Investigating Feasibility of Fleet Augmentation for Mechanized Snow Clearance of Roads: Economic Analysis and Policy Improvements
Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is c...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Najar, Nadeem Akbar [verfasserIn] Jana, Arnab [verfasserIn] Parthasarathy, D. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Transportation in developing economies - Springer International Publishing, 2015, 10(2024), 2 vom: 05. Sept. |
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| Übergeordnetes Werk: |
volume:10 ; year:2024 ; number:2 ; day:05 ; month:09 |
| Links: |
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| DOI / URN: |
10.1007/s40890-024-00217-x |
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| Katalog-ID: |
SPR057233055 |
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| 520 | |a Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is crucial for efficient ice and snow control. This study aims to understand the economic viability of doubling the fleet size and deploying road weather information system (RWIS) for winter road maintenance. Based on the data collected from various sources with regard to costs and benefits of increased fleet size and RWIS, a cost benefit analysis framework was deployed for assessing the economic viability of augmentation and standardization for a limited stretch of road of length 77 km. Monte Carlo simulations were carried out to find out the sensitivity analysis of results of the cost–benefit analysis. The findings of the study revealed that the policy makers and decision makers should consider making higher investments in WRM given the benefit-to-cost ratios varying between 21.6 and 31.6 in case of exclusion and inclusion of tourism related benefits respectively. | ||
| 650 | 4 | |a Economic viability |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Winter road maintenance |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Fleet size |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Road weather information system |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Jana, Arnab |e verfasserin |4 aut | |
| 700 | 1 | |a Parthasarathy, D. |e verfasserin |4 aut | |
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10.1007/s40890-024-00217-x doi (DE-627)SPR057233055 (SPR)s40890-024-00217-x-e DE-627 ger DE-627 rakwb eng 380 VZ 380 VZ Najar, Nadeem Akbar verfasserin (orcid)0000-0002-6165-5903 aut Investigating Feasibility of Fleet Augmentation for Mechanized Snow Clearance of Roads: Economic Analysis and Policy Improvements 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is crucial for efficient ice and snow control. This study aims to understand the economic viability of doubling the fleet size and deploying road weather information system (RWIS) for winter road maintenance. Based on the data collected from various sources with regard to costs and benefits of increased fleet size and RWIS, a cost benefit analysis framework was deployed for assessing the economic viability of augmentation and standardization for a limited stretch of road of length 77 km. Monte Carlo simulations were carried out to find out the sensitivity analysis of results of the cost–benefit analysis. The findings of the study revealed that the policy makers and decision makers should consider making higher investments in WRM given the benefit-to-cost ratios varying between 21.6 and 31.6 in case of exclusion and inclusion of tourism related benefits respectively. Economic viability (dpeaa)DE-He213 Winter road maintenance (dpeaa)DE-He213 Fleet size (dpeaa)DE-He213 Road weather information system (dpeaa)DE-He213 Jana, Arnab verfasserin aut Parthasarathy, D. verfasserin aut Enthalten in Transportation in developing economies Springer International Publishing, 2015 10(2024), 2 vom: 05. Sept. (DE-627)828841098 (DE-600)2825393-0 2199-9295 nnns volume:10 year:2024 number:2 day:05 month:09 https://dx.doi.org/10.1007/s40890-024-00217-x X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 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_4318 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4598 GBV_ILN_4700 AR 10 2024 2 05 09 |
| spelling |
10.1007/s40890-024-00217-x doi (DE-627)SPR057233055 (SPR)s40890-024-00217-x-e DE-627 ger DE-627 rakwb eng 380 VZ 380 VZ Najar, Nadeem Akbar verfasserin (orcid)0000-0002-6165-5903 aut Investigating Feasibility of Fleet Augmentation for Mechanized Snow Clearance of Roads: Economic Analysis and Policy Improvements 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is crucial for efficient ice and snow control. This study aims to understand the economic viability of doubling the fleet size and deploying road weather information system (RWIS) for winter road maintenance. Based on the data collected from various sources with regard to costs and benefits of increased fleet size and RWIS, a cost benefit analysis framework was deployed for assessing the economic viability of augmentation and standardization for a limited stretch of road of length 77 km. Monte Carlo simulations were carried out to find out the sensitivity analysis of results of the cost–benefit analysis. The findings of the study revealed that the policy makers and decision makers should consider making higher investments in WRM given the benefit-to-cost ratios varying between 21.6 and 31.6 in case of exclusion and inclusion of tourism related benefits respectively. Economic viability (dpeaa)DE-He213 Winter road maintenance (dpeaa)DE-He213 Fleet size (dpeaa)DE-He213 Road weather information system (dpeaa)DE-He213 Jana, Arnab verfasserin aut Parthasarathy, D. verfasserin aut Enthalten in Transportation in developing economies Springer International Publishing, 2015 10(2024), 2 vom: 05. Sept. (DE-627)828841098 (DE-600)2825393-0 2199-9295 nnns volume:10 year:2024 number:2 day:05 month:09 https://dx.doi.org/10.1007/s40890-024-00217-x X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 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_4318 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4598 GBV_ILN_4700 AR 10 2024 2 05 09 |
