Table 1.
Comparative overview of multi-objective optimization algorithms.
Fig 1.
Overview map of the study area.
Table 2.
The types, sources, and processing methods of the data used in this study.
Fig 2.
Flowchart of parking lot site selection optimization research.
Fig 3.
Population and hierarchical extraction of road network data.
Fig 4.
Spatial distribution of urban corner spaces and selected candidate sites.
Table 3.
Settings of DTLZ problems.
Table 4.
Average IGD values of two algorithems.
Table 5.
Robustness test results under different parameter combinations.
Fig 5.
Flowchart of parking lot site selection optimization research.
Fig 6.
Kernel density analysis of key ares.
Table 6.
Optimization objectives and corresponding functions.
Table 7.
Constraints and corresponding mathematical formulations.
Fig 7.
3D Pareto front.
Fig 8.
Fitted curve plot.
Fig 9.
Marginal benefit analysis chart.
Fig 10.
Decision strategy diagram.
Fig 11.
Kernel density analysis of the benefit peak strategy.
Fig 12.
Accessibility analysis of the benefit peak strategy.