An integrated multi-criteria decision analysis and optimization modeling approach to spatially operational road repair decisions
In this study, we developed a generic cost-effective approach for spatially explicit decision support involving the allocation of road repair treatments. The approach begins with an assessment of the existing road condition to identify the extent of environmental impacts and to determine road repair...
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| Veröffentlicht in: | Canadian journal of forest research 2021-03, Vol.51 (3), p.465-483 |
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| container_title | Canadian journal of forest research |
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| creator | Ezzati, Sättar Palma, Cristian D Bettinger, Pete Eriksson, Ljusk Ola Awasthi, Anjali |
| description | In this study, we developed a generic cost-effective approach for spatially explicit decision support involving the allocation of road repair treatments. The approach begins with an assessment of the existing road condition to identify the extent of environmental impacts and to determine road repair regimes in a subjective manner using group-decision making efforts. An integer programming model is then formulated by combining expert opinions with operational costs to guide repair schedules required for each road segment at the operational planning level. To demonstrate model performance, we applied it to a 400 km
2
landscape consisting of 289 km of paved roads in the mountainous region of the Hyrcanian forests in Iran. We assessed sensitivity of the inputs, such as weight verification, budgetary limitations, and rehabilitation weights. The results of the subjective analysis show that 76% of the roads analyzed in these forests must be prioritized to receive treatments as intended for logistical purposes. Incorporating the extent of environmental dimensions into operational costs allows us to generate an optimal tradeoff curve by selecting an appropriate treatment for segments of a road network. The approach demonstrated here can be used to design detailed alternative solutions for addressing spatially-informed road decisions under various terrain conditions. |
| doi_str_mv | 10.1139/cjfr-2020-0016 |
| format | Article |
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2
landscape consisting of 289 km of paved roads in the mountainous region of the Hyrcanian forests in Iran. We assessed sensitivity of the inputs, such as weight verification, budgetary limitations, and rehabilitation weights. The results of the subjective analysis show that 76% of the roads analyzed in these forests must be prioritized to receive treatments as intended for logistical purposes. Incorporating the extent of environmental dimensions into operational costs allows us to generate an optimal tradeoff curve by selecting an appropriate treatment for segments of a road network. The approach demonstrated here can be used to design detailed alternative solutions for addressing spatially-informed road decisions under various terrain conditions.</description><identifier>ISSN: 0045-5067</identifier><identifier>ISSN: 1208-6037</identifier><identifier>EISSN: 1208-6037</identifier><identifier>DOI: 10.1139/cjfr-2020-0016</identifier><language>eng</language><publisher>1840 Woodward Drive, Suite 1, Ottawa, ON K2C 0P7: NRC Research Press</publisher><subject>courbe de compromis ; Decision analysis ; Decision making ; décisions de nature spatiale ; Environmental aspects ; Environmental impact ; Environmental impact analysis ; environmental impacts ; Fins ; Forest roads ; Forest Science ; gestion des routes ; impacts environnementaux ; Infrastructure Engineering ; Infrastrukturteknik ; Integer programming ; Maintenance and repair ; Mathematical optimization ; Methods ; Mountain regions ; Multiple criterion ; Operating costs ; optimisation ; Optimization ; Rehabilitation ; road management ; Road repairing ; Roads ; Roads & highways ; Schedules ; Segments ; Skogsvetenskap ; spatial decisions ; Terrain ; tradeoff curve ; Transportation networks</subject><ispartof>Canadian journal of forest research, 2021-03, Vol.51 (3), p.465-483</ispartof><rights>COPYRIGHT 2021 NRC Research Press</rights><rights>2021 Published by NRC Research Press</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c548t-4629b94d96b40d5d1ab3db5d7e1dfc5dd57c7155f356c4f213ce0d54f1e4749b3</citedby><cites>FETCH-LOGICAL-c548t-4629b94d96b40d5d1ab3db5d7e1dfc5dd57c7155f356c4f213ce0d54f1e4749b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://res.slu.se/id/publ/111356$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Ezzati, Sättar</creatorcontrib><creatorcontrib>Palma, Cristian