Port congestion probability : port performance evaluation using cargo port choice equilibrium

Gespeichert in:

Autor*in:	Talley, Wayne K. [verfasserIn] Ng, ManWo [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Equilibrium Maritime Maritime economics Port choice Port congestion

Übergeordnetes Werk:	Enthalten in: Transportation research. E, Logistics and transportation review - Oxford : Pergamon, Elsevier Science, 1997, 185(2024) vom: Mai, Artikel-ID 103488, Seite 1-6
Übergeordnetes Werk:	volume:185 ; year:2024 ; month:05 ; elocationid:103488 ; pages:1-6

Links:	Link aufrufen Link aufrufen

DOI / URN:	10.1016/j.tre.2024.103488

Katalog-ID:	1906779406

Internformat


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publishDate	2024
allfields	10.1016/j.tre.2024.103488 doi (DE-627)1906779406 (DE-599)KXP1906779406 DE-627 ger DE-627 rda eng Talley, Wayne K. verfasserin (DE-588)170553450 (DE-627)060659033 (DE-576)131428977 aut Port congestion probability port performance evaluation using cargo port choice equilibrium Wayne K. Talley, ManWo Ng 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Equilibrium (dpeaa)DE-206 Maritime (dpeaa)DE-206 Maritime economics (dpeaa)DE-206 Port choice (dpeaa)DE-206 Port congestion (dpeaa)DE-206 Ng, ManWo verfasserin (DE-588)101486190X (DE-627)66758059X (DE-576)349768072 aut Enthalten in Transportation research. E, Logistics and transportation review Oxford : Pergamon, Elsevier Science, 1997 185(2024) vom: Mai, Artikel-ID 103488, Seite 1-6 Online-Ressource (DE-627)320514412 (DE-600)2013782-5 (DE-576)094058458 nnns volume:185 year:2024 month:05 elocationid:103488 pages:1-6 https://www.sciencedirect.com/science/article/pii/S1366554524000784/pdfft?md5=65f9961486a47eca18759e3063bf19a6&pid=1-s2.0-S1366554524000784-main.pdf Verlag lizenzpflichtig https://doi.org/10.1016/j.tre.2024.103488 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4313 GBV_ILN_4314 GBV_ILN_4315 GBV_ILN_4317 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4598 GBV_ILN_4700 AR 185 2024 5 103488 1-6 26 01 0206 4602273947 x1z 24-10-24 26 00 DE-206 This paper proposes and studies the port congestion probability as a new port performance measure for seaports. We build on the recently introduced theory of cargo port choice equilibrium, where shippers and cargo port service providers at seaports are making their port choices while taking into account each other’s decisions. A closed-form expression for the (worst-case) port congestion probability is derived under reasonable assumptions. Sensitivity analysis is conducted to demonstrate how the port congestion probability can be managed when it gets unacceptably large.
spelling	10.1016/j.tre.2024.103488 doi (DE-627)1906779406 (DE-599)KXP1906779406 DE-627 ger DE-627 rda eng Talley, Wayne K. verfasserin (DE-588)170553450 (DE-627)060659033 (DE-576)131428977 aut Port congestion probability port performance evaluation using cargo port choice equilibrium Wayne K. Talley, ManWo Ng 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Equilibrium (dpeaa)DE-206 Maritime (dpeaa)DE-206 Maritime economics (dpeaa)DE-206 Port choice (dpeaa)DE-206 Port congestion (dpeaa)DE-206 Ng, ManWo verfasserin (DE-588)101486190X (DE-627)66758059X (DE-576)349768072 aut Enthalten in Transportation research. E, Logistics and transportation review Oxford : Pergamon, Elsevier Science, 1997 185(2024) vom: Mai, Artikel-ID 103488, Seite 1-6 Online-Ressource (DE-627)320514412 (DE-600)2013782-5 (DE-576)094058458 nnns volume:185 year:2024 month:05 elocationid:103488 pages:1-6 https://www.sciencedirect.com/science/article/pii/S1366554524000784/pdfft?md5=65f9961486a47eca18759e3063bf19a6&pid=1-s2.0-S1366554524000784-main.pdf Verlag lizenzpflichtig https://doi.org/10.1016/j.tre.2024.103488 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4313 GBV_ILN_4314 GBV_ILN_4315 GBV_ILN_4317 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4598 GBV_ILN_4700 AR 185 2024 5 103488 1-6 26 01 0206 4602273947 x1z 24-10-24 26 00 DE-206 This paper proposes and studies the port congestion probability as a new port performance measure for seaports. We build on the recently introduced theory of cargo port choice equilibrium, where shippers and cargo port service providers at seaports are making their port choices while taking into account each other’s decisions. A closed-form expression for the (worst-case) port congestion probability is derived under reasonable assumptions. Sensitivity analysis is conducted to demonstrate how the port congestion probability can be managed when it gets unacceptably large.
