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Spatial analysis and relocation choice modeling of motor freight transportation and warehousing establishments.

机译：汽运和仓储场所的空间分析和搬迁选择建模。

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摘要

This dissertation consists of three consecutive studies of the motor freight transportation and warehousing industry, using the New York Metropolitan area as the case study. First, this research systematically explored the spatial distribution pattern or so-called the landscape of the motor freight transportation and warehousing establishments in the New York metropolitan area. It was compared with the landscapes of the industry in other five large metropolitan areas, namely Chicago (Illinois), Houston (Texas), Los Angeles (California), Miami (Florida), and Seattle (Washington). The resulting kernel density maps and the landscape metrics revealed that the landscape of the motor freight transportation and warehousing industry in New York is similar to the one in Houston, showing a uni-centered clustering pattern with the largest dense patch centered at the downtown. Other areas exhibit different patterns due to the different geographical boundaries, transportation network structures, and spatial distributions of major freight activity generators.;Furthermore, a clustering analysis was conducted to identify any possible trends of business agglomeration and to find out why. The Nearest Neighbor Ratio test was used to verify the existence of spatial clusters, followed by two separate clustering analyses for all establishments in the entire study area and the ones in the Manhattan area, the central business district of the area. As found, the establishments tend to cluster, particularly in the Manhattan area, to take advantage of the economies of scale. In addition, the analysis of the accessibility to transportation networks reveals that these establishments tend to be located close to highways and railroads. Moreover, the accessibility to major intermodal freight terminals (such as airports, seaports, railroad and highway terminals) were also analyzed to explore the impact of these terminals in affecting the spatial distribution pattern of the industry.;In addition to the aggregate analysis at the spatial and temporal levels, discrete choice models were developed to identify factors that may explain the relocation decisions of individual establishments. The modeling results identified eight significant factors that affect the relocation decisions, among which the size measure of a location alternative, the accessibility of it to the nearest highway ramp, accessibility to intermodal freight terminals, and the average sales volume of the transportation and warehousing industry have positive effects on the likelihood for an establishment to choose that location alternative, while the distance from the previous location to the location alternative, the labor cost of the location, and the sales volume of the establishment seem to discourage an establishment to relocate.;The findings and implications can be used as valuable inputs to better plan and manage freight terminals and urban distribution centers. In addition, the proposed methods can be integrated into freight demand forecasting to improve the state of the art in freight planning and travel demand forecasting. In terms of methodology, this research is among a very few explorations to introduce the spatial analysis and relocation choice behavior of the freight transportation industry to the freight travel demand forecasting practices.
机译：本文以纽约大都市区为案例，对汽车货运和仓储业进行了连续三项研究。首先，这项研究系统地探索了纽约都市区的空间分布模式或所谓的汽车货运和仓储设施的景观。它与其他五个大都市地区的行业景观进行了比较，分别是芝加哥（伊利诺伊州），休斯敦（德克萨斯州），洛杉矶（加利福尼亚州），迈阿密（佛罗里达州）和西雅图（华盛顿州）。生成的内核密度图和景观度量标准表明，纽约的汽车货运和仓储行业的景观与休斯顿的景观相似，显示了一个单中心的群集模式，其中最大的密集区域位于市中心。其他地区由于地理边界，运输网络结构和主要货运活动产生者的空间分布的不同而呈现出不同的模式。此外，进行了聚类分析以发现任何可能的商业集聚趋势并找出原因。最近邻比率测试用于验证空间聚类的存在，然后对整个研究区域中的所有场所以及该区域的中央商务区曼哈顿的场所进行两次单独的聚类分析。如发现的那样，企业倾向于聚集，特别是在曼哈顿地区，以利用规模经济。此外，对交通网络可及性的分析表明，这些设施往往位于公路和铁路附近。此外，还分析了主要联运货运枢纽（如机场，海港，铁路和公路枢纽）的可及性，以探索这些枢纽对行业空间分布格局的影响。在空间和时间层面上，开发了离散选择模型以识别可以解释各个机构的搬迁决定的因素。建模结果确定了影响搬迁决定的八个重要因素，其中包括位置选择的规模度量，距离最近的高速公路坡道的可达性，联运货运站的可达性以及运输和仓储行业的平均销售量对企业选择该位置替代方案的可能性具有积极影响，而从先前位置到该位置替代方案的距离，该位置的人工成本以及该企业的销售量似乎使该企业不愿迁移。研究结果和意义可以用作有价值的投入，以更好地规划和管理货运站和城市配送中心。另外，可以将所提出的方法集成到货运需求预测中，以改进货运计划和旅行需求预测的最新技术水平。在方法论上，本研究是将货运行业的空间分析和搬迁选择行为引入货运需求预测实践的极少探索之一。

著录项

  • 作者

    Tang, Shuai.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Engineering.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 88 p.
  • 总页数 88
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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