01334212

Component

https://doi.org/10.3141/2263-17

http://scholar.google.com...mehl&publication_year=2011

Spatial equity is an extremely important issue in both design of a new and redesign of an existing transit (and highway) network because it is concerned with the benefit distribution among transit (and highway) network users. This paper presents a bi-level optimization model—in which the spatial equity issue is explicitly considered for the first time—for solving the public transportation network redesign problem (PTNRP). The goal of the upper-level subprogram is to minimize total cost, including user cost, operator cost, and unsatisfied demand cost, for the studied bus transit network, subject to a variety of resource- and policy-related constraints. The lower-level subprogram is a user self-routing optimization problem in which all transit users try to find the transit route to minimize their own travel cost (or time) and number of transfers in the network. Then, a procedure for a genetic algorithm–based solution is developed to solve this PTNRP bi-level optimization model. Network experiments are conducted, and numerical results are described. Future research directions are also given.

01365004

11-0050

English

pp 151-162

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309223034

Print

Figures (5) ; References (40)

Bus transit; Costs; Genetic algorithms; Mathematical models; Minimization; Optimization; Public transit; Transfers; Travel time

Bilevel model; Network design problem; Redesign; Spatial equity analysis

Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB

Feb 17 2011 5:18PM

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• Day-to-Day Dynamic Model in Discrete–Continuum Transportation Networks
• Disaggregate Multimodal Travel Demand Modeling Based on Road Pricing and Access to Transit
• Distribution and Assignment of Compulsory and Discretionary Traffic
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• Methodology for Locating Link Count Sensors That Accounts for Reliability of Prior Estimates from Origin–Destination Matrices
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• New Gradient Approximation Method for Dynamic Origin–Destination Matrix Estimation on Congested Networks
• Select Zone Analysis for Traffic Impact Studies
• Time-Dependent Origin–Destination Demand Estimation: Challenges and Methods for Large-Scale Networks with Multiple Vehicle Classes
• Transit Stop-Level Origin–Destination Estimation Through Use of Transit Schedule and Automated Data Collection System
• Travel Speed Forecasting by Means of Continuous Conditional Random Fields
• Vulnerability Analysis of Transportation Network Under Scenarios of Sea Level Rise