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- Publisher Website: 10.1080/15568318.2018.1559899
- Scopus: eid_2-s2.0-85064048938
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Article: Designing cycle networks to maximize health, environmental, and travel time impacts: An optimization-based approach
Title | Designing cycle networks to maximize health, environmental, and travel time impacts: An optimization-based approach |
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Authors | |
Keywords | Bicycle network design bicycling collisions cost-benefit analysis health impacts |
Issue Date | 2020 |
Publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/15568318.asp |
Citation | International Journal of Sustainable Transportation, 2020, v. 14 n. 5, p. 361-374 How to Cite? |
Abstract | There has been a recent surge of research interest in quantifying the health and environmental impacts of increased cycling in urban environments. Although there is general agreement that the benefits of increased cycling outweigh the risks, most of the methodologies developed have had limited value for evaluating real-world transport policies. This is because they are based on hypothetical scenarios where increased cycling takes place but give no consideration to the courses of action which may help policymakers to achieve the scenarios. A useful extension to these methodologies would be one which allowed a user to find the optimal infrastructure design and/or policies which would maximize total societal benefit, taking into account the health and environmental impacts of cycling. In this study, a Network Design Problem is formulated for systematically designing cycling network layouts in order to maximize the net benefits to the network users and society. The problem is formulated as a mathematical program with equilibrium constraints (MPEC) and a solution approach based on a genetic algorithm (GA) is provided to solve the problem. The problem formulation and solution algorithm are tested using a numerical example. The GA algorithm was shown to efficiently converge to an optimal or near-optimal solution for the cycle network design. The proposed optimization framework may be adopted by transport authorities and/or urban planners as a decision support tool to help them to systematically identify the best design for a cycle network which balances the benefits and risks to all stakeholders. © 2019, © 2019 Taylor & Francis Group, LLC. |
Persistent Identifier | http://hdl.handle.net/10722/276313 |
ISSN | 2023 Impact Factor: 3.1 2023 SCImago Journal Rankings: 1.222 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Doorley, R | - |
dc.contributor.author | Pakrashi, V | - |
dc.contributor.author | Szeto, WY | - |
dc.contributor.author | Ghosh, B | - |
dc.date.accessioned | 2019-09-10T03:00:29Z | - |
dc.date.available | 2019-09-10T03:00:29Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | International Journal of Sustainable Transportation, 2020, v. 14 n. 5, p. 361-374 | - |
dc.identifier.issn | 1556-8318 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276313 | - |
dc.description.abstract | There has been a recent surge of research interest in quantifying the health and environmental impacts of increased cycling in urban environments. Although there is general agreement that the benefits of increased cycling outweigh the risks, most of the methodologies developed have had limited value for evaluating real-world transport policies. This is because they are based on hypothetical scenarios where increased cycling takes place but give no consideration to the courses of action which may help policymakers to achieve the scenarios. A useful extension to these methodologies would be one which allowed a user to find the optimal infrastructure design and/or policies which would maximize total societal benefit, taking into account the health and environmental impacts of cycling. In this study, a Network Design Problem is formulated for systematically designing cycling network layouts in order to maximize the net benefits to the network users and society. The problem is formulated as a mathematical program with equilibrium constraints (MPEC) and a solution approach based on a genetic algorithm (GA) is provided to solve the problem. The problem formulation and solution algorithm are tested using a numerical example. The GA algorithm was shown to efficiently converge to an optimal or near-optimal solution for the cycle network design. The proposed optimization framework may be adopted by transport authorities and/or urban planners as a decision support tool to help them to systematically identify the best design for a cycle network which balances the benefits and risks to all stakeholders. © 2019, © 2019 Taylor & Francis Group, LLC. | - |
dc.language | eng | - |
dc.publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/15568318.asp | - |
dc.relation.ispartof | International Journal of Sustainable Transportation | - |
dc.rights | AOM/Preprint Before Accepted: his article has been accepted for publication in [JOURNAL TITLE], published by Taylor & Francis. AOM/Preprint After Accepted: This is an [original manuscript / preprint] of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI]. Accepted Manuscript (AM) i.e. Postprint This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI]. | - |
dc.subject | Bicycle network design | - |
dc.subject | bicycling | - |
dc.subject | collisions | - |
dc.subject | cost-benefit analysis | - |
dc.subject | health impacts | - |
dc.title | Designing cycle networks to maximize health, environmental, and travel time impacts: An optimization-based approach | - |
dc.type | Article | - |
dc.identifier.email | Szeto, WY: ceszeto@hku.hk | - |
dc.identifier.authority | Szeto, WY=rp01377 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1080/15568318.2018.1559899 | - |
dc.identifier.scopus | eid_2-s2.0-85064048938 | - |
dc.identifier.hkuros | 303137 | - |
dc.identifier.volume | 14 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 361 | - |
dc.identifier.epage | 374 | - |
dc.identifier.isi | WOS:000465696200001 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 1556-8318 | - |