Free-flow Carsharing Systems Part 1 – A General Overview
During the last years, sharing mobility is one of the emerging transport modes, but seldom its planning is entrusted to private operators and not seen as a major vector of ...
Walk Score Toolkit – Urban Walkability Analytics
The Walk Score is an urban metric that gives a comprehensive overview of a city’s walkability and is widely used to assess the accessibility of cities, neighborhoods and specific places ...
Spatial Analysis of Citizens’ Travel Data: The Pollicino Project
The research investigated citizens’ travel data in Bologna using the GPS data collected through the Pollicino project. The proposed analysis uncovered soft modes as predominant and concentrated in central zones. ...
Video Analytics for Understanding Pedestrian Mobility Patterns in Public Spaces: The Case of Milan
Thanks to the recent developments in ICT tools for collecting traffic data in the urban environment, there is an ever-growing availability of videos capturing the nerve centers of cities (e.g., ...
Measuring the Fairness of Transit Accessibility: The Case of Affordable Housing in New York City
Affordable housing is an integral aspect that determines the level of equity, for it to function sustainably, it is important to ensure that these units are placed in high-opportunity neighborhoods, ...
Deep Learning Video Analytics to Assess VGA Measures in Public Spaces
Since the introduction of the Social Logic of Space (Hillier and Hanson, 1984) and the further developments of Space Syntax theories during the following decades (Hillier et al., 1996; Hillier, ...
Analysing ‘Twitter Conversation’ of London Tube Stations: The Case of the Covid-19 Pandemic
Covid-19 pandemic has deeply affected urban mobility: the social-distancing strategies adopted to cope with the virus transmission pushed the majority of city users into avoiding public transport services in favour ...
Looking with Machine Eyes: Understanding Patterns in Urban Spaces
The development of new technologies is shaping the growth of cities in many ways. Among these, the Internet of Things (IoT), Artificial Intelligence (AI), the high-resolution global positioning system (GPS), ...
Sensors Data for Unlocking Hidden City Metrics
The recent developments of ICT tools for collecting traffic data in the urban environment have allowed a tremendous increase in the quality and amount of easily accessible data. This enables ...
Covid-19 pandemic and activity patterns in Milan. Wi-Fi sensors and location-based data
Within the research activities of Transform Transport on the impact of the Covid-19 pandemic on urban mobility (see the recently published booklet ‘Shifting Paradigm’), this study is focused on the ...
How Big Data is Transforming the Way We Plan Our Cities
This article was originally published by Fondazione Eni Enrico Mattei (FEEM), Editor: Prof. Stefano Pareglio, Firms and Cities Transition towards Sustainability (FACTS) Program Scientific Coordinator, ISBN 9791280348029 Abstract FEEM Policy ...
Monitoring (Big) traffic data through Wi-Fi sensors: the evolution of the lockdown phases in Milan
The development of ICT solutions for monitoring (Big) traffic data in real time enables transport planners and decision makers to understand and predict the travel behaviour of the city users. ...
Looking with machine eyes: how deep learning helps us read our cities
The development of new technologies is shaping the growth of cities in many ways. Among these, the Internet of Things (IoT), Artificial Intelligence (AI), the high-resolution global positioning system (GPS), ...
Research, Urban Mobility Metrics
Protected: Free-Flow Carsharing Systems Part 2 – A Spatio-Temporal Approach
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