Design of a Bike–Bus Network for a City of Half a Million Citizens
Abstract This work develops a mathematical model for designing bikeway networks that integrate into public bus transport services in urban areas using concepts from network multiobjective optimization and mixed-integer linear programming (MILP). The proposed model maximizes 14 objectives and 14 cons...
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Veröffentlicht in: | Journal of urban planning and development 2021-09, Vol.147 (3) |
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creator | de Oliveira, Stefano P Luche, José Roberto D Marins, Fernando A. S da Silva, Aneirson F Costa, Antônio F. B |
description | Abstract
This work develops a mathematical model for designing bikeway networks that integrate into public bus transport services in urban areas using concepts from network multiobjective optimization and mixed-integer linear programming (MILP). The proposed model maximizes 14 objectives and 14 constraints by referring in a generalized way to lane comfort, safety, path objectivity, network connectivity, intermodality with bus service, and monetary budgets. In the context of a developing country, we believe that this model can address the transit network design problem (TNDP) as an innovative proposal for integration between alternative modes of transport and buses. A case study in Sao Jose dos Campos city, Sao Paulo state, Brazil, is conducted, and exact solutions are obtained with partially connected networks (first approach) and fully connected networks (second approach). A scenario analysis enables verification of the integrated transportation system performance and, for the case study, prioritizes the least expensive bikeway type. Therefore, the results from the proposed model can contribute to urban planning in testing alternative scenarios for bike–bus networks. |
doi_str_mv | 10.1061/(ASCE)UP.1943-5444.0000709 |
format | Article |
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This work develops a mathematical model for designing bikeway networks that integrate into public bus transport services in urban areas using concepts from network multiobjective optimization and mixed-integer linear programming (MILP). The proposed model maximizes 14 objectives and 14 constraints by referring in a generalized way to lane comfort, safety, path objectivity, network connectivity, intermodality with bus service, and monetary budgets. In the context of a developing country, we believe that this model can address the transit network design problem (TNDP) as an innovative proposal for integration between alternative modes of transport and buses. A case study in Sao Jose dos Campos city, Sao Paulo state, Brazil, is conducted, and exact solutions are obtained with partially connected networks (first approach) and fully connected networks (second approach). A scenario analysis enables verification of the integrated transportation system performance and, for the case study, prioritizes the least expensive bikeway type. Therefore, the results from the proposed model can contribute to urban planning in testing alternative scenarios for bike–bus networks.</description><identifier>ISSN: 0733-9488</identifier><identifier>EISSN: 1943-5444</identifier><identifier>DOI: 10.1061/(ASCE)UP.1943-5444.0000709</identifier><language>eng</language><publisher>New York: American Society of Civil Engineers</publisher><subject>Budgets ; Buses ; Case studies ; Constraint modelling ; Developing countries ; Exact solutions ; Integer programming ; LDCs ; Linear programming ; Mixed integer ; Multiple objective analysis ; Networks ; Optimization ; Technical Papers ; Transportation networks ; Transportation planning ; Transportation systems ; Urban areas ; Urban development ; Urban planning ; Verification</subject><ispartof>Journal of urban planning and development, 2021-09, Vol.147 (3)</ispartof><rights>2021 American Society of Civil Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a337t-e2e42c2dd05ec981d734efe4f99ef005f9a540d7560828015387f5167127db5b3</citedby><cites>FETCH-LOGICAL-a337t-e2e42c2dd05ec981d734efe4f99ef005f9a540d7560828015387f5167127db5b3</cites><orcidid>0000-0002-9057-239X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ascelibrary.org/doi/pdf/10.1061/(ASCE)UP.1943-5444.0000709$$EPDF$$P50$$Gasce$$H</linktopdf><linktohtml>$$Uhttp://ascelibrary.org/doi/abs/10.1061/(ASCE)UP.1943-5444.0000709$$EHTML$$P50$$Gasce$$H</linktohtml><link.rule.ids>314,780,784,27866,27924,27925,76193,76201</link.rule.ids></links><search><creatorcontrib>de Oliveira, Stefano P</creatorcontrib><creatorcontrib>Luche, José Roberto D</creatorcontrib><creatorcontrib>Marins, Fernando A. S</creatorcontrib><creatorcontrib>da Silva, Aneirson F</creatorcontrib><creatorcontrib>Costa, Antônio F. B</creatorcontrib><title>Design of a Bike–Bus Network for a City of Half a Million Citizens</title><title>Journal of urban planning and development</title><description>Abstract
This work develops a mathematical model for designing bikeway networks that integrate into public bus transport services in urban areas using concepts from network multiobjective optimization and mixed-integer linear programming (MILP). The proposed model maximizes 14 objectives and 14 constraints by referring in a generalized way to lane comfort, safety, path objectivity, network connectivity, intermodality with bus service, and monetary budgets. In the context of a developing country, we believe that this model can address the transit network design problem (TNDP) as an innovative proposal for integration between alternative modes of transport and buses. A case study in Sao Jose dos Campos city, Sao Paulo state, Brazil, is conducted, and exact solutions are obtained with partially connected networks (first approach) and fully connected networks (second approach). A scenario analysis enables verification of the integrated transportation system performance and, for the case study, prioritizes the least expensive bikeway type. Therefore, the results from the proposed model can contribute to urban planning in testing alternative scenarios for bike–bus networks.