Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of North Carolina
•This paper examines injury severity of head-on crashes in North Carolina.•Latent class clustering analysis is conducted to reduce heterogeneity in the crash dataset.•Mixed logit models are developed to further capture unobserved heterogeneity within clusters.•Some variables are found to have random...
Uloženo v:
| Vydáno v: | Accident analysis and prevention Ročník 135; s. 105388 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
England
Elsevier Ltd
01.02.2020
|
| Témata: | |
| ISSN: | 0001-4575, 1879-2057, 1879-2057 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | •This paper examines injury severity of head-on crashes in North Carolina.•Latent class clustering analysis is conducted to reduce heterogeneity in the crash dataset.•Mixed logit models are developed to further capture unobserved heterogeneity within clusters.•Some variables are found to have random effects across observations in specific clusters.•Relevant countermeasures are developed and future research directions are discussed.
Although only 2 % of crashes are head-on crashes in the United States, they account for over 10 % of all crash-related fatalities. This study aims to investigate the contributing factors that affect the injury severity of head-on crashes and develop appropriate countermeasures. Due to the unobserved heterogeneity inherent in the crash data, a latent class clustering analysis is firstly conducted to segment the head-on crashes into relatively homogeneous clusters. Then, mixed logit models are developed to further explore the unobserved heterogeneity within each cluster. Analyses are performed based on the data collected from the Highway Safety Information System (HSIS) from 2005 to 2013 in North Carolina. The estimated parameters and associated marginal effects are combined to interpret significant variables of the developed models. The proposed method is able to uncover the heterogeneity within the whole dataset and the homogeneous clusters. Results of this research can provide more reliable and insightful information to engineers and policy makers regarding the contributing factors to head-on crashes. |
|---|---|
| AbstractList | •This paper examines injury severity of head-on crashes in North Carolina.•Latent class clustering analysis is conducted to reduce heterogeneity in the crash dataset.•Mixed logit models are developed to further capture unobserved heterogeneity within clusters.•Some variables are found to have random effects across observations in specific clusters.•Relevant countermeasures are developed and future research directions are discussed.
Although only 2 % of crashes are head-on crashes in the United States, they account for over 10 % of all crash-related fatalities. This study aims to investigate the contributing factors that affect the injury severity of head-on crashes and develop appropriate countermeasures. Due to the unobserved heterogeneity inherent in the crash data, a latent class clustering analysis is firstly conducted to segment the head-on crashes into relatively homogeneous clusters. Then, mixed logit models are developed to further explore the unobserved heterogeneity within each cluster. Analyses are performed based on the data collected from the Highway Safety Information System (HSIS) from 2005 to 2013 in North Carolina. The estimated parameters and associated marginal effects are combined to interpret significant variables of the developed models. The proposed method is able to uncover the heterogeneity within the whole dataset and the homogeneous clusters. Results of this research can provide more reliable and insightful information to engineers and policy makers regarding the contributing factors to head-on crashes. Although only 2 % of crashes are head-on crashes in the United States, they account for over 10 % of all crash-related fatalities. This study aims to investigate the contributing factors that affect the injury severity of head-on crashes and develop appropriate countermeasures. Due to the unobserved heterogeneity inherent in the crash data, a latent class clustering analysis is firstly conducted to segment the head-on crashes into relatively homogeneous clusters. Then, mixed logit models are developed to further explore the unobserved heterogeneity within each cluster. Analyses are performed based on the data collected from the Highway Safety Information System (HSIS) from 2005 to 2013 in North Carolina. The estimated parameters and associated marginal effects are combined to interpret significant variables of the developed models. The proposed method is able to uncover the heterogeneity within the whole dataset and the homogeneous clusters. Results of this research can provide more reliable and insightful information to engineers and policy makers regarding the contributing factors to head-on crashes.Although only 2 % of crashes are head-on crashes in the United States, they account for over 10 % of all crash-related fatalities. This study aims to investigate the contributing factors that affect the injury severity of head-on crashes and develop appropriate countermeasures. Due to the unobserved heterogeneity inherent in the crash data, a latent class clustering analysis is firstly conducted to segment the head-on crashes into relatively homogeneous clusters. Then, mixed logit models are developed to further explore the unobserved heterogeneity within each cluster. Analyses are performed based on the data collected from the Highway Safety Information System (HSIS) from 2005 to 2013 in North Carolina. The estimated parameters and associated marginal effects are combined to interpret significant variables of the developed models. The proposed method is able to uncover the heterogeneity within the whole dataset and the homogeneous clusters. Results of this research can provide more reliable and insightful information to engineers and policy makers regarding the contributing factors to head-on crashes. Although only 2 % of crashes are head-on crashes in the United States, they account for over 10 % of all crash-related fatalities. This study aims to investigate the contributing factors that affect the injury severity of head-on crashes and develop appropriate countermeasures. Due to the unobserved heterogeneity inherent in the crash data, a latent class clustering analysis is firstly conducted to segment the head-on crashes into relatively homogeneous clusters. Then, mixed logit models are developed to further explore the unobserved heterogeneity within each cluster. Analyses are performed based on the data collected from the Highway Safety Information System (HSIS) from 2005 to 2013 in North Carolina. The estimated parameters and associated marginal effects are combined to interpret significant variables of the developed models. The proposed method is able to uncover the heterogeneity within the whole dataset and the homogeneous clusters. Results of this research can provide more reliable and insightful information to engineers and policy makers regarding the contributing factors to head-on crashes. |
