Customer mobility and congestion in supermarkets

@article{Ying2019CustomerMA,
  title={Customer mobility and congestion in supermarkets},
  author={Fabian Ying and A. O. G. Wallis and Mariano Beguerisse-D{\'i}az and M. Porter and S. Howison},
  journal={Physical review. E},
  year={2019},
  volume={100 6-1},
  pages={
          062304
        }
}
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
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References

SHOWING 1-10 OF 137 REFERENCES
A universal model for mobility and migration patterns
TLDR
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
TLDR
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 to… Expand
Human Mobility in a Continuum Approach
TLDR
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
TLDR
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
TLDR
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
TLDR
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.
TLDR
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
A Universal Model of Commuting Networks
TLDR
A recently proposed model generates accurate commuting networks on 80 case studies from different regions of the world (Europe and United-States) at different scales (e.g. municipalities, counties, regions) and significantly outperforms two other approaches proposing a universal commuting model. Expand
Great cities look small
TLDR
A mathematical model of human interactions in terms of a local strategy of maximizing the number of beneficial connections attainable under the constraint of limited individual travelling-time budgets is proposed and suggests that the scaling of different urban indicators with population size has an explicitly mechanistic origin. Expand
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