Open-source approaches for location cover models: capabilities and efficiency

Author:

Chen HuanfaORCID,Murray Alan T.ORCID,Jiang RuiORCID

Abstract

AbstractLocation cover models are aimed at siting facilities so as to provide service to demand efficiently. These models are crucial in the management, planning and decision-making of service systems in public and private sectors. As a result, location cover models have been incorporated in a range of GIS tools, either closed or open source. Among them, open-source tools are advantageous due to transparency and reproducibility. Nonetheless, the capabilities and limitations of location cover tools remain largely unknown, necessitating further investigation and assessment. To this end, this paper provides an overview of the open-source tools that are capable of structuring and solving location cover models. Case studies are provided to demonstrate access of location models through different open-source tools as well as exploring solution quality, scalability, computing performance and reproducibility. Directions for improving location cover models accessible through open-source tools are summarized based on this review.

Publisher

Springer Science and Business Media LLC

Subject

Economics and Econometrics,Geography, Planning and Development

Reference57 articles.

1. Adenso-Díaz B, Rodríguez F (1997) A simple search heuristic for the MCLP: application to the location of ambulance bases in a rural region. Omega 25(2):181–187. https://doi.org/10.1016/S0305-0483(96)00058-8

2. Adesina EA, Odumosu JO, Morenikeji OO, Umoru E, Ayokanmbi AO, Ogunbode EB (2017) Optimization of fire stations services in Minna metropolis using maximum covering location model (MCLM). J Appl Sci Environ Sustain 3(7):172–187

3. Anselin L, Syabri I, Kho Y (2006) GeoDa: an introduction to spatial data analysis. Geogr Anal 38(1):5–22. https://doi.org/10.1111/j.0016-7363.2005.00671.x

4. Bollen K, Cacioppo JT, Kaplan RM, Krosnick JA (2015) Social, behavioral, and economic sciences perspectives on robust and reliable science. National Science Foundation, Arlington, VA

5. Brunsdon C (2015) tbart: Teitz and Bart’s p-median algorithm. https://cran.r-project.org/package=tbart. Accessed 13 Jan 2021

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Solving the Two-Criteria Maximum Coverage Location Problem of Continuous Area Monitored by Sensor Network;2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS);2023-09-07

2. Bridging the gap between supply chain management practice and curriculum: A location analytics exercise;Decision Sciences Journal of Innovative Education;2023-04

3. Opensource spatial optimization in GIScience for strategic positioning;Transactions in GIS;2023-02-21

4. Sources of Uncertainty in Location Analysis;International Series in Operations Research & Management Science;2023

5. spopt: a python package for solving spatial optimization problems in PySAL;Journal of Open Source Software;2022-06-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3