The current research work is based on an extended spatial analysis executed through the application of GIS, aiming at assessing the level of walkability in the city of Bologna (Italy). In particular, the research focused on walkability for children (aged between 5 to 13 years old), as they experience the city differently than adult pedestrians, since they are more vulnerable to road accidents and they need proper infrastructures to freely play outdoors and walk independently. The GIS analysis was based on a series of location-based data retrieved from different open source repositories and focused on the level of usefulness, comfort, safety, and attractiveness of Bologna for child pedestrians. The proposed Walkability for Children Index was aimed at identifying the neighborhoods characterized by the lowest level of pedestrian friendliness in relation to the childrens needs while walking. Results helped to identify and characterize a short list of suitable areas where to prioritize interventions focusing, for example, on guaranteeing the presence of relevant public services within a walkable distance of 15 minutes from place of residence and on the implementation of urban regeneration projects through the tactical urbanism approach.
机构:
Univ Trieste, Dept Econ Business Math & Stat Bruno de Finetti, Via Tigor 22, I-34127 Trieste, ItalyUniv Cagliari, Dept Civil & Environm Engn & Architecture, Via Marengo 2, I-09123 Cagliari, Italy
机构:
Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Inst Future Cities, Shatin, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China
Liu, Dong
Kwan, Mei-Po
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Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Inst Future Cities, Shatin, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China
Kwan, Mei-Po
Wang, Jianying
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Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China