{"title":"扩大无障碍设施的机制设计","authors":"Hau Chan, Jianan Lin, Chenhao Wang, Yanxi Xie","doi":"arxiv-2409.08993","DOIUrl":null,"url":null,"abstract":"We study a variation of facility location problems (FLPs) that aims to\nimprove the accessibility of agents to the facility within the context of\nmechanism design without money. In such a variation, agents have preferences on\nthe ideal locations of the facility on a real line, and the facility's location\nis fixed in advance where (re)locating the facility is not possible due to\nvarious constraints (e.g., limited space and construction costs). To improve\nthe accessibility of agents to facilities, existing mechanism design literature\nin FLPs has proposed to structurally modify the real line (e.g., by adding a\nnew interval) or provide shuttle services between two points when structural\nmodifications are not possible. In this paper, we focus on the latter approach\nand propose to construct an accessibility range to extend the accessibility of\nthe facility. In the range, agents can receive accommodations (e.g., school\nbuses, campus shuttles, or pickup services) to help reach the facility.\nTherefore, the cost of each agent is the distance from their ideal location to\nthe facility (possibility) through the range. We focus on designing\nstrategyproof mechanisms that elicit true ideal locations from the agents and\nconstruct accessibility ranges (intervals) to approximately minimize the social\ncost or the maximum cost of agents. For both social and maximum costs, we\ndesign group strategyproof mechanisms with asymptotically tight bounds on the\napproximation ratios.","PeriodicalId":501316,"journal":{"name":"arXiv - CS - Computer Science and Game Theory","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mechanism Design for Extending the Accessibility of Facilities\",\"authors\":\"Hau Chan, Jianan Lin, Chenhao Wang, Yanxi Xie\",\"doi\":\"arxiv-2409.08993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study a variation of facility location problems (FLPs) that aims to\\nimprove the accessibility of agents to the facility within the context of\\nmechanism design without money. In such a variation, agents have preferences on\\nthe ideal locations of the facility on a real line, and the facility's location\\nis fixed in advance where (re)locating the facility is not possible due to\\nvarious constraints (e.g., limited space and construction costs). To improve\\nthe accessibility of agents to facilities, existing mechanism design literature\\nin FLPs has proposed to structurally modify the real line (e.g., by adding a\\nnew interval) or provide shuttle services between two points when structural\\nmodifications are not possible. In this paper, we focus on the latter approach\\nand propose to construct an accessibility range to extend the accessibility of\\nthe facility. In the range, agents can receive accommodations (e.g., school\\nbuses, campus shuttles, or pickup services) to help reach the facility.\\nTherefore, the cost of each agent is the distance from their ideal location to\\nthe facility (possibility) through the range. We focus on designing\\nstrategyproof mechanisms that elicit true ideal locations from the agents and\\nconstruct accessibility ranges (intervals) to approximately minimize the social\\ncost or the maximum cost of agents. For both social and maximum costs, we\\ndesign group strategyproof mechanisms with asymptotically tight bounds on the\\napproximation ratios.\",\"PeriodicalId\":501316,\"journal\":{\"name\":\"arXiv - CS - Computer Science and Game Theory\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Computer Science and Game Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.08993\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computer Science and Game Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mechanism Design for Extending the Accessibility of Facilities
We study a variation of facility location problems (FLPs) that aims to
improve the accessibility of agents to the facility within the context of
mechanism design without money. In such a variation, agents have preferences on
the ideal locations of the facility on a real line, and the facility's location
is fixed in advance where (re)locating the facility is not possible due to
various constraints (e.g., limited space and construction costs). To improve
the accessibility of agents to facilities, existing mechanism design literature
in FLPs has proposed to structurally modify the real line (e.g., by adding a
new interval) or provide shuttle services between two points when structural
modifications are not possible. In this paper, we focus on the latter approach
and propose to construct an accessibility range to extend the accessibility of
the facility. In the range, agents can receive accommodations (e.g., school
buses, campus shuttles, or pickup services) to help reach the facility.
Therefore, the cost of each agent is the distance from their ideal location to
the facility (possibility) through the range. We focus on designing
strategyproof mechanisms that elicit true ideal locations from the agents and
construct accessibility ranges (intervals) to approximately minimize the social
cost or the maximum cost of agents. For both social and maximum costs, we
design group strategyproof mechanisms with asymptotically tight bounds on the
approximation ratios.