Measuring Effectiveness of Metro-Based Underground Logistics System in Sustaining City Logistics Performance During Public Health Emergencies: A Case Study of Shanghai

城市物流 运输工程 交通管理 激励 人道主义后勤 公共交通 业务 服务(商务) 运营管理 环境经济学 工程类 过程管理 营销 经济 微观经济学
作者
Longlong Hou,Wanjie Hu,Yicun Chen,Jianjun Dong,Rui Ren,Zhilong Chen
出处
期刊:Transportation Research Record [SAGE Publishing]
卷期号:2678 (9): 724-748 被引量:5
标识
DOI:10.1177/03611981241230529
摘要

City logistics performance (CLP) is being increasingly challenged by public health emergencies and relevant mobility restriction policies. This paper introduces a novel urban contactless delivery measure incorporating the metro-based underground logistics system (M-ULS) and “Pandemic Thruport” (P-Thruport) concept to encounter logistics service failure during pandemic outbreaks. This solution is proposed to utilize the redundant public rail transit capacity to move goods efficiently and collectively from the outskirts to in-city customer destinations. To assess the effect of the proposed solution on CLP, two interacting system dynamics models are developed, where supply–demand relationships, logistics operation process, and CLP evaluation indicators (e.g., delivery time delay, costs, infection model, and underground logistics benefits) are comprised. The COVID-19 outbreaks in Shanghai City from March to May 2022, were taken as a case to evaluate the variation of CLP under four different scenarios associated with the dynamic implementation of M-ULS and the pandemic conditions. Results show that the new system is conducive to lowering the infection risks of logistics activities and improving urban freight transport efficiency. Compared with trucking mode, M-ULS’s advantages reflect in cost-saving and service capability. Moreover, the sustainable improvement of CLP can be achieved by balancing the operations of M-ULS and road-based logistics services through incentive policy adjustment.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
eve发布了新的文献求助10
1秒前
我还在路上完成签到,获得积分10
2秒前
Yzy发布了新的文献求助10
2秒前
路过完成签到 ,获得积分10
6秒前
帝蒼完成签到,获得积分10
7秒前
科研girl应助羡羡采纳,获得10
7秒前
TIANEO完成签到,获得积分10
7秒前
Zooey旎旎完成签到,获得积分10
7秒前
科研通AI2S应助Ethanyoyo0917采纳,获得20
11秒前
12秒前
13秒前
萝卜青菜完成签到 ,获得积分10
13秒前
研友_VZG7GZ应助虚幻幼翠采纳,获得10
14秒前
萂昕完成签到 ,获得积分10
15秒前
jamaisvu发布了新的文献求助10
15秒前
打野速度完成签到 ,获得积分10
17秒前
神勇的冰姬完成签到,获得积分10
17秒前
zywii发布了新的文献求助10
19秒前
22秒前
鱼与虎完成签到 ,获得积分10
23秒前
24秒前
科研通AI6.1应助xunoverflow采纳,获得10
25秒前
科研通AI6.2应助Blandwind采纳,获得10
25秒前
鱼与虎关注了科研通微信公众号
26秒前
陶醉雪枫发布了新的文献求助50
27秒前
Mao完成签到,获得积分10
28秒前
雷梦芝发布了新的文献求助10
28秒前
yhe完成签到,获得积分10
31秒前
32秒前
bkagyin应助frankyeah采纳,获得50
32秒前
不能当饭吃完成签到,获得积分10
32秒前
山水完成签到,获得积分10
33秒前
今天完成签到,获得积分10
35秒前
lllll1243完成签到,获得积分10
35秒前
mh完成签到,获得积分10
36秒前
雷梦芝完成签到,获得积分10
37秒前
wjm完成签到,获得积分10
38秒前
38秒前
CADEN完成签到,获得积分10
38秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359533
求助须知:如何正确求助?哪些是违规求助? 8173538
关于积分的说明 17214642
捐赠科研通 5414565
什么是DOI,文献DOI怎么找? 2865530
邀请新用户注册赠送积分活动 1842866
关于科研通互助平台的介绍 1691062