2020
DOI: 10.1016/j.jtrangeo.2019.102564
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Comparing distance, time, and metabolic energy cost functions for walking accessibility in infrastructure-poor regions

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Cited by 27 publications
(13 citation statements)
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“…System-wide accessibility declines with higher values of δ : as more households are serviced, congestion grows and the level of service declines, although this happens at a declining rate. We are not aware of any research that explains how long people are expected to travel for food banks, but we note that in developing countries, accessible sources of drinking water are those that can be reached in less than 30 min (round trip, see UNICEF-WHO, 2019 ; Páez et al, 2020 ). There is no reason why people in affluent countries should be expected to spend more time travelling for a basic necessity such as food.…”
Section: Resultsmentioning
confidence: 99%
“…System-wide accessibility declines with higher values of δ : as more households are serviced, congestion grows and the level of service declines, although this happens at a declining rate. We are not aware of any research that explains how long people are expected to travel for food banks, but we note that in developing countries, accessible sources of drinking water are those that can be reached in less than 30 min (round trip, see UNICEF-WHO, 2019 ; Páez et al, 2020 ). There is no reason why people in affluent countries should be expected to spend more time travelling for a basic necessity such as food.…”
Section: Resultsmentioning
confidence: 99%
“…These edge areas were extracted in R using the 'Extent' function to select 1 km wide rectangular strips along the four edges of each sample unit [87]. Following this, using the 'spsample' function ('sp' package), random goal and origin points were generated within these 1 km long and 10 km wide strips [111][112][113]. Applying separate loops for north to south LCPs and east to west LCPs, this process was repeated 1000 times for each orientation and sample unit to obtain meaningful results (see S2 File for R code).…”
Section: Cost Of Movementmentioning
confidence: 99%
“…Except for the representation of inaccessible areas (game reserves, large rivers, and dams), Tanser, Gijsbertsen, and Herbst [20] considered any other land use category equally. Paes et al who used Tobler's hiking for cost functions for walking accessibility in infrastructure-poor regions, conclude their article with the prospect of including horizontal costs: 'It would also be interesting to examine the impact on accessibility of different land cover types, including the presence of potential barriers that must be crossed or circumvented (e.g., wetlands) or facilitators to travel (e.g., dirt trails or tracks on the terrain)' [21] (p. 10). Most studies that have investigated the ease and difficulty to traverse various land cover classes have done so by coding each raster cell with values ranging from 1 to 5 representing the speed (in km/h) to traverse that pixel (e.g., [19]).…”
Section: Measuring Accessibilitymentioning
confidence: 99%