Since the outbreak of COVID-19 in early March 2020, supermarkets around the world have
implemented different policies to reduce the virus transmission in stores to protect both …

Spatial networks are ubiquitous in social, geographical, physical, and biological
applications. To understand the large-scale structure of networks, it is important to develop …

We performed large-scale numerical simulations using a composite model to investigate the
infection spread in a supermarket during a pandemic. The model is composed of the social …

Despite the growing interest in macroscopic epidemiological models to deal with threats
posed by pandemics such as COVID-19, little has been done regarding the assessment of …

Accurately calibrated pedestrian destination choice models help explain and predict foot
traffic in public places by describing how individuals choose locations to visit. Model …

This research is a first empirical investigation into the effect of mobile social app usage on
consumers' decisions to visit offline stores and how such an effect varies across consumers …

We analyze the spatial distributions of restaurants in Seoul to examine the effects of the
proximity to a transportation system as well as online information sharing on urban living …

Motivated by the modeling of customer mobility and congestion in supermarkets, we study
queueing networks with a single source and a single sink. We assume that walkers traverse …

Networks provide a useful mathematical model for systems that are composed of agents,
also called nodes, that interact in a pairwise fashion. Inside a spatial network, nodes are …

The move towards publishing research data openly has led to the formation of reference
databases in many fields. The benefits of such resources are numerous, particularly in the …