Submitted:
15 September 2026
Posted:
16 September 2026
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Abstract
Road traffic injuries remain a leading cause of preventable death and disability worldwide, with disproportionate impacts on vulnerable and underserved populations. While transportation safety efforts have traditionally focused on engineering countermeasures and behavioral modification, persistent inequities in crash risk and injury outcomes indicate the need for a broader systems-based approach. This discursive paper applies the National Institute on Minority Health and Health Disparities (NIMHD) Research Framework to conceptualize road traffic safety across multiple domains, i.e., biological, behavioral, physical/built environment, sociocultural environment, and health care system, and levels of influence including individual, interpersonal, community, and societal factors. By integrating transportation engineering strategies such as Safe System design, roadway countermeasures, and vehicle technologies with public health perspectives on injury prevention and health equity, the paper illustrates how structural conditions shape crash occurrence, injury severity, and post-crash outcomes. The proposed multilevel and multisectoral framework emphasizes cross-sector collaboration among engineers, public health professionals, policymakers, and community stakeholders to reduce preventable injury and advance equity. This integrated model offers a conceptual foundation for future empirical research, policy development, and implementation strategies aimed at achieving population-level improvements in road safety.
Keywords:
road traffic safety
; NIMHD framework
; health equity
; safe system approach
; transportation engineering
; injury prevention
; multisectoral collaboration
; crash severity
1. Introduction
Transportation constitutes a foundational component of the built environment and plays a central role in shaping human development and societal functioning. It influences patterns of birth, residence, mobility, economic participation, social interaction, access to essential services, and aging. As such, transportation systems are not merely conduits for movement, but structural determinants of opportunity, health, equity, and overall quality of life. Specifically, transportation highway systems provide efficient and safe movement of people and goods (i.e., industrial and retail supply chains) as evidenced during the Covid-19 pandemic [1,2]. The popularity and expansion of highway transportation modes [1,2], however, have a negative impact on humankind such as traffic crashes, massive petroleum consumption, major contribution to greenhouse emissions, nitrous oxide (NOx) emissions, volatile organic compound (VOC) emissions, carbon monoxide (CO) emissions, fine particulate matter (2.5 microns or smaller, PM2.5) emissions, etc. [1]. By far, the most critical impact of transportation systems are traffic crashes [2], most of which are preventable [3,4]. These crashes cause fatalities and injuries to road users, property damages, societal economic losses, and agony to crash victims and their family members/caregivers. The most affected groups are children and young people worldwide [5]. As a result, road injuries are considered a complex public health transportation issue [4] that requires multifaceted and multidisciplinary solutions. This discursive paper advances a multilevel and multisectoral theoretical approach for conceptualizing roadway transportation as a structural social determinant that intersects the field of transportation safety engineering and public health, shedding light to potential assessment and evaluation targets to guide future equity-driven roadway injury prevention strategies.
2. Highway Traffic Safety as a Public Health Issue
Road traffic crashes are a significant public health concern. By definition, road traffic safety are the methods and measures used to prevent road users from being killed or seriously injured [6]. By road users we mean a group of people who use the roadway that comprises pedestrians, bicyclists, motorcyclists, motor vehicle drivers, and passengers. This phenomenon of road traffic crashes is not new; it has been recognized as a public health issue since the early 1960s [7]. The sentiment has been echoed by many safety researchers and experts (e.g., [8,9,10,11,12]). In early 1970s Sue Baker [13] emphasized the foundational role of public health in this area, referring to it as “the mother of injury prevention,” underscoring the discipline’s central responsibility in advancing prevention science and population-level safety strategies. The American Public Health Association (APHA) defines public health as a promotion and protection of health of all people and their communities and APHA further mentions that “public health improves our quality of life, helps children thrive, reduces human suffering and saves money” [14]. In addition, Sleet et al. [4] assert that public health is the science and practice of protecting and improving the health of populations. In the context of transportation and health, public health advocates for the implementation of healthy transportation policies and evidence-informed strategies that prevent harm, including roadway crashes and related injuries [14].
Worldwide, approximately 1.19 million people die each year due to road traffic crashes, and an estimated 20–50 million more sustain nonfatal injuries, many resulting in long-term disability [15]. In the United States, the Center for Disease Control (CDC) [12] reports that approximately 44,000 individuals were killed in motor vehicle crashes in 2022, and an additional 2.6 million were treated in emergency departments for crash-related injuries during the same year. In terms of economics, road traffic crashes cost most countries in the world about 3% of their gross domestic product (GDP) [15], In the United States, it is estimated that crash-related deaths cost the country in excess of $470 billion annually [12]. These numbers represent substantial losses in terms of manpower and economic productivity both at the global and national levels. The magnitude of these preventable harms underscores the urgent need for coordinated action, as such losses are neither sustainable nor acceptable given the availability of evidence-based prevention strategies. Any proposed prevention strategy should leverage the critical and multilayered connection between road traffic safety and public health, a relationship that warrants careful multilevel and multisectoral examination. This discursive paper demonstrates how the fields of traffic engineering and public health relate to each other in improving transportation-related population health outcomes. The discussion sheds light to the need for a multilevel and multisectoral perspective in traffic safety initiatives.
