Applying an extended theory of planned behavior to predicting violations at automated railroad crossings
•Based on an extended TPB, we predicted pedestrians’ and car drivers’ violations at an automated railroad crossing.•Three chronologically related railroad-crossing situations with varying levels of risk were tested.•Frequency of risky crossing, attitude, and subjective norms were the main predictors...
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Veröffentlicht in: | Accident analysis and prevention 2017-01, Vol.98 (98), p.174-184 |
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description | •Based on an extended TPB, we predicted pedestrians’ and car drivers’ violations at an automated railroad crossing.•Three chronologically related railroad-crossing situations with varying levels of risk were tested.•Frequency of risky crossing, attitude, and subjective norms were the main predictors of violations.•In the most dangerous situations, violations were the least likely and the most unpredictable for both pedestrians and drivers.
Based on an extended Theory of Planned Behavior (TPB, Ajzen, 1985, 1991), we conducted surveys in order to explain and predict violations at a railroad crossing, among pedestrians (n=153) and car drivers (n=151). Measures were made with respect to three chronologically related railroad crossing situations that varied in risk level. The situations were described in scenarios and depicted on photographs. The participants were recruited in the suburbs of Paris, at two automated railroad crossings with four half-barriers. We found that the pedestrians had stronger crossing intentions than did car drivers, especially at the more congested crossing of the two under study. For both categories of road users, intentions and the amount of intention variance explained by the extended TPB factors decreased significantly with risk level. In the most dangerous situations, risk-taking was the most unlikely and the least predictable Self-reported past frequency of crossing against safety warning devices was the main predictor of the intention to commit this violation again, especially among males, followed by the attitude and the injunctive norm in favor the violation. Moreover, car drivers were influenced in their crossing intentions by the descriptive norm. The presence of another vehicle on the tracks when the safety warning devices were activated was perceived not as facilitating, but as an additional risk factor. The discussion addresses the importance of taking into account these determinants of violations in conceiving countermeasures. Our findings could be especially useful for conceiving risk-communication campaigns. |
doi_str_mv | 10.1016/j.aap.2016.10.005 |
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Based on an extended Theory of Planned Behavior (TPB, Ajzen, 1985, 1991), we conducted surveys in order to explain and predict violations at a railroad crossing, among pedestrians (n=153) and car drivers (n=151). Measures were made with respect to three chronologically related railroad crossing situations that varied in risk level. The situations were described in scenarios and depicted on photographs. The participants were recruited in the suburbs of Paris, at two automated railroad crossings with four half-barriers. We found that the pedestrians had stronger crossing intentions than did car drivers, especially at the more congested crossing of the two under study. For both categories of road users, intentions and the amount of intention variance explained by the extended TPB factors decreased significantly with risk level. In the most dangerous situations, risk-taking was the most unlikely and the least predictable Self-reported past frequency of crossing against safety warning devices was the main predictor of the intention to commit this violation again, especially among males, followed by the attitude and the injunctive norm in favor the violation. Moreover, car drivers were influenced in their crossing intentions by the descriptive norm. The presence of another vehicle on the tracks when the safety warning devices were activated was perceived not as facilitating, but as an additional risk factor. The discussion addresses the importance of taking into account these determinants of violations in conceiving countermeasures. Our findings could be especially useful for conceiving risk-communication campaigns.