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

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.

Authors

Institutions

Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10826013
Citations
1
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Stefania Bandini, Katsuhiro Nishinari, Roberto Garrone
1 citations
Urban Transport and Accessibility
0.68
article

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

Stefania Bandini, Katsuhiro Nishinari, Roberto Garrone
article en
1 citations

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.

University of Milano-Bicocca (IT), The University of Tokyo (JP)
Life in Land
Openalex Percentile: Top 20%
Urban Transport and Accessibility
0.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.