Investigating night shift workers’ commuting patterns using passive mobility data

Author:

Lim SunghoORCID,Ahn HaesungORCID,Shin SeungchulORCID,Lee Dongmin,Kim Yong Hoon

Funder

Korea Ministry of Science and ICT

Publisher

Elsevier BV

Reference51 articles.

1. Redefining activity types: who participates in which leisure activity?;Akar;Transp. Res. Part A Policy Pract.,2012

2. Origin-destination trips by purpose and time of day inferred from mobile phone data;Alexander;Transp. Res. Part C Emerg. Technol.,2015

3. Public transport trip purpose inference using smart card fare data;Alsger;Transp. Res. Part C Emerg. Technol.,2018

4. American Public Transportation Association. 2019. Supporting Late-Shift Workers: Their Transportation Needs and the Economy. Available at: https://www.apta.com/wp-content/uploads/APTA_Late-Shift_Report.pdf (Accessed: 08 February 2023).

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

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