| ArticleNumber | 105388 |
| Author | Liu, Pengfei Fan, Wei |
| Author_xml | – sequence: 1 givenname: Pengfei surname: Liu fullname: Liu, Pengfei email: pliu11@uncc.edu – sequence: 2 givenname: Wei surname: Fan fullname: Fan, Wei email: wfan7@uncc.edu |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31812900$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kT9vFDEQxS0URC6BD0CDXNLsYXv_2AdVdAokUgQN1Nbsejbnk9c-bG-U_Qh8a3xc0lCkmZknvd8r5l2QMx88EvKeszVnvPu0XwMc1oLxTdFtrdQrsuJKbirBWnlGVowxXjWtbM_JRUr7IqWS7RtyXnPFxYaxFflz_XhwIVp_T63fz3GhCR8w2rwUTXcIpgqeDhHSDhOd09HoIKPPdHCQUplzyvgvADy4JdlUDkMn-4iGunBvM52CQfeZXtEBEtKUZ7PQMNLvIeYd3UIMznp4S16P4BK-e9qX5NfX65_bm-rux7fb7dVdNdSK56qFfmRNz0c2QtfIupW8r-seNmYzdtBIAw1yoXpggrcSlWBdL4wSsq5Vb4ypL8nHU-4hht8zpqwnmwZ0DjyGOWlRC6FY13VNsX54ss79hEYfop0gLvr5fcUgT4YhhpQijnqwGbINPkewTnOmj0XpvS5F6WNR-lRUIfl_5HP4S8yXE4PlPQ8Wo06DRT-gsRGHrE2wL9B_ASnTrFs |
| CitedBy_id | crossref_primary_10_1177_03611981231192995 crossref_primary_10_1080_17457300_2025_2504975 crossref_primary_10_1016_j_aap_2020_105953 crossref_primary_10_1177_03611981211031232 crossref_primary_10_1016_j_tra_2022_09_022 crossref_primary_10_1016_j_aap_2020_105590 crossref_primary_10_1016_j_aap_2023_107056 crossref_primary_10_1080_19427867_2021_2007452 crossref_primary_10_1080_19439962_2021_1958037 crossref_primary_10_1007_s41062_023_01322_3 crossref_primary_10_1016_j_tbs_2024_100966 crossref_primary_10_1155_2022_6716275 crossref_primary_10_1080_19439962_2023_2185845 crossref_primary_10_1016_j_aap_2024_107827 crossref_primary_10_1016_j_amar_2022_100240 crossref_primary_10_1016_j_amar_2020_100120 crossref_primary_10_1177_03611981211057052 crossref_primary_10_1016_j_trd_2021_102950 crossref_primary_10_1080_15389588_2022_2072491 crossref_primary_10_1016_j_aap_2022_106951 crossref_primary_10_1109_ACCESS_2024_3443524 crossref_primary_10_3390_ijerph17207466 crossref_primary_10_1007_s11069_020_03913_0 crossref_primary_10_1177_03611981221091562 crossref_primary_10_1080_19439962_2023_2189339 crossref_primary_10_1016_j_retrec_2025_101631 crossref_primary_10_1016_j_aap_2024_107753 crossref_primary_10_1016_j_aap_2024_107874 crossref_primary_10_3390_app14051768 crossref_primary_10_1016_j_jsr_2020_11_012 crossref_primary_10_1016_j_engappai_2024_108542 crossref_primary_10_1177_03611981251324205 crossref_primary_10_1080_19427867_2024_2368348 crossref_primary_10_1109_TITS_2023_3314402 crossref_primary_10_3390_e22111191 crossref_primary_10_1016_j_oceaneng_2024_117347 crossref_primary_10_3390_ijerph17155623 crossref_primary_10_1007_s11709_022_0827_z crossref_primary_10_1080_17457300_2023_2300459 crossref_primary_10_1016_j_aap_2023_107235 crossref_primary_10_1016_j_ssci_2022_105682 crossref_primary_10_1016_j_eswa_2022_118129 crossref_primary_10_3390_bs12020023 crossref_primary_10_3390_su13137438 crossref_primary_10_1080_15389588_2021_2024523 crossref_primary_10_1016_j_oceaneng_2021_109920 crossref_primary_10_1016_j_aap_2024_107603 crossref_primary_10_1080_19439962_2021_1971814 crossref_primary_10_1080_19427867_2024_2366731 crossref_primary_10_4271_09_13_01_0002 crossref_primary_10_1016_j_jsr_2021_05_010 crossref_primary_10_1016_j_amar_2021_100188 crossref_primary_10_1080_19439962_2020_1812784 crossref_primary_10_14254_jsdtl_2023_8_1_6 crossref_primary_10_1080_17457300_2023_2180804 crossref_primary_10_3390_ijerph18041430 crossref_primary_10_3390_su151713191 crossref_primary_10_1177_03611981221150927 crossref_primary_10_1080_19427867_2024_2416304 crossref_primary_10_1016_j_trf_2023_07_014 crossref_primary_10_1016_j_trf_2024_03_013 crossref_primary_10_1007_s42979_025_04097_9 crossref_primary_10_1177_03611981231158627 crossref_primary_10_1016_j_jsr_2021_06_013 crossref_primary_10_1016_j_trf_2024_04_017 crossref_primary_10_3390_su151712904 crossref_primary_10_3390_su15010185 crossref_primary_10_1016_j_egyr_2022_07_121 crossref_primary_10_1080_15389588_2023_2286429 crossref_primary_10_1109_TII_2022_3211947 crossref_primary_10_1016_j_aap_2020_105638 crossref_primary_10_1016_j_amar_2023_100291 crossref_primary_10_1016_j_amar_2023_100292 crossref_primary_10_1016_j_amar_2021_100179 crossref_primary_10_1080_19439962_2023_2230544 crossref_primary_10_1016_j_amar_2025_100373 crossref_primary_10_1016_j_jsr_2021_09_005 |
| Cites_doi | 10.1016/j.aap.2008.01.007 10.1016/j.aap.2012.10.016 10.1067/mem.2003.186 10.1016/j.aap.2010.12.022 10.1016/j.aap.2014.06.014 10.1016/S0022-4375(98)00051-6 10.1016/j.aap.2007.06.006 10.3141/2083-14 10.1016/j.aap.2013.05.028 10.3141/1746-08 10.1177/0361198105190800119 10.1016/j.aap.2013.10.001 10.1016/j.ijresmar.2004.06.002 10.1016/j.aap.2012.08.011 10.1016/j.aap.2019.07.012 10.1080/15389588.2011.653841 10.1016/0001-4575(87)90031-5 10.1016/j.aap.2010.09.015 10.1177/0361198106195300116 10.1016/j.aap.2015.09.020 10.1016/S0001-4575(02)00135-5 10.1016/j.jsr.2003.05.009 10.1016/S0001-4575(02)00021-0 10.1016/j.gaceta.2015.03.007 10.1016/j.ssci.2012.11.001 10.1016/j.sbspro.2011.07.020 10.1016/j.aap.2015.09.025 10.1080/10705510701575602 10.1007/s11121-011-0201-1 10.1016/j.jsr.2013.04.002 10.1016/j.aap.2013.12.020 10.1016/j.aap.2005.12.009 10.1016/j.aap.2010.12.024 10.3141/1635-09 10.3390/ijerph13070714 10.1016/j.aap.2018.12.016 10.1016/j.ssci.2006.08.021 10.1016/S0386-1112(14)60134-5 10.1016/j.aap.2011.03.025 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier Ltd Copyright © 2019 Elsevier Ltd. All rights reserved. |
| Copyright_xml | – notice: 2019 Elsevier Ltd – notice: Copyright © 2019 Elsevier Ltd. All rights reserved. |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 |
| DOI | 10.1016/j.aap.2019.105388 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Social Welfare & Social Work Public Health |
| EISSN | 1879-2057 |
| ExternalDocumentID | 31812900 10_1016_j_aap_2019_105388 S0001457519312357 |
