Browsing by Author "Tanveer, Hashir"
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Item Geospatial Distribution and Accessibility of Primary and Secondary Schools: A case of Abbottabad City, Pakistan(Proceedings of the International Cartographic Association, 2019-07-27) Sumari, Neema S.; Tanveer, Hashir; Shao, Zhenfeng; Kira, Ernest SimonQuality education in isolated areas is a major issue in developing countries like Pakistan, as access to formal education is linked to improved life prospects for rural students. Among the factors for education, accessibility is school availability within a minimum spatial distance. The spatial distribution of schools is generally uneven in most of the cities of Northern Pakistan, thus limiting access to formal education at the primary and secondary level. This paper analyzes the spatial distribution of the primary and secondary schools found in the hilly terrain of Abbottabad city. Results show an uneven scattered pattern of schools and decreasing accessibility with longer travel times, at higher costs. Cost-weighted distance showed that this spatial distribution extends the travel distance by more than 5km for secondary school students living in the city. However, spatial restructuring and reorganization of schools in the study area would enhance student access to school facilities.Item Pattern analysis of substandard and inadequate distribution of educational resources in urban–rural areas of Abbottabad, Pakistan(GeoJournal, 2019-06-04) Tanveer, Hashir; Balz, Timo; Sumari, Neema S.; Shan, Rafi-usDespite an extensive system of public schools, Abbottabad, Pakistan has a chronically low literacy rate. A factor contributing to these low literacy rates might be a spatial mismatch between public schools and dense settlements in fast-growing urban and semi-urban areas of this municipal region. To test this proposition, the locations of 153 public schools were collected using hand-held GPS devices to create a geo-database, and a road network was created from the open street map and Google imagery. Nearest neighbor, K-function, Spearman’s Rho, and directional analyses were applied to this data to overcome the limitations of sparse geospatial data. A point pattern analysis shows that more than 50% of secondary schools were clustered south of the city while most of the built-up area was in the north. Localizing Geospatial data, spatial restructuring, and reorganization of schools in the study area would support rational planning and enhance student access to school facilities.