Path-Based Accessibility

Svante Berglund* Royal Institute of Technology

This paper explores the development of an accessibility measure based on daily travel patterns. In contrast to traditional zone-based measures, distance is calculated using a predefined travel matrix....

Figure 2 - Application Areas

Table 5 - Correlation of Accessibility Scores for Pharmacies in Stockholm

NOTE: The first two letters of the code in the "variable" column of tables 2 through 5 refer to the type of AM, where CU = cumulative opportunity and LS = logsum. Letters 3 and 4 refer to the opportunity...

Table 2 - Correlation of Accessibility Scores for Retail Trade in Jämtland

NOTE: The first two letters of the code in the "variable" column of tables 2 through 5 refer to the type of AM, where CU = cumulative opportunity and LS = logsum. Letters 3 and 4 refer to the...

Table 1 - Characteristics of the Application Areas

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Figure 7 - Mobility Pattern: Low Accessibility to Pharmacies (Men With Low Education) (56% commuters)

Table 6 - Moran's I for AMs Used by Gender and Education (L = low, I = intermediate, H = high)

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Table 3 - Correlation of Accessibility Scores for Pharmacies in Jämtland

NOTE: The first two letters of the code in the "variable" column of tables 2 through 5 refer to the type of AM, where CU = cumulative opportunity and LS = logsum. Letters 3 and 4 refer to the...

Figure 3 - Location of Pharmacies and Employment Within Retail Trade in Jämtland County

Figure 8 - Mobility Pattern: High Accessibility to Pharmacies (Men With High Education) (85% commuters)