es el desarrollo de Moura et al (2012), quienes realizan una investigación que analiza la localización óptima de paraderos de transporte público a través de un modelo de dos etapas. En la primera etapa, los paraderos son localizados estratégicamente a nivel macroscópico a lo largo de todo el sistema de transporte público minimizando el costo social de dicha localización.…”

Section: Investigación Previaunclassified

Relocalización de paradas de transporte público para ser incorporado dentro planes de contingencia como resultado de la construcción de obras de mejora vial

Tapia¹,

Baeza²,

Arancibia³

et al. 2016

Libro De Actas CIT2016. XII Congreso De Ingeniería Del Transporte

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RESUMENLas paradas de transporte público (TP), tanto en su distribución como en su localización, son generalmente analizadas desde un punto de vista macroscópico, utilizando modelos analíticos para observar tanto una línea de buses, en particular, o la red de transporte público, en general. Sin embargo, la importancia y complejidad de lograr una buena operación de las paradas de transporte público y en particular lograr que éstas tengan una buena accesibilidad, requiere de un análisis más detallado.Actualmente no existen desarrollos metodológicos que solucionen este problema, menos aún en el caso de proyectos viales de mejora de la infraestructura urbana que implican una intervención importante de un sector de la ciudad, por lo que en este trabajo se propone una metodología de localización de paradas de transporte público que a través de un modelo matemático de optimización permita ubicar dichos paraderos provisorios a lo largo de las calles propuestas en un Plan de Desvíos de manera tal de optimizar la accesibilidad de los usuarios al transporte público.Esta metodología fue aplicada a un caso real de estudio en la intersección de las avenidas 5 de Abril -Esquina Blanca con Avenida Del Ferrocarril de Santiago, Chile, y los resultados muestran que se puede mantener y, en algunos casos, mejorar el nivel de servicio del transporte público desde el punto de vista de la accesibilidad al mismo. Por lo tanto, se demuestra la importancia y el aporte que esta metodología puede tener para mejorar la planificación de los Planes de Desvío por obras de mejoramiento vial al incorporar la variable accesibilidad al transporte público.

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A Two-Stage Urban Bus Stop Location Model

Cited by 24 publications

References 15 publications

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

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

Relocalización de paradas de transporte público para ser incorporado dentro planes de contingencia como resultado de la construcción de obras de mejora vial

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