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Optidens

An optimization model to explore the conditions of possibility of slow but accessible urban areas

Bibliographic Data

ID21247800
AuthorsCyrille Genre-Grandpierre (UMR 7300 ESPACE, France), Cyrille Genre‐Grandpierre (corresponding author), Alena Melnikava (Laboratoire Informatique d'Avignon), Serigne Gueye (0000-0001-7217-8543, Laboratoire Informatique d'Avignon), Philippe Michelon (0000-0001-6648-5651, Laboratoire Informatique d'Avignon)
Year2021
Volume48
Issue4
Pages912-928
Publication date2021-05-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/2399808320913034
OpenAlexW3011292444
LanguageEN
Citations received1
References cited16

High levels of accessibility for people and jobs are the very essence of urban areas, as they allow the agglomeration economies. In the past, slow modes of transportation meant population and activity densities were the only way to reach high accessibility levels. More recently, the high speed provided by cars has enabled people to choose their home and job locations within larger areas, while keeping high accessibility levels and their daily transport time budget constant. Consequently, this change in the nature of accessibility has led to urban sprawl and automobile dependency, and in turn to environmental and social issues. To tackle these issues, an optimized model called OPTIDENS has been developed in order to explore how we might obtain slow but accessible urban areas. OPTIDENS reallocates population and jobs in order to meet contradictory expectations regarding urban forms and accessibility while minimizing car speed, the latter being a strategic goal in order to overcome automobile dependency. The model was tested in a mixed urban–rural area in France and points out the relative impacts of the different expectations on urban forms and on the required speed

Business · Civil engineering · Economic geography · Economic growth · Economics · Economies of agglomeration · Geography · Political science · Population · Rural area · Transport engineering · Urban agglomeration · Urban planning · Urban sprawl · Computer Science · Engineering · Transportation Planning and Optimization · Urban and Freight Transport Logistics · Urban Transport and Accessibility

  • Computational Optimisation of Urban Design Models

    Open Access•Jing Zhi Tay, F Peter Ortner et al.•Urban Science•2024

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    David Levinson, David M Levinson et al.•Journal of the American Planning…•1994

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    Open Access•Luca Bertolini, Frank Le Clercq et al.•Transport Policy•2005

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    Open Access•Shukui Tan, Lu Zhang et al.•Environment and Planning B Urban…•2017

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    Open Access•Farber, Xiao Li•Journal of Transport Geography•2013

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    Open Access•Michaël Neuman•Journal of Planning Education and…•2005

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    Open Access•L Handy, Susan Handy et al.•Environment and Planning A…•1997

  • Mobility and Proximity

    Open Access•John Urry•Sociology•2002

Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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