Loading…

An interval fuzzy land-use allocation model (IFLAM) for Beijing in association with environmental and ecological consideration under uncertainty

In this study, an interval fuzzy land-use allocation method (IFLAM) is developed for the planning of urban land-use allocation system. The developed IFLAM method is based on interval parameter programming technique and fuzzy flexible programming, which could handle uncertainties expressed as interva...

Full description

Saved in:
Bibliographic Details
Published in:Quality & quantity 2015-11, Vol.49 (6), p.2269-2290
Main Authors: Zhou, Min, Tan, Shukui, Tao, Lizao, Zhu, Xiangbo, Akhmat, Ghulam
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c458t-c52b28331a5e15dbc1c7199bc0896754ddf98bd8df51d928cfb726f19ea8e2483
cites cdi_FETCH-LOGICAL-c458t-c52b28331a5e15dbc1c7199bc0896754ddf98bd8df51d928cfb726f19ea8e2483
container_end_page 2290
container_issue 6
container_start_page 2269
container_title Quality & quantity
container_volume 49
creator Zhou, Min
Tan, Shukui
Tao, Lizao
Zhu, Xiangbo
Akhmat, Ghulam
description In this study, an interval fuzzy land-use allocation method (IFLAM) is developed for the planning of urban land-use allocation system. The developed IFLAM method is based on interval parameter programming technique and fuzzy flexible programming, which could handle uncertainties expressed as interval values and fuzzy sets in the model’s left-and right-hand sides and objective function. A management problem for allocating land resources of Beijing, the capital of China, is studied to illustrate applicability of the proposed IFLAM approach. Results show that the optimized λ values (which means the satisfaction degree of all model constraints) are in the range of [0.67, 0.89], and the corresponding system benefit is between $ [534.03, 698.75] × 10 12 and $ [961.37, 1028.33]  × 10 12 while the optimized urban land in the first studying period will be [71905, 77894] ha in the Function Central Zone, [35219, 39711] ha in the Function Extended Zone, [22012, 30547] ha in the New Urban Zone and [17609, 22910] ha in the Eco-Conservation Zone. Results indicate that reasonable solutions have been generated under various environmental, ecological and social conditions. They can help decision makers to identify desired alternatives for making the utmost of land resources of Beijing and for providing services for urban land management decisions; moreover, they are helpful for land managers to gain insight into the tradeoff between economic objective and eco-environment violation risk.
doi_str_mv 10.1007/s11135-014-0108-6
format article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1732833315</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A739910400</galeid><sourcerecordid>A739910400</sourcerecordid><originalsourceid>FETCH-LOGICAL-c458t-c52b28331a5e15dbc1c7199bc0896754ddf98bd8df51d928cfb726f19ea8e2483</originalsourceid><addsrcrecordid>eNp1kcGOFCEQhonRxHH0AbyReFkPvULTNPRx3Li6yRgveiY0FCOTHlihe83sU_jI1qQ9GBNDoIB8_5-q_IS85uyaM6beVc65kA3jHW6mm_4J2XCpRKN0J5-SDWNCNJIr9Zy8qPXIEGKd2pBfu0RjmqE82ImG5fHxTCebfLNUoHaasrNzzImesoeJXt3d7nef39KQC30P8RjTAcXU1ppdXMGfcf5OIT3EktMJ0oyuaEfB5SkfosOny6lGD2Xll4RXPB2U2WIj55fkWbBThVd_6pZ8u_3w9eZTs__y8e5mt29cJ_XcONmOrRaCWwlc-tFxp_gwjI7poVey8z4MevTaB8n90GoXRtX2gQ9gNbSdFltytfrel_xjgTqbU6wOJpwe8lINV-LiL7hE9M0_6DEvJWF3SHE1KN13LVLXK3WwE5iYQp6Ldbg8nCIODSHi_06JYeCswzy2hK8CV3KtBYK5L_Fky9lwZi6hmjVUg6GaS6imR027aiqy6QDlr1b-K_oNAt6mCg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1717978642</pqid></control><display><type>article</type><title>An interval fuzzy land-use allocation model (IFLAM) for Beijing in association with environmental and ecological consideration under uncertainty</title><source>International Bibliography of the Social Sciences (IBSS)</source><source>ABI/INFORM global</source><source>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</source><source>Sociology Collection</source><source>Springer Link</source><source>Sociological Abstracts</source><creator>Zhou, Min ; Tan, Shukui ; Tao, Lizao ; Zhu, Xiangbo ; Akhmat, Ghulam</creator><creatorcontrib>Zhou, Min ; Tan, Shukui ; Tao, Lizao ; Zhu, Xiangbo ; Akhmat, Ghulam</creatorcontrib><description>In this study, an interval fuzzy land-use allocation method (IFLAM) is developed for the planning of urban land-use allocation system. The developed IFLAM method is based on