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Predicting the effectiveness of road safety campaigns through alternative research designs
dc.creator | Adamos G., Nathanail E. | en |
dc.date.accessioned | 2023-01-31T07:30:24Z | |
dc.date.available | 2023-01-31T07:30:24Z | |
dc.date.issued | 2016 | |
dc.identifier | 10.1016/j.jsr.2016.10.003 | |
dc.identifier.issn | 00224375 | |
dc.identifier.uri | http://hdl.handle.net/11615/70277 | |
dc.description.abstract | Introduction A large number of road safety communication campaigns have been designed and implemented in the recent years; however their explicit impact on driving behavior and road accident rates has been estimated in a rather low proportion. Method Based on the findings of the evaluation of three road safety communication campaigns addressing the issues of drinking and driving, seat belt usage, and driving fatigue, this paper applies different types of research designs (i.e., experimental, quasi-experimental, and non-experimental designs), when estimating the effectiveness of road safety campaigns, implements a cross-design assessment, and conducts a cross-campaign evaluation. An integrated evaluation plan was developed, taking into account the structure of evaluation questions, the definition of measurable variables, the separation of the target audience into intervention (exposed to the campaign) and control (not exposed to the campaign) groups, the selection of alternative research designs, and the appropriate data collection methods and techniques. Results Evaluating the implementation of different research designs in estimating the effectiveness of road safety campaigns, results showed that the separate pre-post samples design demonstrated better predictability than other designs, especially in data obtained from the intervention group after the realization of the campaign. Conclusions The more constructs that were added to the independent variables, the higher the values of the predictability were. The construct that most affects behavior is intention, whereas the rest of the constructs have a lower impact on behavior. This is particularly significant in the Health Belief Model (HBM). On the other hand, behavioral beliefs, normative beliefs, and descriptive norms, are significant parameters for predicting intention according to the Theory of Planned Behavior (TPB). Practical applications The theoretical and applied implications of alternative research designs and their applicability in the evaluation of road safety campaigns are provided by this study. © 2016 National Safety Council and Elsevier Ltd | en |
dc.language.iso | en | en |
dc.source | Journal of Safety Research | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994311165&doi=10.1016%2fj.jsr.2016.10.003&partnerID=40&md5=1d8746f35af3d3601cce384139e53874 | |
dc.subject | Accident prevention | en |
dc.subject | Design of experiments | en |
dc.subject | Motor transportation | en |
dc.subject | Roads and streets | en |
dc.subject | Statistics | en |
dc.subject | Transportation | en |
dc.subject | Behavioral model | en |
dc.subject | Data collection method | en |
dc.subject | Independent variables | en |
dc.subject | Integrated evaluation | en |
dc.subject | Measurable variables | en |
dc.subject | Research designs | en |
dc.subject | Road safety | en |
dc.subject | Theory of Planned Behavior | en |
dc.subject | Highway planning | en |
dc.subject | behavior | en |
dc.subject | car driving | en |
dc.subject | drunken driving | en |
dc.subject | Greece | en |
dc.subject | information dissemination | en |
dc.subject | Mental Fatigue | en |
dc.subject | prevention and control | en |
dc.subject | safety | en |
dc.subject | seatbelt | en |
dc.subject | statistics and numerical data | en |
dc.subject | utilization | en |
dc.subject | Automobile Driving | en |
dc.subject | Driving Under the Influence | en |
dc.subject | Greece | en |
dc.subject | Information Dissemination | en |
dc.subject | Intention | en |
dc.subject | Mental Fatigue | en |
dc.subject | Safety | en |
dc.subject | Seat Belts | en |
dc.subject | Elsevier Ltd | en |
dc.title | Predicting the effectiveness of road safety campaigns through alternative research designs | en |
dc.type | journalArticle | en |
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