| Genre | Journal Article |
| GeographicLocations | North Carolina United States |
| GeographicLocations_xml | – name: North Carolina – name: United States |
| GroupedDBID | --- --K --M -~X ..I .~1 0R~ 1B1 1RT 1~. 23M 4.4 457 4G. 53G 5GY 5RE 5VS 7-5 71M 8P~ 9JM 9JN 9JO AABNK AACTN AAEDT AAEDW AAFJI AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO ABBQC ABDMP ABFNM ABIVO ABJNI ABMAC ABMMH ABMZM ABNUV ABXDB ACDAQ ACGFS ACHQT ACNCT ACNNM ACRLP ADBBV ADEWK ADEZE ADMUD ADTZH AEBSH AECPX AEKER AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHHHB AHJVU AHPOS AHRSL AI. AIEXJ AIKHN AITUG AJOXV AJRQY AKRWK AKURH ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ANZVX AOMHK ASPBG AVARZ AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC BNPGV CS3 EBS EFJIC EJD ENUVR EO8 EO9 EP2 EP3 F3I F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HEH HMK HMO HMY HVGLF HZ~ IHE J1W JJJVA KOM M29 M3W M3Y M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PRBVW Q38 R2- RIG ROL RPZ SAE SCC SDF SDG SDP SES SEW SPC SPCBC SSB SSG SSH SSO SSS SST SSZ T5K VH1 WUQ XPP ZCG ZGI ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACIEU ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP ANKPU APXCP CITATION EFKBS EFLBG ~HD CGR CUY CVF ECM EIF NPM 7X8 |
| ID | FETCH-LOGICAL-c381t-5abf04b1f0fa6473571b33ba9d9f6a47da4e128ba02157e8206b2d827338bddd3 |
| ISICitedReferencesCount | 87 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000512221300023&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0001-4575 1879-2057 |
| IngestDate | Sun Sep 28 12:15:06 EDT 2025 Wed Feb 19 02:31:10 EST 2025 Sat Nov 29 07:28:08 EST 2025 Tue Nov 18 21:46:27 EST 2025 Tue Jul 16 04:30:28 EDT 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Severity analysis Mixed logit model Latent class clustering Head-on crashes |
| Language | English |
| License | Copyright © 2019 Elsevier Ltd. All rights reserved. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c381t-5abf04b1f0fa6473571b33ba9d9f6a47da4e128ba02157e8206b2d827338bddd3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PMID | 31812900 |
| PQID | 2322806664 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_2322806664 pubmed_primary_31812900 crossref_citationtrail_10_1016_j_aap_2019_105388 crossref_primary_10_1016_j_aap_2019_105388 elsevier_sciencedirect_doi_10_1016_j_aap_2019_105388 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-02-01 |
| PublicationDateYYYYMMDD | 2020-02-01 |
| PublicationDate_xml | – month: 02 year: 2020 text: 2020-02-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | Accident analysis and prevention |
| PublicationTitleAlternate | Accid Anal Prev |
| PublicationYear | 2020 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Anastasopoulos, Mannering (bib0015) 2011; 43 Sasidharan, Wu, Menendez (bib0250) 2015; 85 Desapriya, Ian, Kinney (bib0080) 2005; 29 Milton, Shankar, Mannering (bib0210) 2008; 40 Train (bib0270) 2009 Lin, Chang, Huang, Hwang, Pai (bib0170) 2003; 41 Deng, Ivan, Gårder (bib0070) 2006; 1953 Ye, Lord (bib0300) 2014; 1 Duncan, Khattak, Council (bib0090) 1998; 1635 Khattak (bib0135) 2001; 1746 Yasmin, Eluru, Bhat, Tay (bib0295) 2014; 1 Chang, Xu, Zhou, Chan, Huang (bib0055) 2019; 131 Dissanayake, Roy (bib0085) 2014; 4 Sun, Sun, Shan (bib0265) 2019; 124 Mannering, Bhat (bib0195) 2014; 1 Evans, Wasielewski (bib0100) 1987; 19 Weiss, Kaplan, Prato (bib0285) 2014; 65 Liu, Fan (bib0175) 2018; 46 Mannering (bib0190) 2018; 17 Pai, Saleh (bib0235) 2007; 45 Gårder (bib0110) 2006; 38 Behnood, Roshandeh, Mannering (bib0040) 2014; 3 Hummer, Rasdorf, Findley, Zegeer, Sundstrom (bib0130) 2010; 2 Hosseinpour, Yahaya, Sadullah (bib0125) 2014; 62 Kim, Ulfarsson, Kim, Shankar (bib0140) 2013; 50 Mohamed, Saunier, Miranda-Moreno, Ukkusuri (bib0215) 2013; 54 Behnood, Mannering (bib0020) 2015; 8 Lanza, Rhoades (bib0155) 2013; 14 de Ona, López, Mujalli, Calvo (bib0065) 2013; 51 Wu, Chen, Zhang, Liu, Wang, Bogus (bib0290) 2014; 72 Chen, Cao, Logan (bib0060) 2012; 13 Li, Chen, Wu, Zhang, Liu, Prevedouros, Ma (bib0165) 2018; 20 Haleem, Gan (bib0115) 2013; 46 Alnawmasi, Mannering (bib0010) 2019; 22 Abdel-Aty (bib0005) 2003; 34 Behnood, Mannering (bib0035) 2017; 16 Shaheed, Gkritza, Zhang, Hans (bib0260) 2013; 61 Prasannakumar, Vijith, Charutha, Geetha (bib0240) 2011; 21 Depaire, Wets, Vanhoof (bib0075) 2008; 40 Feng, Li, Ci, Zhang (bib0105) 2016; 86 Kweon, Kockelman (bib0150) 2003; 35 Ma, Kockelman (bib0180) 2006 McLachlan, Peel (bib0205) 2000 Lanza, Collins, Lemmon, Schafer (bib0160) 2007; 14 Olabarria, Santamariña-Rubio, Marí-Dell’Olmo, Gotsens, Novoa, Borrell, Pérez (bib0230) 2015; 29 Chang, Li, Xu, Zhou, Haque, Huang (bib0050) 2016; 13 Kim, Ulfarsson, Kim, Shankar (bib0145) 2013; 50 Ulfarsson, Mannering (bib0275) 2004; 36 Behnood, Mannering (bib0025) 2016; 12 Washington, Karlaftis, Mannering (bib0280) 2010 Savolainen, Mannering, Lord, Quddus (bib0255) 2011; 43 Prato, Gitelman, Bekhor (bib0245) 2012; 44 Malyshkina, Mannering (bib0185) 2008; 2083 Moore, Schneider Iv, Savolainen, Farzaneh (bib0220) 2011; 43 Zhang, Ivan (bib0305) 2005; 1908 Bijmolt, Paas, Vermunt (bib0045) 2004; 21 Edwards (bib0095) 1998; 29 Mathew, Gkritza, Saad, Hans, Cerwick, Gkritza, Shaheed, Hans (bib0200) 2014; 3 Behnood, Mannering (bib0030) 2019 Heydari, Fu, Miranda-Moreno, Joseph (bib0120) 2017; 13 NHTSA (bib0225) 2017 Sun (10.1016/j.aap.2019.105388_bib0265) 2019; 124 Li (10.1016/j.aap.2019.105388_bib0165) 2018; 20 Milton (10.1016/j.aap.2019.105388_bib0210) 2008; 40 Bijmolt (10.1016/j.aap.2019.105388_bib0045) 2004; 21 Gårder (10.1016/j.aap.2019.105388_bib0110) 2006; 38 Pai (10.1016/j.aap.2019.105388_bib0235) 2007; 45 Behnood (10.1016/j.aap.2019.105388_bib0020) 2015; 8 Khattak (10.1016/j.aap.2019.105388_bib0135) 2001; 1746 Hosseinpour (10.1016/j.aap.2019.105388_bib0125) 2014; 62 Lanza (10.1016/j.aap.2019.105388_bib0160) 2007; 14 Evans (10.1016/j.aap.2019.105388_bib0100) 1987; 19 Malyshkina (10.1016/j.aap.2019.105388_bib0185) 2008; 2083 Behnood (10.1016/j.aap.2019.105388_bib0025) 2016; 12 Chang (10.1016/j.aap.2019.105388_bib0055) 2019; 131 Train (10.1016/j.aap.2019.105388_bib0270) 2009 Kweon (10.1016/j.aap.2019.105388_bib0150) 2003; 35 Kim (10.1016/j.aap.2019.105388_bib0145) 2013; 50 Moore (10.1016/j.aap.2019.105388_bib0220) 2011; 43 Olabarria (10.1016/j.aap.2019.105388_bib0230) 2015; 29 Mannering (10.1016/j.aap.2019.105388_bib0190) 2018; 17 Anastasopoulos (10.1016/j.aap.2019.105388_bib0015) 