allfields_unstemmed	10.1016/j.tre.2024.103488 doi (DE-627)1906779406 (DE-599)KXP1906779406 DE-627 ger DE-627 rda eng Talley, Wayne K. verfasserin (DE-588)170553450 (DE-627)060659033 (DE-576)131428977 aut Port congestion probability port performance evaluation using cargo port choice equilibrium Wayne K. Talley, ManWo Ng 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Equilibrium (dpeaa)DE-206 Maritime (dpeaa)DE-206 Maritime economics (dpeaa)DE-206 Port choice (dpeaa)DE-206 Port congestion (dpeaa)DE-206 Ng, ManWo verfasserin (DE-588)101486190X (DE-627)66758059X (DE-576)349768072 aut Enthalten in Transportation research. E, Logistics and transportation review Oxford : Pergamon, Elsevier Science, 1997 185(2024) vom: Mai, Artikel-ID 103488, Seite 1-6 Online-Ressource (DE-627)320514412 (DE-600)2013782-5 (DE-576)094058458 nnns volume:185 year:2024 month:05 elocationid:103488 pages:1-6 https://www.sciencedirect.com/science/article/pii/S1366554524000784/pdfft?md5=65f9961486a47eca18759e3063bf19a6&pid=1-s2.0-S1366554524000784-main.pdf Verlag lizenzpflichtig https://doi.org/10.1016/j.tre.2024.103488 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4313 GBV_ILN_4314 GBV_ILN_4315 GBV_ILN_4317 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4598 GBV_ILN_4700 AR 185 2024 5 103488 1-6 26 01 0206 4602273947 x1z 24-10-24 26 00 DE-206 This paper proposes and studies the port congestion probability as a new port performance measure for seaports. We build on the recently introduced theory of cargo port choice equilibrium, where shippers and cargo port service providers at seaports are making their port choices while taking into account each other’s decisions. A closed-form expression for the (worst-case) port congestion probability is derived under reasonable assumptions. Sensitivity analysis is conducted to demonstrate how the port congestion probability can be managed when it gets unacceptably large.
allfieldsGer	10.1016/j.tre.2024.103488 doi (DE-627)1906779406 (DE-599)KXP1906779406 DE-627 ger DE-627 rda eng Talley, Wayne K. verfasserin (DE-588)170553450 (DE-627)060659033 (DE-576)131428977 aut Port congestion probability port performance evaluation using cargo port choice equilibrium Wayne K. Talley, ManWo Ng 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Equilibrium (dpeaa)DE-206 Maritime (dpeaa)DE-206 Maritime economics (dpeaa)DE-206 Port choice (dpeaa)DE-206 Port congestion (dpeaa)DE-206 Ng, ManWo verfasserin (DE-588)101486190X (DE-627)66758059X (DE-576)349768072 aut Enthalten in Transportation research. E, Logistics and transportation review Oxford : Pergamon, Elsevier Science, 1997 185(2024) vom: Mai, Artikel-ID 103488, Seite 1-6 Online-Ressource (DE-627)320514412 (DE-600)2013782-5 (DE-576)094058458 nnns volume:185 year:2024 month:05 elocationid:103488 pages:1-6 https://www.sciencedirect.com/science/article/pii/S1366554524000784/pdfft?md5=65f9961486a47eca18759e3063bf19a6&pid=1-s2.0-S1366554524000784-main.pdf Verlag lizenzpflichtig https://doi.org/10.1016/j.tre.2024.103488 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4313 GBV_ILN_4314 GBV_ILN_4315 GBV_ILN_4317 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4598 GBV_ILN_4700 AR 185 2024 5 103488 1-6 26 01 0206 4602273947 x1z 24-10-24 26 00 DE-206 This paper proposes and studies the port congestion probability as a new port performance measure for seaports. We build on the recently introduced theory of cargo port choice equilibrium, where shippers and cargo port service providers at seaports are making their port choices while taking into account each other’s decisions. A closed-form expression for the (worst-case) port congestion probability is derived under reasonable assumptions. Sensitivity analysis is conducted to demonstrate how the port congestion probability can be managed when it gets unacceptably large.