interval parameter programming technique and fuzzy flexible programming, which could handle uncertainties expressed as interval values and fuzzy sets in the model’s left-and right-hand sides and objective function. A management problem for allocating land resources of Beijing, the capital of China, is studied to illustrate applicability of the proposed IFLAM approach. Results show that the optimized λ values (which means the satisfaction degree of all model constraints) are in the range of [0.67, 0.89], and the corresponding system benefit is between $ [534.03, 698.75] × 10 12 and $ [961.37, 1028.33]  × 10 12 while the optimized urban land in the first studying period will be [71905, 77894] ha in the Function Central Zone, [35219, 39711] ha in the Function Extended Zone, [22012, 30547] ha in the New Urban Zone and [17609, 22910] ha in the Eco-Conservation Zone. Results indicate that reasonable solutions have been generated under various environmental, ecological and social conditions. They can help decision makers to identify desired alternatives for making the utmost of land resources of Beijing and for providing services for urban land management decisions; moreover, they are helpful for land managers to gain insight into the tradeoff between economic objective and eco-environment violation risk.</description><identifier>ISSN: 0033-5177</identifier><identifier>EISSN: 1573-7845</identifier><identifier>DOI: 10.1007/s11135-014-0108-6</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Decision making ; Developing countries ; Ecology ; Economic development ; Economic models ; Economic statistics ; Economic theory ; Ecosystems ; Environmental economics ; Environmental law ; Environmental sustainability ; Fuzzy sets ; Geographic information systems ; Land use ; LDCs ; Linear programming ; Methodology of the Social Sciences ; Optimization ; Planning ; Resource allocation ; Social aspects ; Social Sciences ; Studies ; Urban areas ; Values</subject><ispartof>Quality &amp; quantity, 2015-11, Vol.49 (6), p.2269-2290</ispartof><rights>Springer Science+Business Media Dordrecht 2014</rights><rights>COPYRIGHT 2015 Springer</rights><rights>Springer Science+Business Media Dordrecht 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c458t-c52b28331a5e15dbc1c7199bc0896754ddf98bd8df51d928cfb726f19ea8e2483</citedby><cites>FETCH-LOGICAL-c458t-c52b28331a5e15dbc1c7199bc0896754ddf98bd8df51d928cfb726f19ea8e2483</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1717978642/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1717978642?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,12847,21394,21395,27344,27924,27925,33223,33611,33612,33774,34530,34531,36060,36061,43733,44115,44363,74221,74639,74895</link.rule.ids></links><search><creatorcontrib>Zhou, Min</creatorcontrib><creatorcontrib>Tan, Shukui</creatorcontrib><creatorcontrib>Tao, Lizao</creatorcontrib><creatorcontrib>Zhu, Xiangbo</creatorcontrib><creatorcontrib>Akhmat, Ghulam</creatorcontrib><title>An interval fuzzy land-use allocation model (IFLAM) for Beijing in association with environmental and ecological consideration under uncertainty</title><title>Quality &amp; quantity</title><addtitle>Qual Quant</addtitle><description>In this study, an interval fuzzy land-use allocation method (IFLAM) is developed for the planning of urban land-use allocation system. The developed IFLAM method is based on interval parameter programming technique and fuzzy flexible programming, which could handle uncertainties expressed as interval values and fuzzy sets in the model’s left-and right-hand sides and objective function. A management problem for allocating land resources of Beijing, the capital of China, is studied to illustrate applicability of the proposed IFLAM approach. Results show that the optimized λ values (which means the satisfaction degree of all model constraints) are in the range of [0.67, 0.89], and the corresponding system benefit is between $ [534.03, 698.75] × 10 12 and $ [961.37, 1028.33]  × 10 12 while the optimized urban land in the first studying period will be [71905, 77894] ha in the Function Central Zone, [35219, 39711] ha in the Function Extended Zone, [22012, 30547] ha in the New Urban Zone and [17609, 22910] ha in the Eco-Conservation Zone. Results indicate that reasonable solutions have been generated under various environmental, ecological and social conditions. They can help decision makers to identify desired alternatives for making the utmost of land resources of Beijing and for providing services for urban land management decisions; moreover, they are helpful for land managers to gain insight into the tradeoff between economic objective and eco-environment violation risk.