Measuring Inequality of Access : Modeling Physical Remoteness in Nepal
Simple linear distances between origin and destination poorly describe travel in Nepal, where rugged terrain, underdeveloped transportation infrastructure, and diverse vegetation heavily influence favorable travel routes. In this context, expected...
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okr-10986-322182022-09-19T12:16:26Z Measuring Inequality of Access : Modeling Physical Remoteness in Nepal Banick, Robert Kawasoe, Yasuhiro CONNECTIVITY REMOTENESS SPATIAL DISPARITY INEQUALITY TRANSPORTATION INFRASTRUCTURE ACCESS TO SERVICES GEOGRAPHIC INFORMATION SYSTEM ACCESSIBILITY PUBLIC POLICY Simple linear distances between origin and destination poorly describe travel in Nepal, where rugged terrain, underdeveloped transportation infrastructure, and diverse vegetation heavily influence favorable travel routes. In this context, expected travel times explain more about the remoteness of starting locations than geographic distance. Applied to service facilities, these time‐based measures of remoteness amount to measures of physical accessibility to services. However, traditional survey‐based measures of time suffer from problems of inaccurate reporting and standard survey error. Instead, this study built a geographic information system–based cost time model of travel that enables more accurate and generalizable assessment of accessibility. Having validated the generic model and compared it with other popular metrics, the study demonstrates its value by inputting a variety of services into it. This paper provides descriptive analyses of accessibility trends to these services at national, provincial, municipal, and geographic scales and suggests research possibilities unlocked by such a general purpose model. The paper concludes with thoughts for how the data and analysis, both freely available public goods, can enable additional research and better policy making. 2019-08-08T14:08:10Z 2019-08-08T14:08:10Z 2019-08 Report http://documents.worldbank.org/curated/en/798021565105014761/Measuring-Inequality-of-Access-Modeling-Physical-Remoteness-in-Nepal http://hdl.handle.net/10986/32218 English Policy Research Working Paper;No. 8966 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper South Asia Nepal |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English |
topic |
CONNECTIVITY REMOTENESS SPATIAL DISPARITY INEQUALITY TRANSPORTATION INFRASTRUCTURE ACCESS TO SERVICES GEOGRAPHIC INFORMATION SYSTEM ACCESSIBILITY PUBLIC POLICY |
spellingShingle |
CONNECTIVITY REMOTENESS SPATIAL DISPARITY INEQUALITY TRANSPORTATION INFRASTRUCTURE ACCESS TO SERVICES GEOGRAPHIC INFORMATION SYSTEM ACCESSIBILITY PUBLIC POLICY Banick, Robert Kawasoe, Yasuhiro Measuring Inequality of Access : Modeling Physical Remoteness in Nepal |
geographic_facet |
South Asia Nepal |
relation |
Policy Research Working Paper;No. 8966 |
description |
Simple linear distances between origin
and destination poorly describe travel in Nepal, where
rugged terrain, underdeveloped transportation
infrastructure, and diverse vegetation heavily influence
favorable travel routes. In this context, expected travel
times explain more about the remoteness of starting
locations than geographic distance. Applied to service
facilities, these time‐based measures of remoteness amount
to measures of physical accessibility to services. However,
traditional survey‐based measures of time suffer from
problems of inaccurate reporting and standard survey error.
Instead, this study built a geographic information
system–based cost time model of travel that enables more
accurate and generalizable assessment of accessibility.
Having validated the generic model and compared it with
other popular metrics, the study demonstrates its value by
inputting a variety of services into it. This paper provides
descriptive analyses of accessibility trends to these
services at national, provincial, municipal, and geographic
scales and suggests research possibilities unlocked by such
a general purpose model. The paper concludes with thoughts
for how the data and analysis, both freely available public
goods, can enable additional research and better policy making. |
format |
Report |
author |
Banick, Robert Kawasoe, Yasuhiro |
author_facet |
Banick, Robert Kawasoe, Yasuhiro |
author_sort |
Banick, Robert |
title |
Measuring Inequality of Access : Modeling Physical Remoteness in Nepal |
title_short |
Measuring Inequality of Access : Modeling Physical Remoteness in Nepal |
title_full |
Measuring Inequality of Access : Modeling Physical Remoteness in Nepal |
title_fullStr |
Measuring Inequality of Access : Modeling Physical Remoteness in Nepal |
title_full_unstemmed |
Measuring Inequality of Access : Modeling Physical Remoteness in Nepal |
title_sort |
measuring inequality of access : modeling physical remoteness in nepal |
publisher |
World Bank, Washington, DC |
publishDate |
2019 |
url |
http://documents.worldbank.org/curated/en/798021565105014761/Measuring-Inequality-of-Access-Modeling-Physical-Remoteness-in-Nepal http://hdl.handle.net/10986/32218 |
_version_ |
1764476057246760960 |