Modeling and Analyzing the Factors Affecting the Mortality of Pedestrians in Urban Accidents
The nature of urban and rural accidents has been different from each other in some of the factors and even the severity of damage rate, mayhem, and death. In this research, using statistical methods and binary logistic regression model, we have addressed to analyze important parameters such as age,...
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| Veröffentlicht in: | Mathematical modelling in civil engineering 2018-12, Vol.14 (4), p.10-21 |
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| creator | Tortum, Ahmet Motamadnia, Alireza |
| description | The nature of urban and rural accidents has been different from each other in some of the factors and even the severity of damage rate, mayhem, and death. In this research, using statistical methods and binary logistic regression model, we have addressed to analyze important parameters such as age, gender, education level, the color of the pedestrian dress, season of accident, time of accident, the speed of the vehicle colliding with pedestrians and road surface conditions at the time of accident on the way of death (at the scene of the incident or in the hospital) pedestrians who have been traumatized. After the creation of the binary logistic regression model, it was determined that only the parameters of speed and the accident time have been significant in the level less than 5%. And other parameters such as age, gender, the season of accident occurrence, the color of the pedestrian dress, road surface conditions and education level had no significant effect in terms of statistical on the incidence of mortality arising from a pedestrian accident with the motor vehicle. The results revealed that by adopting decisions related to the traffic calming, attention to passages lighting and brightness the mortality rate of a pedestrian due to the urban accidents can be reduced. |
| doi_str_mv | 10.2478/mmce-2018-0010 |
| format | Article |
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In this research, using statistical methods and binary logistic regression model, we have addressed to analyze important parameters such as age, gender, education level, the color of the pedestrian dress, season of accident, time of accident, the speed of the vehicle colliding with pedestrians and road surface conditions at the time of accident on the way of death (at the scene of the incident or in the hospital) pedestrians who have been traumatized. After the creation of the binary logistic regression model, it was determined that only the parameters of speed and the accident time have been significant in the level less than 5%. And other parameters such as age, gender, the season of accident occurrence, the color of the pedestrian dress, road surface conditions and education level had no significant effect in terms of statistical on the incidence of mortality arising from a pedestrian accident with the motor vehicle. The results revealed that by adopting decisions related to the traffic calming, attention to passages lighting and brightness the mortality rate of a pedestrian due to the urban accidents can be reduced.</description><identifier>ISSN: 2066-6934</identifier><identifier>EISSN: 2066-6934</identifier><identifier>EISSN: 2784-1391</identifier><identifier>DOI: 10.2478/mmce-2018-0010</identifier><language>eng</language><publisher>Bucharest: Sciendo</publisher><subject>accident ; Accidents ; Color ; Education ; Mortality ; Motor vehicles ; Parameters ; pedestrian ; Pedestrians ; Regression analysis ; Regression models ; speed ; Statistical analysis ; Statistical methods ; Traffic accidents & safety ; Traffic calming ; Traffic speed ; Urban areas ; urbanization</subject><ispartof>Mathematical modelling in civil engineering, 2018-12, Vol.14 (4), p.10-21</ispartof><rights>Copyright Technical University of Civil Engineering from Bucharest 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1640-263bea6027526d1f1c33d768264fcce2f86a25d6113782b187e138dacbf9b2ae3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2387309690?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,860,14537,14566,21407,21411,27901,27902,33430,33722,34312,36243,43592,43781,44049,44380</link.rule.ids></links><search><creatorcontrib>Tortum, Ahmet</creatorcontrib><creatorcontrib>Motamadnia, Alireza</creatorcontrib><title>Modeling and Analyzing the Factors Affecting the Mortality of Pedestrians in Urban Accidents</title><title>Mathematical modelling in civil engineering</title><description>The nature of urban and rural accidents has been different from each other in some of the factors and even the severity of damage rate, mayhem, and death. In this research, using statistical methods and binary logistic regression model, we have addressed to analyze important parameters such as age, gender, education level, the color of the pedestrian dress, season of accident, time of accident, the speed of the vehicle colliding with pedestrians and road surface conditions at the time of accident on the way of death (at the scene of the incident or in the hospital) pedestrians who have been traumatized. After the creation of the binary logistic regression model, it was determined that only the parameters of speed and the accident time have been significant in the level less than 5%. And other parameters such as age, gender, the season of accident occurrence, the color of the pedestrian dress, road surface conditions and education level had no significant effect in terms of statistical on the incidence of mortality arising from a pedestrian accident with the motor vehicle. The results revealed that by adopting decisions related to the traffic calming, attention to passages lighting and brightness the mortality rate of a pedestrian due to the urban accidents can be reduced.