Choice-driven service network design for an integrated fixed line and demand responsive mobility system-Reference-Cited by-同舟云学术

Choice-driven service network design for an integrated fixed line and demand responsive mobility system

Published:2022-12 Issue: Volume:166 Page:557-574
ISSN:0965-8564
Container-title:Transportation Research Part A: Policy and Practice
language:en
Short-container-title:Transportation Research Part A: Policy and Practice

Author:

Sharif Azadeh Shadi^ORCID,van der Zee J.,Wagenvoort M.^ORCID

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering,Business, Management and Accounting (miscellaneous),Aerospace Engineering

Reference36 articles.

1. Network design for a grid hybrid transit service;Aldaihani;Transp. Res. A,2004

2. The potential of demand-responsive transport as a complement to public transport: An assessment framework and an empirical evaluation;Alonso-González;Transp. Res. Rec.,2018

3. Amsterdam in Cijfers 2015;Amsterdam,2015

4. The concept and impact analysis of a flexible mobility on demand system;Atasoy;Transp. Res. C,2015

5. Designing robust routes for demand-responsive transport systems;Bruni;Transp. Res. E,2014

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