Bus stop network catchment analysis of integrated feeder service for public bus transit system - a case study of Ahmedabad City

2018 ◽  
Vol 7 (1) ◽  
pp. 80
Author(s):  
Manjurali I. Balya ◽  
Rakesh Kumar ◽  
Pradip J. Gundaliya
Keyword(s):  
Transit System ◽  
Bus Transit ◽  
Bus Stop ◽  
System A

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

Mathematics ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 625
Author(s):  
Cheng ◽  
Zhao ◽  
Zhang
Keyword(s):  
Programming Model ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Transit System ◽  
Bus Stop ◽  
Proposed Model ◽  
Level Model ◽  
Bus Stop Spacing ◽  
Stop Spacing

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.

Planning and Design Model for Transit Route Networks with Coordinated Operations

1998 ◽  
Vol 1623 (1) ◽  
pp. 16-23 ◽  
Author(s):  
Mao-Chang Shih ◽  
Hani S. Mahmassani ◽  
M. Hadi Baaj
Keyword(s):  
Selection Procedure ◽  
Transit System ◽  
Transit Systems ◽  
Transit Networks ◽  
Bus Transit ◽  
Planning And Design ◽  
Assignment Model ◽  
Route Coordination ◽  
Vehicle Size

A heuristic model is presented for the design of bus transit networks with coordinated operations. Different from past solution methodologies focusing on conventional uncoordinated transit systems, this model addresses the design of transit networks with coordinated operations, using a transit center concept and incorporating a trip assignment model explicitly developed for coordinated (timed-transfer) systems. In addition, this model determines the appropriate vehicle size for each bus route and incorporates demand-responsive capabilities to meet demand that cannot be served effectely by fixed-route, fixed-schedule services. This model is composed of four major procedures: ( a) a route generation procedure (RGP), which constructs the transit network around the transit center concept; ( b) a network analysis procedure, which incorporates a trip assignment model (for both coordinated and uncoordinated operations) and a frequency-setting and vehicle-sizing procedure; ( c) a transit center selection procedure, which identifies the suitable transit centers for route coordination; and ( d) a network improvement procedure, which improves on the set of routes generated by the RGP. The model is demonstrated via a case-study application to data generated from the existing transit system in Austin, Texas.

Sign in / Sign up

Export Citation Format

Share Document