English

PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources

Computers and Society 2023-05-04 v1

Abstract

Historical systematic exclusionary tactics based on race have forced people of certain demographic groups to congregate in specific urban areas. Aside from the ethical aspects of such segregation, these policies have implications for the allocation of urban resources including public transportation, healthcare, and education within the cities. The initial step towards addressing these issues involves conducting an audit to assess the status of equitable resource allocation. However, due to privacy and confidentiality concerns, individual-level data containing demographic information cannot be made publicly available. By leveraging publicly available aggregated demographic statistics data, we introduce PopSim, a system for generating semi-synthetic individual-level population data with demographic information. We use PopSim to generate multiple benchmark datasets for the city of Chicago and conduct extensive statistical evaluations to validate those. We further use our datasets for several case studies that showcase the application of our system for auditing equitable allocation of city resources.

Keywords

Cite

@article{arxiv.2305.02204,
  title  = {PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources},
  author = {Khanh Duy Nguyen and Nima Shahbazi and Abolfazl Asudeh},
  journal= {arXiv preprint arXiv:2305.02204},
  year   = {2023}
}

Comments

Published as part of the Workshop on Algorithmic Fairness in Artificial Intelligence, Machine Learning, and Decision Making (AFair-AMLD) at the SIAM International Conference on Data Mining (SDM23)