2011; 43 Chen (10.1016/j.aap.2019.105388_bib0060) 2012; 13 Alnawmasi (10.1016/j.aap.2019.105388_bib0010) 2019; 22 Feng (10.1016/j.aap.2019.105388_bib0105) 2016; 86 Washington (10.1016/j.aap.2019.105388_bib0280) 2010 Chang (10.1016/j.aap.2019.105388_bib0050) 2016; 13 Abdel-Aty (10.1016/j.aap.2019.105388_bib0005) 2003; 34 Weiss (10.1016/j.aap.2019.105388_bib0285) 2014; 65 de Ona (10.1016/j.aap.2019.105388_bib0065) 2013; 51 Behnood (10.1016/j.aap.2019.105388_bib0035) 2017; 16 Prato (10.1016/j.aap.2019.105388_bib0245) 2012; 44 Mathew (10.1016/j.aap.2019.105388_bib0200) 2014; 3 Mohamed (10.1016/j.aap.2019.105388_bib0215) 2013; 54 NHTSA (10.1016/j.aap.2019.105388_bib0225) 2017 Ye (10.1016/j.aap.2019.105388_bib0300) 2014; 1 Prasannakumar (10.1016/j.aap.2019.105388_bib0240) 2011; 21 Duncan (10.1016/j.aap.2019.105388_bib0090) 1998; 1635 Savolainen (10.1016/j.aap.2019.105388_bib0255) 2011; 43 Yasmin (10.1016/j.aap.2019.105388_bib0295) 2014; 1 Depaire (10.1016/j.aap.2019.105388_bib0075) 2008; 40 Sasidharan (10.1016/j.aap.2019.105388_bib0250) 2015; 85 Lin (10.1016/j.aap.2019.105388_bib0170) 2003; 41 Zhang (10.1016/j.aap.2019.105388_bib0305) 2005; 1908 Lanza (10.1016/j.aap.2019.105388_bib0155) 2013; 14 Haleem (10.1016/j.aap.2019.105388_bib0115) 2013; 46 Desapriya (10.1016/j.aap.2019.105388_bib0080) 2005; 29 McLachlan (10.1016/j.aap.2019.105388_bib0205) 2000 Behnood (10.1016/j.aap.2019.105388_bib0040) 2014; 3 Ulfarsson (10.1016/j.aap.2019.105388_bib0275) 2004; 36 Ma (10.1016/j.aap.2019.105388_bib0180) 2006 Hummer (10.1016/j.aap.2019.105388_bib0130) 2010; 2 Edwards (10.1016/j.aap.2019.105388_bib0095) 1998; 29 Liu (10.1016/j.aap.2019.105388_bib0175) 2018; 46 Kim (10.1016/j.aap.2019.105388_bib0140) 2013; 50 Wu (10.1016/j.aap.2019.105388_bib0290) 2014; 72 Heydari (10.1016/j.aap.2019.105388_bib0120) 2017; 13 Mannering (10.1016/j.aap.2019.105388_bib0195) 2014; 1 Deng (10.1016/j.aap.2019.105388_bib0070) 2006; 1953 Shaheed (10.1016/j.aap.2019.105388_bib0260) 2013; 61 Behnood (10.1016/j.aap.2019.105388_bib0030) 2019 Dissanayake (10.1016/j.aap.2019.105388_bib0085) 2014; 4 |
| References_xml | – volume: 21 start-page: 323 year: 2004 end-page: 340 ident: bib0045 article-title: Country and consumer segmentation:multi-level latent class analysis of financial product ownership publication-title: Int. J. Res. Mark. – volume: 43 start-page: 621 year: 2011 end-page: 630 ident: bib0220 article-title: Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and nonintersection locations publication-title: Accid. Anal. Prev. – volume: 35 start-page: 441 year: 2003 end-page: 450 ident: bib0150 article-title: Overall injury risk to different drivers: combining exposure, frequency, and severity models publication-title: Accid. Anal. Prev. – volume: 1953 start-page: 137 year: 2006 end-page: 146 ident: bib0070 article-title: Analysis of factors affecting the severity of head-on crashes: two-lane rural highways in Connecticut publication-title: Transp. Res. Rec. – volume: 85 start-page: 219 year: 2015 end-page: 228 ident: bib0250 article-title: Exploring the application of latent class cluster analysis for investigating pedestrian crash injury severities in Switzerland publication-title: Accid. Anal. Prev. – volume: 13 start-page: 300 year: 2012 end-page: 307 ident: bib0060 article-title: Analysis of risk factors affecting the severity of intersection crashes by logistic regression publication-title: Traffic Inj. Prev. – volume: 44 start-page: 56 year: 2012 end-page: 62 ident: bib0245 article-title: Mapping patterns of pedestrian fatal accidents in Israel publication-title: Accid. Anal. Prev. – volume: 61 start-page: 119 year: 2013 end-page: 128 ident: bib0260 article-title: A mixed logit analysis of two-vehicle crash severities involving a motorcycle publication-title: Accid. Anal. Prev. – volume: 12 start-page: 1 year: 2016 end-page: 17 ident: bib0025 article-title: An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models publication-title: Anal. Methods Accid. Res. – volume: 43 start-page: 1666 year: 2011 end-page: 1676 ident: bib0255 article-title: The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives publication-title: Accid. Anal. Prev. – volume: 2 start-page: 203 year: 2010 end-page: 220 ident: bib0130 article-title: Curve collisions: road and collision characteristics and countermeasures publication-title: J. Transp. Saf. Secur. – volume: 21 start-page: 317 year: 2011 end-page: 325 ident: bib0240 article-title: Spatio-temporal clustering of road accidents: GIS based analysis and assessment publication-title: Procedia - Soc. Behav. Sci. – volume: 131 start-page: 316 year: 2019 end-page: 326 ident: bib0055 article-title: Investigating injury severities of motorcycle riders: a two-step method integrating latent class cluster analysis and random parameters logit model publication-title: Accid. Anal. Prev. – volume: 3 start-page: 11 year: 2014 end-page: 27 ident: bib0200 article-title: A comparison of the mixed logit and latent class methods for crash severity analysis publication-title: Anal. Methods Accid. Res. – year: 2006 ident: bib0180 article-title: Crash frequency and severity modeling using clustered data from Washington state publication-title: IEEE Intelligent Transportation Systems Conference – volume: 36 start-page: 135 year: 2004 end-page: 147 ident: bib0275 article-title: Differences in male and female injury severities in sport-utility vehicle, minivan, pickup and passenger car accidents publication-title: Accid. Anal. Prev. – volume: 45 start-page: 832 year: 2007 end-page: 847 ident: bib0235 article-title: An analysis of motorcyclist injury severity under various traffic control measures at three-legged junctions in the UK publication-title: Saf. Sci. – year: 2010 ident: bib0280 article-title: Statistical and Econometric Methods for Transportation Data Analysis – volume: 62 start-page: 209 year: 2014 end-page: 222 ident: bib0125 article-title: Exploring the effects of roadway characteristics on the frequency and severity of head-on crashes: case studies from Malaysian federal roads publication-title: Accid. Anal. Prev. – volume: 1 start-page: 72 year: 2014 end-page: 85 ident: bib0300 article-title: Comparing three commonly used crash severity models on sample size requirements: multinomial logit, ordered probit and mixed logit models publication-title: Anal. Methods Accid. Res. – volume: 22 year: 2019 ident: bib0010 article-title: A statistical assessment