Abstract
A recent advancement in location-allocation modeling proposes a new objective of minimizing inequality of accessibility. Existing work considers the planning problem as either selecting new sites or adjusting facility capacities, separately. This paper develops a two-step hybrid approach to the problem by optimizing both locations and capacities of facilities towards equal accessibility. A genetic algorithm is first employed to find the best locations to site new facilities, and then a quadratic programming method is used to determine the best capacity of each facility within a pre-defined range. The sequence is consistent with many decision-making practices. Results of a series of experiments demonstrate that location optimization reduces inequality in accessibility more significantly than capacity optimization. The two-step optimization method can be applied for sequential allocation decision-makings towards maximum equal accessibility.
| Original language | English |
|---|---|
| Pages (from-to) | 994-1011 |
| Number of pages | 18 |
| Journal | Environment and Planning B: Urban Analytics and City Science |
| Volume | 44 |
| Issue number | 6 |
| DOIs | |
| State | Published - 1 Nov 2017 |
Keywords
- Location-allocation models
- equal accessibility
- two-step optimization