Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems
Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems Zhi (Aaron) Cheng, Min-Seok Pang, Paul A. Pavlou While massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) h...
Gespeichert in:
| Veröffentlicht in: | Information systems research 2020-09, Vol.31 (3), p.653-674 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 674 |
|---|---|
| container_issue | 3 |
| container_start_page | 653 |
| container_title | Information systems research |
| container_volume | 31 |
| creator | Cheng, Zhi (Aaron) Pang, Min-Seok Pavlou, Paul A. |
| description | Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems
Zhi (Aaron) Cheng, Min-Seok Pang, Paul A. Pavlou
While massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) have been proposed as a potential solution to this challenge, but their effectiveness has remained unclear. To examine whether and how ITS affect traffic congestion, we study traffic congestion and the deployment of a large federally supported ITS program in the United States—511 systems—in 99 urban areas between 1994 and 2014. We find that the adoption of 511 systems is associated with a significant decrease in traffic congestion, saving over $4.7 billion dollars and 175 million hours in travel time annually in U.S. cities. 511 systems also reduce about 53 million gallons of fossil fuel consumption and over 10 billion pounds of CO
2
emissions. We show abundant evidence that ITS help individual commuters to make better travel decisions, and that ITS help local governments to develop an urban traffic management capability. We also observe that the traffic-reducing effect of ITS is larger with more actual usage of the online services and when state and local governments incorporate more informative functionalities into the 511 systems. This study informs policymakers of ITS as a cost-effective means to mitigating traffic congestion.
Despite massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) have been proposed as a potential solution to this challenge, but their effectiveness has remained unclear in both research and practice. To understand whether and how ITS affect traffic congestion, we consolidate a unique longitudinal data set on road traffic and the deployment of a large federally supported ITS program in the United States—511 systems—in 99 urban areas between 1994 and 2014. The difference-in-differences estimates show that the adoption of 511 systems is associated with a significant decrease in traffic congestion, saving over $4.7 billion dollars and 175 million hours in travel time annually in U.S. cities. 511 systems also reduce about 53 million gallons of fossil fuel consumption and over 10 billion pounds of CO
2
emissions. We offer two theoretical explanations for this effect: (i) ITS help individual commuters to make better travel decisions, |
| doi_str_mv | 10.1287/isre.2019.0894 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_cross</sourceid><recordid>TN_cdi_gale_incontextgauss__A637226461</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A637226461</galeid><sourcerecordid>A637226461</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-2eb1e895c474f3c1753294b70f0339e08dc5f8719d34d8e2cb7016ec85ae19a83</originalsourceid><addsrcrecordid>eNqFkEtLAzEURoMoWKtb1wOCuxnzmknGXSk-Ci2C1nVI02RMmSY1ScH-ezOMezdJ4J4v994DwC2CFcKcPdgYdIUhaivIW3oGJqjGTVnXpDnPb0hZyfJxCa5i3EEICWnJBKxWNtlOJuu6Yh2kMVYVc-86HZP17rFYf-ni3fe68KZYuKT73nbapYF18eBDkgNXfJxi0vt4DS6M7KO--bun4PP5aT1_LZdvL4v5bFkqCnkqsd4gzdtaUUYNUYjVBLd0w6AZptKQb1VtOEPtltAt11jlEmq04rXUqJWcTMHd-O8h-O9jnlXs_DG43FJgSpucRJRm6n6kOtlrYZ3yeYGf1MljjELMGsIwbmiDMliNoAo-ZotGHILdy3ASCIrBrRjcisGtGNzmQDkGrDM-7ON__C_Q7Hr1</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2446719144</pqid></control><display><type>article</type><title>Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems</title><source>Informs</source><creator>Cheng, Zhi (Aaron) ; Pang, Min-Seok ; Pavlou, Paul A.</creator><creatorcontrib>Cheng, Zhi (Aaron) ; Pang, Min-Seok ; Pavlou, Paul A.</creatorcontrib><description>Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems
Zhi (Aaron) Cheng, Min-Seok Pang, Paul A. Pavlou
While massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) have been proposed as a potential solution to this challenge, but their effectiveness has remained unclear. To examine whether and how ITS affect traffic congestion, we study traffic congestion and the deployment of a large federally supported ITS program in the United States—511 systems—in 99 urban areas between 1994 and 2014. We find that the adoption of 511 systems is associated with a significant decrease in traffic congestion, saving over $4.7 billion dollars and 175 million hours in travel time annually in U.S. cities. 511 systems also reduce about 53 million gallons of fossil fuel consumption and over 10 billion pounds of CO
2
emissions. We show abundant evidence that ITS help individual commuters to make better travel decisions, and that ITS help local governments to develop an urban traffic management capability. We also observe that the traffic-reducing effect of ITS is larger with more actual usage of the online services and when state and local governments incorporate more informative functionalities into the 511 systems. This study informs policymakers of ITS as a cost-effective means to mitigating traffic congestion.