of temporal instability in the factors determining motorcyclist injury severities publication-title: Anal. Methods Accid. Res. – volume: 16 start-page: 35 year: 2017 end-page: 47 ident: bib0035 article-title: Determinants of bicyclist injury severities in bicycle-vehicle crashes: a random parameters approach with heterogeneity in means and variances publication-title: Anal. Methods Accid. Res. – volume: 1635 start-page: 63 year: 1998 end-page: 71 ident: bib0090 article-title: Applying the ordered probit model to injury severity in truck-passenger car rear-end collisions publication-title: Transp. Res. Rec. – volume: 19 start-page: 119 year: 1987 end-page: 131 ident: bib0100 article-title: Serious or fatal driver injury rate versus car mass in head-on crashes between cars of similar mass publication-title: Accid. Anal. Prev. – volume: 8 start-page: 7 year: 2015 end-page: 32 ident: bib0020 article-title: The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: some empirical evidence publication-title: Anal. Methods Accid. Res. – volume: 65 start-page: 142 year: 2014 end-page: 155 ident: bib0285 article-title: Analysis of factors associated with injury severity in crashes involving young New Zealand drivers publication-title: Accid. Anal. Prev. – volume: 41 start-page: 783 year: 2003 end-page: 791 ident: bib0170 article-title: Factors associated with severity of motorcycle injuries among young adult riders publication-title: Ann. Emerg. Med. – volume: 29 start-page: 16 year: 2015 end-page: 23 ident: bib0230 article-title: Head-on crashes on two-way interurban roads: a public health concern in road safety publication-title: Gac. Sanit. – volume: 13 start-page: 714 year: 2016 ident: bib0050 article-title: Injury severity of motorcycle riders involved in traffic crashes in Hunan, China: a mixed ordered logit approach publication-title: Int. J. Environ. Res. Public Health – volume: 72 start-page: 105 year: 2014 end-page: 115 ident: bib0290 article-title: Mixed logit model-based driver injury severity investigations in single- and multi-vehicle crashes on rural two-lane highways publication-title: Accid. Anal. Prev. – volume: 4 start-page: 1 year: 2014 ident: bib0085 article-title: Crash severity analysis of single vehicle run-off-road crashes publication-title: J. Transp. Technol. – volume: 17 start-page: 1 year: 2018 end-page: 13 ident: bib0190 article-title: Temporal instability and the analysis of highway accident data publication-title: Anal. Methods Accid. Res. – volume: 34 start-page: 597 year: 2003 end-page: 603 ident: bib0005 article-title: Analysis of driver injury severity levels at multiple locations using ordered probit models publication-title: J. Saf. Res. – volume: 3 start-page: 56 year: 2014 end-page: 91 ident: bib0040 article-title: Latent class analysis of the effects of age, gender, and alcohol consumption on driver-injury severities publication-title: Anal. Methods Accid. Res. – volume: 14 start-page: 671 year: 2007 end-page: 694 ident: bib0160 article-title: PROC LCA: a SAS procedure for latent class analysis publication-title: Struct. Equ. Model. A Multidiscip. J. – volume: 50 start-page: 1073 year: 2013 end-page: 1081 ident: bib0145 article-title: Driver-injury severity in single-vehicle crashes in california: a mixed logit analysis of heterogeneity due to age and gender publication-title: Accid. Anal. Prev. – volume: 46 start-page: 322 year: 2018 end-page: 328 ident: bib0175 article-title: Modeling head-on crash severity on NCDOT freeways: a mixed logit model approach publication-title: Can. J. Civ. Eng. – volume: 29 start-page: 249 year: 1998 end-page: 262 ident: bib0095 article-title: The relationship between road accident severity and recorded weather publication-title: J. Saf. Res. – volume: 54 start-page: 27 year: 2013 end-page: 37 ident: bib0215 article-title: A clustering regression approach: a comprehensive injury severity analysis of pedestrian–vehicle crashes in New York, US and Montreal, Canada publication-title: Saf. Sci. – volume: 14 start-page: 157 year: 2013 end-page: 168 ident: bib0155 article-title: Latent class analysis: an alternative perspective on subgroup analysis in prevention and treatment publication-title: Prev. Sci. – volume: 1 start-page: 23 year: 2014 end-page: 38 ident: bib0295 article-title: A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity publication-title: Anal. Methods Accid. Res. – volume: 124 start-page: 50 year: 2019 end-page: 57 ident: bib0265 article-title: Pedestrian crash analysis with latent class clustering method publication-title: Accid. Anal. Prev. – volume: 1908 start-page: 159 year: 2005 end-page: 164 ident: bib0305 article-title: Effects of geometric characteristics on head-on crash incidence on two-lane roads in Connecticut publication-title: Transp. Res. Rec. – volume: 40 start-page: 260 year: 2008 end-page: 266 ident: bib0210 article-title: Highway accident severities and the mixed logit model: an exploratory empirical analysis publication-title: Accid. Anal. Prev. – volume: 51 start-page: 1 year: 2013 end-page: 10 ident: bib0065 article-title: Analysis of traffic accidents on rural highways using latent class clustering and Bayesian networks publication-title: Accid. Anal. Prev. – year: 2000 ident: bib0205 article-title: Finite Mixture Models – volume: 20 start-page: 1 year: 2018 end-page: 14 ident: bib0165 article-title: Exploring driver injury severity patterns and causes in low visibility related single-vehicle crashes using a finite mixture random parameters model publication-title: Anal. Methods Accid. Res. – year: 2017 ident: bib0225 article-title: Traffic Safety Facts 2015: a Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System – volume: 40 start-page: 1257 year: 2008 end-page: 1266 ident: bib0075 article-title: Traffic accident segmentation by means of latent class clustering publication-title: Accid. Anal. Prev. – volume: 2083 start-page: 122 year: 2008 end-page: 127 ident: bib0185 article-title: Effect of increases in speed limits on severities of injuries in accidents publication-title: Transp. Res. Rec. – year: 2019 ident: bib0030 article-title: Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes publication-title: Anal. Methods Accid. Res. – volume: 50 start-page: 1073 year: 2013 end-page: 1081 ident: bib0140 article-title: Driver-injury severity in single-vehicle crashes in California: a mixed logit analysis of heterogeneity due to age