</description><identifier>ISSN: 0001-4575</identifier><identifier>EISSN: 1879-2057</identifier><identifier>DOI: 10.1016/j.aap.2016.10.005</identifier><identifier>PMID: 27744266</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Accidents, Traffic - prevention & control ; Adult ; Drivers ; Female ; Humans ; Life Sciences ; Male ; Middle Aged ; Motivation ; Neurons and Cognition ; Pedestrians ; Planning Techniques ; Psychology and behavior ; Railroad crossing ; Railroads - standards ; Safety Management - methods ; TPB ; Violations ; Young Adult</subject><ispartof>Accident analysis and prevention, 2017-01, Vol.98 (98), p.174-184</ispartof><rights>2016 Elsevier Ltd</rights><rights>Copyright © 2016 Elsevier Ltd. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-5e04baf683cf44b498fc5e00659ed1153ba8f21fba0f1539c2ebf33bb05a094a3</citedby><cites>FETCH-LOGICAL-c415t-5e04baf683cf44b498fc5e00659ed1153ba8f21fba0f1539c2ebf33bb05a094a3</cites><orcidid>0000-0001-8080-1411</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0001457516303669$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27744266$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01440323$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Palat, Blazej</creatorcontrib><creatorcontrib>Paran, Françoise</creatorcontrib><creatorcontrib>Delhomme, Patricia</creatorcontrib><title>Applying an extended theory of planned behavior to predicting violations at automated railroad crossings</title><title>Accident analysis and prevention</title><addtitle>Accid Anal Prev</addtitle><description>•Based on an extended TPB, we predicted pedestrians’ and car drivers’ violations at an automated railroad crossing.•Three chronologically related railroad-crossing situations with varying levels of risk were tested.•Frequency of risky crossing, attitude, and subjective norms were the main predictors of violations.•In the most dangerous situations, violations were the least likely and the most unpredictable for both pedestrians and drivers.
Based on an extended Theory of Planned Behavior (TPB, Ajzen, 1985, 1991), we conducted surveys in order to explain and predict violations at a railroad crossing, among pedestrians (n=153) and car drivers (n=151). Measures were made with respect to three chronologically related railroad crossing situations that varied in risk level. The situations were described in scenarios and depicted on photographs. The participants were recruited in the suburbs of Paris, at two automated railroad crossings with four half-barriers. We found that the pedestrians had stronger crossing intentions than did car drivers, especially at the more congested crossing of the two under study. For both categories of road users, intentions and the amount of intention variance explained by the extended TPB factors decreased significantly with risk level. In the most dangerous situations, risk-taking was the most unlikely and the least predictable Self-reported past frequency of crossing against safety warning devices was the main predictor of the intention to commit this violation again, especially among males, followed by the attitude and the injunctive norm in favor the violation. Moreover, car drivers were influenced in their crossing intentions by the descriptive norm. The presence of another vehicle on the tracks when the safety warning devices were activated was perceived not as facilitating, but as an additional risk factor. The discussion addresses the importance of taking into account these determinants of violations in conceiving countermeasures. Our findings could be especially useful for conceiving risk-communication campaigns.</description><subject>Accidents, Traffic - prevention & control</subject><subject>Adult</subject><subject>Drivers</subject><subject>Female</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Motivation</subject><subject>Neurons and Cognition</subject><subject>Pedestrians</subject><subject>Planning Techniques</subject><subject>Psychology and behavior</subject><subject>Railroad crossing</subject><subject>Railroads - standards</subject><subject>Safety Management - methods</subject><subject>TPB</subject><subject>Violations</subject><subject>Young Adult</subject><issn>0001-4575</issn><issn>1879-2057</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU9vEzEQxS1ERUPhA3BBPsJhU3tt7x9xiiqgSJG4tGdr7B0TR5v1YjtR8-3xktIjJ3uefvOkeY-QD5ytOePN7X4NMK_r8i3zmjH1iqx41_ZVzVT7mqwYY7ySqlXX5G1K-zK2XavekOu6baWsm2ZFdpt5Hs9--kVhoviUcRpwoHmHIZ5pcHQeYZqKYnAHJx8izYHOEQdv87JUpBGyD1OikCkcczhALngEP8YAA7UxpFTI9I5cORgTvn9-b8jjt68Pd_fV9uf3H3ebbWUlV7lSyKQB13TCOimN7Dtni8Ya1ePAuRIGOldzZ4C5MvW2RuOEMIYpYL0EcUM-X3x3MOo5-gPEsw7g9f1mqxeNcSmZqMWJF_bThZ1j-H3ElPXBJ4tjuRnDMWneCSWlELwuKL-gfw-K6F68OdNLGXqvSxl6KWORShll5-Oz_dEccHjZ-Jd-Ab5cACyBnDxGnazHyZZ4I9qsh-D_Y_8HZmWbGg</recordid><startdate>201701</startdate><enddate>201701</enddate><creator>Palat, Blazej</creator><creator>Paran, Françoise</creator><creator>Delhomme, Patricia</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-8080-1411</orcidid></search><sort><creationdate>201701</creationdate><title>Applying