The paper presents the ongoing research and development effort aimed at developing an integrated methodology and an interoperable suite of tools for walkability and bikeability assessments, targeting both the demand for research aides as well as for planning and design support. The suite integrates assessment protocols and software tools across the pipeline from on-site audit protocols for comprehensive micro-scale assessment of urban fabrics, to large-scale massive evaluation of urban areas using big data and machine learning techniques, including research protocols for empirical calibration, validation and targeting using choice modelling techniques and immersive scenarios.

Towards an Interoperable Tool Suite for Integrated Multi-Scale Walkability and Bikeability Assessments

Blecic, Ivan;Meloni, Italo;Piras, Francesco;Mocci, Matteo;Sottile, Eleonora;
2025-01-01

Abstract

The paper presents the ongoing research and development effort aimed at developing an integrated methodology and an interoperable suite of tools for walkability and bikeability assessments, targeting both the demand for research aides as well as for planning and design support. The suite integrates assessment protocols and software tools across the pipeline from on-site audit protocols for comprehensive micro-scale assessment of urban fabrics, to large-scale massive evaluation of urban areas using big data and machine learning techniques, including research protocols for empirical calibration, validation and targeting using choice modelling techniques and immersive scenarios.
2025
assessment model
audit
bikeability
machine learning
urban and transport planning
walkability
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/468465
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