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10.1007/s40890-024-00217-x doi (DE-627)SPR057233055 (SPR)s40890-024-00217-x-e DE-627 ger DE-627 rakwb eng 380 VZ 380 VZ Najar, Nadeem Akbar verfasserin (orcid)0000-0002-6165-5903 aut Investigating Feasibility of Fleet Augmentation for Mechanized Snow Clearance of Roads: Economic Analysis and Policy Improvements 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is crucial for efficient ice and snow control. This study aims to understand the economic viability of doubling the fleet size and deploying road weather information system (RWIS) for winter road maintenance. Based on the data collected from various sources with regard to costs and benefits of increased fleet size and RWIS, a cost benefit analysis framework was deployed for assessing the economic viability of augmentation and standardization for a limited stretch of road of length 77 km. Monte Carlo simulations were carried out to find out the sensitivity analysis of results of the cost–benefit analysis. The findings of the study revealed that the policy makers and decision makers should consider making higher investments in WRM given the benefit-to-cost ratios varying between 21.6 and 31.6 in case of exclusion and inclusion of tourism related benefits respectively. Economic viability (dpeaa)DE-He213 Winter road maintenance (dpeaa)DE-He213 Fleet size (dpeaa)DE-He213 Road weather information system (dpeaa)DE-He213 Jana, Arnab verfasserin aut Parthasarathy, D. verfasserin aut Enthalten in Transportation in developing economies Springer International Publishing, 2015 10(2024), 2 vom: 05. Sept. (DE-627)828841098 (DE-600)2825393-0 2199-9295 nnns volume:10 year:2024 number:2 day:05 month:09 https://dx.doi.org/10.1007/s40890-024-00217-x X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 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_4318 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4598 GBV_ILN_4700 AR 10 2024 2 05 09 |
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10.1007/s40890-024-00217-x doi (DE-627)SPR057233055 (SPR)s40890-024-00217-x-e DE-627 ger DE-627 rakwb eng 380 VZ 380 VZ Najar, Nadeem Akbar verfasserin (orcid)0000-0002-6165-5903 aut Investigating Feasibility of Fleet Augmentation for Mechanized Snow Clearance of Roads: Economic Analysis and Policy Improvements 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is crucial for efficient ice and snow control. This study aims to understand the economic viability of doubling the fleet size and deploying road weather information system (RWIS) for winter road maintenance. Based on the data collected from various sources with regard to costs and benefits of increased fleet size and RWIS, a cost benefit analysis framework was deployed for assessing the economic viability of augmentation and standardization for a limited stretch of road of length 77 km. Monte Carlo simulations were carried out to find out the sensitivity analysis of results of the cost–benefit analysis. The findings of the study revealed that the policy makers and decision makers should consider making higher investments in WRM given the benefit-to-cost ratios varying between 21.6 and 31.6 in case of exclusion and inclusion of tourism related benefits respectively. Economic viability (dpeaa)DE-He213 Winter road maintenance (dpeaa)DE-He213 Fleet size (dpeaa)DE-He213 Road weather information system (dpeaa)DE-He213 Jana, Arnab verfasserin aut Parthasarathy, D. verfasserin aut Enthalten in Transportation in developing economies Springer International Publishing, 2015 10(2024), 2 vom: 05. Sept. (DE-627)828841098 (DE-600)2825393-0 2199-9295 nnns volume:10 year:2024 number:2 day:05 month:09 https://dx.doi.org/10.1007/s40890-024-00217-x X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 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_4318 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4598 GBV_ILN_4700 AR 10 2024 2 05 09 |
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10.1007/s40890-024-00217-x doi (DE-627)SPR057233055 (SPR)s40890-024-00217-x-e DE-627 ger DE-627 rakwb eng 380 VZ 380 VZ Najar, Nadeem Akbar verfasserin (orcid)0000-0002-6165-5903 aut Investigating Feasibility of Fleet Augmentation for Mechanized Snow Clearance of Roads: Economic Analysis and Policy Improvements 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is crucial for efficient ice and snow control. This study aims to understand the economic viability of doubling the fleet size and deploying road weather information system (RWIS) for winter road maintenance. Based on the data collected from various sources with regard to costs and benefits of increased fleet size and RWIS, a cost benefit analysis framework was deployed for assessing the economic viability of augmentation and standardization for a limited stretch of road of length 77 km. Monte Carlo simulations were carried out to find out the sensitivity analysis of results of the cost–benefit analysis. The findings of the study revealed that the policy makers and decision makers should consider making higher investments in WRM given the benefit-to-cost ratios varying between 21.6 and 31.6 in case of exclusion and inclusion of tourism related benefits respectively. Economic viability (dpeaa)DE-He213 Winter road maintenance (dpeaa)DE-He213 Fleet size (dpeaa)DE-He213 Road weather information system (dpeaa)DE-He213 Jana, Arnab verfasserin aut Parthasarathy, D. verfasserin aut Enthalten in Transportation in developing economies Springer International Publishing, 2015 10(2024), 2 vom: 05. Sept. (DE-627)828841098 (DE-600)2825393-0 2199-9295 nnns volume:10 year:2024 number:2 day:05 month:09 https://dx.doi.org/10.1007/s40890-024-00217-x X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 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_4318 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4598 GBV_ILN_4700 AR 10 2024 2 05 09 |
