171 citations · 623 across the 28 of their papers we have counts for
14 papers · 1 filter
Speed Limit: Obey, or Not Obey?
Zhengbing He, Mirco Nanni, Luca Pappalardo +2
It is commonly expected that drivers maintain a driving speed that is lower than or around the posted speed limit, as failure to obey may result in safety risks and fines. By takin…
The 15-Minute City Quantified Using Mobility Data
Timur Abbiasov, Cate Heine, Edward Glaeser +4
Americans travel 7 to 9 miles on average for shopping and recreational activities, which is far longer than the 15-minute (walking) city advocated by ecologically-oriented urban pl…
The universality in urban commuting across and within cities
Lei Dong, Paolo Santi, Yu Liu +2
Commuting is a key mechanism that governs the dynamics of cities. Despite its importance, very little is known of the properties and mechanisms underlying this crucial urban proces…
The effect of co-location on human communication networks
Daniel Carmody, Martina Mazzarello, Paolo Santi +5
The ability to rewire ties in communication networks is vital for large-scale human cooperation and the spread of new ideas. We show that lack of researcher co-location during the…
Travel distance, frequency of return and the spread of disease
Cate Heine, Kevin P. O'Keeffe, Paolo Santi +2
In 2020 and 2021, the spread of COVID-19 was globally addressed by imposing restrictions on the distance of individual travel. Recent literature has uncovered a clear pattern in hu…
The darkweb: a social network anomaly
Kevin P. O'Keeffe, Virgil Griffith, Yang Xu +2
We analyse the darkweb and find its structure is unusual. For example, of darkweb sites \emph{never} link to another site. To call the darkweb a "web" is thus a misno…
The spectral dimension of human mobility
Lei Dong, Kevin O'Keeffe, Paolo Santi +5
Human mobility patterns are surprisingly structured. In spite of many hard to model factors, such as climate, culture, and socioeconomic opportunities, aggregate migration rates ob…
Using reinforcement learning to minimize taxi idle times
Kevin O'Keeffe, Sam Anklesaria, Paolo Santo +1
Taxis spend a significant amount of time idle, searching for passengers. The routes vacant taxis should follow in order to minimize their idle times are hard to calculate; they dep…
Modeling vehicular mobility patterns using recurrent neural networks
Kevin O'Keeffe, Paolo Santi, Carlo Ratti
Data on vehicular mobility patterns have proved useful in many contexts. Yet generative models which accurately reproduce these mobility patterns are scarce. Here, we explore if re…
Urban sensing as a random search process
Kevin O'Keeffe, Paolo Santi, Brandon Wang +1
We study a new random search process: the \textit{taxi-drive}. The motivation for this process comes from urban sensing, in which sensors are mounted on moving vehicles such as tax…
Quantifying the sensing power of crowd-sourced vehicle fleets
Kevin P. O'Keeffe, Amin Anjomshoaa, Steven H. Strogatz +2
Sensors can measure air quality, traffic congestion, and other aspects of urban environments. The fine-grained diagnostic information they provide could help urban managers to moni…
Addressing the "minimum parking" problem for on-demand mobility
Daniel Kondor, Paolo Santi, Diem-Trinh Le +3
Parking infrastructure is pervasive and occupies large swaths of land in cities. However, on-demand (OD) mobility -- such as commercial services Uber, Grab or Didi -- has started r…
Scaling Law of Urban Ride Sharing
Remi Tachet, Oleguer Sagarra, Paolo Santi +4
Sharing rides could drastically improve the efficiency of car and taxi transportation. Unleashing such potential, however, requires understanding how urban parameters affect the fr…
Supersampling and network reconstruction of urban mobility
Oleguer Sagarra, Michael Szell, Paolo Santi +2
Understanding human mobility is of vital importance for urban planning, epidemiology, and many other fields that aim to draw policies from the activities of humans in space. Despit…