A crowdsourced co-modality transportation system integrating passenger and freight

Xuan Yang, Wei Wu, George Q. Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Co-modality transportation aims to integrate passenger and freight flows into a single system by sharing public transport between passengers and freight. This paper proposes a crowdsourced co-modality transportation system (CCTS) for enhancing the practical implementation of co-modality transportation in urban areas. Firstly, empirical investigations are conducted, including semi-structured interviews with industry practitioners and online surveys with passengers, to collect system design considerations. Secondly, an overview of the crowdsourced co-modality management platform (CCMP) is presented by highlighting three key components: co-modality services, information infrastructure, and decision support system. Thirdly, we formulate the parcel assignment problem in the CCTS and examine the factors that influence the performance of the CCTS. The empirical investigations suggest that crowdsourced passengers care about the potential risks and the degree of operation difficulty in crowdsourced activities but do not care about privacy issues. In addition, the experimental studies show that crowdsourced co-modality is more feasible and promising if more passengers are willing to provide crowdsourcing services.

Original languageEnglish
Article number102142
Number of pages15
JournalAdvanced Engineering Informatics
Volume58
DOIs
Publication statusPublished - Oct 2023

Keywords

  • Co-modality transportation
  • Crowdsourcing
  • Parcel assignment

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence

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