Customer mobility and congestion in supermarkets

  title={Customer mobility and congestion in supermarkets},
  author={Fabian Ying and Alisdair O. G. Wallis and Mariano Beguerisse-D{\'i}az and Mason A. Porter and Sam D. Howison},
  journal={Physical review. E},
  volume={100 6-1},
The analysis and characterization of human mobility using population-level mobility models is important for numerous applications, ranging from the estimation of commuter flows in cities to modeling trade flows between countries. However, almost all of these applications have focused on large spatial scales, which typically range between intracity scales and intercountry scales. In this paper, we investigate population-level human mobility models on a much smaller spatial scale by using them to… Expand
How risky is it to visit a supermarket during the pandemic?
This study quantified the infection risk for customers while in a supermarket that depended on the number of customers, the purchase strategies and the physical layout of the supermarket and found only a weak dependence of sales efficiency and customer density. Expand
Simulating human interactions in supermarkets to measure the risk of COVID-19 contagion at scale
Taking the context of simulating a retail environment using agent based modelling, a theoretical model is presented that describes the probability distribution of customer "collisions" using a novelExpand
An Information-Theoretic Law Governing Human Multi-Task Navigation Decisions
To better understand the process by which humans make navigation decisions when tasked with multiple stopovers, we analyze motion data captured from shoppers in a grocery store. We discover severalExpand
Finding Your Way: Shortest Paths on Networks
Dijkstra's algorithm to minimize the total cost of a path, where the cost may be the travel distance or travel time, is introduced and used in the real world to save time and increase traveling efficiency. Expand
Modelling COVID-19 transmission in supermarkets using an agent-based model
An agent-based model of customer movement in a supermarket with a simple virus transmission model based on the amount of time a customer spends in close proximity to infectious customers is formulated and encouraged to find the most effective store policies that reduce virus transmission in stores and thereby protect both customers and staff. Expand


A universal model for mobility and migration patterns
A stochastic process capturing local mobility decisions that helps to derive commuting and mobility fluxes that require as input only information on the population distribution is introduced, significantly improving the predictive accuracy of most of the phenomena affected by mobility and transport processes. Expand
Limits of Predictability in Commuting Flows in the Absence of Data for Calibration
A statistical expression to calculate commuting trips with a quantitative functional form to estimate the model parameter when empirical trip data is not available is developed, introducing a scaling parameter α to the recently proposed parameter free radiation model. Expand
Human mobility: Models and applications
Recent years have witnessed an explosion of extensive geolocated datasets related to human movement, enabling scientists to quantitatively study individual and collective mobility patterns, and toExpand
Commuting Network Models: Getting the Essentials
The presented model provides a simple, yet powerful approach to simulate realistic distributions of commuters for empirical studies with limited data availability and a comparative analysis of the structure of the commuting networks of the four European regions to which it is applied. Expand
Modeling collective human mobility: Understanding exponential law of intra-urban movement
A new model is proposed to model collective human mobility in urban areas and it can be concluded that the exponential law of distance distribution is attributed to decreasing exponentially of average density of human travel demands. Expand
Human Mobility in a Continuum Approach
The new modeling paradigm offered by this description suggests that the complex topological features observed in large mobility and transportation networks may be the result of a simple stochastic process taking place on an inhomogeneous landscape. Expand
Systematic comparison of trip distribution laws and models
This paper shows that the gravity law performs better than the intervening opportunities laws to estimate the commuting flows, to preserve the structure of the network and to fit the commuting distance distribution although it fails at predicting commuting flows at large distances. Expand
Estimating local commuting patterns from geolocated Twitter data
It is shown that heuristics applied to geolocated Twitter data offer a good proxy for local commuting patterns; one which outperforms the current best method for estimating these patterns (the radiation model); this finding is of particular significance because it makes use of relatively coarse geolocation data (at the city level) and use simple heuristic based on frequency counts. Expand
Matchmaker, matchmaker, make me a match: migration of populations via marriages in the past
It is demonstrated that the data record from Korean family books can be used to estimate migration patterns via marriages from the past 750 years and the analysis of diffusiveversus convective effects in population flows is expected to bewidely applicable to the study of mobility and migration patterns across different cultures. Expand
Gravity versus radiation models: on the importance of scale and heterogeneity in commuting flows.
It is shown that the thermodynamic limit assumption for the original radiation model significantly underestimates the commuting flows for large cities, and the parameter-free radiation model gives competitive results, especially for large scales. Expand