</description><subject>Budgets</subject><subject>Buses</subject><subject>Case studies</subject><subject>Constraint modelling</subject><subject>Developing countries</subject><subject>Exact solutions</subject><subject>Integer programming</subject><subject>LDCs</subject><subject>Linear programming</subject><subject>Mixed integer</subject><subject>Multiple objective analysis</subject><subject>Networks</subject><subject>Optimization</subject><subject>Technical Papers</subject><subject>Transportation networks</subject><subject>Transportation planning</subject><subject>Transportation systems</subject><subject>Urban areas</subject><subject>Urban development</subject><subject>Urban planning</subject><subject>Verification</subject><issn>0733-9488</issn><issn>1943-5444</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp1kEFOwzAQRS0EEqVwhwg2sEgZx3Zss2vTQpEKVIKuLTexUdqQFDsVKivuwA05CYlaYMVsRvrz_x_pIXSKoYchxpfn_cdkdDGb9rCkJGSU0h40w0Huoc6vto86wAkJJRXiEB15vwDAlAPpoOHQ-Py5DCob6GCQL83Xx-dg7YN7U79VbhnYyjWHJK83rWWsi9Z3lxdFXpWtnL-b0h-jA6sLb052u4tm16OnZBxOHm5uk_4k1ITwOjSRoVEaZRkwk0qBM06osYZaKY0FYFZqRiHjLAYRCcCMCG4ZjjmOeDZnc9JFZ9velate18bXalGtXdm8VBHDQshYCtq4rrau1FXeO2PVyuUv2m0UBtVSU6qlpmZT1RJSLSG1o9aE421Y-9T81f8k_w9-AylEb10</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>de Oliveira, Stefano P</creator><creator>Luche, José Roberto D</creator><creator>Marins, Fernando A. S</creator><creator>da Silva, Aneirson F</creator><creator>Costa, Antônio F. B</creator><general>American Society of Civil Engineers</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TQ</scope><scope>8FD</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-9057-239X</orcidid></search><sort><creationdate>20210901</creationdate><title>Design of a Bike–Bus Network for a City of Half a Million Citizens</title><author>de Oliveira, Stefano P ; Luche, José Roberto D ; Marins, Fernando A. S ; da Silva, Aneirson F ; Costa, Antônio F. B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a337t-e2e42c2dd05ec981d734efe4f99ef005f9a540d7560828015387f5167127db5b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Budgets</topic><topic>Buses</topic><topic>Case studies</topic><topic>Constraint modelling</topic><topic>Developing countries</topic><topic>Exact solutions</topic><topic>Integer programming</topic><topic>LDCs</topic><topic>Linear programming</topic><topic>Mixed integer</topic><topic>Multiple objective analysis</topic><topic>Networks</topic><topic>Optimization</topic><topic>Technical Papers</topic><topic>Transportation networks</topic><topic>Transportation planning</topic><topic>Transportation systems</topic><topic>Urban areas</topic><topic>Urban development</topic><topic>Urban planning</topic><topic>Verification</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Oliveira, Stefano P</creatorcontrib><creatorcontrib>Luche, José Roberto D</creatorcontrib><creatorcontrib>Marins, Fernando A. S</creatorcontrib><creatorcontrib>da Silva, Aneirson F</creatorcontrib><creatorcontrib>Costa, Antônio F. B</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>PAIS Index</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Journal of urban planning and development</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Oliveira, Stefano P</au><au>Luche, José Roberto D</au><au>Marins, Fernando A. S</au><au>da Silva, Aneirson F</au><au>Costa, Antônio F. B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design of a Bike–Bus Network for a City of Half a Million Citizens</atitle><jtitle>Journal of urban planning and development</jtitle><date>2021-09-01</date><risdate>2021</risdate><volume>147</volume><issue>3</issue><issn>0733-9488</issn><eissn>1943-5444</eissn><abstract>Abstract
This work develops a mathematical model for designing bikeway networks that integrate into public bus transport services in urban areas using concepts from network multiobjective optimization and mixed-integer linear programming (MILP). The proposed model maximizes 14 objectives and 14 constraints by referring in a generalized way to lane comfort, safety, path objectivity, network connectivity, intermodality with bus service, and monetary budgets. In the context of a developing country, we believe that this model can address the transit network design problem (TNDP) as an innovative proposal for integration between alternative modes of transport and buses. A case study in Sao Jose dos Campos city, Sao Paulo state, Brazil, is conducted, and exact solutions are obtained with partially connected networks (first approach) and fully connected networks (second approach). A scenario analysis enables verification of the integrated transportation system performance and, for the case study, prioritizes the least expensive bikeway type. Therefore, the results from the proposed model can contribute to urban planning in testing alternative scenarios for bike–bus networks.</abstract><cop>New York</cop><pub>American Society of Civil Engineers</pub><doi>10.1061/(ASCE)UP.1943-5444.0000709</doi><orcidid>https://orcid.org/0000-0002-9057-239X</orcidid></addata></record> |
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source | PAIS Index; American Society of Civil Engineers:NESLI2:Journals:2014 |
subjects | Budgets Buses Case studies Constraint modelling Developing countries Exact solutions Integer programming LDCs Linear programming Mixed integer Multiple objective analysis Networks Optimization Technical Papers Transportation networks Transportation planning Transportation systems Urban areas Urban development Urban planning Verification |
title | Design of a Bike–Bus Network for a City of Half a Million Citizens |
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