Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach

Air transportation is reported to have the highest CO2 emission per passenger kilometer compared to other modes of travel. Although prior studies have analyzed the impact of high-speed rail (HSR) on the aviation sector, this study is one of the first to develop a simulation model to evaluate the cur...
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Autor*in:	Suchithra Rajendran [verfasserIn] Maximilian Popfinger [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	High-speed rail (HSR) Short-haul air transport Substitutability CO2 emission Simulation model

Übergeordnetes Werk:	In: Transportation Research Interdisciplinary Perspectives - Elsevier, 2020, 15(2022), Seite 100632-
Übergeordnetes Werk:	volume:15 ; year:2022 ; pages:100632-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.trip.2022.100632

Katalog-ID:	DOAJ022692444

Internformat


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520			\|a Air transportation is reported to have the highest CO2 emission per passenger kilometer compared to other modes of travel. Although prior studies have analyzed the impact of high-speed rail (HSR) on the aviation sector, this study is one of the first to develop a simulation model to evaluate the current HSR system, and determine the extent to which the existing rail network can handle additional passengers, if short-haul airline customers were to avail of HSR service. This study also proposes recommendations for future HSR schedules and rail capacities, as well. A Define, Measure, Analyze, Design, and Verify (DMADV) approach is developed for (a) conceptualizing the problem, (b) collecting data from different sources, (c) developing the simulation model, and (d) evaluating the results and deriving managerial recommendations. For the purpose of illustrating the proposed approach, we discuss a case study considering the passenger travel between two major European cities, Munich and Paris. It can be observed that the current railway operations between Munich and Paris could only handle 25% additional customers. If 50%, 75% and 100% of current air customers were to switch to HSR, then it is recommended to operate one (evening), two (one afternoon and one evening), and three (two afternoon and one evening) additional trains, respectively. Furthermore, this study shows that a complete customer transition from air to rail could save 56.8% in CO2 emission.
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allfields	10.1016/j.trip.2022.100632 doi (DE-627)DOAJ022692444 (DE-599)DOAJ9102f066dc3b49df8eb4da7411d1bda1 DE-627 ger DE-627 rakwb eng HE1-9990 Suchithra Rajendran verfasserin aut Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Air transportation is reported to have the highest CO2 emission per passenger kilometer compared to other modes of travel. Although prior studies have analyzed the impact of high-speed rail (HSR) on the aviation sector, this study is one of the first to develop a simulation model to evaluate the current HSR system, and determine the extent to which the existing rail network can handle additional passengers, if short-haul airline customers were to avail of HSR service. This study also proposes recommendations for future HSR schedules and rail capacities, as well. A Define, Measure, Analyze, Design, and Verify (DMADV) approach is developed for (a) conceptualizing the problem, (b) collecting data from different sources, (c) developing the simulation model, and (d) evaluating the results and deriving managerial recommendations. For the purpose of illustrating the proposed approach, we discuss a case study considering the passenger travel between two major European cities, Munich and Paris. It can be observed that the current railway operations between Munich and Paris could only handle 25% additional customers. If 50%, 75% and 100% of current air customers were to switch to HSR, then it is recommended to operate one (evening), two (one afternoon and one evening), and three (two afternoon and one evening) additional trains, respectively. Furthermore, this study shows that a complete customer transition from air to rail could save 56.8% in CO2 emission. High-speed rail (HSR) Short-haul air transport Substitutability CO2 emission Simulation model Transportation and communications Maximilian Popfinger verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 15(2022), Seite 100632- (DE-627)1690634936 25901982 nnns volume:15 year:2022 pages:100632- https://doi.org/10.1016/j.trip.2022.100632 kostenfrei https://doaj.org/article/9102f066dc3b49df8eb4da7411d1bda1 kostenfrei http://www.sciencedirect.com/science/article/pii/S259019822200094X kostenfrei https://doaj.org/toc/2590-1982 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 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_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 100632-