allfieldsSound	10.1016/j.tre.2024.103488 doi (DE-627)1906779406 (DE-599)KXP1906779406 DE-627 ger DE-627 rda eng Talley, Wayne K. verfasserin (DE-588)170553450 (DE-627)060659033 (DE-576)131428977 aut Port congestion probability port performance evaluation using cargo port choice equilibrium Wayne K. Talley, ManWo Ng 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Equilibrium (dpeaa)DE-206 Maritime (dpeaa)DE-206 Maritime economics (dpeaa)DE-206 Port choice (dpeaa)DE-206 Port congestion (dpeaa)DE-206 Ng, ManWo verfasserin (DE-588)101486190X (DE-627)66758059X (DE-576)349768072 aut Enthalten in Transportation research. E, Logistics and transportation review Oxford : Pergamon, Elsevier Science, 1997 185(2024) vom: Mai, Artikel-ID 103488, Seite 1-6 Online-Ressource (DE-627)320514412 (DE-600)2013782-5 (DE-576)094058458 nnns volume:185 year:2024 month:05 elocationid:103488 pages:1-6 https://www.sciencedirect.com/science/article/pii/S1366554524000784/pdfft?md5=65f9961486a47eca18759e3063bf19a6&pid=1-s2.0-S1366554524000784-main.pdf Verlag lizenzpflichtig https://doi.org/10.1016/j.tre.2024.103488 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4313 GBV_ILN_4314 GBV_ILN_4315 GBV_ILN_4317 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4598 GBV_ILN_4700 AR 185 2024 5 103488 1-6 26 01 0206 4602273947 x1z 24-10-24 26 00 DE-206 This paper proposes and studies the port congestion probability as a new port performance measure for seaports. We build on the recently introduced theory of cargo port choice equilibrium, where shippers and cargo port service providers at seaports are making their port choices while taking into account each other’s decisions. A closed-form expression for the (worst-case) port congestion probability is derived under reasonable assumptions. Sensitivity analysis is conducted to demonstrate how the port congestion probability can be managed when it gets unacceptably large.
language	English
source	Enthalten in Transportation research. E, Logistics and transportation review 185(2024) vom: Mai, Artikel-ID 103488, Seite 1-6 volume:185 year:2024 month:05 elocationid:103488 pages:1-6
sourceStr	Enthalten in Transportation research. E, Logistics and transportation review 185(2024) vom: Mai, Artikel-ID 103488, Seite 1-6 volume:185 year:2024 month:05 elocationid:103488 pages:1-6
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institution	findex.gbv.de
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topic_facet	Equilibrium Maritime Maritime economics Port choice Port congestion
sw_local_iln_str_mv	26: DE-206:
isfreeaccess_bool	false
container_title	Transportation research. E, Logistics and transportation review
authorswithroles_txt_mv	Talley, Wayne K. @@aut@@ Ng, ManWo @@aut@@
publishDateDaySort_date	2024-05-01T00:00:00Z
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author	Talley, Wayne K.
spellingShingle	Talley, Wayne K. misc Equilibrium misc Maritime misc Maritime economics misc Port choice misc Port congestion Port congestion probability port performance evaluation using cargo port choice equilibrium
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topic_title	26 00 DE-206 This paper proposes and studies the port congestion probability as a new port performance measure for seaports. We build on the recently introduced theory of cargo port choice equilibrium, where shippers and cargo port service providers at seaports are making their port choices while taking into account each other’s decisions. A closed-form expression for the (worst-case) port congestion probability is derived under reasonable assumptions. Sensitivity analysis is conducted to demonstrate how the port congestion probability can be managed when it gets unacceptably large Port congestion probability port performance evaluation using cargo port choice equilibrium Wayne K. Talley, ManWo Ng Equilibrium (dpeaa)DE-206 Maritime (dpeaa)DE-206 Maritime economics (dpeaa)DE-206 Port choice (dpeaa)DE-206 Port congestion (dpeaa)DE-206
topic	misc Equilibrium misc Maritime misc Maritime economics misc Port choice misc Port congestion
topic_unstemmed	misc Equilibrium misc Maritime misc Maritime economics misc Port choice misc Port congestion
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title_full	Port congestion probability port performance evaluation using cargo port choice equilibrium Wayne K. Talley, ManWo Ng
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title_auth	Port congestion probability port performance evaluation using cargo port choice equilibrium
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title_short	Port congestion probability
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Port congestion probability : port performance evaluation using cargo port choice equilibrium

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