</description><subject>accident</subject><subject>Accidents</subject><subject>Color</subject><subject>Education</subject><subject>Mortality</subject><subject>Motor vehicles</subject><subject>Parameters</subject><subject>pedestrian</subject><subject>Pedestrians</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>speed</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Traffic accidents & safety</subject><subject>Traffic calming</subject><subject>Traffic speed</subject><subject>Urban areas</subject><subject>urbanization</subject><issn>2066-6934</issn><issn>2066-6934</issn><issn>2784-1391</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kM1Lw0AQxRdRsNRePe_RS-p-pJsET6FYFVr0YG_CstmdrSnJpu5ukfjXm1AFL85l3gzvDcMPoWtK5izN8tu21ZAwQvOEEErO0IQRIRJR8PT8j75EsxD2ZLDwlA81QW-bzkBTux1WzuDSqab_Gqf4DnildOx8wKW1oOPvdtP5qJo69riz-AUMhOhr5QKuHd76Sjlcal0bcDFcoQurmgCznz5F29X96_IxWT8_PC3LdaKpSEnCBK9ACcKyBROGWqo5N5nImUit1sBsLhRbGEEpz3JW0TwDynOjdGWLiingU3Rzunvw3cdxeEi2ddDQNMpBdwyS8TzjpBAFGazzk1X7LgQPVh583SrfS0rkSFKOJOVIUo4kh8DdKfCpmgjewM4f-0HIfXf0A67wT5Cm6ZD-BhI1ej4</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Tortum, Ahmet</creator><creator>Motamadnia, Alireza</creator><general>Sciendo</general><general>Technical University of Civil Engineering from Bucharest</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PADUT</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20181201</creationdate><title>Modeling and Analyzing the Factors Affecting the Mortality of Pedestrians in Urban Accidents</title><author>Tortum, Ahmet ; Motamadnia, Alireza</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1640-263bea6027526d1f1c33d768264fcce2f86a25d6113782b187e138dacbf9b2ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>accident</topic><topic>Accidents</topic><topic>Color</topic><topic>Education</topic><topic>Mortality</topic><topic>Motor vehicles</topic><topic>Parameters</topic><topic>pedestrian</topic><topic>Pedestrians</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>speed</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Traffic accidents & safety</topic><topic>Traffic calming</topic><topic>Traffic speed</topic><topic>Urban areas</topic><topic>urbanization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tortum, Ahmet</creatorcontrib><creatorcontrib>Motamadnia, Alireza</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Research Library</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Research Library China</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Mathematical modelling in civil engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tortum, Ahmet</au><au>Motamadnia, Alireza</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling and Analyzing the Factors Affecting the Mortality of Pedestrians in Urban Accidents</atitle><jtitle>Mathematical modelling in civil engineering</jtitle><date>2018-12-01</date><risdate>2018</risdate><volume>14</volume><issue>4</issue><spage>10</spage><epage>21</epage><pages>10-21</pages><issn>2066-6934</issn><eissn>2066-6934</eissn><eissn>2784-1391</eissn><abstract>The nature of urban and rural accidents has been different from each other in some of the factors and even the severity of damage rate, mayhem, and death. In this research, using statistical methods and binary logistic regression model, we have addressed to analyze important parameters such as age, gender, education level, the color of the pedestrian dress, season of accident, time of accident, the speed of the vehicle colliding with pedestrians and road surface conditions at the time of accident on the way of death (at the scene of the incident or in the hospital) pedestrians who have been traumatized. After the creation of the binary logistic regression model, it was determined that only the parameters of speed and the accident time have been significant in the level less than 5%. And other parameters such as age, gender, the season of accident occurrence, the color of the pedestrian dress, road surface conditions and education level had no significant effect in terms of statistical on the incidence of mortality arising from a pedestrian accident with the motor vehicle. The results revealed that by adopting decisions related to the traffic calming, attention to passages lighting and brightness the mortality rate of a pedestrian due to the urban accidents can be reduced.</abstract><cop>Bucharest</cop><pub>Sciendo</pub><doi>10.2478/mmce-2018-0010</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | accident Accidents Color Education Mortality Motor vehicles Parameters pedestrian Pedestrians Regression analysis Regression models speed Statistical analysis Statistical methods Traffic accidents & safety Traffic calming Traffic speed Urban areas urbanization |
| title | Modeling and Analyzing the Factors Affecting the Mortality of Pedestrians in Urban Accidents |
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