and gender publication-title: Accid. Anal. Prev. – volume: 46 start-page: 67 year: 2013 end-page: 76 ident: bib0115 article-title: Effect of driver’s age and side of impact on crash severity along urban freeways: a mixed logit approach publication-title: J. Saf. Res. – volume: 43 start-page: 1140 year: 2011 end-page: 1147 ident: bib0015 article-title: An empirical assessment of fixed and random parameter logit models using crash-and non-crash-specific injury data publication-title: Accid. Anal. Prev. – volume: 38 start-page: 652 year: 2006 end-page: 661 ident: bib0110 article-title: Segment characteristics and severity of head-on crashes on two-lane rural highways in Maine publication-title: Accid. Anal. Prev. – volume: 86 start-page: 29 year: 2016 end-page: 39 ident: bib0105 article-title: Risk factors affecting fatal bus accident severity: their impact on different types of bus drivers publication-title: Accid. Anal. Prev. – volume: 1746 start-page: 59 year: 2001 end-page: 68 ident: bib0135 article-title: Injury severity in multivehicle rear-end crashes publication-title: Transp. Res. Rec. – volume: 1 start-page: 1 year: 2014 end-page: 22 ident: bib0195 article-title: Analytic methods in accident research: methodological frontier and future directions publication-title: Anal. Methods Accid. Res. – volume: 29 start-page: 60 year: 2005 end-page: 66 ident: bib0080 article-title: The risk of injury and vehicle damage severity in vehicle mismatched side impact crashes in British Columbia publication-title: IATSS Res. – volume: 13 start-page: 16 year: 2017 end-page: 27 ident: bib0120 article-title: Using a flexible multivariate latent class approach to model correlated outcomes: a joint analysis of pedestrian and cyclist injuries publication-title: Anal. Methods Accid. Res. – year: 2009 ident: bib0270 article-title: Discrete Choice Methods with Simulation – year: 2010 ident: 10.1016/j.aap.2019.105388_bib0280 – volume: 40 start-page: 1257 issue: 4 year: 2008 ident: 10.1016/j.aap.2019.105388_bib0075 article-title: Traffic accident segmentation by means of latent class clustering publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2008.01.007 – volume: 51 start-page: 1 year: 2013 ident: 10.1016/j.aap.2019.105388_bib0065 article-title: Analysis of traffic accidents on rural highways using latent class clustering and Bayesian networks publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2012.10.016 – volume: 1 start-page: 72 year: 2014 ident: 10.1016/j.aap.2019.105388_bib0300 article-title: Comparing three commonly used crash severity models on sample size requirements: multinomial logit, ordered probit and mixed logit models publication-title: Anal. Methods Accid. Res. – volume: 41 start-page: 783 issue: 6 year: 2003 ident: 10.1016/j.aap.2019.105388_bib0170 article-title: Factors associated with severity of motorcycle injuries among young adult riders publication-title: Ann. Emerg. Med. doi: 10.1067/mem.2003.186 – volume: 44 start-page: 56 year: 2012 ident: 10.1016/j.aap.2019.105388_bib0245 article-title: Mapping patterns of pedestrian fatal accidents in Israel publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2010.12.022 – volume: 72 start-page: 105 year: 2014 ident: 10.1016/j.aap.2019.105388_bib0290 article-title: Mixed logit model-based driver injury severity investigations in single- and multi-vehicle crashes on rural two-lane highways publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2014.06.014 – volume: 29 start-page: 249 issue: 4 year: 1998 ident: 10.1016/j.aap.2019.105388_bib0095 article-title: The relationship between road accident severity and recorded weather publication-title: J. Saf. Res. doi: 10.1016/S0022-4375(98)00051-6 – year: 2006 ident: 10.1016/j.aap.2019.105388_bib0180 article-title: Crash frequency and severity modeling using clustered data from Washington state – volume: 13 start-page: 16 year: 2017 ident: 10.1016/j.aap.2019.105388_bib0120 article-title: Using a flexible multivariate latent class approach to model correlated outcomes: a joint analysis of pedestrian and cyclist injuries publication-title: Anal. Methods Accid. Res. – year: 2019 ident: 10.1016/j.aap.2019.105388_bib0030 article-title: Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes publication-title: Anal. Methods Accid. Res. – volume: 1 start-page: 1 year: 2014 ident: 10.1016/j.aap.2019.105388_bib0195 article-title: Analytic methods in accident research: methodological frontier and future directions publication-title: Anal. Methods Accid. Res. – volume: 40 start-page: 260 issue: 1 year: 2008 ident: 10.1016/j.aap.2019.105388_bib0210 article-title: Highway accident severities and the mixed logit model: an exploratory empirical analysis publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2007.06.006 – volume: 46 start-page: 322 issue: 6 year: 2018 ident: 10.1016/j.aap.2019.105388_bib0175 article-title: Modeling head-on crash severity on NCDOT freeways: a mixed logit model approach publication-title: Can. J. Civ. Eng. – volume: 2083 start-page: 122 year: 2008 ident: 10.1016/j.aap.2019.105388_bib0185 article-title: Effect of increases in speed limits on severities of injuries in accidents publication-title: Transp. Res. Rec. doi: 10.3141/2083-14 – year: 2017 ident: 10.1016/j.aap.2019.105388_bib0225 – volume: 61 start-page: 119 year: 2013 ident: 10.1016/j.aap.2019.105388_bib0260 article-title: A mixed logit analysis of two-vehicle crash severities involving a motorcycle publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2013.05.028 – volume: 1746 start-page: 59 year: 2001 ident: 10.1016/j.aap.2019.105388_bib0135 article-title: Injury severity in multivehicle rear-end crashes publication-title: Transp. Res. Rec. doi: 10.3141/1746-08 – volume: 1908 start-page: 159 issue: 1 year: 2005 ident: 10.1016/j.aap.2019.105388_bib0305 article-title: Effects of geometric characteristics on head-on crash incidence on two-lane roads in Connecticut publication-title: Transp. Res. Rec. doi: 10.1177/0361198105190800119 – volume: 62 start-page: 209 year: 2014 ident: 10.1016/j.aap.2019.105388_bib0125 article-title: Exploring the effects of roadway characteristics on the frequency and severity of head-on crashes: case studies from Malaysian federal roads publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2013.10.001 – volume: 21 start-page: 323 year: 2004 ident: 10.1016/j.aap.2019.105388_bib0045 article-title: Country and consumer