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Najar, Nadeem Akbar @@aut@@ Jana, Arnab @@aut@@ Parthasarathy, D. @@aut@@ |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is crucial for efficient ice and snow control. This study aims to understand the economic viability of doubling the fleet size and deploying road weather information system (RWIS) for winter road maintenance. Based on the data collected from various sources with regard to costs and benefits of increased fleet size and RWIS, a cost benefit analysis framework was deployed for assessing the economic viability of augmentation and standardization for a limited stretch of road of length 77 km. Monte Carlo simulations were carried out to find out the sensitivity analysis of results of the cost–benefit analysis. 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Najar, Nadeem Akbar |
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380 VZ Investigating Feasibility of Fleet Augmentation for Mechanized Snow Clearance of Roads: Economic Analysis and Policy Improvements Economic viability (dpeaa)DE-He213 Winter road maintenance (dpeaa)DE-He213 Fleet size (dpeaa)DE-He213 Road weather information system (dpeaa)DE-He213 |
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investigating feasibility of fleet augmentation for mechanized snow clearance of roads: economic analysis and policy improvements |
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Investigating Feasibility of Fleet Augmentation for Mechanized Snow Clearance of Roads: Economic Analysis and Policy Improvements |
| abstract |
Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is crucial for efficient ice and snow control. This study aims to understand the economic viability of doubling the fleet size and deploying road weather information system (RWIS) for winter road maintenance. Based on the data collected from various sources with regard to costs and benefits of increased fleet size and RWIS, a cost benefit analysis framework was deployed for assessing the economic viability of augmentation and standardization for a limited stretch of road of length 77 km. Monte Carlo simulations were carried out to find out the sensitivity analysis of results of the cost–benefit analysis. The findings of the study revealed that the policy makers and decision makers should consider making higher investments in WRM given the benefit-to-cost ratios varying between 21.6 and 31.6 in case of exclusion and inclusion of tourism related benefits respectively. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is crucial for efficient ice and snow control. This study aims to understand the economic viability of doubling the fleet size and deploying road weather information system (RWIS) for winter road maintenance. Based on the data collected from various sources with regard to costs and benefits of increased fleet size and RWIS, a cost benefit analysis framework was deployed for assessing the economic viability of augmentation and standardization for a limited stretch of road of length 77 km. Monte Carlo simulations were carried out to find out the sensitivity analysis of results of the cost–benefit analysis. The findings of the study revealed that the policy makers and decision makers should consider making higher investments in WRM given the benefit-to-cost ratios varying between 21.6 and 31.6 in case of exclusion and inclusion of tourism related benefits respectively. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract Winter road maintenance plays an important role in keeping economies running in the regions where snowfall is a regular annual feature. Having adequate infrastructure in terms of fleet strength and use of advanced technologies like road weather information system to deal with snow fall is crucial for efficient ice and snow control. This study aims to understand the economic viability of doubling the fleet size and deploying road weather information system (RWIS) for winter road maintenance. Based on the data collected from various sources with regard to costs and benefits of increased fleet size and RWIS, a cost benefit analysis framework was deployed for assessing the economic viability of augmentation and standardization for a limited stretch of road of length 77 km. Monte Carlo simulations were carried out to find out the sensitivity analysis of results of the cost–benefit analysis. The findings of the study revealed that the policy makers and decision makers should consider making higher investments in WRM given the benefit-to-cost ratios varying between 21.6 and 31.6 in case of exclusion and inclusion of tourism related benefits respectively. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| title_short |
Investigating Feasibility of Fleet Augmentation for Mechanized Snow Clearance of Roads: Economic Analysis and Policy Improvements |
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https://dx.doi.org/10.1007/s40890-024-00217-x |
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Jana, Arnab Parthasarathy, D. |
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|
| score |
7.400613 |