A Multi-Objective Optimization of Physical Activity Spaces

Optimizing the location of physical activity spaces (PAS) to ensure health, equity and efficiency has long been an important issue in urban planning. Given health benefits green (UGS), taking Gongshu District Hangzhou as a case, we examine where such PAS should be located optimize three objectives: (1) minimize distance between UGS; (2) maximize accessibility (3) population that falls within coverage range. This study develops multi-objective optimization model (MOPAS) based upon particle swarm yield set non-dominated Pareto optimum solutions can used determine most practical tradeoffs conflicting objectives. It compares advantages disadvantages evaluates construction situation locations implementation feasibility. Decision-makers choose best solution according subjective preferences objective conditions. The MOPSO holds great promise for improving methods applied adapted support facilities planning globally.