segmentation:multi-level latent class analysis of financial product ownership publication-title: Int. J. Res. Mark. doi: 10.1016/j.ijresmar.2004.06.002 – volume: 50 start-page: 1073 year: 2013 ident: 10.1016/j.aap.2019.105388_bib0145 article-title: Driver-injury severity in single-vehicle crashes in california: a mixed logit analysis of heterogeneity due to age and gender publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2012.08.011 – volume: 131 start-page: 316 year: 2019 ident: 10.1016/j.aap.2019.105388_bib0055 article-title: Investigating injury severities of motorcycle riders: a two-step method integrating latent class cluster analysis and random parameters logit model publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2019.07.012 – volume: 2 start-page: 203 issue: 3 year: 2010 ident: 10.1016/j.aap.2019.105388_bib0130 article-title: Curve collisions: road and collision characteristics and countermeasures publication-title: J. Transp. Saf. Secur. – volume: 50 start-page: 1073 year: 2013 ident: 10.1016/j.aap.2019.105388_bib0140 article-title: Driver-injury severity in single-vehicle crashes in California: a mixed logit analysis of heterogeneity due to age and gender publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2012.08.011 – volume: 12 start-page: 1 year: 2016 ident: 10.1016/j.aap.2019.105388_bib0025 article-title: An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models publication-title: Anal. Methods Accid. Res. – volume: 13 start-page: 300 issue: 3 year: 2012 ident: 10.1016/j.aap.2019.105388_bib0060 article-title: Analysis of risk factors affecting the severity of intersection crashes by logistic regression publication-title: Traffic Inj. Prev. doi: 10.1080/15389588.2011.653841 – year: 2000 ident: 10.1016/j.aap.2019.105388_bib0205 – volume: 3 start-page: 11 year: 2014 ident: 10.1016/j.aap.2019.105388_bib0200 article-title: A comparison of the mixed logit and latent class methods for crash severity analysis publication-title: Anal. Methods Accid. Res. – volume: 19 start-page: 119 issue: 2 year: 1987 ident: 10.1016/j.aap.2019.105388_bib0100 article-title: Serious or fatal driver injury rate versus car mass in head-on crashes between cars of similar mass publication-title: Accid. Anal. Prev. doi: 10.1016/0001-4575(87)90031-5 – volume: 43 start-page: 621 issue: 3 year: 2011 ident: 10.1016/j.aap.2019.105388_bib0220 article-title: Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and nonintersection locations publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2010.09.015 – volume: 16 start-page: 35 year: 2017 ident: 10.1016/j.aap.2019.105388_bib0035 article-title: Determinants of bicyclist injury severities in bicycle-vehicle crashes: a random parameters approach with heterogeneity in means and variances publication-title: Anal. Methods Accid. Res. – volume: 1953 start-page: 137 year: 2006 ident: 10.1016/j.aap.2019.105388_bib0070 article-title: Analysis of factors affecting the severity of head-on crashes: two-lane rural highways in Connecticut publication-title: Transp. Res. Rec. doi: 10.1177/0361198106195300116 – volume: 85 start-page: 219 year: 2015 ident: 10.1016/j.aap.2019.105388_bib0250 article-title: Exploring the application of latent class cluster analysis for investigating pedestrian crash injury severities in Switzerland publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2015.09.020 – volume: 36 start-page: 135 issue: 2 year: 2004 ident: 10.1016/j.aap.2019.105388_bib0275 article-title: Differences in male and female injury severities in sport-utility vehicle, minivan, pickup and passenger car accidents publication-title: Accid. Anal. Prev. doi: 10.1016/S0001-4575(02)00135-5 – volume: 34 start-page: 597 issue: 5 year: 2003 ident: 10.1016/j.aap.2019.105388_bib0005 article-title: Analysis of driver injury severity levels at multiple locations using ordered probit models publication-title: J. Saf. Res. doi: 10.1016/j.jsr.2003.05.009 – volume: 35 start-page: 441 issue: 4 year: 2003 ident: 10.1016/j.aap.2019.105388_bib0150 article-title: Overall injury risk to different drivers: combining exposure, frequency, and severity models publication-title: Accid. Anal. Prev. doi: 10.1016/S0001-4575(02)00021-0 – volume: 29 start-page: 16 year: 2015 ident: 10.1016/j.aap.2019.105388_bib0230 article-title: Head-on crashes on two-way interurban roads: a public health concern in road safety publication-title: Gac. Sanit. doi: 10.1016/j.gaceta.2015.03.007 – volume: 54 start-page: 27 year: 2013 ident: 10.1016/j.aap.2019.105388_bib0215 article-title: A clustering regression approach: a comprehensive injury severity analysis of pedestrian–vehicle crashes in New York, US and Montreal, Canada publication-title: Saf. Sci. doi: 10.1016/j.ssci.2012.11.001 – volume: 1 start-page: 23 year: 2014 ident: 10.1016/j.aap.2019.105388_bib0295 article-title: A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity publication-title: Anal. Methods Accid. Res. – volume: 3 start-page: 56 year: 2014 ident: 10.1016/j.aap.2019.105388_bib0040 article-title: Latent class analysis of the effects of age, gender, and alcohol consumption on driver-injury severities publication-title: Anal. Methods Accid. Res. – volume: 21 start-page: 317 year: 2011 ident: 10.1016/j.aap.2019.105388_bib0240 article-title: Spatio-temporal clustering of road accidents: GIS based analysis and assessment publication-title: Procedia - Soc. Behav. Sci. doi: 10.1016/j.sbspro.2011.07.020 – volume: 86 start-page: 29 year: 2016 ident: 10.1016/j.aap.2019.105388_bib0105 article-title: Risk factors affecting fatal bus accident severity: their impact on different types of bus drivers publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2015.09.025 – year: 2009 ident: 10.1016/j.aap.2019.105388_bib0270 – volume: 14 start-page: 671 issue: 4 year: 2007 ident: 10.1016/j.aap.2019.105388_bib0160 article-title: PROC LCA: a SAS procedure for latent class analysis publication-title: Struct. Equ. Model. A Multidiscip. J. doi: 10.1080/10705510701575602 – volume: 8 start-page: 7 year: 2015 ident: 10.1016/j.aap.2019.105388_bib0020 article-title: The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: some empirical evidence publication-title: Anal. Methods Accid. Res. – volume: 14 start-page: 157 issue: 2 year: 2013 ident: 10.1016/j.aap.2019.105388_bib0155 article-title: Latent class analysis: an alternative perspective on subgroup analysis in prevention and treatment publication-title: Prev. Sci. doi: 10.1007/s11121-011-0201-1 – volume: 22 year: 2019 ident: 10.1016/j.aap.2019.105388_bib0010 article-title: A statistical assessment of temporal instability in the factors determining motorcyclist injury severities publication-title: Anal. Methods Accid. Res. – volume: 46 start-page: 67 year: 2013 ident: 10.1016/j.aap.2019.105388_bib0115 article-title: Effect of driver’s age and side of impact on crash severity along urban freeways: a mixed logit approach publication-title: J. Saf. Res. doi: 10.1016/j.jsr.2013.04.002 – volume: 65 start-page: 142 year: 2014 ident: 10.1016/j.aap.2019.105388_bib0285 article-title: Analysis of factors associated with injury severity in crashes involving young New Zealand drivers publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2013.12.020 – volume: 38 start-page: 652 issue: 4 year: 2006 ident: 10.1016/j.aap.2019.105388_bib0110 article-title: Segment characteristics and severity of head-on crashes on two-lane rural highways in Maine publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2005.12.009 – volume: 20 start-page: 1 year: 2018 ident: 10.1016/j.aap.2019.105388_bib0165 article-title: Exploring driver injury severity patterns and causes in low visibility related single-vehicle crashes using a finite mixture random parameters model publication-title: Anal. Methods Accid. Res. – volume: 43 start-page: 1140 issue: 3 year: 2011 ident: 10.1016/j.aap.2019.105388_bib0015 article-title: An empirical assessment of fixed and random parameter logit models using crash-and non-crash-specific injury data publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2010.12.024 – volume: 1635 start-page: 63 year: 1998 ident: 10.1016/j.aap.2019.105388_bib0090 article-title: Applying the ordered probit model to injury severity in truck-passenger car rear-end collisions publication-title: Transp. Res. Rec. doi: 10.3141/1635-09 – volume: 13 start-page: 714 issue: 7 year: 2016 ident: 10.1016/j.aap.2019.105388_bib0050 article-title: Injury severity of motorcycle riders involved in traffic crashes in Hunan, China: a mixed ordered logit approach publication-title: Int. J. Environ. Res. Public Health doi: 10.3390/ijerph13070714 – volume: 4 start-page: 1 issue: 01 year: 2014 ident: 10.1016/j.aap.2019.105388_bib0085 article-title: Crash severity analysis of single vehicle run-off-road crashes publication-title: J. Transp. Technol. – volume: 124 start-page: 50 year: 2019 ident: 10.1016/j.aap.2019.105388_bib0265 article-title: Pedestrian crash analysis with latent class clustering method publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2018.12.016 – volume: 45 start-page: 832 issue: 8 year: 2007 ident: 10.1016/j.aap.2019.105388_bib0235 article-title: An analysis of motorcyclist injury severity under various traffic control measures at three-legged junctions in the UK publication-title: Saf. Sci. doi: 10.1016/j.ssci.2006.08.021 – volume: 29 start-page: 60 issue: 2 year: 2005 ident: 10.1016/j.aap.2019.105388_bib0080 article-title: The risk of injury and vehicle damage severity in vehicle mismatched side impact crashes in British Columbia publication-title: IATSS Res. doi: 10.1016/S0386-1112(14)60134-5 – volume: 17 start-page: 1 year: 2018 ident: 10.1016/j.aap.2019.105388_bib0190 article-title: Temporal instability and the analysis of highway accident data publication-title: Anal. Methods Accid. Res. – volume: 43 start-page: 1666 issue: 5 year: 2011 ident: 10.1016/j.aap.2019.105388_bib0255 article-title: The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2011.03.025 |
| SSID | ssj0007875 |
| Score | 2.570016 |
| Snippet | •This paper examines injury severity of head-on crashes in North Carolina.•Latent class clustering analysis is conducted to reduce heterogeneity in the crash... Although only 2 % of crashes are head-on crashes in the United States, they account for over 10 % of all crash-related fatalities. This study aims to... |
| SourceID | proquest pubmed crossref elsevier |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 105388 |
| SubjectTerms | Accidents, Traffic - mortality Adult Driving Under the Influence - statistics & numerical data Female Head-on crashes Humans Injury Severity Score Latent Class Analysis Latent class clustering Logistic Models Male Middle Aged Mixed logit model North Carolina - epidemiology Severity analysis United States Wounds and Injuries - epidemiology Young Adult |
| Title | Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of North Carolina |
| URI | https://dx.doi.org/10.1016/j.aap.2019.105388 https://www.ncbi.nlm.nih.gov/pubmed/31812900 https://www.proquest.com/docview/2322806664 |
| Volume | 135 |
| WOSCitedRecordID | wos000512221300023&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1879-2057 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0007875 issn: 0001-4575 databaseCode: AIEXJ dateStart: 19950201 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LbxMxELbSlgMSQlBegVINEuqBaKNN9mluUZUKUBQ4pDS3le31loSwCcmmisQv4F8zfm1aoFU5cLE21nqzyvdl_Hk8niHkdZRSFoex9NQukRcWwvdS7ktPRIKiSRaU6QDZz4NkOEzHY_qp0fjhzsJczJKyTDcbuvivUGMfgq2Ozv4D3PVDsQOvEXRsEXZsbwX8NqpuUk7xF2vh3CdViTrl2kDTm3sIuFiy1Re5aq21q2CGgrOsWkIpaWzXKnmCObxoM5Yo7_q3yQbFqTKVlamfYw61C5wGTZJa7XzQ20DHthbQZeXbE0LVL62uPnRhM0htgwEGk7WJGy7PCzmp6WX8tGe2x7opcE3q1yEfxrKmCUWcTDbqtvxLnzPHQXTJoKL8C0zdvz9svXE7TNuMqbyjHdre3ns1r_bwY3ZyOhhko_54dLT47qmSY2pr3tZf2SF73SSiaNX3eu_74w_1RI62TEXA1m_pNsV1eOBv33qdrLlu2aLly-gBuW_XHdAzfHlIGrLcJ_eM0xbMWbR9cmAOa8OZnBVsKeEIXMd8-fUR-VlTCwy1wFELP4OlFlhqgaYWGGqBphZsqQWOBXiRg6YWaGqBptZb6IEiFmhiwbwATSxwxHpMTk_6o-N3ni3l4QmUhJUXMV74Ie8UfoGmIQmipMODgDOa0yJmYZKzUKJS4kxJ0ESqogK8m6eorYOU53kePCG75byUzwh0eBQJmYpuVyZhyDhHySmDxOdFTDnK-SbxHRKZsHnuVbmVWeYCGqcZgpcp8DIDXpO8qYcsTJKXm24OHbyZValGfWZIzJuGvXJUyNCCq205Vsr5epXhmkaFN8Rx2CRPDUfqtwiUAKe-__wWo1-Qu9s_3gHZrZZr-ZLcERfVZLU8JDvJOD20FP8FSMPJhw |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Exploring+injury+severity+in+head-on+crashes+using+latent+class+clustering+analysis+and+mixed+logit+model%3A+A+case+study+of+North+Carolina&rft.jtitle=Accident+analysis+and+prevention&rft.au=Liu%2C+Pengfei&rft.au=Fan%2C+Wei&rft.date=2020-02-01&rft.issn=1879-2057&rft.eissn=1879-2057&rft.volume=135&rft.spage=105388&rft_id=info:doi/10.1016%2Fj.aap.2019.105388&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0001-4575&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0001-4575&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0001-4575&client=summon |