多项式logistic回归
大都市区
环境经济学
过程(计算)
业务
服务(商务)
独创性
离散选择
整数规划
距离衰减
计算机科学
运筹学
环境资源管理
计量经济学
环境科学
经济
营销
地理
数学
创造力
法学
考古
算法
政治学
机器学习
经济地理学
操作系统
作者
Marcel Peppel,Stefan Spinler
出处
期刊:International Journal of Physical Distribution & Logistics Management
[Emerald (MCB UP)]
日期:2022-05-02
卷期号:52 (4): 324-350
被引量:11
标识
DOI:10.1108/ijpdlm-07-2021-0287
摘要
Purpose Last-mile delivery is associated with a negative environmental impact and high costs. The purpose of this paper is to develop an approach to designing stationary parcel locker (SPL) networks while minimizing both CO 2 equivalent (CO 2 e) emissions and costs during delivery and pick-up. Design/methodology/approach This study uses a multinomial logit model to evaluate recipients' willingness to use SPLs based on their availability at home and travel distance. To determine optimal SPL locations, this study formulates a mixed-integer linear programming model. Findings The empirical study of different regional clusters reveals that optimal SPL locations can generate cost savings of up to 11.0%. SPLs have a positive impact on total CO 2 e emission savings in urban areas (i.e. up to 2.5%), but give rise to additional emissions (i.e. 4.6%) in less populated areas due to longer travel distances during the pick-up process. Originality/value This paper optimizes SPL locations and the ecological effect of SPLs by minimizing emissions and costs simultaneously. Furthermore, it extends existing discrete choice models by also including recipients' availability at home, increasing the accuracy of recipients' preferences. So far, the effect of SPLs has been studied for metropolitan areas only. A global logistics service provider shared a real dataset which allows us to study seven different regional clusters ranging from rural areas to large cities. Thus, this study contributes to the field of sustainable urban logistics.
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