D</creatorcontrib><creatorcontrib>Bettinger, Pete</creatorcontrib><creatorcontrib>Eriksson, Ljusk Ola</creatorcontrib><creatorcontrib>Awasthi, Anjali</creatorcontrib><creatorcontrib>Sveriges lantbruksuniversitet</creatorcontrib><title>An integrated multi-criteria decision analysis and optimization modeling approach to spatially operational road repair decisions</title><title>Canadian journal of forest research</title><description>In this study, we developed a generic cost-effective approach for spatially explicit decision support involving the allocation of road repair treatments. The approach begins with an assessment of the existing road condition to identify the extent of environmental impacts and to determine road repair regimes in a subjective manner using group-decision making efforts. An integer programming model is then formulated by combining expert opinions with operational costs to guide repair schedules required for each road segment at the operational planning level. To demonstrate model performance, we applied it to a 400 km
2
landscape consisting of 289 km of paved roads in the mountainous region of the Hyrcanian forests in Iran. We assessed sensitivity of the inputs, such as weight verification, budgetary limitations, and rehabilitation weights. The results of the subjective analysis show that 76% of the roads analyzed in these forests must be prioritized to receive treatments as intended for logistical purposes. Incorporating the extent of environmental dimensions into operational costs allows us to generate an optimal tradeoff curve by selecting an appropriate treatment for segments of a road network. The approach demonstrated here can be used to design detailed alternative solutions for addressing spatially-informed road decisions under various terrain conditions.</description><subject>courbe de compromis</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>décisions de nature spatiale</subject><subject>Environmental aspects</subject><subject>Environmental impact</subject><subject>Environmental impact analysis</subject><subject>environmental impacts</subject><subject>Fins</subject><subject>Forest roads</subject><subject>Forest Science</subject><subject>gestion des routes</subject><subject>impacts environnementaux</subject><subject>Infrastructure Engineering</subject><subject>Infrastrukturteknik</subject><subject>Integer programming</subject><subject>Maintenance and repair</subject><subject>Mathematical optimization</subject><subject>Methods</subject><subject>Mountain regions</subject><subject>Multiple criterion</subject><subject>Operating costs</subject><subject>optimisation</subject><subject>Optimization</subject><subject>Rehabilitation</subject><subject>road management</subject><subject>Road repairing</subject><subject>Roads</subject><subject>Roads & highways</subject><subject>Schedules</subject><subject>Segments</subject><subject>Skogsvetenskap</subject><subject>spatial decisions</subject><subject>Terrain</subject><subject>tradeoff curve</subject><subject>Transportation networks</subject><issn>0045-5067</issn><issn>1208-6037</issn><issn>1208-6037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqVksuL1TAUxosoeB3dug66ctFr0jzaLi-Dj4FBwcc6pMlpJ5e06SQpel35p5t6h9ELF0SyOCHn933kHL6ieE7wlhDavtb7PpQVrnCJMREPig2pcFMKTOuHxQZjxkuORf24eBLjHmNMBcWb4uduQnZKMASVwKBxccmWOtgEwSpkQNto_YTUpNwh2pgvBvk52dH-UGntjN6As9OA1DwHr_QNSh7FOTeVc4fMQvgNKody26AAs7Lh3jk-LR71ykV4dlcviq9v33y5fF9ef3x3dbm7LjVnTSqZqNquZaYVHcOGG6I6ajpuaiCm19wYXuuacN5TLjTrK0I1ZI71BFjN2o5eFNujb_wG89LJOdhRhYP0ysrolk6FtcgIkuRtcpEFL4-CPNbtAjHJvV9CniPKirUtbZtKkD_UoBxIO_U-BaVHG7XcCc5x01DKMlWeoQaY8nKcn6C3-fmEf3GG17O9lX9D2zNQPgZGq8-6vjoRZCbB9zSoJUZ59fnTf7AfTtm7j-jgYwzQ3y-XYLlGU67RlGs05RrNLCBHwRR0gAgq6Jt_aX4BQcjmsw</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Ezzati, Sättar</creator><creator>Palma, Cristian D</creator><creator>Bettinger, Pete</creator><creator>Eriksson, Ljusk Ola</creator><creator>Awasthi, Anjali</creator><general>NRC Research Press</general><general>Canadian Science Publishing NRC Research Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>U9A</scope><scope>ADTPV</scope><scope>AOWAS</scope></search><sort><creationdate>20210301</creationdate><title>An integrated multi-criteria decision analysis and optimization modeling approach to spatially operational road repair decisions</title><author>Ezzati, Sättar ; Palma, Cristian D ; Bettinger, Pete ; Eriksson, Ljusk Ola ; Awasthi, Anjali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c548t-4629b94d96b40d5d1ab3db5d7e1dfc5dd57c7155f356c4f213ce0d54f1e4749b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>courbe de compromis</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>décisions de nature