识别影响仓库租金价格的关键特征及其非线性关联:空间机器学习方法

IF 8.3 1区 工程技术 Q1 ECONOMICS
Nannan He , Sijing Liu , Jason Cao , Guoqi Li , Ming Jian
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引用次数: 0

摘要

仓库在货物运输中起着至关重要的作用,其定价策略影响着仓库的选址选择和相关的环境影响。虽然大多数公司租用存储空间,有限的研究已经检查了仓库租金价格(WRP)。此外,大多数研究假设WRP与其相关因素之间存在预先定义的关系。本研究将空间机器学习模型应用于上海仓库租赁数据,以检验其非线性关联。结果表明:影响WRP的主要因素包括仓库间的空间依赖性、仓库的位置和邻近属性以及仓库空间的楼层水平,而租赁和服务相关因素的影响最小;此外,空间依赖性导致市场分割,高租金仓库集中在中心城区和中心地区以外的物流园区和运输码头周围。此外,大多数主要相关性与WRP表现出不规则的非线性关系,这揭示了仓库定价机制,并为选址选择提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying the critical features influencing warehouse rental prices and their nonlinear associations: A spatial machine learning approach
Warehouses play a crucial role in freight transportation, and their pricing strategies affect warehouse location choices and associated environmental impacts. Although most firms rent storage spaces, limited studies have examined warehouse rental prices (WRP). Furthermore, most studies assume a pre-defined relationship between WRP and its correlates. This study applies spatial machine learning models to warehouse rental data in Shanghai to examine their nonlinear associations. The results show that the primary factors influencing WRP include spatial dependence among warehouses, location and neighborhood attributes, and the floor level of warehouse spaces, whereas lease and service-related factors contribute minimally. Moreover, spatial dependence leads to segmented markets, with high-rent warehouses clustering in the central urban area and around logistics parks and transportation terminals outside the central area. Additionally, most primary correlates exhibit irregular nonlinear relationships with WRP, which shed light on warehouse pricing mechanisms and provide guidance for location choices.
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来源期刊
CiteScore
16.20
自引率
16.00%
发文量
285
审稿时长
62 days
期刊介绍: Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management. Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.
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