Clustering railway passenger demand patterns from large-scale origin–destination data-Reference-Cited by-同舟云学术

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Clustering railway passenger demand patterns from large-scale origin–destination data

Published:2024-09 Issue: Volume:31 Page:100452
ISSN:2210-9706
Container-title:Journal of Rail Transport Planning & Management
language:en
Short-container-title:Journal of Rail Transport Planning & Management

Author:

van der Knaap Renate J.H.^ORCID,de Bruyn Menno,van Oort Niels^ORCID,Huisman Dennis,Goverde Rob M.P.^ORCID

Publisher

Elsevier BV

Reference32 articles.

1. Mining public transport user behavior from smart card data;Agard;IFAC Proc. Vol. (IFAC-PapersOnline),2006

2. The Demand for Public Transport: A Practical Guide;Balcombe,2004

3. FlowmapBlue;Boyandin,2019

4. Analyzing year-to-year changes in public transport passenger behaviour using smart card data;Briand;Transp. Res. C,2017

5. Een studie naar een vraagafhankelijke dienstregeling voor NS;De Bruyn,2021

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