Antivirus-built environment: Lessons learned from Covid-19 pandemic

Street view imagery in urban analytics and GIS: A review

A range of applications, from predicting the spread of human and electronic viruses to city planning and resource management in mobile communications, depend on our ability to foresee the whereabouts and mobility of individuals, raising a fundamental question: To what degree is human behavior predictable? Here we explore the limits of predictability in human dynamics by studying the mobility patterns of anonymized mobile phone users. By measuring the entropy of each individual's trajectory, we find a 93% potential predictability in user mobility across the whole user base. Despite the significant differences in the travel patterns, we find a remarkable lack of variability in predictability, which is largely independent of the distance users cover on a regular basis.

http://absimage.aps.org/image/MAR10/MWS_MAR10-2009-007155.pdf

Limits of predictability in human mobility

Analyzing the effects of Green View Index of neighborhood streets on walking time using Google Street View and deep learning

The COVID-19 pandemic is bringing about changes, and alongside these, we can alter the way we design our living spaces. The need for a healthy and comfortable living space is essential to mental and physical well-being. The present study covers the most up-to-date documents, including peer-reviewed papers, blog posts, news, journal articles, and expert opinions, to critically review lessons learned from the COVID-19 pandemic and evaluates the expected changes in sustainability requirements of residential buildings. Health and safety, environment, and comfort are the three main aspects of residential buildings that have been tested during quarantines and are also expected to experience major transformations toward sustainability. Residential houses should provide certain health and safety protective measures to their occupants, such as the application of new touchless technologies, having proper sanitation to diminish the probability of getting infected, and developing greener and more intimate spaces that can help recover and improve mental states. Our findings address the need to reconsider sustainability requirements for residential buildings, which will provide adequate health and safety and comfort with no significant harm to the environment.

https://www.mdpi.com/2071-1050/12/20/8732/pdf

How is COVID-19 Experience Transforming Sustainability Requirements of Residential Buildings? A Review

Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning

Multiscale identification of urban functional polycentricity for planning implications: An integrated approach using geo-big transport data and complex network modeling

Yuyang Cai

Papers

Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning

Multiscale identification of urban functional polycentricity for planning implications: An integrated approach using geo-big transport data and complex network modeling