Data-Driven Spatial Analysis of Urban Renewal. Network Kernel Density Estimation of Building Renovation

Correia, Ricardo Mendes; Guerreiro, Rosália; Brandão, Filipe Jorge da Silva

doi:10.1007/978-3-030-57509-0_17

Cited by 1 publication

(1 citation statement)

References 28 publications

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“…The spatial analytical tool of kernel density was also used for risk analysis of open dumping sites. However, Correia et al(2021) stated that kernel density is a more accurate tool for the analysis of urban area data.…”

Section: Methodsmentioning

confidence: 99%

Assessment of Spatial Distribution of Waste Bins in Karachi Through GIS Techniques

Afzal

Afsar

Lahori

et al. 2021

IJEEG

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Karachi has been facing various issues of municipal solid waste management. In the early 1960s, Karachi was the centre of leisure, now it has stretched out due to its increasing population. However, due to insufficient facilities and ineffective strategies, issues related to waste management are also increasing. For the problems related to waste management, the fundamental units available are municipal trash bins. In this study, 409 GPS point data of collection points of waste have been assembled from various areas of Karachi for assessment of the spatial distribution of waste bins. A spatial variation of distance between the trash bins is also identified through ArcGIS 10.3.1 cartography tool of generalization, which aggregates the points of trash bins by making polygon shape of the same distance. Globally, Geospatial techniques are used for changing the system of waste management. This is the first study that assessed the suitable distance of bins placement in the area under focus. The results revealed that there are no principles acquired by the government for the placement of trash bins with appropriate distance. In many towns of Karachi like Landhi and Korangi, bins are absent which impels people to throw their trash anywhere in the city

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Section: Methodsmentioning

confidence: 99%