"Joint Optimization of Zone Area and Headway for Demand Responsive Tran" by Lin Wang, Steven Chien et al.
 

Joint Optimization of Zone Area and Headway for Demand Responsive Transit Service under Heterogeneous Environment

Document Type

Article

Publication Date

7-1-2022

Abstract

This paper presents a mathematical model to optimize zonal demand responsive transit (DRT) considering heterogeneous environment (i.e., community boundary, land use, demand distribution, line-haul travel time, etc.) under the advent of Mobility-as-a-Service (MaaS). Since most previous models over-simplified conditions of the DRT service area, we propose a new modeling approach to formulate the operator and user costs. Passengers with varied expectations of vehicle arrival time at a drop-off location are considered. The average cost is minimized through optimizing service zone areas and associated headways subject to practical constraints (i.e., policy headway and vehicle capacity). A real-world region in the City of Calgary, Canada, is applied to demonstrate the applicability of the model. The impact of real-time vehicle arrival information to the optimal solution is assessed. The relationship between system parameters (i.e., line-haul travel time, demand density, vehicle capacity, and passenger composition, etc.) and the optimized solutions (i.e., zone area, headway, and costs) is explored through the sensitivity analysis.

Identifier

85129518952 (Scopus)

Publication Title

Ksce Journal of Civil Engineering

External Full Text Location

https://doi.org/10.1007/s12205-022-1269-9

e-ISSN

19763808

ISSN

12267988

First Page

3031

Last Page

3042

Issue

7

Volume

26

This document is currently not available here.

Share

COinS