</description><subject>Decision making</subject><subject>Developing countries</subject><subject>Ecology</subject><subject>Economic development</subject><subject>Economic models</subject><subject>Economic statistics</subject><subject>Economic theory</subject><subject>Ecosystems</subject><subject>Environmental economics</subject><subject>Environmental law</subject><subject>Environmental sustainability</subject><subject>Fuzzy sets</subject><subject>Geographic information systems</subject><subject>Land use</subject><subject>LDCs</subject><subject>Linear programming</subject><subject>Methodology of the Social Sciences</subject><subject>Optimization</subject><subject>Planning</subject><subject>Resource allocation</subject><subject>Social aspects</subject><subject>Social Sciences</subject><subject>Studies</subject><subject>Urban areas</subject><subject>Values</subject><issn>0033-5177</issn><issn>1573-7845</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><sourceid>ALSLI</sourceid><sourceid>BHHNA</sourceid><sourceid>HEHIP</sourceid><sourceid>M0C</sourceid><sourceid>M2R</sourceid><sourceid>M2S</sourceid><recordid>eNp1kcGOFCEQhonRxHH0AbyReFkPvULTNPRx3Li6yRgveiY0FCOTHlihe83sU_jI1qQ9GBNDoIB8_5-q_IS85uyaM6beVc65kA3jHW6mm_4J2XCpRKN0J5-SDWNCNJIr9Zy8qPXIEGKd2pBfu0RjmqE82ImG5fHxTCebfLNUoHaasrNzzImesoeJXt3d7nef39KQC30P8RjTAcXU1ppdXMGfcf5OIT3EktMJ0oyuaEfB5SkfosOny6lGD2Xll4RXPB2U2WIj55fkWbBThVd_6pZ8u_3w9eZTs__y8e5mt29cJ_XcONmOrRaCWwlc-tFxp_gwjI7poVey8z4MevTaB8n90GoXRtX2gQ9gNbSdFltytfrel_xjgTqbU6wOJpwe8lINV-LiL7hE9M0_6DEvJWF3SHE1KN13LVLXK3WwE5iYQp6Ldbg8nCIODSHi_06JYeCswzy2hK8CV3KtBYK5L_Fky9lwZi6hmjVUg6GaS6imR027aiqy6QDlr1b-K_oNAt6mCg</recordid><startdate>20151101</startdate><enddate>20151101</enddate><creator>Zhou, Min</creator><creator>Tan, Shukui</creator><creator>Tao, Lizao</creator><creator>Zhu, Xiangbo</creator><creator>Akhmat, Ghulam</creator><general>Springer Netherlands</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7U4</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88G</scope><scope>88J</scope><scope>8BJ</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHHNA</scope><scope>CCPQU</scope><scope>DWI</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HEHIP</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>M2M</scope><scope>M2O</scope><scope>M2R</scope><scope>M2S</scope><scope>MBDVC</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>WZK</scope><scope>7ST</scope><scope>7U1</scope><scope>7U2</scope><scope>7U6</scope><scope>C1K</scope></search><sort><creationdate>20151101</creationdate><title>An interval fuzzy land-use allocation model (IFLAM) for Beijing in association with environmental and ecological consideration under uncertainty</title><author>Zhou, Min ; Tan, Shukui ; Tao, Lizao ; Zhu, Xiangbo ; Akhmat, Ghulam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c458t-c52b28331a5e15dbc1c7199bc0896754ddf98bd8df51d928cfb726f19ea8e2483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Decision making</topic><topic>Developing countries</topic><topic>Ecology</topic><topic>Economic development</topic><topic>Economic models</topic><topic>Economic statistics</topic><topic>Economic theory</topic><topic>Ecosystems</topic><topic>Environmental economics</topic><topic>Environmental law</topic><topic>Environmental sustainability</topic><topic>Fuzzy sets</topic><topic>Geographic information systems</topic><topic>Land use</topic><topic>LDCs</topic><topic>Linear programming</topic><topic>Methodology of the Social Sciences</topic><topic>Optimization</topic><topic>Planning</topic><topic>Resource allocation</topic><topic>Social aspects</topic><topic>Social Sciences</topic><topic>Studies</topic><topic>Urban areas</topic><topic>Values</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Min</creatorcontrib><creatorcontrib>Tan, Shukui</creatorcontrib><creatorcontrib>Tao, Lizao</creatorcontrib><creatorcontrib>Zhu, Xiangbo</creatorcontrib><creatorcontrib>Akhmat, Ghulam</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Sociological Abstracts</collection><collection>ProQuest One Community