Despite massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) have been proposed as a potential solution to this challenge, but their effectiveness has remained unclear in both research and practice. To understand whether and how ITS affect traffic congestion, we consolidate a unique longitudinal data set on road traffic and the deployment of a large federally supported ITS program in the United States—511 systems—in 99 urban areas between 1994 and 2014. The difference-in-differences estimates show that the adoption of 511 systems is associated with a significant decrease in traffic congestion, saving over $4.7 billion dollars and 175 million hours in travel time annually in U.S. cities. 511 systems also reduce about 53 million gallons of fossil fuel consumption and over 10 billion pounds of CO
2
emissions. We offer two theoretical explanations for this effect: (i) ITS help individual commuters to make better travel decisions, and (ii) ITS help local governments to develop an urban traffic management capability. Empirical evidence supports the underlying theoretical mechanisms and shows that ITS help commuters to schedule travel more efficiently, choose better navigation routes, and optimize their work-trip transportation mode. Second, the effect of ITS is contingent on road supply and public transit services. We also find that the traffic-reducing effect of ITS is larger when commuters use more online services for traffic information and when state governments incorporate more functionalities into their 511 systems. This study contributes to the literature on IT capabilities, public-sector IT value, and the societal impact of IT, while also extending the transportation economics to IT-enabled traffic interventions. Finally, we inform policymakers of ITS as a cost-effective means to mitigating traffic congestion.</description><identifier>ISSN: 1047-7047</identifier><identifier>EISSN: 1526-5536</identifier><identifier>DOI: 10.1287/isre.2019.0894</identifier><language>eng</language><publisher>Linthicum: INFORMS</publisher><subject>difference-in-differences ; Energy consumption ; Fossil fuels ; Impact analysis ; Infrastructure (Economics) ; Intelligent transportation systems ; IT value ; Public policy ; Public transportation ; Ride sharing services ; Schedules ; Social aspects ; Traffic congestion ; Traffic flow ; Traffic information ; Traffic management ; Transportation ; Transportation authorities ; transportation economics ; Transportation engineering ; Transportation industry ; Transportation policy ; Travel time ; Urban areas</subject><ispartof>Information systems research, 2020-09, Vol.31 (3), p.653-674</ispartof><rights>Copyright Institute for Operations Research and the Management Sciences Sep 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-2eb1e895c474f3c1753294b70f0339e08dc5f8719d34d8e2cb7016ec85ae19a83</citedby><cites>FETCH-LOGICAL-c408t-2eb1e895c474f3c1753294b70f0339e08dc5f8719d34d8e2cb7016ec85ae19a83</cites><orcidid>0000-0002-8830-5727 ; 0000-0001-9384-6707 ; 0000-0001-9010-6260</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubsonline.informs.org/doi/full/10.1287/isre.2019.0894$$EHTML$$P50$$Ginforms$$H</linktohtml><link.rule.ids>314,780,784,3692,27924,27925,62616</link.rule.ids></links><search><creatorcontrib>Cheng, Zhi (Aaron)</creatorcontrib><creatorcontrib>Pang, Min-Seok</creatorcontrib><creatorcontrib>Pavlou, Paul A.</creatorcontrib><title>Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems</title><title>Information systems research</title><description>Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems
Zhi (Aaron) Cheng, Min-Seok Pang, Paul A. Pavlou
While massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) have been proposed as a potential solution to this challenge, but their effectiveness has remained unclear. To examine whether and how ITS affect traffic congestion, we study traffic congestion and the deployment of a large federally supported ITS program in the United States—511 systems—in 99 urban areas between 1994 and 2014. We find that the adoption of 511 systems is associated with a significant decrease in traffic congestion, saving over $4.7 billion dollars and 175 million hours in travel time annually in U.S. cities. 511 systems also reduce about 53 million gallons of fossil fuel consumption and over 10 billion pounds of CO
2
emissions. We show abundant evidence that ITS help individual commuters to make better travel decisions, and that ITS help local governments to develop an urban traffic management capability. We also observe that the traffic-reducing effect of ITS is larger with more actual usage of the online services and when state and local governments incorporate more informative functionalities into the 511 systems. This study informs policymakers of ITS as a cost-effective means to mitigating traffic congestion.
