Discovering the origins of freight demand: An empirical investigation of spatial heterogeneity in the generation of heavy-duty truck trips

IF 6.3 2区 工程技术 Q1 ECONOMICS
Zhiwei Yang , Han Liu , Xiaohong Chen , Jun Zhou , Quan Yuan
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引用次数: 0

Abstract

In recent years, the environmental externalities of diesel truck activities on urban life have garnered increased attention. Therefore, many cities are exploring freight transportation infrastructure planning and management measures that minimize disruption to urban living spaces. However, progress remains limited due to an insufficient understanding of the driving factors behind truck travel demands within the city. To address this issue, this study focuses on the generation of heavy-duty truck trips and explores its spatial heterogeneity, which is of particular interest to multiple stakeholders seeking fine-grained freight traffic management. We used continuous trajectory data to extract heavy-duty truck trips and integrated multiple data sources to identify the driving factors behind urban heavy-duty truck trip generation. Results from statistical models revealed that the density of industrial, transshipping, and warehousing enterprises, along with freight hub accessibility, are influential factors in determining heavy-duty truck trip generation. Furthermore, we compared and analyzed heavy-duty truck trip generation intensity across different geographical zones and discovered that the generation intensity was unevenly distributed across space. We also found that the impact of resource processing and large logistics enterprise density on heavy-duty truck trip generation is spatially heterogeneous, with a weaker influence on producing and attracting heavy-duty truck trips in the urban core area. These findings can help local authorities in formulating fine-grained freight traffic management policies based on the freight trip generation mechanism to avoid imposing excessive burdens on logistics enterprises. This work also contributes to the development of sustainable urban freight service systems and help address the potential environmental and social issues arising from heavy-duty freight activities in suburban areas.
发现货运需求的起源:重卡出行产生的空间异质性实证研究
近年来,柴油卡车活动对城市生活的环境外部性引起了越来越多的关注。因此,许多城市正在探索货运基础设施的规划和管理措施,以尽量减少对城市生活空间的破坏。然而,由于对城市内卡车旅行需求背后的驱动因素了解不足,进展仍然有限。为了解决这一问题,本研究将重点放在重型卡车出行的产生上,并探讨其空间异质性,这对寻求细粒度货运交通管理的多方利益相关者特别感兴趣。我们使用连续轨迹数据提取重卡出行,并整合多个数据源来识别城市重卡出行产生背后的驱动因素。统计模型的结果表明,工业、转运和仓储企业的密度以及货运枢纽的可达性是决定重卡出行产生的影响因素。此外,我们还对不同地理区域的重卡出行生成强度进行了比较分析,发现生成强度在空间上分布不均匀。资源加工和大型物流企业密度对重卡出行产生的影响具有空间异质性,在城市核心区对重卡出行产生和吸引的影响较弱。这些研究结果可以帮助地方政府根据货运产生机制制定细粒度的货运管理政策,避免给物流企业带来过多的负担。这项工作还有助于发展可持续的城市货运服务系统,并有助于解决郊区重型货运活动所产生的潜在环境和社会问题。
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来源期刊
Transport Policy
Transport Policy Multiple-
CiteScore
12.10
自引率
10.30%
发文量
282
期刊介绍: Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.
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