Access Weight Matrix: A Place and Mobility Infused Spatial Weight Matrix

IF 3.3 3区 地球科学 Q1 GEOGRAPHY
Fatemeh Janatabadi, Alireza Ermagun
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Abstract

This study introduces the Access Weight Matrix (AWM) to capture the spatial dependence of access across a geographical surface. AWM is a nonsymmetry, nonzero diagonal matrix with elements to be a function of (i) the spatial distribution of places, (ii) the number of places, and (iii) the travel-time threshold to reach places rather than distance, contiguity, or adjacency. AWM is tested and validated to examine the spatial dependence of transit access to employment opportunities in the City of Chicago. Three observations are noticed. First, the degree of spatial dependence between the access of geographical units is not necessarily proportional to their proximity and is better explained by AWM than traditional spatial weight matrices regardless of the travel-time threshold. Second, the time-dependence feature of AWM improves the accuracy of capturing spatial dependence, particularly in short travel-time thresholds. Third, near geographical units are not necessarily more related than distant geographical units even for access that is proved to be spatially highly correlated with neighboring units. With the increased ease of measuring access, research is expanding to explore the socioeconomic, demographic, and built-environment correlates of access. AWM can be employed in developing more accurate spatial econometrics models.

Abstract Image

通道权重矩阵:融入地点和流动性的空间权重矩阵
本研究引入了访问权重矩阵(AWM),以捕捉整个地理区域访问的空间依赖性。AWM 是一个非对称、非零对角矩阵,其元素是以下因素的函数:(i) 地方的空间分布;(ii) 地方的数量;(iii) 到达地方的旅行时间阈值,而不是距离、毗连性或相邻性。对 AWM 进行了测试和验证,以研究芝加哥市就业机会的公交可达性的空间依赖性。我们注意到三个观察结果。首先,地理单元之间的空间依赖程度并不一定与地理单元的邻近程度成正比,无论旅行时间阈值如何,AWM 都比传统的空间权重矩阵能更好地解释这一问题。其次,AWM 的时间依赖性特征提高了捕捉空间依赖性的准确性,尤其是在短旅行时间阈值的情况下。第三,即使是被证明与相邻单位在空间上高度相关的通达性,近地理单元也不一定比远地理单元更相关。随着交通流量测量的便利性不断提高,有关交通流量的社会经济、人口和建筑环境相关因素的研究也在不断扩大。可以利用 AWM 建立更准确的空间计量经济学模型。
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来源期刊
CiteScore
8.70
自引率
5.60%
发文量
40
期刊介绍: First in its specialty area and one of the most frequently cited publications in geography, Geographical Analysis has, since 1969, presented significant advances in geographical theory, model building, and quantitative methods to geographers and scholars in a wide spectrum of related fields. Traditionally, mathematical and nonmathematical articulations of geographical theory, and statements and discussions of the analytic paradigm are published in the journal. Spatial data analyses and spatial econometrics and statistics are strongly represented.
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