Despite massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) have been proposed as a potential solution to this challenge, but their effectiveness has remained unclear in both research and practice. To understand whether and how ITS affect traffic congestion, we consolidate a unique longitudinal data set on road traffic and the deployment of a large federally supported ITS program in the United States—511 systems—in 99 urban areas between 1994 and 2014. The difference-in-differences estimates show that the adoption of 511 systems is associated with a significant decrease in traffic congestion, saving over $4.7 billion dollars and 175 million hours in travel time annually in U.S. cities. 511 systems also reduce about 53 million gallons of fossil fuel consumption and over 10 billion pounds of CO
2
emissions. We offer two theoretical explanations for this effect: (i) ITS help individual commuters to make better travel decisions, and (ii) ITS help local governments to develop an urban traffic management capability. Empirical evidence supports the underlying theoretical mechanisms and shows that ITS help commuters to schedule travel more efficiently, choose better navigation routes, and optimize their work-trip transportation mode. Second, the effect of ITS is contingent on road supply and public transit services. We also find that the traffic-reducing effect of ITS is larger when commuters use more online services for traffic information and when state governments incorporate more functionalities into their 511 systems. This study contributes to the literature on IT capabilities, public-sector IT value, and the societal impact of IT, while also extending the transportation economics to IT-enabled traffic interventions. Finally, we inform policymakers of ITS as a cost-effective means to mitigating traffic congestion.</description><subject>difference-in-differences</subject><subject>Energy consumption</subject><subject>Fossil fuels</subject><subject>Impact analysis</subject><subject>Infrastructure (Economics)</subject><subject>Intelligent transportation systems</subject><subject>IT value</subject><subject>Public policy</subject><subject>Public transportation</subject><subject>Ride sharing services</subject><subject>Schedules</subject><subject>Social aspects</subject><subject>Traffic congestion</subject><subject>Traffic flow</subject><subject>Traffic information</subject><subject>Traffic management</subject><subject>Transportation</subject><subject>Transportation authorities</subject><subject>transportation economics</subject><subject>Transportation engineering</subject><subject>Transportation industry</subject><subject>Transportation policy</subject><subject>Travel time</subject><subject>Urban areas</subject><issn>1047-7047</issn><issn>1526-5536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLAzEURoMoWKtb1wOCuxnzmknGXSk-Ci2C1nVI02RMmSY1ScH-ezOMezdJ4J4v994DwC2CFcKcPdgYdIUhaivIW3oGJqjGTVnXpDnPb0hZyfJxCa5i3EEICWnJBKxWNtlOJuu6Yh2kMVYVc-86HZP17rFYf-ni3fe68KZYuKT73nbapYF18eBDkgNXfJxi0vt4DS6M7KO--bun4PP5aT1_LZdvL4v5bFkqCnkqsd4gzdtaUUYNUYjVBLd0w6AZptKQb1VtOEPtltAt11jlEmq04rXUqJWcTMHd-O8h-O9jnlXs_DG43FJgSpucRJRm6n6kOtlrYZ3yeYGf1MljjELMGsIwbmiDMliNoAo-ZotGHILdy3ASCIrBrRjcisGtGNzmQDkGrDM-7ON__C_Q7Hr1</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Cheng, Zhi (Aaron)</creator><creator>Pang, Min-Seok</creator><creator>Pavlou, Paul A.</creator><general>INFORMS</general><general>Institute for Operations Research and the Management Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope><orcidid>https://orcid.org/0000-0002-8830-5727</orcidid><orcidid>https://orcid.org/0000-0001-9384-6707</orcidid><orcidid>https://orcid.org/0000-0001-9010-6260</orcidid></search><sort><creationdate>20200901</creationdate><title>Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems</title><author>Cheng, Zhi (Aaron) ; Pang, Min-Seok ; Pavlou, Paul A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-2eb1e895c474f3c1753294b70f0339e08dc5f8719d34d8e2cb7016ec85ae19a83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>difference-in-differences</topic><topic>Energy consumption</topic><topic>Fossil fuels</topic><topic>Impact analysis</topic><topic>Infrastructure (Economics)</topic><topic>Intelligent transportation systems</topic><topic>IT value</topic><topic>Public policy</topic><topic>Public transportation</topic><topic>Ride sharing services</topic><topic>Schedules</topic><topic>Social aspects</topic><topic>Traffic congestion</topic><topic>Traffic flow</topic><topic>Traffic information</topic><topic>Traffic management</topic><topic>Transportation</topic><topic>Transportation authorities</topic><topic>transportation economics</topic><topic>Transportation engineering</topic><topic>Transportation industry</topic><topic>Transportation policy</topic><topic>Travel time</topic><topic>Urban areas</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Zhi (Aaron)</creatorcontrib><creatorcontrib>Pang, Min-Seok</creatorcontrib><creatorcontrib>Pavlou, Paul A.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Information systems research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheng, Zhi (Aaron)</au><au>Pang, Min-Seok</au><au>Pavlou, Paul A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems</atitle><jtitle>Information systems research</jtitle><date>2020-09-01</date><risdate>2020</risdate><volume>31</volume><issue>3</issue><spage>653</spage><epage>674</epage><pages>653-674</pages><issn>1047-7047</issn><eissn>1526-5536</eissn><abstract>Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems
