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Designing freight traffic analysis zones for metropolitan areas: identification of optimal scale for macro-level freight travel analysis

机译:设计大都市区的货交通分析区:宏观级货运旅行分析的最佳规模

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This paper contributes to the emerging literature on freight studies by identifying the optimal freight traffic analysis zone (FTAZ) system at which to conduct macro-level freight travel analysis. To arrive at the optimal scale, we develop alternate zone systems by grouping census wards with similar freight-related characteristics (industrial characteristics, commercial land use characteristics, locational characteristics and socio-demographic characteristics). The resultant zone systems are analysed at multiple geographic scales and the optimal scale of each zone system is determined by performing the Brown-Forsythe test. Results suggest that a 1:3 aggregation ratio (24-28 zones) is the optimal scale for Metropolitan FTAZs, whereas the publicly available ad-hoc zone system and prior literature on National FTAZs follow 1:10 aggregation. The study findings suggest that Metropolitan planning organizations need to reconsider their existing data collection strategy, consider a larger aggregation ratio and, by extension, adopt smaller zones to ensure that both local and global freight travel characteristics are captured in freight travel analyses.
机译:本文通过确定开展宏观级货运旅行分析的最佳货量交通分析区(FTAZ)系统,有助于运输研究的新兴文献。要获得最佳规模,我们通过分组具有类似货运相关特征的人口普查(工业特征,商业土地利用特征,地点特征和社会人口特征)来开发备用区系统。在多个地理尺度上分析所得到的区域系统,通过执行棕色叉效测试来确定每个区域系统的最佳比例。结果表明,1:3聚合比(24-28区)是大都市FTAZS的最佳规模,而公开的临时区系统和国家FTAZS的先前文献遵循1:10汇总。研究结果表明,大都市规划组织需要重新考虑其现有的数据收集策略,考虑更大的聚合率,并通过延长采用较小的区域来确保在货运旅行分析中捕获本地和全球货运旅行特征。

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