What influences the location choice of establishments? An analysis considering establishment types and activities interactions
What influences the location choice of establishments? An analysis considering establishment types and activities interactions
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DOI：
10.1016/j.jtrangeo.2023.103667
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发表时间：
2023-07
影响因子：
6.1
通讯作者：
A. Samani;Sabyasachee Mishra;M. Golias;David J. Lee
中科院分区：
文献类型：
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作者：
A. Samani;Sabyasachee Mishra;M. Golias;David J. Lee
多年来，对企业区位选择的研究受到的关注少于对住宅区位选择的研究。虽然已经作出了宝贵的努力，以模拟公司的位置选择，对较小的经济单位（企业）的位置选择和各种活动的位置决定因素之间的差异的调查，可以提供更好的洞察土地使用和运输网络之间的相互作用。本研究的目的是：第一，建立考虑北美工业分类系统（NAICS）部门的企业选址模型，并研究空间组成部分的影响;第二，评估企业选址决定因素在不同行业部门之间的差异;第三，评估不同企业选址之间的相互依赖性;第四，估计和比较不同活动的支付意愿，以获得更好的可达性。一个离散的选择模型被纳入到模型机构的位置偏好，其中首先，基于每个机构所选择的包裹，一组竞争性的替代品被生成，创建一个受约束的选择集，然后，使用多项logit模型估计的替代品的实际选择。所开发的模型是实施从美国田纳西州收集的数据。结果表明，空间位置的决定因素可以分为四类：可达性，邻里特征，办公室配置文件，和其他活动的存在。此外，集聚、土地价值、办公室面积、平方英尺和周围土地使用条件是最重要的区位决定因素。本研究之发现，可提供交通规划者有关设施位置、人口状况与交通网路间互动关系之重要资讯。
Over the years, research on firm location choice has received less attention than residential location choices. Although valuable efforts have been made to model firms' location choices, investigations on the location choice of smaller economic units (establishments) and differences between location determinants of various activities can provide better insights into the interaction between land use and transportation network. This study aims to, first, model the location choice of establishments considering the North American Industrial Classification System (NAICS) sectors and examine the impact of spatial components; second, evaluate how the location determinants of establishments vary across industry sectors; third, assess the interdependence between different establishments' location choices; and fourth, estimate and compare the Willingness to Pay of different activities for better accessibility. A discrete choice model is incorporated to model establishments' location preferences, where first, based on the selected parcel by each establishment, a set of competitive alternatives are generated, creating a constrained choice set, and then, the actual choice of an alternative is estimated using a multinomial logit model. The developed model is implemented on the data collected from the state of Tennessee, USA. Results suggested that spatial location determinants can be categorized into four categories: accessibility, neighborhood characteristics, office profile, and presence of other activities. Moreover, agglomeration, land value, office size, square feet, and surrounding land use conditions are the most important location determinants. The finding of this study provides valuable information to transportation planners on interactions between establishments' locations, demographic conditions, and transportation networks.