College</collection><collection>Sociological Abstracts</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM global</collection><collection>Psychology Database</collection><collection>Research Library (ProQuest)</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Sociological Abstracts (Ovid)</collection><collection>Environment Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Quality &amp; quantity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Min</au><au>Tan, Shukui</au><au>Tao, Lizao</au><au>Zhu, Xiangbo</au><au>Akhmat, Ghulam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An interval fuzzy land-use allocation model (IFLAM) for Beijing in association with environmental and ecological consideration under uncertainty</atitle><jtitle>Quality &amp; quantity</jtitle><stitle>Qual Quant</stitle><date>2015-11-01</date><risdate>2015</risdate><volume>49</volume><issue>6</issue><spage>2269</spage><epage>2290</epage><pages>2269-2290</pages><issn>0033-5177</issn><eissn>1573-7845</eissn><abstract>In this study, an interval fuzzy land-use allocation method (IFLAM) is developed for the planning of urban land-use allocation system. The developed IFLAM method is based on interval parameter programming technique and fuzzy flexible programming, which could handle uncertainties expressed as interval values and fuzzy sets in the model’s left-and right-hand sides and objective function. A management problem for allocating land resources of Beijing, the capital of China, is studied to illustrate applicability of the proposed IFLAM approach. Results show that the optimized λ values (which means the satisfaction degree of all model constraints) are in the range of [0.67, 0.89], and the corresponding system benefit is between $ [534.03, 698.75] × 10 12 and $ [961.37, 1028.33]  × 10 12 while the optimized urban land in the first studying period will be [71905, 77894] ha in the Function Central Zone, [35219, 39711] ha in the Function Extended Zone, [22012, 30547] ha in the New Urban Zone and [17609, 22910] ha in the Eco-Conservation Zone. Results indicate that reasonable solutions have been generated under various environmental, ecological and social conditions. They can help decision makers to identify desired alternatives for making the utmost of land resources of Beijing and for providing services for urban land management decisions; moreover, they are helpful for land managers to gain insight into the tradeoff between economic objective and eco-environment violation risk.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11135-014-0108-6</doi><tpages>22</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0033-5177
ispartof Quality & quantity, 2015-11, Vol.49 (6), p.2269-2290
issn 0033-5177
1573-7845
language eng
recordid cdi_proquest_miscellaneous_1732833315
source International Bibliography of the Social Sciences (IBSS); ABI/INFORM global; Social Science Premium Collection (Proquest) (PQ_SDU_P3); Sociology Collection; Springer Link; Sociological Abstracts
subjects Decision making
Developing countries
Ecology
Economic development
Economic models
Economic statistics
Economic theory
Ecosystems
Environmental economics
Environmental law
Environmental sustainability
Fuzzy sets
Geographic information systems
Land use
LDCs
Linear programming
Methodology of the Social Sciences
Optimization
Planning
Resource allocation
Social aspects
Social Sciences
Studies
Urban areas
Values
title An interval fuzzy land-use allocation model (IFLAM) for Beijing in association with environmental and ecological consideration under uncertainty
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T01%3A37%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20interval%20fuzzy%20land-use%20allocation%20model%20(IFLAM)%20for%20Beijing%20in%20association%20with%20environmental%20and%20ecological%20consideration%20under%20uncertainty&rft.jtitle=Quality%20&%20quantity&rft.au=Zhou,%20Min&rft.date=2015-11-01&rft.volume=49&rft.issue=6&rft.spage=2269&rft.epage=2290&rft.pages=2269-2290&rft.issn=0033-5177&rft.eissn=1573-7845&rft_id=info:doi/10.1007/s11135-014-0108-6&rft_dat=%3Cgale_proqu%3EA739910400%3C/gale_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c458t-c52b28331a5e15dbc1c7199bc0896754ddf98bd8df51d928cfb726f19ea8e2483%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1717978642&rft_id=info:pmid/&rft_galeid=A739910400&rfr_iscdi=true