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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/3706
Title: Spatial Facility Management: A Step to Design Smart City
Authors: Gupta, Rajiv
Keywords: Civil Engineering
Image analysis
Visualization
Spatial analysis
Issue Date: 5-Nov-2018
Publisher: Springer
Abstract: Spatial facility management (SFM) intends to improve the flexibility of use, work productivity and capital profitability by the integration of planning, control and management of buildings, installations, facilities. In view of SPM, the chapter aims at the best use of a community’s land and resources for residential, commercial, institutional and recreational purposes. The problem of multi-criteria decision-making for targeted facilities (public transport routes, water supply lines, institutional, commercial, agricultural and residential zones, developing resources like rainwater harvesting scheme, self-sustaining energy efficiency services and protecting ecologically sensitive regions) will be handled with the help of genetic algorithm (GA). The first step towards the algorithm development is facility assessment for the study area location. The proposed community facilities are examined. The detailed spatial and attribute database have been generated with existing facility information which include current use of land for residential, business and community purposes, information on the location and capacity of streets, water and sewer lines, schools, libraries, and cultural and recreational sites. It also includes data on type of industries in the community, the characteristics of the population, employment and economic trends with the aid of satellite imagery and above-specified information, along with input from citizen’s advisory committees. Geographic information systems (GIS) are used to map land area, to overlay maps with geographic variables such as population density and to combine or manipulate geographic information to produce alternative plans for land use or development. Spatial data infrastructure has been developed at the end that will enable end-users, advisory committees and decision-makers to know that effectiveness of land-use schemes and replicate the same in other areas as well.
URI: https://link.springer.com/chapter/10.1007/978-981-13-2330-0_13
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3706
Appears in Collections:Department of Civil Engineering

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