ﻻ يوجد ملخص باللغة العربية
Understanding human urban dynamics is essential but challenging as cities are complex systems where people and space interact. Using a customer-level data set from a leading Korean accommodation platform, we identify that urban hierarchy, geographical distance, and attachment to a location are crucial factors of social gathering behaviors in urban areas. We also introduce a model that incorporates the factors and reconstructs the key characteristics of the data. Our model and analysis show that COVID-19 leads to significant behavioral changes in social gathering behaviors. After the outbreak, people are more likely to visit familiar places, avoid places at the highest level of the urban hierarchy, and travel close distances, while the total number of accommodation reservations does not change much. Interestingly, these changes facilitate social gathering activities only at other high levels, implying an external shock reduces the centralization of human urban dynamics but worsens the inequality of urban areas at low levels.
The ongoing COVID-19 pandemic has created a global crisis of massive scale. Prior research indicates that human mobility is one of the key factors involved in viral spreading. Indeed, in a connected planet, rapid world-wide spread is enabled by long-
Currently, the global situation of COVID-19 is aggravating, pressingly calling for efficient control and prevention measures. Understanding spreading pattern of COVID-19 has been widely recognized as a vital step for implementing non-pharmaceutical m
In response to the COVID-19 pandemic, governments have implemented policies to curb the spread of the novel virus. Little is known about how these policies impact various groups in society. This paper explores the relationship between social distanci
Mitigating traffic congestion on urban roads, with paramount importance in urban development and reduction of energy consumption and air pollution, depends on our ability to foresee road usage and traffic conditions pertaining to the collective behav
We develop a minimalist compartmental model to study the impact of mobility restrictions in Italy during the Covid-19 outbreak. We show that an early lockdown shifts the epidemic in time, while that beyond a critical value of the lockdown strength, t