Exploring the structural characteristics of intra-urban shared freight network and their associations with socioeconomic status
(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.
(Less)
- author
- Guo, Zijian ; Zhao, Pengxiang LU ; Senousi, Ahmad M. ; Liu, Xintao and Mansourian, Ali LU
- organization
- publishing date
- 2023-07
- 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
- 2024-05-27 14:39:06
@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}}, }