spelling	10.1016/j.trip.2022.100632 doi (DE-627)DOAJ022692444 (DE-599)DOAJ9102f066dc3b49df8eb4da7411d1bda1 DE-627 ger DE-627 rakwb eng HE1-9990 Suchithra Rajendran verfasserin aut Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Air transportation is reported to have the highest CO2 emission per passenger kilometer compared to other modes of travel. Although prior studies have analyzed the impact of high-speed rail (HSR) on the aviation sector, this study is one of the first to develop a simulation model to evaluate the current HSR system, and determine the extent to which the existing rail network can handle additional passengers, if short-haul airline customers were to avail of HSR service. This study also proposes recommendations for future HSR schedules and rail capacities, as well. A Define, Measure, Analyze, Design, and Verify (DMADV) approach is developed for (a) conceptualizing the problem, (b) collecting data from different sources, (c) developing the simulation model, and (d) evaluating the results and deriving managerial recommendations. For the purpose of illustrating the proposed approach, we discuss a case study considering the passenger travel between two major European cities, Munich and Paris. It can be observed that the current railway operations between Munich and Paris could only handle 25% additional customers. If 50%, 75% and 100% of current air customers were to switch to HSR, then it is recommended to operate one (evening), two (one afternoon and one evening), and three (two afternoon and one evening) additional trains, respectively. Furthermore, this study shows that a complete customer transition from air to rail could save 56.8% in CO2 emission. High-speed rail (HSR) Short-haul air transport Substitutability CO2 emission Simulation model Transportation and communications Maximilian Popfinger verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 15(2022), Seite 100632- (DE-627)1690634936 25901982 nnns volume:15 year:2022 pages:100632- https://doi.org/10.1016/j.trip.2022.100632 kostenfrei https://doaj.org/article/9102f066dc3b49df8eb4da7411d1bda1 kostenfrei http://www.sciencedirect.com/science/article/pii/S259019822200094X kostenfrei https://doaj.org/toc/2590-1982 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 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_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 100632-
allfields_unstemmed	10.1016/j.trip.2022.100632 doi (DE-627)DOAJ022692444 (DE-599)DOAJ9102f066dc3b49df8eb4da7411d1bda1 DE-627 ger DE-627 rakwb eng HE1-9990 Suchithra Rajendran verfasserin aut Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Air transportation is reported to have the highest CO2 emission per passenger kilometer compared to other modes of travel. Although prior studies have analyzed the impact of high-speed rail (HSR) on the aviation sector, this study is one of the first to develop a simulation model to evaluate the current HSR system, and determine the extent to which the existing rail network can handle additional passengers, if short-haul airline customers were to avail of HSR service. This study also proposes recommendations for future HSR schedules and rail capacities, as well. A Define, Measure, Analyze, Design, and Verify (DMADV) approach is developed for (a) conceptualizing the problem, (b) collecting data from different sources, (c) developing the simulation model, and (d) evaluating the results and deriving managerial recommendations. For the purpose of illustrating the proposed approach, we discuss a case study considering the passenger travel between two major European cities, Munich and Paris. It can be observed that the current railway operations between Munich and Paris could only handle 25% additional customers. If 50%, 75% and 100% of current air customers were to switch to HSR, then it is recommended to operate one (evening), two (one afternoon and one evening), and three (two afternoon and one evening) additional trains, respectively. Furthermore, this study shows that a complete customer transition from air to rail could save 56.8% in CO2 emission. High-speed rail (HSR) Short-haul air transport Substitutability CO2 emission Simulation model Transportation and communications Maximilian Popfinger verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 15(2022), Seite 100632- (DE-627)1690634936 25901982 nnns volume:15 year:2022 pages:100632- https://doi.org/10.1016/j.trip.2022.100632 kostenfrei https://doaj.org/article/9102f066dc3b49df8eb4da7411d1bda1 kostenfrei http://www.sciencedirect.com/science/article/pii/S259019822200094X kostenfrei https://doaj.org/toc/2590-1982 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 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_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 100632-
allfieldsGer	10.1016/j.trip.2022.100632 doi (DE-627)DOAJ022692444 (DE-599)DOAJ9102f066dc3b49df8eb4da7411d1bda1 DE-627 ger DE-627 rakwb eng HE1-9990 Suchithra Rajendran verfasserin aut Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Air transportation is reported to have the highest CO2 emission per passenger kilometer compared to other modes of travel. Although prior studies have analyzed the impact of high-speed rail (HSR) on the aviation sector, this study is one of the first to develop a simulation model to evaluate the current HSR system, and determine the extent to which the existing rail network can handle additional passengers, if short-haul airline customers were to avail of HSR service. This study also proposes recommendations for future HSR schedules and rail capacities, as well. A Define, Measure, Analyze, Design, and Verify (DMADV) approach is developed for (a) conceptualizing the problem, (b) collecting data from different sources, (c) developing the simulation model, and (d) evaluating the results and deriving managerial recommendations. For the purpose of illustrating the proposed approach, we