TY - JOUR
T1 - A crowdsourced co-modality transportation system integrating passenger and freight
AU - Yang, Xuan
AU - Wu, Wei
AU - Huang, George Q.
N1 - Funding information:
The authors would like to acknowledge partial financial supports from funding sources, including the NSFC (71671116) and RGC TRS Project (T32-707-22-N).
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/10
Y1 - 2023/10
N2 - 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.
AB - 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.
KW - Co-modality transportation
KW - Crowdsourcing
KW - Parcel assignment
UR - http://www.scopus.com/inward/record.url?scp=85167972001&partnerID=8YFLogxK
U2 - 10.1016/j.aei.2023.102142
DO - 10.1016/j.aei.2023.102142
M3 - Journal article
AN - SCOPUS:85167972001
SN - 1474-0346
VL - 58
JO - Advanced Engineering Informatics
JF - Advanced Engineering Informatics
M1 - 102142
ER -