Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety
Abstract The present study was aimed at identifying driving behaviors and driving skills (i.e., ordinary violations, lack of experience errors, positive behaviors, lack of attention errors, dangerous errors, aggressive violations, perceptual-motor skills, and safety skills) in a large sample of youn...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shirmohammadi, Hamid [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Iran University of Science and Technology 2019 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of civil engineering - [Cham] : Springer International Publishing, 2003, 17(2019), 8 vom: 24. Jan., Seite 1327-1340 |
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| Übergeordnetes Werk: |
volume:17 ; year:2019 ; number:8 ; day:24 ; month:01 ; pages:1327-1340 |
| Links: |
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| DOI / URN: |
10.1007/s40999-018-00390-2 |
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| Katalog-ID: |
SPR038056925 |
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| 245 | 1 | 0 | |a Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety |
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| 520 | |a Abstract The present study was aimed at identifying driving behaviors and driving skills (i.e., ordinary violations, lack of experience errors, positive behaviors, lack of attention errors, dangerous errors, aggressive violations, perceptual-motor skills, and safety skills) in a large sample of young, middle-aged, and elderly tourists as specific subgroups of drivers based on combinations. Additionally, drivers’ risk-driving behaviors and skill deficits in terms of driving violations and errors, and traffic rule violations and accident involvements as measured by the Driver Behavior Questionnaire and the Driver Skill Inventory were evaluated. To this end, the questionnaires were completed by 681 participant drivers with three age subgroups (age < 30, age 30–40, age > 40), who had traveled to Baneh city in Iran. Based on a cluster analysis of driving behaviors and driving skills variables, five easily understandable drivers’ subgroups were investigated as safe drivers with low self-confidence, unsafe, and offensive drivers, safe, and skillful drivers, unsafe, and relatively unskilled drivers, and unskilled and relatively unsafe drivers. The drivers differed in terms of self-reported accident involvement, attitudes toward traffic safety and risk perception, and driving violations and errors. Finally, based on annual intentional and unintentional accidents and fines, the clusters were ranked. Then, the clusters were evaluated and analyzed statistically. The results indicated that unsafe and offensive cluster is the first unsafe subgroup among clusters. Safe and skillful cluster is classified as the safest subgroup among clusters. | ||
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| 650 | 4 | |a Driving behaviors and skills |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Cluster analysis |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Hadadi, Farhad |4 aut | |
| 700 | 1 | |a Saeedian, Moatasem |4 aut | |
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10.1007/s40999-018-00390-2 doi (DE-627)SPR038056925 (SPR)s40999-018-00390-2-e DE-627 ger DE-627 rakwb eng Shirmohammadi, Hamid verfasserin aut Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Iran University of Science and Technology 2019 Abstract The present study was aimed at identifying driving behaviors and driving skills (i.e., ordinary violations, lack of experience errors, positive behaviors, lack of attention errors, dangerous errors, aggressive violations, perceptual-motor skills, and safety skills) in a large sample of young, middle-aged, and elderly tourists as specific subgroups of drivers based on combinations. Additionally, drivers’ risk-driving behaviors and skill deficits in terms of driving violations and errors, and traffic rule violations and accident involvements as measured by the Driver Behavior Questionnaire and the Driver Skill Inventory were evaluated. To this end, the questionnaires were completed by 681 participant drivers with three age subgroups (age < 30, age 30–40, age > 40), who had traveled to Baneh city in Iran. Based on a cluster analysis of driving behaviors and driving skills variables, five easily understandable drivers’ subgroups were investigated as safe drivers with low self-confidence, unsafe, and offensive drivers, safe, and skillful drivers, unsafe, and relatively unskilled drivers, and unskilled and relatively unsafe drivers. The drivers differed in terms of self-reported accident involvement, attitudes toward traffic safety and risk perception, and driving violations and errors. Finally, based on annual intentional and unintentional accidents and fines, the clusters were ranked. Then, the clusters were evaluated and analyzed