The main aim of this paper is to present a study on walkability in remote areas supporting the design of new proper indices through integrated and territorial data coming from different sources with AI-based techniques to promote synergized social sustainability. Most of the research on walkability has been addressed in urban contexts and the development of socially sustainable urban communities, and the focus on remote areas is at the beginning and promising, also leveraged by most recent demographic studies on this territorial context. This paper illustrates the needs of new approaches to study walkability and accessibility to services supporting social sustainability, and the opportunity coming from integrated AI-based technologies and territorial pedestrian mobility data, focusing on older adults and informal caregivers.

Garrone, R., Nishinari, K., Bandini, S. (2024). Fostering sustainable walkability in remote areas: Integrating territorial data sources and AI-based simulation techniques. In 2024 IEEE International Conference on Big Data (BigData) (pp.6737-6742). Institute of Electrical and Electronics Engineers Inc. [10.1109/BigData62323.2024.10826013].

Fostering sustainable walkability in remote areas: Integrating territorial data sources and AI-based simulation techniques

Garrone R.
Co-primo
;
Bandini S.
Co-primo
2024

Abstract

The main aim of this paper is to present a study on walkability in remote areas supporting the design of new proper indices through integrated and territorial data coming from different sources with AI-based techniques to promote synergized social sustainability. Most of the research on walkability has been addressed in urban contexts and the development of socially sustainable urban communities, and the focus on remote areas is at the beginning and promising, also leveraged by most recent demographic studies on this territorial context. This paper illustrates the needs of new approaches to study walkability and accessibility to services supporting social sustainability, and the opportunity coming from integrated AI-based technologies and territorial pedestrian mobility data, focusing on older adults and informal caregivers.
paper
agent-based simulation; artificial intelligence; inner areas; social sustainability; sustainable walkability;
English
2024 IEEE International Conference on Big Data, BigData 2024 - 15-18 December 2024
2024
2024 IEEE International Conference on Big Data (BigData)
9798350362480
2024
6737
6742
reserved
Garrone, R., Nishinari, K., Bandini, S. (2024). Fostering sustainable walkability in remote areas: Integrating territorial data sources and AI-based simulation techniques. In 2024 IEEE International Conference on Big Data (BigData) (pp.6737-6742). Institute of Electrical and Electronics Engineers Inc. [10.1109/BigData62323.2024.10826013].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/582721
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