Influence of Multiple Freeway Design Features on Freight Traffic Safety
Since various freeway design features are simultaneously installed on roadways, it is important to assess their combined safety effects correctly. This study investigated associations between multiple roadway cross-section design features on freeways and traffic safety. In order to consider the inte...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2019/5739496 |
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| _version_ | 1849409343973228544 |
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| author | Juneyoung Park Mohamed Abdel-Aty Ling Wang Gunwoo Lee Jungyeol Hong |
| author_facet | Juneyoung Park Mohamed Abdel-Aty Ling Wang Gunwoo Lee Jungyeol Hong |
| author_sort | Juneyoung Park |
| collection | DOAJ |
| description | Since various freeway design features are simultaneously installed on roadways, it is important to assess their combined safety effects correctly. This study investigated associations between multiple roadway cross-section design features on freeways and traffic safety. In order to consider the interaction impact of multiple design features and nonlinearity of predictors concurrently, multivariate adaptive regression splines (MARS) models were developed for all types and freight vehicle crashes. In MARS models, a series of basis functions is applied to represent the space of predictors and the combined safety effectiveness of multiple design features can be interpreted by the interaction terms. The generalized linear regression models (GLMs) with negative binomial (NB) distribution were also evaluated for comparison purposes. The results determine that the MARS models show better model fitness than the NB models due to its strength to reflect the nonlinearity of crash predictors and interaction impacts among variables under different ranges. Various interaction impacts among parameters under different ranges based on knot values were found from the MARS models, whereas two interaction terms were found in the NB models. The results also showed that the combined safety effects of multiple treatments from the NB models over-estimated the real combined safety effects when using the simple multiplication approach suggested by the HSM (Highway Safety Manual). Therefore, it can be recommended that the MARS is applied to evaluate the safety impacts of multiple treatments to consider both the interaction impacts among treatments and nonlinearity issues simultaneously. |
| format | Article |
| id | doaj-art-7568afee02c247d88df25a3537942cea |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-7568afee02c247d88df25a3537942cea2025-08-20T03:35:32ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/57394965739496Influence of Multiple Freeway Design Features on Freight Traffic SafetyJuneyoung Park0Mohamed Abdel-Aty1Ling Wang2Gunwoo Lee3Jungyeol Hong4Department of Transportation and Logistics Engineering, Hanyang University, Ansan, Republic of KoreaDepartment of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, USAThe Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, ChinaDepartment of International Logistics, Chung-Ang University, Seoul, Republic of KoreaDepartment of Transportation Engineering, The University of Seoul, Seoul, Republic of KoreaSince various freeway design features are simultaneously installed on roadways, it is important to assess their combined safety effects correctly. This study investigated associations between multiple roadway cross-section design features on freeways and traffic safety. In order to consider the interaction impact of multiple design features and nonlinearity of predictors concurrently, multivariate adaptive regression splines (MARS) models were developed for all types and freight vehicle crashes. In MARS models, a series of basis functions is applied to represent the space of predictors and the combined safety effectiveness of multiple design features can be interpreted by the interaction terms. The generalized linear regression models (GLMs) with negative binomial (NB) distribution were also evaluated for comparison purposes. The results determine that the MARS models show better model fitness than the NB models due to its strength to reflect the nonlinearity of crash predictors and interaction impacts among variables under different ranges. Various interaction impacts among parameters under different ranges based on knot values were found from the MARS models, whereas two interaction terms were found in the NB models. The results also showed that the combined safety effects of multiple treatments from the NB models over-estimated the real combined safety effects when using the simple multiplication approach suggested by the HSM (Highway Safety Manual). Therefore, it can be recommended that the MARS is applied to evaluate the safety impacts of multiple treatments to consider both the interaction impacts among treatments and nonlinearity issues simultaneously.http://dx.doi.org/10.1155/2019/5739496 |
| spellingShingle | Juneyoung Park Mohamed Abdel-Aty Ling Wang Gunwoo Lee Jungyeol Hong Influence of Multiple Freeway Design Features on Freight Traffic Safety Journal of Advanced Transportation |
| title | Influence of Multiple Freeway Design Features on Freight Traffic Safety |
| title_full | Influence of Multiple Freeway Design Features on Freight Traffic Safety |
| title_fullStr | Influence of Multiple Freeway Design Features on Freight Traffic Safety |
| title_full_unstemmed | Influence of Multiple Freeway Design Features on Freight Traffic Safety |
| title_short | Influence of Multiple Freeway Design Features on Freight Traffic Safety |
| title_sort | influence of multiple freeway design features on freight traffic safety |
| url | http://dx.doi.org/10.1155/2019/5739496 |
| work_keys_str_mv | AT juneyoungpark influenceofmultiplefreewaydesignfeaturesonfreighttrafficsafety AT mohamedabdelaty influenceofmultiplefreewaydesignfeaturesonfreighttrafficsafety AT lingwang influenceofmultiplefreewaydesignfeaturesonfreighttrafficsafety AT gunwoolee influenceofmultiplefreewaydesignfeaturesonfreighttrafficsafety AT jungyeolhong influenceofmultiplefreewaydesignfeaturesonfreighttrafficsafety |