statistically. The results indicated that unsafe and offensive cluster is the first unsafe subgroup among clusters. Safe and skillful cluster is classified as the safest subgroup among clusters. Tourists (dpeaa)DE-He213 Driving behaviors and skills (dpeaa)DE-He213 Violations (dpeaa)DE-He213 Errors (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Hadadi, Farhad aut Saeedian, Moatasem aut Enthalten in International journal of civil engineering [Cham] : Springer International Publishing, 2003 17(2019), 8 vom: 24. Jan., Seite 1327-1340 (DE-627)857242466 (DE-600)2853422-0 2383-3874 nnns volume:17 year:2019 number:8 day:24 month:01 pages:1327-1340 https://dx.doi.org/10.1007/s40999-018-00390-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_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_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_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_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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 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_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2019 8 24 01 1327-1340 |
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10.1007/s40999-018-00390-2 doi (DE-627)SPR038056925 (SPR)s40999-018-00390-2-e DE-627 ger DE-627 rakwb eng Shirmohammadi, Hamid verfasserin aut Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Iran University of Science and Technology 2019 Abstract The present study was aimed at identifying driving behaviors and driving skills (i.e., ordinary violations, lack of experience errors, positive behaviors, lack of attention errors, dangerous errors, aggressive violations, perceptual-motor skills, and safety skills) in a large sample of young, middle-aged, and elderly tourists as specific subgroups of drivers based on combinations. Additionally, drivers’ risk-driving behaviors and skill deficits in terms of driving violations and errors, and traffic rule violations and accident involvements as measured by the Driver Behavior Questionnaire and the Driver Skill Inventory were evaluated. To this end, the questionnaires were completed by 681 participant drivers with three age subgroups (age < 30, age 30–40, age > 40), who had traveled to Baneh city in Iran. Based on a cluster analysis of driving behaviors and driving skills variables, five easily understandable drivers’ subgroups were investigated as safe drivers with low self-confidence, unsafe, and offensive drivers, safe, and skillful drivers, unsafe, and relatively unskilled drivers, and unskilled and relatively unsafe drivers. The drivers differed in terms of self-reported accident involvement, attitudes toward traffic safety and risk perception, and driving violations and errors. Finally, based on annual intentional and unintentional accidents and fines, the clusters were ranked. Then, the clusters were evaluated and analyzed statistically. The results indicated that unsafe and offensive cluster is the first unsafe subgroup among clusters. Safe and skillful cluster is classified as the safest subgroup among clusters. Tourists (dpeaa)DE-He213 Driving behaviors and skills (dpeaa)DE-He213 Violations (dpeaa)DE-He213 Errors (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Hadadi, Farhad aut Saeedian, Moatasem aut Enthalten in International journal of civil engineering [Cham] : Springer International Publishing, 2003 17(2019), 8 vom: 24. Jan., Seite 1327-1340 (DE-627)857242466 (DE-600)2853422-0 2383-3874 nnns volume:17 year:2019 number:8 day:24 month:01 pages:1327-1340 https://dx.doi.org/10.1007/s40999-018-00390-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_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_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_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_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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 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_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2019 8 24 01 1327-1340 |
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10.1007/s40999-018-00390-2 doi (DE-627)SPR038056925 (SPR)s40999-018-00390-2-e DE-627 ger DE-627 rakwb eng Shirmohammadi, Hamid verfasserin aut Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Iran University of Science and Technology 2019 Abstract The present study was aimed at identifying driving behaviors and driving skills (i.e., ordinary violations, lack of experience errors, positive behaviors, lack of attention errors, dangerous errors, aggressive violations, perceptual-motor skills, and safety skills) in a large sample of young, middle-aged, and elderly tourists as specific subgroups of drivers based on combinations. Additionally, drivers’ risk-driving behaviors and skill deficits in terms of driving violations and errors, and traffic rule violations and accident involvements as measured by the Driver Behavior