An experimental study of the Online Information Paradox: Does en-route information improve road network performance?
Identifieur interne : 000600 ( PubMed/Curation ); précédent : 000599; suivant : 000601An experimental study of the Online Information Paradox: Does en-route information improve road network performance?
Auteurs : Kasun P. Wijayaratna [Australie] ; Vinayak V. Dixit [Australie] ; Laurent Denant-Boemont [France] ; S Travis Waller [Australie]Source :
- PloS one [ 1932-6203 ] ; 2017.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- methods : Information Dissemination, Transportation.
- physiology : Choice Behavior.
- standards : Information Services, Transportation.
- Computer Simulation, Computer-Assisted Instruction, Humans, Maps as Topic, Models, Theoretical, Online Systems.
Abstract
This study investigates the empirical presence of a theoretical transportation paradox, defined as the "Online Information Paradox" (OIP). The paradox suggests that, for certain road networks, the provision of online information deteriorate travel conditions for all users of that network relative to the situation where no online information is provided to users. The analytical presence of the paradox was derived for a specific network structure by using two equilibrium models, the first being the Expected User Equilibrium (EUE) solution (no information scenario) and the other being the User Equilibrium with Recourse (UER) solution (with information scenario). An incentivised computerised route choice game was designed using the concepts of experimental economics and administered in a controlled laboratory environment to investigate the physical presence of the paradox. Aggregate statistics of path flows and Total System Travel Costs (TSTC) were used to compare the experimental results with the theoretical findings. A total of 12 groups of 12 participants completed the experiment and the OIP and the occurrence of the OIP being significant was observed in 11 of the 12 cases. Though information increased travel costs for users on average, it reduced the volatility of travel costs experienced in the no information scenario indicating that information can achieve a more reliable system. Further replications of similar experiments and more importantly field based identification of the phenomena will force transport professionals to be aware of the emergence of the paradox. In addition, studies such as this emphasise the need for the adoption of adaptive traffic assignment techniques to appropriately model the acquisition of information on a road network.
DOI: 10.1371/journal.pone.0184191
PubMed: 28902854
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Dixit</name><affiliation wicri:level="1"><nlm:affiliation>Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales, Sydney</wicri:regionArea></affiliation></author><author><name sortKey="Denant Boemont, Laurent" sort="Denant Boemont, Laurent" uniqKey="Denant Boemont L" first="Laurent" last="Denant-Boemont">Laurent Denant-Boemont</name><affiliation wicri:level="1"><nlm:affiliation>University of Rennes1, Department of Economics, Center for Research in Economics and Management (CREM-CNRS), Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>University of Rennes1, Department of Economics, Center for Research in Economics and Management (CREM-CNRS), Rennes</wicri:regionArea></affiliation></author><author><name sortKey="Waller, S Travis" sort="Waller, S Travis" uniqKey="Waller S" first="S Travis" last="Waller">S Travis Waller</name><affiliation wicri:level="1"><nlm:affiliation>Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales, Sydney</wicri:regionArea></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Choice Behavior (physiology)</term><term>Computer Simulation</term><term>Computer-Assisted Instruction</term><term>Humans</term><term>Information Dissemination (methods)</term><term>Information Services (standards)</term><term>Maps as Topic</term><term>Models, Theoretical</term><term>Online Systems</term><term>Transportation (methods)</term><term>Transportation (standards)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Cartes comme sujet</term><term>Comportement de choix (physiologie)</term><term>Diffusion de l'information ()</term><term>Enseignement assisté par ordinateur</term><term>Humains</term><term>Modèles théoriques</term><term>Services d'information (normes)</term><term>Simulation numérique</term><term>Systèmes en direct</term><term>Transports ()</term><term>Transports (normes)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Information Dissemination</term><term>Transportation</term></keywords><keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Services d'information</term><term>Transports</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Comportement de choix</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Choice Behavior</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Information Services</term><term>Transportation</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Computer Simulation</term><term>Computer-Assisted Instruction</term><term>Humans</term><term>Maps as Topic</term><term>Models, Theoretical</term><term>Online Systems</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Cartes comme sujet</term><term>Diffusion de l'information</term><term>Enseignement assisté par ordinateur</term><term>Humains</term><term>Modèles théoriques</term><term>Simulation numérique</term><term>Systèmes en direct</term><term>Transports</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This study investigates the empirical presence of a theoretical transportation paradox, defined as the "Online Information Paradox" (OIP). The paradox suggests that, for certain road networks, the provision of online information deteriorate travel conditions for all users of that network relative to the situation where no online information is provided to users. The analytical presence of the paradox was derived for a specific network structure by using two equilibrium models, the first being the Expected User Equilibrium (EUE) solution (no information scenario) and the other being the User Equilibrium with Recourse (UER) solution (with information scenario). An incentivised computerised route choice game was designed using the concepts of experimental economics and administered in a controlled laboratory environment to investigate the physical presence of the paradox. Aggregate statistics of path flows and Total System Travel Costs (TSTC) were used to compare the experimental results with the theoretical findings. A total of 12 groups of 12 participants completed the experiment and the OIP and the occurrence of the OIP being significant was observed in 11 of the 12 cases. Though information increased travel costs for users on average, it reduced the volatility of travel costs experienced in the no information scenario indicating that information can achieve a more reliable system. Further replications of similar experiments and more importantly field based identification of the phenomena will force transport professionals to be aware of the emergence of the paradox. In addition, studies such as this emphasise the need for the adoption of adaptive traffic assignment techniques to appropriately model the acquisition of information on a road network.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28902854</PMID><DateCreated><Year>2017</Year><Month>09</Month><Day>13</Day></DateCreated><DateCompleted><Year>2017</Year><Month>10</Month><Day>31</Day></DateCompleted><DateRevised><Year>2017</Year><Month>10</Month><Day>31</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>12</Volume><Issue>9</Issue><PubDate><Year>2017</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>An experimental study of the Online Information Paradox: Does en-route information improve road network performance?</ArticleTitle><Pagination><MedlinePgn>e0184191</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0184191</ELocationID><Abstract><AbstractText>This study investigates the empirical presence of a theoretical transportation paradox, defined as the "Online Information Paradox" (OIP). The paradox suggests that, for certain road networks, the provision of online information deteriorate travel conditions for all users of that network relative to the situation where no online information is provided to users. The analytical presence of the paradox was derived for a specific network structure by using two equilibrium models, the first being the Expected User Equilibrium (EUE) solution (no information scenario) and the other being the User Equilibrium with Recourse (UER) solution (with information scenario). An incentivised computerised route choice game was designed using the concepts of experimental economics and administered in a controlled laboratory environment to investigate the physical presence of the paradox. Aggregate statistics of path flows and Total System Travel Costs (TSTC) were used to compare the experimental results with the theoretical findings. A total of 12 groups of 12 participants completed the experiment and the OIP and the occurrence of the OIP being significant was observed in 11 of the 12 cases. Though information increased travel costs for users on average, it reduced the volatility of travel costs experienced in the no information scenario indicating that information can achieve a more reliable system. Further replications of similar experiments and more importantly field based identification of the phenomena will force transport professionals to be aware of the emergence of the paradox. In addition, studies such as this emphasise the need for the adoption of adaptive traffic assignment techniques to appropriately model the acquisition of information on a road network.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wijayaratna</LastName><ForeName>Kasun P</ForeName><Initials>KP</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-4604-7256</Identifier><AffiliationInfo><Affiliation>Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dixit</LastName><ForeName>Vinayak V</ForeName><Initials>VV</Initials><AffiliationInfo><Affiliation>Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Denant-Boemont</LastName><ForeName>Laurent</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>University of Rennes1, Department of Economics, Center for Research in Economics and Management (CREM-CNRS), Rennes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Waller</LastName><ForeName>S Travis</ForeName><Initials>ST</Initials><AffiliationInfo><Affiliation>Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>09</Month><Day>13</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Accid Anal Prev. 2016 Sep;94:135-42</RefSource><PMID Version="1">27289391</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D002755" MajorTopicYN="N">Choice Behavior</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003198" MajorTopicYN="N">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003194" MajorTopicYN="Y">Computer-Assisted Instruction</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D033181" MajorTopicYN="N">Information Dissemination</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007255" MajorTopicYN="N">Information Services</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="N">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008377" MajorTopicYN="N">Maps as Topic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="N">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009862" MajorTopicYN="Y">Online Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014186" MajorTopicYN="Y">Transportation</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName><QualifierName UI="Q000592" MajorTopicYN="N">standards</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>03</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>08</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>9</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>9</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>11</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28902854</ArticleId><ArticleId IdType="doi">10.1371/journal.pone.0184191</ArticleId><ArticleId IdType="pii">PONE-D-17-10734</ArticleId><ArticleId IdType="pmc">PMC5597203</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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