Leveraging joint distribution in urban express delivery to lessen environmental impacts: a case study

Author:

Hong Jiangtao,Zhan Chenlin,Lau Kwok Hung

Abstract

Purpose This paper aims to explore the use of joint distribution to reduce environmental cost of express delivery in urban logistics. Design/methodology/approach An optimization model was developed to help design the joint distribution network. A real case in Songjiang University Town of Shanghai, China, was used to explore empirically the potential benefit of the design. Performance of the proposed joint distribution was compared with that of the current distribution design using separate deliveries. Findings The findings show that, using joint distribution in express delivery, a significant saving in economic cost (up to a reduction of 25%) and environmental cost (up to a reduction of 87%) can be achieved. Research limitations/implications This study provides a reference for joint distribution network design for last-mile delivery in urban logistics. Practical implications Express delivery companies can explore the use of joint distribution to reduce operating cost and increase distribution efficiency of the industry. Social implications Joint distribution can facilitate maximization of vehicle utilization and reduction of delivery trips. This will help reduce fuel consumption, carbon emission, as well as other externalities, such as noise and traffic congestion. Originality/value Research in joint distribution to date focuses mainly on reduction in operating cost only. Consideration of environmental impact is relatively limited. This paper fills the gap in the literature by using a real case to illustrate the significant benefit of joint distribution in reducing the negative impact of urban logistics on the environment.

Publisher

Emerald

Subject

Strategy and Management,Business and International Management

Reference56 articles.

1. Developing environmentally sustainable logistics: exploring themes and challenges from a logistics service providers’ perspective;Transportation Research Part D: Transport and Environment,2016

2. Heuristic solutions for the vehicle routing problem with time windows and synchronized visits;Optimization Letters,2016

3. Bbtnews.com (2020), “Central economic work conference: China’s carbon dioxide emissions will reach a peak by 2030 and achieve carbon neutrality by 2060”, available at: www.bbtnews.com.cn/2020/1218/379969.shtml (accessed 18 December 2020).

4. Scheduling last-mile deliveries with truck-based autonomous robots;European Journal of Operational Research,2018

5. Carbon emissions comparison of last mile delivery versus customer pickup;International Journal of Logistics Research and Applications,2014

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3