Questionnaire and the Driver Skill Inventory were evaluated. To this end, the questionnaires were completed by 681 participant drivers with three age subgroups (age < 30, age 30–40, age > 40), who had traveled to Baneh city in Iran. Based on a cluster analysis of driving behaviors and driving skills variables, five easily understandable drivers’ subgroups were investigated as safe drivers with low self-confidence, unsafe, and offensive drivers, safe, and skillful drivers, unsafe, and relatively unskilled drivers, and unskilled and relatively unsafe drivers. The drivers differed in terms of self-reported accident involvement, attitudes toward traffic safety and risk perception, and driving violations and errors. Finally, based on annual intentional and unintentional accidents and fines, the clusters were ranked. Then, the clusters were evaluated and analyzed statistically. The results indicated that unsafe and offensive cluster is the first unsafe subgroup among clusters. Safe and skillful cluster is classified as the safest subgroup among clusters. Tourists (dpeaa)DE-He213 Driving behaviors and skills (dpeaa)DE-He213 Violations (dpeaa)DE-He213 Errors (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Hadadi, Farhad aut Saeedian, Moatasem aut Enthalten in International journal of civil engineering [Cham] : Springer International Publishing, 2003 17(2019), 8 vom: 24. Jan., Seite 1327-1340 (DE-627)857242466 (DE-600)2853422-0 2383-3874 nnns volume:17 year:2019 number:8 day:24 month:01 pages:1327-1340 https://dx.doi.org/10.1007/s40999-018-00390-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_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_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_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_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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 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_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2019 8 24 01 1327-1340 |
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10.1007/s40999-018-00390-2 doi (DE-627)SPR038056925 (SPR)s40999-018-00390-2-e DE-627 ger DE-627 rakwb eng Shirmohammadi, Hamid verfasserin aut Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Iran University of Science and Technology 2019 Abstract The present study was aimed at identifying driving behaviors and driving skills (i.e., ordinary violations, lack of experience errors, positive behaviors, lack of attention errors, dangerous errors, aggressive violations, perceptual-motor skills, and safety skills) in a large sample of young, middle-aged, and elderly tourists as specific subgroups of drivers based on combinations. Additionally, drivers’ risk-driving behaviors and skill deficits in terms of driving violations and errors, and traffic rule violations and accident involvements as measured by the Driver Behavior Questionnaire and the Driver Skill Inventory were evaluated. To this end, the questionnaires were completed by 681 participant drivers with three age subgroups (age < 30, age 30–40, age > 40), who had traveled to Baneh city in Iran. Based on a cluster analysis of driving behaviors and driving skills variables, five easily understandable drivers’ subgroups were investigated as safe drivers with low self-confidence, unsafe, and offensive drivers, safe, and skillful drivers, unsafe, and relatively unskilled drivers, and unskilled and relatively unsafe drivers. The drivers differed in terms of self-reported accident involvement, attitudes toward traffic safety and risk perception, and driving violations and errors. Finally, based on annual intentional and unintentional accidents and fines, the clusters were ranked. Then, the clusters were evaluated and analyzed statistically. The results indicated that unsafe and offensive cluster is the first unsafe subgroup among clusters. Safe and skillful cluster is classified as the safest subgroup among clusters. Tourists (dpeaa)DE-He213 Driving behaviors and skills (dpeaa)DE-He213 Violations (dpeaa)DE-He213 Errors (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Hadadi, Farhad aut Saeedian, Moatasem aut Enthalten in International journal of civil engineering [Cham] : Springer International Publishing, 2003 17(2019), 8 vom: 24. Jan., Seite 1327-1340 (DE-627)857242466 (DE-600)2853422-0 2383-3874 nnns volume:17 year:2019 number:8 day:24 month:01 pages:1327-1340 https://dx.doi.org/10.1007/s40999-018-00390-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_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_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_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_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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 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_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2019 8 24 01 1327-1340 |
