Reports Outline Risk Management Findings from Southeast University (Effects of Traffic Enforcement Cameras On Macro-level Traffic Safety: a Spatial Modeling Analysis Considering Interactions With Roadway and Land Use Characteristics)

2020 SEP 25 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A new study on Risk Management is now available. According to news reporting from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “Nowadays, intelligent transportation system (ITS) planning has been often integrated into transportation planning stage. As a component of ITS, traffic enforcement cameras have been found to reduce dangerous behaviors, such as red-light running and speeding.”

Financial support for this research came from National Key R&D Program of China.

The news correspondents obtained a quote from the research from Southeast University, “However, with limited resource, it is important to understand the effects of enforcement cameras on macro-level safety, so that traffic policy-makers can better allocate those resources to improve traffic safety from the planning stage. In this paper, we examined the effects of various traffic enforcement cameras on regional traffic crash risk, considering their interactions with roadway and land use characteristics. The Kunshan city in Suzhou, China was selected in this study and a spatial modeling analysis was applied. According to the modeling results, several conclusions can be drawn: 1. Interaction effects on regional injury/PDO crash risk were found between traffic enforcement cameras and roadway/land use factors; 2. Traffic enforcement cameras were found to be associated with decreased regional crash risk. Among them, red-light running and speeding cameras were associated with the reduction of injury/PDO crash frequency, which can be further enhanced when being installed in certain area (e.g. industrial, commercial, residential land use) and on certain roadways (e.g. major arterials, local roads). Illegal lane changing cameras were associated with the decrease in PDO crash frequency, while such effect on reducing injury crashes was only found as significant on major arterials; 3. The main effects of certain land use and roadway factors appeared to be mediated by traffic enforcement interaction terms. For example, the main effect of industrialized land use was found as insignificant, while the interaction term between industrial area and speeding cameras showed a significant effect of reducing injury/PDO crash frequency. Based on those findings, traffic enforcement cameras, as one of the major components of ITS, need to be carefully considered at the transportation planning stage.”

According to the news reporters, the research concluded: “In general, this study provides valuable information for policy-makers and transportation planners to improve regional traffic safety, by properly allocating traffic enforcement resources.”

For more information on this research see: Effects of Traffic Enforcement Cameras On Macro-level Traffic Safety: a Spatial Modeling Analysis Considering Interactions With Roadway and Land Use Characteristics. Accident Analysis & Prevention, 2020;144():. Accident Analysis & Prevention can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis & Prevention - http://www.journals.elsevier.com/accident-analysis-and-prevention/)

Our news journalists report that additional information may be obtained by contacting Chen Wang, Southeast University, Intelligent Transportat Res Ctr, Nanjing, People’s Republic of China. Additional authors for this research include Pengguang Fan and Chengcheng Xu.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2020.105659. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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