Covid-19 pandemic and urban mobility in Milan. Wi-Fi sensors and location-based data

Assessing the Level of Walkability for Women Using GIS and Location-based Open Data: The Case of New York City

“…Thus, the Neighborhood Tabulation Areas identified through the proposed WWI could be further investigated through the observations of pedestrian dynamics supported by GPS data, video cameras, and Wi-Fi sensors to collect quantitative information about activity patterns in the city (Gorrini et al 2021), but also through qualitative data collection methods (e.g., focus groups, audit tools, survey questionnaires, collaborative mapping platforms, co-design laboratories, etc.) focused on the subjective evaluations of women about the level of walkability of a specific area.…”

Video Analytics for Understanding Pedestrian Mobility Patterns in Public Spaces: The Case of Milan

“…As mentioned in [1,2], the systematic observation of pedestrian dynamics is a very informative method to record what people do and how they behave in a particular space. In order to get such kind of records researchers can utilize manual or automated techniques for people counting and tracking [3], or exploit sensor records such as GPS [4] and Wi-Fi [5,6]. In particular, computer vision techniques allow the automated analysis on crowd counting and density estimation, crowd motion detection, crowd tracking, and crowd behavior understanding [7][8][9].…”

Who were the losers and winners during the Covid-19 pandemic? The rise of remote working in suburban areas

“…This phenomenon is still being researched in Italy. The focus of the few empirical studies is on the workers who have left the largest cities, first, Milan (Gorrini et al, 2021;Mariotti et al, 2021b) and the so-called 'South Working': the moving of remote workers to southern and inner areas of the country while working for employers based in the big cities of the north or even abroad (Di Matteo et al, 2022;Militello & Mirabile, 2020;Mirabile & Militello, 2022). Within this context, the paper aims to fill the gap in the literature by exploring the rise of RW during the first wave of the Covid-19 pandemic in the Lombardy region in north-west Italy.…”

“…The need for social distancing and the chance for knowledge workers to work remotely, thus reducing commutes to the large urban agglomerations, has made suburban (and peripheral) areas more attractive places in which to live and work. Several studies (Bloomberg City Lab, 2021;Ramani & Bloom, 2021;and Althoff et al, 2022 for the United States; Delventhal et al, 2022, for the Los Angeles metropolitan area; Gorrini et al, 2021;and Mariotti et al, 2021b, for the city of Milan; Di Matteo et al, 2022, for the south working movement in Italy; and Gurrutxaga, 2021, for the case of Spanish regions) argue to what extent the 'departure from the big cities' will be a short-, medium-or long-term phenomenon, and the effects on the suburban and peripheral areas are questioned contextually.…”

“…Semi-peripheral and peripheral neighbourhoods have achieved a renewed role in attracting remote workers, and co-working spaces represent a valuable alternative for those willing to improve their work-life balance through RW. A similar approach was applied by Gorrini et al (2021), who gathered data for seven months (January-July 2020) through a network of 55 wi-fi sensors distributed in several department stores, shops and public services in Milan. Their results showed a significant decrease between the average number of mobile devices detected per day before the spread of Covid-19 and those recorded during the lockdown phase.…”