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Title:
A hierarchical location-allocation model with travel based on expected referral distances | Annals of Operations Research
Description:
The hierarchical p-median location-allocation model assumes that patrons always travel to the closest facility of appropriate level and that their interests are best served when the distances they must travel to do this are minimized. This assumption about travel behavior is unrealistic, patrons in the real world are known, for instance, to bypass lower level facilities that can serve their needs to attend higher level facilities. We introduce the concept of “expected distance under referral” to deal with such irrationality and incorporate it into a location-allocation model that minimizes the negative effects of such irrational behavior. We demonstrate the model with several types of non-optimal travel behavior.
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Keywords {🔍}
article, google, scholar, locationallocation, hodgson, models, hierarchical, model, spatial, research, health, interaction, doi, social, science, travel, planning, privacy, cookies, content, facilities, distance, access, medicine, environment, doia, analysis, journal, publish, search, annals, operations, based, expected, jacobsen, facility, problem, location, geography, regional, medline, university, oppong, springer, choice, data, information, log, referral, distances,
Topics {✒️}
interaction-based location-allocation model reliable p-median problem month download article/chapter hierarchical location-allocation model hierarchal location-allocation problem hierarchical location-allocation systems related subjects multiple-stop delivery problem world location-allocation applications facility location models hierarchical location models location-allocation model hierarchical location-allocation location-allocation models location-allocation problem article google scholar socio-economic planning sciences privacy choices/manage cookies full article pdf spatial interaction models generalized vertex median spatial interaction modelling hierarchical inclusive system central place theory expected distance model operations research aims european economic area scope submit manuscript van nostrand-reinhold die zentralen orte conditions privacy policy geography health care facilities applied geographic studies expected referral distances accepting optional cookies inverse distance variation google scholar main content log article hodgson solution alternative approaches johns hopkins university optimal travel behavior spatial accessibility heuristic methods john hodgson journal finder publish article annals author correspondence
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headline:A hierarchical location-allocation model with travel based on expected referral distances
description:The hierarchical p-median location-allocation model assumes that patrons always travel to the closest facility of appropriate level and that their interests are best served when the distances they must travel to do this are minimized. This assumption about travel behavior is unrealistic, patrons in the real world are known, for instance, to bypass lower level facilities that can serve their needs to attend higher level facilities. We introduce the concept of “expected distance under referral” to deal with such irrationality and incorporate it into a location-allocation model that minimizes the negative effects of such irrational behavior. We demonstrate the model with several types of non-optimal travel behavior.
datePublished:2008-07-02T00:00:00Z
dateModified:2008-07-02T00:00:00Z
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headline:A hierarchical location-allocation model with travel based on expected referral distances
description:The hierarchical p-median location-allocation model assumes that patrons always travel to the closest facility of appropriate level and that their interests are best served when the distances they must travel to do this are minimized. This assumption about travel behavior is unrealistic, patrons in the real world are known, for instance, to bypass lower level facilities that can serve their needs to attend higher level facilities. We introduce the concept of “expected distance under referral” to deal with such irrationality and incorporate it into a location-allocation model that minimizes the negative effects of such irrational behavior. We demonstrate the model with several types of non-optimal travel behavior.
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Combinatorics
Theory of Computation
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