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Title: Sustainable City Logistics: Managing Land Use Footprint of Last-Mile Freight Activities
Accession Number: 01661379
Record Type: Component
Abstract: The last-mile delivery in the urban logistics system is carried out using trucks and vans, contributing typical traffic-related problems such as congestion, idling and environmental emissions. Freight carriers are typically interested in minimization of the operation cost, irrespective of the footprints of resulting vehicle routes in the urban areas; whereas other city logistics stakeholders would like to improve on the living environment, especially in the residential land use areas. This research aims at reducing the environmental footprint of the freight deliveries in residential areas by a novel vehicle routing variant to address it, namely the vehicle routing and scheduling problem with soft time windows and land use (VRPSTW-LU). A case study based on the probe data of trucks of a commercial freight carrier in Osaka area has been used to demonstrate the effectiveness of the proposed model by comparing results with actual data and the classical vehicle routing model. The VRPSTW-LU was able to optimize the cost for the delivery routes simultaneously reducing the footprint of the delivery trucks in the residential areas. This added benefit was obtained at a very small cost increase as compared to the classical solution. Therefore, it can be used to demonstrate the win-win situation for all city logistics stakeholders.
Supplemental Notes: This paper was sponsored by TRB committee AT025 Standing Committee on Urban Freight Transportation.
Report/Paper Numbers: 18-04939
Language: English
Authors: Qureshi, Ali GTaniguchi, EiichiVu Phuong, MaiTeo, Joel S EPagination: 15p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Maps; References; Tables
TRT Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Environment; Freight Transportation; Highways; Operations and Traffic Management; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-04939
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:13AM
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