Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Urban regeneration in the future of self-driving: a case study on beijing's baitasi historic area
Selecting Beijing's Baitasi hutong as a case study, this paper explores a new approach that combines social sciences and computer sciences methodologies to answer a research question around sustainable urban regeneration for the historic area within dense inner-city. The study consists of two parts: 1) Data collection and analysis include: conducting a field audit at the study area collecting street view image data and multisource information on mobility, living conditions, and social behavior, then running computer-assisted geospatial analysis with data retrieved from image recognition through Baidu APIs and OpenCV using Python language; 2) Proposing an integrated vision of “Streets for People, Hutongs for All” toward a human-centered inclusive urban future in the era of self-driving vehicles, as well as policy recommendations on collaborative creation and governance to ensure the implementation of new design plan.
Urban regeneration in the future of self-driving: a case study on beijing's baitasi historic area
Selecting Beijing's Baitasi hutong as a case study, this paper explores a new approach that combines social sciences and computer sciences methodologies to answer a research question around sustainable urban regeneration for the historic area within dense inner-city. The study consists of two parts: 1) Data collection and analysis include: conducting a field audit at the study area collecting street view image data and multisource information on mobility, living conditions, and social behavior, then running computer-assisted geospatial analysis with data retrieved from image recognition through Baidu APIs and OpenCV using Python language; 2) Proposing an integrated vision of “Streets for People, Hutongs for All” toward a human-centered inclusive urban future in the era of self-driving vehicles, as well as policy recommendations on collaborative creation and governance to ensure the implementation of new design plan.
Urban regeneration in the future of self-driving: a case study on beijing's baitasi historic area
Jin, Yanlun (Autor:in) / Zimmermann, Basile / Giuliani, Gregory
01.01.2020
unige:144964
Hochschulschrift
Elektronische Ressource
Englisch
DDC:
710
Urban regeneration in the future of self-driving: a case study on beijing's baitasi historic area
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