通过稳定匹配定义道路网中公平的地理区域

D. Eppstein, M. Goodrich, Doruk Korkmaz, Nil Mamano
{"title":"通过稳定匹配定义道路网中公平的地理区域","authors":"D. Eppstein, M. Goodrich, Doruk Korkmaz, Nil Mamano","doi":"10.1145/3139958.3140015","DOIUrl":null,"url":null,"abstract":"We introduce a novel method for defining geographic districts in road networks using stable matching. In this approach, each geographic district is defined in terms of a center, which identifies a location of interest, such as a post office or polling place, and all other network vertices must be labeled with the center to which they are associated. We focus on defining geographic districts that are equitable, in that every district has the same number of vertices and the assignment is stable in terms of geographic distance. That is, there is no unassigned vertex-center pair such that both would prefer each other over their current assignments. We solve this problem using a version of the classic stable matching problem, called symmetric stable matching, in which the preferences of the elements in both sets obey a certain symmetry. We show that, for a planar graph or road network with n nodes and k centers, the problem can be solved in O(n √ n log n) time, which improves upon the O(nk) runtime of using the classic Gale--Shapley stable matching algorithm when k is large. Finally, we provide experimental results on road networks for these algorithms and a heuristic algorithm that performs better than the Gale--Shapley algorithm for any range of values of k.","PeriodicalId":270649,"journal":{"name":"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Defining Equitable Geographic Districts in Road Networks via Stable Matching\",\"authors\":\"D. Eppstein, M. Goodrich, Doruk Korkmaz, Nil Mamano\",\"doi\":\"10.1145/3139958.3140015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce a novel method for defining geographic districts in road networks using stable matching. In this approach, each geographic district is defined in terms of a center, which identifies a location of interest, such as a post office or polling place, and all other network vertices must be labeled with the center to which they are associated. We focus on defining geographic districts that are equitable, in that every district has the same number of vertices and the assignment is stable in terms of geographic distance. That is, there is no unassigned vertex-center pair such that both would prefer each other over their current assignments. We solve this problem using a version of the classic stable matching problem, called symmetric stable matching, in which the preferences of the elements in both sets obey a certain symmetry. We show that, for a planar graph or road network with n nodes and k centers, the problem can be solved in O(n √ n log n) time, which improves upon the O(nk) runtime of using the classic Gale--Shapley stable matching algorithm when k is large. Finally, we provide experimental results on road networks for these algorithms and a heuristic algorithm that performs better than the Gale--Shapley algorithm for any range of values of k.\",\"PeriodicalId\":270649,\"journal\":{\"name\":\"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3139958.3140015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3139958.3140015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

提出了一种基于稳定匹配的路网地理区域定义方法。在这种方法中,根据中心定义每个地理区域,该中心标识感兴趣的位置,例如邮局或投票站,所有其他网络顶点必须使用与其关联的中心进行标记。我们专注于定义公平的地理区域,即每个区域具有相同数量的顶点,并且分配在地理距离方面是稳定的。也就是说,不存在未分配的顶点中心对,使得两者都更喜欢彼此而不是当前的分配。我们使用经典稳定匹配问题的一个版本来解决这个问题,称为对称稳定匹配,其中两个集合中的元素的偏好服从一定的对称性。我们证明,对于具有n个节点和k个中心的平面图或道路网络,问题可以在O(n√n log n)时间内解决,这改进了k较大时使用经典Gale- Shapley稳定匹配算法的O(nk)运行时间。最后,我们提供了这些算法在道路网络上的实验结果,并提供了一种启发式算法,该算法在任何k值范围内的性能都优于Gale- Shapley算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defining Equitable Geographic Districts in Road Networks via Stable Matching
We introduce a novel method for defining geographic districts in road networks using stable matching. In this approach, each geographic district is defined in terms of a center, which identifies a location of interest, such as a post office or polling place, and all other network vertices must be labeled with the center to which they are associated. We focus on defining geographic districts that are equitable, in that every district has the same number of vertices and the assignment is stable in terms of geographic distance. That is, there is no unassigned vertex-center pair such that both would prefer each other over their current assignments. We solve this problem using a version of the classic stable matching problem, called symmetric stable matching, in which the preferences of the elements in both sets obey a certain symmetry. We show that, for a planar graph or road network with n nodes and k centers, the problem can be solved in O(n √ n log n) time, which improves upon the O(nk) runtime of using the classic Gale--Shapley stable matching algorithm when k is large. Finally, we provide experimental results on road networks for these algorithms and a heuristic algorithm that performs better than the Gale--Shapley algorithm for any range of values of k.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信