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GIS-based fuzzy method for urban planning. / Arefiev, Nikolay; Terleev, Vitaly; Badenko, Vladimir.

In: Procedia Engineering, Vol. 117, No. 1, 2015, p. 39-44.

Research output: Contribution to journal › Article › peer-review

Harvard

Arefiev, N, Terleev, V & Badenko, V 2015, 'GIS-based fuzzy method for urban planning', Procedia Engineering, vol. 117, no. 1, pp. 39-44. https://doi.org/10.1016/j.proeng.2015.08.121

APA

Arefiev, N., Terleev, V., & Badenko, V. (2015). GIS-based fuzzy method for urban planning. Procedia Engineering, 117(1), 39-44. https://doi.org/10.1016/j.proeng.2015.08.121

Vancouver

Arefiev N, Terleev V, Badenko V. GIS-based fuzzy method for urban planning. Procedia Engineering. 2015;117(1):39-44. https://doi.org/10.1016/j.proeng.2015.08.121

Author

Arefiev, Nikolay ; Terleev, Vitaly ; Badenko, Vladimir. / GIS-based fuzzy method for urban planning. In: Procedia Engineering. 2015 ; Vol. 117, No. 1. pp. 39-44.

BibTeX

@article{b3dd67df885f462cb04b735692ad2550,
title = "GIS-based fuzzy method for urban planning",
abstract = "Method for multiple assessments of land parcels on the base of fuzzy set theory integrated into geographic information systems (GIS) is developed. Numerical experiments for the application of the method in urban planning are carried out. Multiple assessments of land parcels in St.Petertsburg (Russia) suburbs is calculated and mapped. Complex evaluations of land parcels have been carried out by fuzzy model with the use of four criteria (technological, economical, ecological and social) for two special tasks: 1) ecological criterion is more important and 2) economical criterion is more significant. The results show the opportunity of the land parcels ranging for decision making support.",
keywords = "Fuzzy set theory, Geoinformation systems, Multiple land parcels assessment, Urban planning",
author = "Nikolay Arefiev and Vitaly Terleev and Vladimir Badenko",
year = "2015",
doi = "10.1016/j.proeng.2015.08.121",
language = "English",
volume = "117",
pages = "39--44",
journal = "Procedia Engineering",
issn = "1877-7058",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - GIS-based fuzzy method for urban planning

AU - Arefiev, Nikolay

AU - Terleev, Vitaly

AU - Badenko, Vladimir

PY - 2015

Y1 - 2015

N2 - Method for multiple assessments of land parcels on the base of fuzzy set theory integrated into geographic information systems (GIS) is developed. Numerical experiments for the application of the method in urban planning are carried out. Multiple assessments of land parcels in St.Petertsburg (Russia) suburbs is calculated and mapped. Complex evaluations of land parcels have been carried out by fuzzy model with the use of four criteria (technological, economical, ecological and social) for two special tasks: 1) ecological criterion is more important and 2) economical criterion is more significant. The results show the opportunity of the land parcels ranging for decision making support.

AB - Method for multiple assessments of land parcels on the base of fuzzy set theory integrated into geographic information systems (GIS) is developed. Numerical experiments for the application of the method in urban planning are carried out. Multiple assessments of land parcels in St.Petertsburg (Russia) suburbs is calculated and mapped. Complex evaluations of land parcels have been carried out by fuzzy model with the use of four criteria (technological, economical, ecological and social) for two special tasks: 1) ecological criterion is more important and 2) economical criterion is more significant. The results show the opportunity of the land parcels ranging for decision making support.

KW - Fuzzy set theory

KW - Geoinformation systems

KW - Multiple land parcels assessment

KW - Urban planning

UR - http://www.scopus.com/inward/record.url?scp=84941104903&partnerID=8YFLogxK

U2 - 10.1016/j.proeng.2015.08.121

DO - 10.1016/j.proeng.2015.08.121

M3 - Article

AN - SCOPUS:84941104903

VL - 117

SP - 39

EP - 44

JO - Procedia Engineering

JF - Procedia Engineering

SN - 1877-7058

IS - 1

ER -

ID: 9223666