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Where is it complex to reallocate road space

Bibliographic Data

ID21247784
AuthorsGabriel Valença (0000-0002-3684-3005, University of Lisbon, corresponding author), Filipe Moura (0000-0001-5167-8434, University of Lisbon), Ana Morais de Sá (0000-0003-0591-9369, University of Lisbon)
Year2024
Volume51
Issue6
Pages1290-1307
Publication date2024-07-01
Peer ReviewedYes
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)
DOI10.1177/23998083231217770
OpenAlexW4389052815
LanguageEN
References cited38

Road space distribution has traditionally been based on the hierarchical classification of streets. In arterials, the majority of space is dedicated to traffic lanes, whereas local streets typically have fewer traffic lanes and more space for parking or sidewalks. Within urban areas, road space is contested between two main types of spaces: corridors of movement, and places for access and standing/stillness/staying. Given the limited availability of urban space, particularly in central areas, deciding how to allocate space for these functions poses a dilemma and requires tradeoffs. Nonetheless, certain areas experience underutilization and inefficiencies in space utilization over time. In this context, we propose a site selection methodology to identify complex zones within a city where different types of users and demands compete for space. These zones present the potential for dynamically allocating road space based on fluctuating demands and policy objectives. This methodology serves as an initial guide for planners to identify zones that require a thorough evaluation of activities and diverse temporal-spatial demands when reallocating road space. We use network centrality, land use indicators, traffic, and public transport dynamics indicators to detect complex zones and apply them to a Lisbon case study

Centrality · Civil engineering · Dilemma · Geography · Land use · Operations research · Spatial contextual awareness · Transport engineering · Computer Science · Engineering · Transportation Planning and Optimization · Urban Design and Spatial Analysis · Urban Transport and Accessibility · Artificial Intelligence

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Highly citedNo

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