Optimizing Location Allocation in Urban Management: A Brief Review

TL;DR

This paper reviews various models and methods for location allocation problems in urban management, emphasizing their importance in digital transformation and identifying areas for future research improvement.

Contribution

It provides a comprehensive summary of existing optimization models for location allocation in urban management and discusses their limitations and future directions.

Findings

Existing models vary in complexity and application

Location allocation impacts urban efficiency and citizen satisfaction

Identifies gaps and suggests future research directions

Abstract

Regarding the concepts of urban management, digital transformation, and smart cities, various issues are presented. Currently, we like to attend to location allocation problems that can be a new part of digital transformation in urban management (such as locating and placing facilities, locating and arranging centers such as aid and rescue centers, or even postal hubs, telecommunications, electronic equipment, and data centers, and routing in transportation optimization). These issues, which are seemingly simple but in practice complex, are important in urban environments, and the issue of accurate location allocation based on existing criteria directly impacts cost management, profit, efficiency, and citizen satisfaction. In recent years, researchers have used or presented various models and methods for location allocation problems, some of which will be mentioned in this article. Given the nature of these problems, which are optimization problems, this article will also examine existing research from an optimization perspective in summary. Finally, a brief conclusion will be made of the existing methods and their weaknesses, and suggestions will be made for continuing the path and improving scientific and practical research in this field.