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ISPRS Int. J. Geo-Inf. 2017, 6(9), 273; doi:10.3390/ijgi6090273

A Parcel-Level Model for Ranking and Allocating Urban Land-Uses

1
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1439957131, Iran
2
Faculty of Earth Sciences, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 4513766731, Iran
*
Author to whom correspondence should be addressed.
Received: 14 June 2017 / Revised: 3 August 2017 / Accepted: 21 August 2017 / Published: 31 August 2017
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Abstract

Urban land-use allocation is a complicated problem due to the variety of land-uses, a large number of parcels, and different stakeholders with diverse and conflicting interests. Various approaches and techniques have been proposed for the optimization of urban land-use allocation. The outputs of these approaches are almost optimum plans that suggest a unique, appropriate land-use for every land unit. However, because of some restrictions, such stakeholder opposition to a specific land-use or the high cost of land-use change, it is not possible for planners to propose a desirable land-use for each parcel. As a result, planners have to identify other priorities of the land-uses. Thus, ranking land-uses for parcels along with optimal land-use allocation could be advantageous in urban land-use planning. In this paper, a parcel-level model is presented for ranking and allocating urban land-uses. The proposed model benefits from the capabilities of geographic information systems (GIS), fuzzy calculations, and Multi-Criteria Decision-Making (MCDM) methods (fuzzy TOPSIS), intends to improve the capabilities of existing urban land-use planning support systems. In this model, as a first step, using fuzzy calculations and spatial analysis capabilities of GIS, quantitative and qualitative evaluation criteria are estimated based on physical characteristics of the parcels and their neighborhoods. In the second step, through the fuzzy TOPSIS method, urban land-uses are ranked for each of the urban land units. In the third step, using the proposed land-use allocation process and genetic algorithm, the efficiency of the model is evaluated in urban land-use optimal allocation. The proposed model is tested on spatial data of region 7, district 1 of Tehran. The implementation results demonstrate that, in the study area, the land-use of 77.2% of the parcels have first priority. As such, the land-use of 22.8% of the parcels do not have first priority, and are prone to change. View Full-Text
Keywords: urban land-use planning; planning support systems; fuzzy calculations; fuzzy TOPSIS urban land-use planning; planning support systems; fuzzy calculations; fuzzy TOPSIS
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Maleki, J.; Hakimpour, F.; Masoumi, Z. A Parcel-Level Model for Ranking and Allocating Urban Land-Uses. ISPRS Int. J. Geo-Inf. 2017, 6, 273.

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