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Exploring the structural characteristics of intra-urban shared freight network and their associations with socioeconomic status

Guo, Zijian ; Zhao, Pengxiang LU ; Senousi, Ahmad M. ; Liu, Xintao and Mansourian, Ali LU (2023) In Travel Behaviour and Society 32.
Abstract

In recent years, shared freight systems have emerged in many cities as a new modality of freight transportation. However, little attention has been paid to the impact of a city's socioeconomic status on the characteristics of a shared freight network. To fill this gap, in this study, the structural characteristics of an intra-urban shared freight network are measured from the perspective of complex networks, and the correlations between network structure and socioeconomic status are examined. A case study is conducted in Hong Kong using large amounts of GPS trajectory data for freight vehicles and socioeconomic data. The results show that socioeconomic variables such as population size, percentage of elderly residents, percentage of... (More)

In recent years, shared freight systems have emerged in many cities as a new modality of freight transportation. However, little attention has been paid to the impact of a city's socioeconomic status on the characteristics of a shared freight network. To fill this gap, in this study, the structural characteristics of an intra-urban shared freight network are measured from the perspective of complex networks, and the correlations between network structure and socioeconomic status are examined. A case study is conducted in Hong Kong using large amounts of GPS trajectory data for freight vehicles and socioeconomic data. The results show that socioeconomic variables such as population size, percentage of elderly residents, percentage of residents with a marital status classified as “other” (i.e., separated, widowed, or divorced), and percentage of residents employed in the tertiary sector have distinct correlations with the structural characteristics. These correlations display spatial non-stationarity. This research can potentially assist decision-makers in improving the operating efficiency of shared freight systems and the governance of digital freight transport.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Complex network, Geographically weighted regression, Shared freight transportation, Socioeconomic status
in
Travel Behaviour and Society
volume
32
article number
100576
publisher
Elsevier
external identifiers
  • scopus:85149296145
ISSN
2214-367X
DOI
10.1016/j.tbs.2023.100576
language
English
LU publication?
yes
additional info
Funding Information: This work was supported by the Research Institute for Land and Space (RILS) (Grant No. 1-CD7M) at the Hong Kong Polytechnic University, General Research Fund of Hong Kong (Grant No. 15204121), and National Natural Science Foundation of China (NSFC) (Grant No. 42171455). Publisher Copyright: © 2023 The Authors
id
dc827181-bbeb-435c-af55-fdf79f16546e
date added to LUP
2023-03-18 09:19:47
date last changed
2024-02-14 14:22:46
@article{dc827181-bbeb-435c-af55-fdf79f16546e,
  abstract     = {{<p>In recent years, shared freight systems have emerged in many cities as a new modality of freight transportation. However, little attention has been paid to the impact of a city's socioeconomic status on the characteristics of a shared freight network. To fill this gap, in this study, the structural characteristics of an intra-urban shared freight network are measured from the perspective of complex networks, and the correlations between network structure and socioeconomic status are examined. A case study is conducted in Hong Kong using large amounts of GPS trajectory data for freight vehicles and socioeconomic data. The results show that socioeconomic variables such as population size, percentage of elderly residents, percentage of residents with a marital status classified as “other” (i.e., separated, widowed, or divorced), and percentage of residents employed in the tertiary sector have distinct correlations with the structural characteristics. These correlations display spatial non-stationarity. This research can potentially assist decision-makers in improving the operating efficiency of shared freight systems and the governance of digital freight transport.</p>}},
  author       = {{Guo, Zijian and Zhao, Pengxiang and Senousi, Ahmad M. and Liu, Xintao and Mansourian, Ali}},
  issn         = {{2214-367X}},
  keywords     = {{Complex network; Geographically weighted regression; Shared freight transportation; Socioeconomic status}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Travel Behaviour and Society}},
  title        = {{Exploring the structural characteristics of intra-urban shared freight network and their associations with socioeconomic status}},
  url          = {{http://dx.doi.org/10.1016/j.tbs.2023.100576}},
  doi          = {{10.1016/j.tbs.2023.100576}},
  volume       = {{32}},
  year         = {{2023}},
}