an extended theory of planned behavior to predicting violations at automated railroad crossings</title><author>Palat, Blazej ; Paran, Françoise ; Delhomme, Patricia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-5e04baf683cf44b498fc5e00659ed1153ba8f21fba0f1539c2ebf33bb05a094a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Accidents, Traffic - prevention & control</topic><topic>Adult</topic><topic>Drivers</topic><topic>Female</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Motivation</topic><topic>Neurons and Cognition</topic><topic>Pedestrians</topic><topic>Planning Techniques</topic><topic>Psychology and behavior</topic><topic>Railroad crossing</topic><topic>Railroads - standards</topic><topic>Safety Management - methods</topic><topic>TPB</topic><topic>Violations</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palat, Blazej</creatorcontrib><creatorcontrib>Paran, Françoise</creatorcontrib><creatorcontrib>Delhomme, Patricia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Accident analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Palat, Blazej</au><au>Paran, Françoise</au><au>Delhomme, Patricia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Applying an extended theory of planned behavior to predicting violations at automated railroad crossings</atitle><jtitle>Accident analysis and prevention</jtitle><addtitle>Accid Anal Prev</addtitle><date>2017-01</date><risdate>2017</risdate><volume>98</volume><issue>98</issue><spage>174</spage><epage>184</epage><pages>174-184</pages><issn>0001-4575</issn><eissn>1879-2057</eissn><abstract>•Based on an extended TPB, we predicted pedestrians’ and car drivers’ violations at an automated railroad crossing.•Three chronologically related railroad-crossing situations with varying levels of risk were tested.•Frequency of risky crossing, attitude, and subjective norms were the main predictors of violations.•In the most dangerous situations, violations were the least likely and the most unpredictable for both pedestrians and drivers.
Based on an extended Theory of Planned Behavior (TPB, Ajzen, 1985, 1991), we conducted surveys in order to explain and predict violations at a railroad crossing, among pedestrians (n=153) and car drivers (n=151). Measures were made with respect to three chronologically related railroad crossing situations that varied in risk level. The situations were described in scenarios and depicted on photographs. The participants were recruited in the suburbs of Paris, at two automated railroad crossings with four half-barriers. We found that the pedestrians had stronger crossing intentions than did car drivers, especially at the more congested crossing of the two under study. For both categories of road users, intentions and the amount of intention variance explained by the extended TPB factors decreased significantly with risk level. In the most dangerous situations, risk-taking was the most unlikely and the least predictable Self-reported past frequency of crossing against safety warning devices was the main predictor of the intention to commit this violation again, especially among males, followed by the attitude and the injunctive norm in favor the violation. Moreover, car drivers were influenced in their crossing intentions by the descriptive norm. The presence of another vehicle on the tracks when the safety warning devices were activated was perceived not as facilitating, but as an additional risk factor. The discussion addresses the importance of taking into account these determinants of violations in conceiving countermeasures. Our findings could be especially useful for conceiving risk-communication campaigns.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>27744266</pmid><doi>10.1016/j.aap.2016.10.005</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-8080-1411</orcidid></addata></record> |
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subjects | Accidents, Traffic - prevention & control Adult Drivers Female Humans Life Sciences Male Middle Aged Motivation Neurons and Cognition Pedestrians Planning Techniques Psychology and behavior Railroad crossing Railroads - standards Safety Management - methods TPB Violations Young Adult |
title | Applying an extended theory of planned behavior to predicting violations at automated railroad crossings |
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