Samenvatting
In this paper, we introduce the Visit Potential Model (VPM), an integrated model to evaluate public space characteristics. It is an initial attempt to model and predict the potential presence of people in public places (i.e. their Visit Potential); the presence and flux of people being the underlying driver of all public space. We achieved this by combining a proposed universal law of visit frequencies in cities with a gravity measure for accessibility. We also demonstrate how this model can be extended to represent public space quality and liveliness throughout the hours of the day-a crucial concept in public space design. The paper primarily discusses the development of the calculation model, describing three variants to calculate Visit Potential values for public spaces: based on a public space's accessibility to people, the potential number of people visiting attractors, and the number of people moving through and occupying a public space.
Originele taal-2 | Engels |
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Titel | Computing for a better tomorrow |
Redacteuren | Anetta Kepczynska-Walczak, Sebastian Bialkowski |
Uitgeverij | eCAADe and CVUT, Faculty of Architecture |
Pagina's | 611-620 |
Aantal pagina's | 10 |
ISBN van geprinte versie | 9789491207167 |
Status | Gepubliceerd - 2018 |
Extern gepubliceerd | Ja |
Evenement | 36th International Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2018 - Łódź, Polen Duur: 19 sep. 2018 → 21 sep. 2018 |
Publicatie series
Naam | Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe |
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Volume | 2 |
ISSN van geprinte versie | 2684-1843 |
Congres
Congres | 36th International Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2018 |
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Land/Regio | Polen |
Stad | Łódź |
Periode | 19/09/18 → 21/09/18 |
Bibliografische nota
Publisher Copyright:© 2018.
Financiering
This research was conducted at the Future Cities Laboratory at the Singapore-ETH Centre, which was established collaboratively between ETH Zurich and Singapore’s National Research Foundation (FI370074016) under its Campus for Research Excellence and Technological Enterprise programme.
Financiers | Financiernummer |
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National Research Foundation Singapore | FI370074016 |
ETH Zurich |