Citation

Paez A, Anjum Z, Dickson-Anderson SE, Schuster-Wallace CJ, Martín Ramos B, Higgins CD. J. Transp. Geogr. 2020; 82: e102564.

Copyright

(Copyright © 2020, Elsevier Publishing)

DOI

10.1016/j.jtrangeo.2019.102564

PMID

unavailable

Abstract

Accessibility is a widely used concept in transportation planning and research. However a majority of the literature is concerned with accessibility in infrastructure-rich regions where it is used to assess the output of infrastructure. Relatively scant attention in contrast has been paid to the topic of accessibility in infrastructure-poor regions. These are regions characterized by non-homogeneous landscapes with limited or no transportation infrastructure. Even studies that deal with infrastructure-poor regions tend to transpose the methods used elsewhere. This practice seems inappropriate when mobility happens by active rather than motorized modes since the effort required for movement is likely different. The objective of this paper is to compare distance, time, and metabolic energy cost functions in walking accessibility. To this end, we present a case study of accessibility to water in central Kenya. The results indicate that Euclidean distance, surface distance, and travel time correlate better between them than any of them does with metabolic energy. Furthermore, while shortest paths tend to be symmetric for distance and time criteria, under consideration of metabolic energy expenditure pathways change significantly depending on the direction of movement. This has implications for measuring accessibility and equity. By providing alternate mechanisms for valuing the cost of movement, this research suggests avenues to consider vulnerable populations, such as pregnant women who require greater nutritional intake and expend more energy per unit activity. Directions for further research include certain trade-offs between route choice variables across various applications, for example, walking and cycling route choice algorithms.

Language: en

Keywords

Travel time; Water; Accessibility; Walking; Cost functions; Distance; Kenya; Infrastructure-poor regions; Metabolic energy; Tobler's hiking function