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Comparison of apportionment methods for assigning trip data to rezoned traffic analysis zones: A case study of Toronto, Canada
The Canadian Geographer ( IF 1.482 ) Pub Date : 2021-02-01 , DOI: 10.1111/cag.12675
Hong Yao 1 , DongMei Chen 1
Affiliation  

Due to regional development impacts, existing traffic analysis zones may be rezoned. Apportioning data to new traffic analysis zones is essential to ensure data analysis consistency and comparability. The traditional method uses area to apportion data. This study introduces six methods in apportioning trip data, including the traditional method (M1); the residential land use counted method (M2); the population counted at the dissemination area (DA) level method (M3); the integrated method using both residential land use and the population in DAs (M4); the population counted at the dissemination block (DB) level method (M5); and the integrated method using both residential land use and the population in DBs (M6). These methods are demonstrated in the case of Toronto, Canada using trip data from 2001 and 2016. Results from the six methods are compared and analyzed using mapping, Getis-Ord Gi* hot-spot analysis, and the Wilcoxon signed-rank test. Our findings show that the traditional method and the population counted in DAs method are significantly different (p < 0.05) from the residential land use counted method and the integrated method using both residential land use and the population in DAs and the integrated method using both residential land use and the population in DBs. These results provide references for selecting appropriate apportionment methods, which is the basis for transportation planning and policymaking.

中文翻译:

将行程数据分配给重新分区的交通分析区的分配方法的比较:加拿大多伦多的案例研究

由于区域发展的影响,现有的交通分析区可能会被重新划分。将数据分配到新的流量分析区域对于确保数据分析的一致性和可比性至关重要。传统方法使用面积来分配数据。本研究介绍了六种出行数据分配方法,包括传统方法(M1);住宅用地计算方法(M2);以传播区(DA)级方法(M3)计算的人口数;使用住宅用地和开发区人口的综合方法(M4);以传播块 (DB) 级别方法 (M5) 计算的人口数;以及同时使用住宅土地利用和 DBs (M6) 中人口的综合方法。这些方法在加拿大多伦多的案例中使用 2001 年和 2016 年的旅行数据进行了演示。使用映射、Getis-Ord Gi* 热点分析和 Wilcoxon 符号秩检验比较和分析六种方法的结果。我们的研究结果表明,传统方法和 DAs 中的人口统计方法与住宅用地统计方法和使用住宅土地利用和 DAs 中的人口的综合方法以及使用住宅用地计算的综合方法有显着差异(p < 0.05)。 DBs 中的土地利用和人口。这些结果为选择合适的分摊方法提供了参考,是交通规划和决策的基础。05) 来自住宅用地统计法、DAs 中住宅用地与人口综合法、DBs 住宅用地与人口综合法。这些结果为选择合适的分摊方法提供了参考,是交通规划和决策的基础。05) 来自住宅用地统计法、DAs 中住宅用地与人口综合法、DBs 住宅用地与人口综合法。这些结果为选择合适的分摊方法提供了参考,是交通规划和决策的基础。
更新日期:2021-02-01
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