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10.1007/s40999-018-00390-2 doi (DE-627)SPR038056925 (SPR)s40999-018-00390-2-e DE-627 ger DE-627 rakwb eng Shirmohammadi, Hamid verfasserin aut Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Iran University of Science and Technology 2019 Abstract The present study was aimed at identifying driving behaviors and driving skills (i.e., ordinary violations, lack of experience errors, positive behaviors, lack of attention errors, dangerous errors, aggressive violations, perceptual-motor skills, and safety skills) in a large sample of young, middle-aged, and elderly tourists as specific subgroups of drivers based on combinations. Additionally, drivers’ risk-driving behaviors and skill deficits in terms of driving violations and errors, and traffic rule violations and accident involvements as measured by the Driver Behavior Questionnaire and the Driver Skill Inventory were evaluated. To this end, the questionnaires were completed by 681 participant drivers with three age subgroups (age < 30, age 30–40, age > 40), who had traveled to Baneh city in Iran. Based on a cluster analysis of driving behaviors and driving skills variables, five easily understandable drivers’ subgroups were investigated as safe drivers with low self-confidence, unsafe, and offensive drivers, safe, and skillful drivers, unsafe, and relatively unskilled drivers, and unskilled and relatively unsafe drivers. The drivers differed in terms of self-reported accident involvement, attitudes toward traffic safety and risk perception, and driving violations and errors. Finally, based on annual intentional and unintentional accidents and fines, the clusters were ranked. Then, the clusters were evaluated and analyzed statistically. The results indicated that unsafe and offensive cluster is the first unsafe subgroup among clusters. Safe and skillful cluster is classified as the safest subgroup among clusters. Tourists (dpeaa)DE-He213 Driving behaviors and skills (dpeaa)DE-He213 Violations (dpeaa)DE-He213 Errors (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Hadadi, Farhad aut Saeedian, Moatasem aut Enthalten in International journal of civil engineering [Cham] : Springer International Publishing, 2003 17(2019), 8 vom: 24. Jan., Seite 1327-1340 (DE-627)857242466 (DE-600)2853422-0 2383-3874 nnns volume:17 year:2019 number:8 day:24 month:01 pages:1327-1340 https://dx.doi.org/10.1007/s40999-018-00390-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_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_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_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_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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 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_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2019 8 24 01 1327-1340 |
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Shirmohammadi, Hamid @@aut@@ Hadadi, Farhad @@aut@@ Saeedian, Moatasem @@aut@@ |
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| author |
Shirmohammadi, Hamid |
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Shirmohammadi, Hamid misc Tourists misc Driving behaviors and skills misc Violations misc Errors misc Cluster analysis Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety |
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Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety Tourists (dpeaa)DE-He213 Driving behaviors and skills (dpeaa)DE-He213 Violations (dpeaa)DE-He213 Errors (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 |
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misc Tourists misc Driving behaviors and skills misc Violations misc Errors misc Cluster analysis |
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misc Tourists misc Driving behaviors and skills misc Violations misc Errors misc Cluster analysis |
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Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety |
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Shirmohammadi, Hamid |
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Shirmohammadi, Hamid |
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10.1007/s40999-018-00390-2 |
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clustering analysis of drivers based on behavioral characteristics regarding road safety |
| title_auth |
Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety |
| abstract |
