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Improved accessibil...
Improved accessibility modeling and its relation to poverty - A case study in Southern Sri Lanka
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- Ahlström, Anders (författare)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
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- Pilesjö, Petter (författare)
- Lund University,Lunds universitet,Centrum för geografiska informationssystem (GIS-centrum),Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Centrum för Mellanösternstudier (CMES),Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,Centre for Geographical Information Systems (GIS Centre),Dept of Physical Geography and Ecosystem Science,Faculty of Science,Centre for Advanced Middle Eastern Studies (CMES),Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences
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- Lindberg, Jonas, 1973 (författare)
- Gothenburg University,Göteborgs universitet,University of Gothenburg,Institutionen för kulturgeografi och ekonomisk geografi,Department of Human and Economic Geography
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(creator_code:org_t)
- Elsevier BV, 2011
- 2011
- Engelska.
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Ingår i: Habitat International. - : Elsevier BV. - 0197-3975. ; 35:2, s. 316-326
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Many studies have found close relationships between accessibility and various socio-economic indicators. Yet, since accessibility tends to have differentiated effects, both socially and spatially, there is a need for a model which allows for a disaggregated analysis of accessibility. The model should be possible to use in areas where road network data is incomplete. In this paper such an accessibility model is developed, using a raster-based approach in a Geographical Information System (GIS). One important factor in accessibility modeling is to estimate the traveling speed on different landscape entities. This paper develops a method where local knowledge and physical geographical data are integrated in the GIS model. From the interview data the best door-to-door traveling speeds of three road classes were estimated. The results from these calculations have been used as frictions for a cost surface. The analysis shows strong relationships between poverty indicators and estimated spatial accessibility, stronger than the commonly used accessibility measure of Euclidian distance. (C) 2010 Elsevier Ltd. All rights reserved.
Ämnesord
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)
- SAMHÄLLSVETENSKAP -- Social och ekonomisk geografi -- Kulturgeografi (hsv//swe)
- SOCIAL SCIENCES -- Social and Economic Geography -- Human Geography (hsv//eng)
Nyckelord
- GIS
- Accessibility
- Sri Lanka
- Poverty
- GIS; Accessibility; Sri Lanka; Poverty
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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