Frontiers in public health · 2026
A scalable model for child road safety in low- and middle-income countries: evidence and lessons from the 'slow zones, safe zones' intervention in Vietnam.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Pham Cuong, Nguyen Le, Bui Hong, Sidik Mirjam, Le Phong, Ariobowo Atsani
Аннотация
INTRODUCTION: Road traffic injuries are a leading cause of child mortality in Vietnam, where rapid motorization and the absence of standardized safe school zones create high-risk environments for students. This paper evaluates the "Slow Zones, Safe Zones" (SZSZ) project, a comprehensive, multi-year intervention in Pleiku City designed to reduce road crash injuries and fatalities by making school zones safer.
METHODS: The project employed a phased design, beginning with a quasi-experimental pilot study (2018-2020) and expanding to a city-wide, pre-post evaluation (2020-2022). The multi-pronged strategy combined infrastructure upgrades, education and public awareness campaigns, speed limit establishment and enforcement, and policy development. Project effectiveness was evaluated using evidence-based tools, including iRAP Star Rating for Schools (SR4S) assessments, vehicle speed surveys, and student crash and community KAP (Knowledge, Attitude, Practice) surveys.
RESULTS: The intervention yielded statistically significant improvements across all key indicators. iRAP Star Ratings for school zones dramatically improved from as low as 1-star to 4- and 5-star ratings post-intervention. Mean vehicle speeds were reduced by up to 28.9%. The proportion of student crashes occurring within school zones plummeted from 35.6% at baseline to 2.9% at the project's end. Parental knowledge of correct speed limits increased substantially from 15.6 to 93.2% (p < 0.001). The project also catalyzed a legal decision by city authorities formally adopting a "Safe School Zone definition".
DISCUSSION: The SZSZ project was highly effective, demonstrating that a comprehensive, evidence-based approach can significantly mitigate road risks for children in an LMIC context. Its success in translating local data into official policy provides a powerful, scalable framework for national reform. This model holds significant potential for replication in other low- and middle-income countries, offering a clear pathway to improve child road safety and help achieve the global targets of SDG 3.6.
METHODS: The project employed a phased design, beginning with a quasi-experimental pilot study (2018-2020) and expanding to a city-wide, pre-post evaluation (2020-2022). The multi-pronged strategy combined infrastructure upgrades, education and public awareness campaigns, speed limit establishment and enforcement, and policy development. Project effectiveness was evaluated using evidence-based tools, including iRAP Star Rating for Schools (SR4S) assessments, vehicle speed surveys, and student crash and community KAP (Knowledge, Attitude, Practice) surveys.
RESULTS: The intervention yielded statistically significant improvements across all key indicators. iRAP Star Ratings for school zones dramatically improved from as low as 1-star to 4- and 5-star ratings post-intervention. Mean vehicle speeds were reduced by up to 28.9%. The proportion of student crashes occurring within school zones plummeted from 35.6% at baseline to 2.9% at the project's end. Parental knowledge of correct speed limits increased substantially from 15.6 to 93.2% (p < 0.001). The project also catalyzed a legal decision by city authorities formally adopting a "Safe School Zone definition".
DISCUSSION: The SZSZ project was highly effective, demonstrating that a comprehensive, evidence-based approach can significantly mitigate road risks for children in an LMIC context. Its success in translating local data into official policy provides a powerful, scalable framework for national reform. This model holds significant potential for replication in other low- and middle-income countries, offering a clear pathway to improve child road safety and help achieve the global targets of SDG 3.6.