|
Title: Continuous Approximation for Assessing City Logistics Systems for Express Package Delivery
Accession Number: 01664143
Record Type: Component
Abstract: Urban areas pose many challenges to the operations of express courier companies. The efficiency and cost of operating are negatively impacted by urban congestion, compromised road design, and limited available space in the city centers. To overcome these constraints, increased attention has been paid to a variety of city logistics strategies. These strategies are innovative ways for courier companies to structure their urban freight distribution system to better adapt to the challenging conditions. This paper examines the concept of pack stations, mobile hubs and active modes of delivery. These three city logistic strategies are assessed with the context of an express courier company operating in the City of Toronto. The authors develop a model to replicate the distribution network and the inter-shipment flows of this express courier company, and using continuous approximation methods to optimize the costs and routes of the pick-up and delivery. The authors also demonstrate under what operating conditions will each city logistics strategies be practical and economical for the courier company. The methodology developed can be transferred to other express courier companies operating in different service areas by tailoring the parameters.
Supplemental Notes: This paper was sponsored by TRB committee AT025 Standing Committee on Urban Freight Transportation.
Report/Paper Numbers: 18-05460
Language: English
Authors: Nourinejad, MehdiDeng, PuyuanJahangiriesmaili, MahyarRoorda, Matthew JPagination: 4p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures
TRT Terms: Subject Areas: Freight Transportation; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-05460
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:23AM
|