This research delves into the intricate spatial interplay between the siting of urban warehouses and accessibility within Fortaleza, Brazil, employing Multiscale Geographically Weighted Regression (MGWR) across varied Basic Spatial Units (BSUs). It unveils a nuanced relationship between the density of warehouses and accessibility, marked by significant variations across BSUs. The findings highlight distinct spatial distributions for large and small warehouses: large warehouses tend to aggregate near key transport arteries for strategic benefits, whereas small warehouses are more evenly dispersed throughout the city. The study accentuates the critical role of transportation, land use, temporal, and individual accessibility components in influencing warehouse density. These revelations are pivotal for shaping urban transport policies, indicating the need for finely calibrated, location-specific interventions to tackle the complexities introduced by warehouse locations on urban accessibility and operational efficiency. By shedding light on the nuanced spatial dynamics between warehouse locations and accessibility factors, this study paves the way for fostering more effective urban freight transport solutions, advocating for policies tailored to the unique demands and characteristics of urban environments.

中文翻译：

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解决城市交通地理学中的空间异质性和 MAUP：可达性和仓库位置的多尺度分析


本研究深入研究了巴西福塔雷萨市城市仓库选址与可达性之间错综复杂的空间相互作用，采用跨不同基本空间单元 （BSU） 的多尺度地理加权回归 （MGWR）。它揭示了仓库密度与可达性之间的微妙关系，其特点是 BSU 之间存在显著差异。研究结果突出了大型和小型仓库的不同空间分布：大型仓库倾向于聚集在关键运输干线附近以获得战略优势，而小型仓库则更均匀地分布在整个城市中。该研究强调了交通、土地利用、时间和单个可达性组成部分在影响仓库密度方面的关键作用。这些启示对于制定城市交通政策至关重要，表明需要精细校准、针对特定位置的干预措施，以解决仓库位置对城市可达性和运营效率带来的复杂性。通过阐明仓库位置和可达性因素之间的细微空间动态，本研究为培养更有效的城市货运解决方案铺平了道路，倡导针对城市环境的独特需求和特征制定政策。