Abstract The present study was aimed at identifying driving behaviors and driving skills (i.e., ordinary violations, lack of experience errors, positive behaviors, lack of attention errors, dangerous errors, aggressive violations, perceptual-motor skills, and safety skills) in a large sample of young, middle-aged, and elderly tourists as specific subgroups of drivers based on combinations. Additionally, drivers’ risk-driving behaviors and skill deficits in terms of driving violations and errors, and traffic rule violations and accident involvements as measured by the Driver Behavior Questionnaire and the Driver Skill Inventory were evaluated. To this end, the questionnaires were completed by 681 participant drivers with three age subgroups (age < 30, age 30–40, age > 40), who had traveled to Baneh city in Iran. Based on a cluster analysis of driving behaviors and driving skills variables, five easily understandable drivers’ subgroups were investigated as safe drivers with low self-confidence, unsafe, and offensive drivers, safe, and skillful drivers, unsafe, and relatively unskilled drivers, and unskilled and relatively unsafe drivers. The drivers differed in terms of self-reported accident involvement, attitudes toward traffic safety and risk perception, and driving violations and errors. Finally, based on annual intentional and unintentional accidents and fines, the clusters were ranked. Then, the clusters were evaluated and analyzed statistically. The results indicated that unsafe and offensive cluster is the first unsafe subgroup among clusters. Safe and skillful cluster is classified as the safest subgroup among clusters. © Iran University of Science and Technology 2019 |
| abstractGer |
Abstract The present study was aimed at identifying driving behaviors and driving skills (i.e., ordinary violations, lack of experience errors, positive behaviors, lack of attention errors, dangerous errors, aggressive violations, perceptual-motor skills, and safety skills) in a large sample of young, middle-aged, and elderly tourists as specific subgroups of drivers based on combinations. Additionally, drivers’ risk-driving behaviors and skill deficits in terms of driving violations and errors, and traffic rule violations and accident involvements as measured by the Driver Behavior Questionnaire and the Driver Skill Inventory were evaluated. To this end, the questionnaires were completed by 681 participant drivers with three age subgroups (age < 30, age 30–40, age > 40), who had traveled to Baneh city in Iran. Based on a cluster analysis of driving behaviors and driving skills variables, five easily understandable drivers’ subgroups were investigated as safe drivers with low self-confidence, unsafe, and offensive drivers, safe, and skillful drivers, unsafe, and relatively unskilled drivers, and unskilled and relatively unsafe drivers. The drivers differed in terms of self-reported accident involvement, attitudes toward traffic safety and risk perception, and driving violations and errors. Finally, based on annual intentional and unintentional accidents and fines, the clusters were ranked. Then, the clusters were evaluated and analyzed statistically. The results indicated that unsafe and offensive cluster is the first unsafe subgroup among clusters. Safe and skillful cluster is classified as the safest subgroup among clusters. © Iran University of Science and Technology 2019 |
| abstract_unstemmed |
Abstract The present study was aimed at identifying driving behaviors and driving skills (i.e., ordinary violations, lack of experience errors, positive behaviors, lack of attention errors, dangerous errors, aggressive violations, perceptual-motor skills, and safety skills) in a large sample of young, middle-aged, and elderly tourists as specific subgroups of drivers based on combinations. Additionally, drivers’ risk-driving behaviors and skill deficits in terms of driving violations and errors, and traffic rule violations and accident involvements as measured by the Driver Behavior Questionnaire and the Driver Skill Inventory were evaluated. To this end, the questionnaires were completed by 681 participant drivers with three age subgroups (age < 30, age 30–40, age > 40), who had traveled to Baneh city in Iran. Based on a cluster analysis of driving behaviors and driving skills variables, five easily understandable drivers’ subgroups were investigated as safe drivers with low self-confidence, unsafe, and offensive drivers, safe, and skillful drivers, unsafe, and relatively unskilled drivers, and unskilled and relatively unsafe drivers. The drivers differed in terms of self-reported accident involvement, attitudes toward traffic safety and risk perception, and driving violations and errors. Finally, based on annual intentional and unintentional accidents and fines, the clusters were ranked. Then, the clusters were evaluated and analyzed statistically. The results indicated that unsafe and offensive cluster is the first unsafe subgroup among clusters. Safe and skillful cluster is classified as the safest subgroup among clusters. © Iran University of Science and Technology 2019 |
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Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety |
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Hadadi, Farhad Saeedian, Moatasem |
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