discuss a case study considering the passenger travel between two major European cities, Munich and Paris. It can be observed that the current railway operations between Munich and Paris could only handle 25% additional customers. If 50%, 75% and 100% of current air customers were to switch to HSR, then it is recommended to operate one (evening), two (one afternoon and one evening), and three (two afternoon and one evening) additional trains, respectively. Furthermore, this study shows that a complete customer transition from air to rail could save 56.8% in CO2 emission. High-speed rail (HSR) Short-haul air transport Substitutability CO2 emission Simulation model Transportation and communications Maximilian Popfinger verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 15(2022), Seite 100632- (DE-627)1690634936 25901982 nnns volume:15 year:2022 pages:100632- https://doi.org/10.1016/j.trip.2022.100632 kostenfrei https://doaj.org/article/9102f066dc3b49df8eb4da7411d1bda1 kostenfrei http://www.sciencedirect.com/science/article/pii/S259019822200094X kostenfrei https://doaj.org/toc/2590-1982 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 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_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 100632-
allfieldsSound	10.1016/j.trip.2022.100632 doi (DE-627)DOAJ022692444 (DE-599)DOAJ9102f066dc3b49df8eb4da7411d1bda1 DE-627 ger DE-627 rakwb eng HE1-9990 Suchithra Rajendran verfasserin aut Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Air transportation is reported to have the highest CO2 emission per passenger kilometer compared to other modes of travel. Although prior studies have analyzed the impact of high-speed rail (HSR) on the aviation sector, this study is one of the first to develop a simulation model to evaluate the current HSR system, and determine the extent to which the existing rail network can handle additional passengers, if short-haul airline customers were to avail of HSR service. This study also proposes recommendations for future HSR schedules and rail capacities, as well. A Define, Measure, Analyze, Design, and Verify (DMADV) approach is developed for (a) conceptualizing the problem, (b) collecting data from different sources, (c) developing the simulation model, and (d) evaluating the results and deriving managerial recommendations. For the purpose of illustrating the proposed approach, we discuss a case study considering the passenger travel between two major European cities, Munich and Paris. It can be observed that the current railway operations between Munich and Paris could only handle 25% additional customers. If 50%, 75% and 100% of current air customers were to switch to HSR, then it is recommended to operate one (evening), two (one afternoon and one evening), and three (two afternoon and one evening) additional trains, respectively. Furthermore, this study shows that a complete customer transition from air to rail could save 56.8% in CO2 emission. High-speed rail (HSR) Short-haul air transport Substitutability CO2 emission Simulation model Transportation and communications Maximilian Popfinger verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 15(2022), Seite 100632- (DE-627)1690634936 25901982 nnns volume:15 year:2022 pages:100632- https://doi.org/10.1016/j.trip.2022.100632 kostenfrei https://doaj.org/article/9102f066dc3b49df8eb4da7411d1bda1 kostenfrei http://www.sciencedirect.com/science/article/pii/S259019822200094X kostenfrei https://doaj.org/toc/2590-1982 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 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_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 100632-
language	English
source	In Transportation Research Interdisciplinary Perspectives 15(2022), Seite 100632- volume:15 year:2022 pages:100632-
sourceStr	In Transportation Research Interdisciplinary Perspectives 15(2022), Seite 100632- volume:15 year:2022 pages:100632-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	High-speed rail (HSR) Short-haul air transport Substitutability CO2 emission Simulation model Transportation and communications
isfreeaccess_bool	true
container_title	Transportation Research Interdisciplinary Perspectives
authorswithroles_txt_mv	Suchithra Rajendran @@aut@@ Maximilian Popfinger @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	1690634936
id	DOAJ022692444
language_de	englisch
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callnumber-first	H - Social Science
author	Suchithra Rajendran
spellingShingle	Suchithra Rajendran misc HE1-9990 misc High-speed rail (HSR) misc Short-haul air transport misc Substitutability misc CO2 emission misc Simulation model misc Transportation and communications Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach
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topic_title	HE1-9990 Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach High-speed rail (HSR) Short-haul air transport Substitutability CO2 emission Simulation model
topic	misc HE1-9990 misc High-speed rail (HSR) misc Short-haul air transport misc Substitutability misc CO2 emission misc Simulation model misc Transportation and communications
topic_unstemmed	misc HE1-9990 misc High-speed rail (HSR) misc Short-haul air transport misc Substitutability misc CO2 emission misc Simulation model misc Transportation and communications