spatiale</topic><topic>Environmental aspects</topic><topic>Environmental impact</topic><topic>Environmental impact analysis</topic><topic>environmental impacts</topic><topic>Fins</topic><topic>Forest roads</topic><topic>Forest Science</topic><topic>gestion des routes</topic><topic>impacts environnementaux</topic><topic>Infrastructure Engineering</topic><topic>Infrastrukturteknik</topic><topic>Integer programming</topic><topic>Maintenance and repair</topic><topic>Mathematical optimization</topic><topic>Methods</topic><topic>Mountain regions</topic><topic>Multiple criterion</topic><topic>Operating costs</topic><topic>optimisation</topic><topic>Optimization</topic><topic>Rehabilitation</topic><topic>road management</topic><topic>Road repairing</topic><topic>Roads</topic><topic>Roads & highways</topic><topic>Schedules</topic><topic>Segments</topic><topic>Skogsvetenskap</topic><topic>spatial decisions</topic><topic>Terrain</topic><topic>tradeoff curve</topic><topic>Transportation networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ezzati, Sättar</creatorcontrib><creatorcontrib>Palma, Cristian D</creatorcontrib><creatorcontrib>Bettinger, Pete</creatorcontrib><creatorcontrib>Eriksson, Ljusk Ola</creatorcontrib><creatorcontrib>Awasthi, Anjali</creatorcontrib><creatorcontrib>Sveriges lantbruksuniversitet</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>SwePub</collection><collection>SwePub Articles</collection><jtitle>Canadian journal of forest research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ezzati, Sättar</au><au>Palma, Cristian D</au><au>Bettinger, Pete</au><au>Eriksson, Ljusk Ola</au><au>Awasthi, Anjali</au><aucorp>Sveriges lantbruksuniversitet</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An integrated multi-criteria decision analysis and optimization modeling approach to spatially operational road repair decisions</atitle><jtitle>Canadian journal of forest research</jtitle><date>2021-03-01</date><risdate>2021</risdate><volume>51</volume><issue>3</issue><spage>465</spage><epage>483</epage><pages>465-483</pages><issn>0045-5067</issn><issn>1208-6037</issn><eissn>1208-6037</eissn><abstract>In this study, we developed a generic cost-effective approach for spatially explicit decision support involving the allocation of road repair treatments. The approach begins with an assessment of the existing road condition to identify the extent of environmental impacts and to determine road repair regimes in a subjective manner using group-decision making efforts. An integer programming model is then formulated by combining expert opinions with operational costs to guide repair schedules required for each road segment at the operational planning level. To demonstrate model performance, we applied it to a 400 km
2
landscape consisting of 289 km of paved roads in the mountainous region of the Hyrcanian forests in Iran. We assessed sensitivity of the inputs, such as weight verification, budgetary limitations, and rehabilitation weights. The results of the subjective analysis show that 76% of the roads analyzed in these forests must be prioritized to receive treatments as intended for logistical purposes. Incorporating the extent of environmental dimensions into operational costs allows us to generate an optimal tradeoff curve by selecting an appropriate treatment for segments of a road network. The approach demonstrated here can be used to design detailed alternative solutions for addressing spatially-informed road decisions under various terrain conditions.</abstract><cop>1840 Woodward Drive, Suite 1, Ottawa, ON K2C 0P7</cop><pub>NRC Research Press</pub><doi>10.1139/cjfr-2020-0016</doi><tpages>19</tpages></addata></record> |
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| ispartof | Canadian journal of forest research, 2021-03, Vol.51 (3), p.465-483 |
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| subjects | courbe de compromis Decision analysis Decision making décisions de nature spatiale Environmental aspects Environmental impact Environmental impact analysis environmental impacts Fins Forest roads Forest Science gestion des routes impacts environnementaux Infrastructure Engineering Infrastrukturteknik Integer programming Maintenance and repair Mathematical optimization Methods Mountain regions Multiple criterion Operating costs optimisation Optimization Rehabilitation road management Road repairing Roads Roads & highways Schedules Segments Skogsvetenskap spatial decisions Terrain tradeoff curve Transportation networks |
| title | An integrated multi-criteria decision analysis and optimization modeling approach to spatially operational road repair decisions |
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