@Article{IJNAM-9-2,
author = {},
title = {An Interactive Geospatial Analysis Platform for Facility Location Decision-Making},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2012},
volume = {9},
number = {2},
pages = {217--231},
abstract = {<p style="text-align: justify;">The Facility Location Problem is an important research topic in spatial analysis. This
paper focuses on the Static and Mobile Facility Location (SMFL) Problem, which aims to identify
those static and mobile facility locations that serve a target area most efficiently and equally.
This paper formalizes the SMFL problem as a bi-objective model and then solves the model by
using a novel heuristic algorithm, named Static and Mobile Facility Location Searching (SMFLS).
The algorithm consists of two steps: static facility location searching and mobile facility location
searching. In order to solve the model for large datasets efficiently, a clustering-based heuristic
method is proposed for the static facility location searching while the mobile facility location
searching is implemented using a greedy heuristic method. Experiments on synthetic datasets
demonstrate the efficiency of the SMFLS algorithm. In addition, with the aim of conducting facility location decision-making conveniently and efficiently, in this paper, an interactive geospatial
analysis platform, named Geospatial Analysis Platform using Interactive Maps (GAPIM) is proposed by combining the bi-objective models and the SMFLS algorithm with an interactive map.
Experiments on Alberta public health service data are conducted, with the results demonstrating
the efficiency and practicality of the platform.</p>},
issn = {2617-8710},
doi = {https://doi.org/2012-IJNAM-622},
url = {https://global-sci.com/article/83463/an-interactive-geospatial-analysis-platform-for-facility-location-decision-making}
}