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title	Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach
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title_full	Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach
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title_sort	evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach
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title_auth	Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach
abstract	Air transportation is reported to have the highest CO2 emission per passenger kilometer compared to other modes of travel. Although prior studies have analyzed the impact of high-speed rail (HSR) on the aviation sector, this study is one of the first to develop a simulation model to evaluate the current HSR system, and determine the extent to which the existing rail network can handle additional passengers, if short-haul airline customers were to avail of HSR service. This study also proposes recommendations for future HSR schedules and rail capacities, as well. A Define, Measure, Analyze, Design, and Verify (DMADV) approach is developed for (a) conceptualizing the problem, (b) collecting data from different sources, (c) developing the simulation model, and (d) evaluating the results and deriving managerial recommendations. For the purpose of illustrating the proposed approach, we discuss a case study considering the passenger travel between two major European cities, Munich and Paris. It can be observed that the current railway operations between Munich and Paris could only handle 25% additional customers. If 50%, 75% and 100% of current air customers were to switch to HSR, then it is recommended to operate one (evening), two (one afternoon and one evening), and three (two afternoon and one evening) additional trains, respectively. Furthermore, this study shows that a complete customer transition from air to rail could save 56.8% in CO2 emission.
abstractGer	Air transportation is reported to have the highest CO2 emission per passenger kilometer compared to other modes of travel. Although prior studies have analyzed the impact of high-speed rail (HSR) on the aviation sector, this study is one of the first to develop a simulation model to evaluate the current HSR system, and determine the extent to which the existing rail network can handle additional passengers, if short-haul airline customers were to avail of HSR service. This study also proposes recommendations for future HSR schedules and rail capacities, as well. A Define, Measure, Analyze, Design, and Verify (DMADV) approach is developed for (a) conceptualizing the problem, (b) collecting data from different sources, (c) developing the simulation model, and (d) evaluating the results and deriving managerial recommendations. For the purpose of illustrating the proposed approach, we discuss a case study considering the passenger travel between two major European cities, Munich and Paris. It can be observed that the current railway operations between Munich and Paris could only handle 25% additional customers. If 50%, 75% and 100% of current air customers were to switch to HSR, then it is recommended to operate one (evening), two (one afternoon and one evening), and three (two afternoon and one evening) additional trains, respectively. Furthermore, this study shows that a complete customer transition from air to rail could save 56.8% in CO2 emission.
abstract_unstemmed	Air transportation is reported to have the highest CO2 emission per passenger kilometer compared to other modes of travel. Although prior studies have analyzed the impact of high-speed rail (HSR) on the aviation sector, this study is one of the first to develop a simulation model to evaluate the current HSR system, and determine the extent to which the existing rail network can handle additional passengers, if short-haul airline customers were to avail of HSR service. This study also proposes recommendations for future HSR schedules and rail capacities, as well. A Define, Measure, Analyze, Design, and Verify (DMADV) approach is developed for (a) conceptualizing the problem, (b) collecting data from different sources, (c) developing the simulation model, and (d) evaluating the results and deriving managerial recommendations. For the purpose of illustrating the proposed approach, we discuss a case study considering the passenger travel between two major European cities, Munich and Paris. It can be observed that the current railway operations between Munich and Paris could only handle 25% additional customers. If 50%, 75% and 100% of current air customers were to switch to HSR, then it is recommended to operate one (evening), two (one afternoon and one evening), and three (two afternoon and one evening) additional trains, respectively. Furthermore, this study shows that a complete customer transition from air to rail could save 56.8% in CO2 emission.
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title_short	Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach
url	https://doi.org/10.1016/j.trip.2022.100632 https://doaj.org/article/9102f066dc3b49df8eb4da7411d1bda1 http://www.sciencedirect.com/science/article/pii/S259019822200094X https://doaj.org/toc/2590-1982
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Evaluating the substitutability of short-haul air transport by high-speed rail using a simulation-based approach

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