際際滷shows by User: ShivaPokhrel / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ShivaPokhrel / Fri, 21 Jun 2019 16:04:01 GMT 際際滷Share feed for 際際滷shows by User: ShivaPokhrel Green space suitability evaluation for urban resilience converted /slideshow/green-space-suitability-evaluation-for-urban-resilience-converted/151120306 greenspacesuitabilityevaluationforurbanresilience-converted-190621160401
The Kathmandu Metropolitan City is one of the fastest growing capital cities around. Excessive unplanned urban growth in the city leads to negative impacts on urban environments, publics, and communities. Metropolitan administrators and planners have been facing with impenetrability in making available of green space due to the unplanned urban growth tendency. The paper evaluates suitable sites for urban green space development using the analytical hierarchy process (AHP) based multi-criteria analysis methods with geographical information systems (GIS). Various spatial datasets were obtained from several organizations and further processed on the GIS environment for suitable site evaluation. After the analytical hierarchy process of a pairwise comparison matrix was created and criteria weights were calculated for different factors. Variables taken for this study are school point data, health facility's location data, emergency service's locations, water bodies, emergency road network data, land use/land cover data, population data, distance to existing park, and slope. The unit of a study is a metropolitan city. Evaluations demonstrate the spatial distribution of different not suitable areas, less suitable , moderate suitable, and highly suitable area respectively, of the 4.47 %, 7.19 % of the area are high and moderate suitable area, while the largest area 78.87 % is less suitable and 9.47 % are not suitable for the development of green open space. This finding could contribute a planner for spatial planning of green space development in KMC. ]]>
The Kathmandu Metropolitan City is one of the fastest growing capital cities around. Excessive unplanned urban growth in the city leads to negative impacts on urban environments, publics, and communities. Metropolitan administrators and planners have been facing with impenetrability in making available of green space due to the unplanned urban growth tendency. The paper evaluates suitable sites for urban green space development using the analytical hierarchy process (AHP) based multi-criteria analysis methods with geographical information systems (GIS). Various spatial datasets were obtained from several organizations and further processed on the GIS environment for suitable site evaluation. After the analytical hierarchy process of a pairwise comparison matrix was created and criteria weights were calculated for different factors. Variables taken for this study are school point data, health facility's location data, emergency service's locations, water bodies, emergency road network data, land use/land cover data, population data, distance to existing park, and slope. The unit of a study is a metropolitan city. Evaluations demonstrate the spatial distribution of different not suitable areas, less suitable , moderate suitable, and highly suitable area respectively, of the 4.47 %, 7.19 % of the area are high and moderate suitable area, while the largest area 78.87 % is less suitable and 9.47 % are not suitable for the development of green open space. This finding could contribute a planner for spatial planning of green space development in KMC. ]]> Fri, 21 Jun 2019 16:04:01 GMT /slideshow/green-space-suitability-evaluation-for-urban-resilience-converted/151120306 ShivaPokhrel@slideshare.net(ShivaPokhrel) Green space suitability evaluation for urban resilience converted ShivaPokhrel The Kathmandu Metropolitan City is one of the fastest growing capital cities around. Excessive unplanned urban growth in the city leads to negative impacts on urban environments, publics, and communities. Metropolitan administrators and planners have been facing with impenetrability in making available of green space due to the unplanned urban growth tendency. The paper evaluates suitable sites for urban green space development using the analytical hierarchy process (AHP) based multi-criteria analysis methods with geographical information systems (GIS). Various spatial datasets were obtained from several organizations and further processed on the GIS environment for suitable site evaluation. After the analytical hierarchy process of a pairwise comparison matrix was created and criteria weights were calculated for different factors. Variables taken for this study are school point data, health facility's location data, emergency service's locations, water bodies, emergency road network data, land use/land cover data, population data, distance to existing park, and slope. The unit of a study is a metropolitan city. Evaluations demonstrate the spatial distribution of different not suitable areas, less suitable , moderate suitable, and highly suitable area respectively, of the 4.47 %, 7.19 % of the area are high and moderate suitable area, while the largest area 78.87 % is less suitable and 9.47 % are not suitable for the development of green open space. This finding could contribute a planner for spatial planning of green space development in KMC. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/greenspacesuitabilityevaluationforurbanresilience-converted-190621160401-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Kathmandu Metropolitan City is one of the fastest growing capital cities around. Excessive unplanned urban growth in the city leads to negative impacts on urban environments, publics, and communities. Metropolitan administrators and planners have been facing with impenetrability in making available of green space due to the unplanned urban growth tendency. The paper evaluates suitable sites for urban green space development using the analytical hierarchy process (AHP) based multi-criteria analysis methods with geographical information systems (GIS). Various spatial datasets were obtained from several organizations and further processed on the GIS environment for suitable site evaluation. After the analytical hierarchy process of a pairwise comparison matrix was created and criteria weights were calculated for different factors. Variables taken for this study are school point data, health facility&#39;s location data, emergency service&#39;s locations, water bodies, emergency road network data, land use/land cover data, population data, distance to existing park, and slope. The unit of a study is a metropolitan city. Evaluations demonstrate the spatial distribution of different not suitable areas, less suitable , moderate suitable, and highly suitable area respectively, of the 4.47 %, 7.19 % of the area are high and moderate suitable area, while the largest area 78.87 % is less suitable and 9.47 % are not suitable for the development of green open space. This finding could contribute a planner for spatial planning of green space development in KMC.
Green space suitability evaluation for urban resilience converted from Shiva Pokhrel
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