Zhi (Aaron) Cheng, Min-Seok Pang, Paul A. Pavlou
While massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) have been proposed as a potential solution to this challenge, but their effectiveness has remained unclear. To examine whether and how ITS affect traffic congestion, we study traffic congestion and the deployment of a large federally supported ITS program in the United States—511 systems—in 99 urban areas between 1994 and 2014. We find that the adoption of 511 systems is associated with a significant decrease in traffic congestion, saving over $4.7 billion dollars and 175 million hours in travel time annually in U.S. cities. 511 systems also reduce about 53 million gallons of fossil fuel consumption and over 10 billion pounds of CO
2
emissions. We show abundant evidence that ITS help individual commuters to make better travel decisions, and that ITS help local governments to develop an urban traffic management capability. We also observe that the traffic-reducing effect of ITS is larger with more actual usage of the online services and when state and local governments incorporate more informative functionalities into the 511 systems. This study informs policymakers of ITS as a cost-effective means to mitigating traffic congestion.
Despite massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) have been proposed as a potential solution to this challenge, but their effectiveness has remained unclear in both research and practice. To understand whether and how ITS affect traffic congestion, we consolidate a unique longitudinal data set on road traffic and the deployment of a large federally supported ITS program in the United States—511 systems—in 99 urban areas between 1994 and 2014. The difference-in-differences estimates show that the adoption of 511 systems is associated with a significant decrease in traffic congestion, saving over $4.7 billion dollars and 175 million hours in travel time annually in U.S. cities. 511 systems also reduce about 53 million gallons of fossil fuel consumption and over 10 billion pounds of CO
2
emissions. We offer two theoretical explanations for this effect: (i) ITS help individual commuters to make better travel decisions, and (ii) ITS help local governments to develop an urban traffic management capability. Empirical evidence supports the underlying theoretical mechanisms and shows that ITS help commuters to schedule travel more efficiently, choose better navigation routes, and optimize their work-trip transportation mode. Second, the effect of ITS is contingent on road supply and public transit services. We also find that the traffic-reducing effect of ITS is larger when commuters use more online services for traffic information and when state governments incorporate more functionalities into their 511 systems. This study contributes to the literature on IT capabilities, public-sector IT value, and the societal impact of IT, while also extending the transportation economics to IT-enabled traffic interventions. Finally, we inform policymakers of ITS as a cost-effective means to mitigating traffic congestion.</abstract><cop>Linthicum</cop><pub>INFORMS</pub><doi>10.1287/isre.2019.0894</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0002-8830-5727</orcidid><orcidid>https://orcid.org/0000-0001-9384-6707</orcidid><orcidid>https://orcid.org/0000-0001-9010-6260</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1047-7047 |
| ispartof | Information systems research, 2020-09, Vol.31 (3), p.653-674 |
| issn | 1047-7047 1526-5536 |
| language | eng |
| recordid | cdi_gale_incontextgauss__A637226461 |
| source | Informs |
| subjects | difference-in-differences Energy consumption Fossil fuels Impact analysis Infrastructure (Economics) Intelligent transportation systems IT value Public policy Public transportation Ride sharing services Schedules Social aspects Traffic congestion Traffic flow Traffic information Traffic management Transportation Transportation authorities transportation economics Transportation engineering Transportation industry Transportation policy Travel time Urban areas |
| title | Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T18%3A46%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mitigating%20Traffic%20Congestion:%20The%20Role%20of%20Intelligent%20Transportation%20Systems&rft.jtitle=Information%20systems%20research&rft.au=Cheng,%20Zhi%20(Aaron)&rft.date=2020-09-01&rft.volume=31&rft.issue=3&rft.spage=653&rft.epage=674&rft.pages=653-674&rft.issn=1047-7047&rft.eissn=1526-5536&rft_id=info:doi/10.1287/isre.2019.0894&rft_dat=%3Cgale_cross%3EA637226461%3C/gale_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2446719144&rft_id=info:pmid/&rft_galeid=A637226461&rfr_iscdi=true |