ABSTRACT
This paper introduces a new p-regions model called the Network-Max-P-Regions (NMPR) model. The NMPR is a regionalization model that aims to aggregate n areas into the maximum number of regions (max-p) that satisfy a threshold constraint and to minimize the heterogeneity while taking into account the influence of a street network. The exact formulation of the NMPR is presented, and a heuristic solution is proposed to effectively compute the near-optimized partitions in several simulation datasets and a case study in Wuhan, China.
Acknowledgments
The authors are thankful to the editor and anonymous referees for their comments and suggestions that improved this paper. The usual disclaimer applies.
Disclosure statement
No potential conflict of interest was reported by the authors.