Yang, L;
van Dam, KH;
Anvari, B;
de Nazelle, A;
(2019)
Evaluating the Impact of an Integrated Urban Design of Transport Infrastructure and Public Space on Human Behavior and Environmental Quality: A Case Study in Beijing.
In: Payne, D and Elkink, J and Friel, N and Grund, Th and Hochstrasser, T and Lucas, P and Ottewill, A, (eds.)
Social Simulation for a Digital Society.
(pp. pp. 121-133).
Springer Nature: Switzerland.
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Abstract
Urban transport infrastructure can result in the physical, psychological and environmental separation of neighborhoods, public spaces and pedestrian networks, leading to negative impacts on citizens’ daily commutes, social activities and the quality of the ecosystem. An integrated design of transport infrastructure and public space is beneficial for mediating these negative impacts. In this paper, we propose an integrated methodology, which combines urban design, computational scenario evaluation and decision-making processes, based on a conceptual model of human and ecological needs-driven planning. To evaluate the impacts of the road network and public space design on individual outdoor activities, travel behavior and air pollution, an agent-based model is demonstrated. This model is then applied to a case study in Beijing, leading to hourly traffic volume maps and car-related air pollution heat maps of a baseline road network-public space design.
Type: | Proceedings paper |
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Title: | Evaluating the Impact of an Integrated Urban Design of Transport Infrastructure and Public Space on Human Behavior and Environmental Quality: A Case Study in Beijing |
Event: | Social Simulation Conference 2017 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-3-030-30298-6_10 |
Publisher version: | https://doi.org/10.1007/978-3-030-30298-6_10 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Urban transport infrastructure, Human behavior, Public space, Agent-based modeling, Policy-making support, Environmental evaluation, Air pollution simulation |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10090538 |
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