3. Methods
This paper adopted a discursive, theory-informed approach to conceptualize the intersection of road traffic safety and public health within transportation engineering. The objective was to provide a comprehensive synthesis of existing literature and to formulate an integrated, multisectoral, and multilevel framework for traffic safety. Literature was sourced from electronic databases including PubMed, Scopus, Web of Science, and Google Scholar. The search focused on publications from 2000 to 2025. Keywords included “traffic safety,” “public health,” “transportation engineering,” “social determinants of health,” “road injury prevention,” “urban planning and safety,” and “traffic crash epidemiology.” Articles included English language sources from peer-reviewed journal articles, government or institutional reports, and policy papers. Focus was on documents addressing traffic safety from a public health or interdisciplinary perspective. Emphasis was on studies contributing to understanding social, environmental, behavioral, and infrastructural factors. The studies were categorized based on thematic relevance to individual, community, organizational, policy, or global levels of intervention.
Additionally, The National Institute on Minority Health and Health Disparities (NIMHD) framework [16], was used as a guide to organize potential determinants across five domains namely, (1) Biological, (2) Behavioral, (3) Physical/Built Environment, (4) Sociocultural Environment, and (5) Health Care System, and four levels of influence: (1) Individual, (2) Interpersonal, (3) Community, and (4) Societal. Through this structured synthesis, multilevel and multisectoral assessment and prevention targets were identified to inform equity-driven roadway injury prevention strategies.
4. Findings
4.1. Thematic Perspectives Relating Public Health to Transportation Safety
The following seven thematic perspectives that relate public health to transportation safety emerged from the literature:
Epidemiological Perspective: The incidence of road traffic crashes contributes significantly to the global burden of disease and injury [4,17] as discussed above. From a public health perspective, understanding the epidemiology of traffic-related injuries is paramount. Experts analyze factors such as age, gender, socioeconomic status (SES), and geographic location in order to provide valuable understandings into vulnerable populations and risk factors with the aim to reduce these crashes from happening or reducing their severity impacts [4,18].
Preventive Measures: Traffic safety interventions serve as primary prevention strategies to mitigate the impact of road crashes on public health. Initiatives such as seat belt usage [8,19,20,21,22], child safety seats 8,23], helmet mandates [8,24], airbag installation 8,21,25,26], and stringent traffic regulations [27,28] play a pivotal role in reducing the severity and frequency of injuries. Public health campaigns can further enhance awareness and compliance with these measures [8,29].
Urban Planning and Infrastructure: The design and maintenance of transportation infrastructure have a direct bearing on public health outcomes [30,31]. Well-planned road systems, pedestrian-friendly pathways, and efficient public transportation contribute to safer environments and reduced crash rates [32]. Conversely, inadequate infrastructure can pose substantial risks to public safety.
Behavioral Aspects: Public health research also explores the behavioral aspects of road users. Understanding the psychology behind risky driving behaviors [33,34], distraction, and impaired driving [33,35,36] enables the development of targeted interventions [33,34]. Risky driving, besides driving under the influence or speeding, might also include anxiety driving, sensation-seeking, normlessness driving, altruism driving and aggressive driving [34]. Behavioral change campaigns [37,38,39], educational programs [40,41,42], and technological innovations can influence attitudes and practices, fostering a culture of responsible road use.
Socioeconomic Impacts: Traffic crashes can have profound socioeconomic implications, affecting individuals, families, and communities [10,11]. The economic burden of medical care, rehabilitation, and lost productivity underscores the need for a comprehensive public health approach. More than 90% of road traffic deaths occur in low- and middle-income countries and the traffic death rates are highest in most African countries and lowest in most European countries [15,43,44]. Even within high-income countries, people from lower socioeconomic backgrounds are more likely to be involved in road traffic crashes [11]. Strategies that address both the immediate health consequences and long-term socioeconomic repercussions are essential.
Global Disparities: Disparities in traffic safety outcomes exist on a global scale, with low- and middle-income countries often experiencing higher rates of road traffic injuries and fatalities [9,11]. According to Ameratunga et al. [9], it is commonly surprising that most of the road safety interventions are not designed primarily to protect vulnerable road users (VRUs), i.e., pedestrians, bicyclists, and motorcyclists. It is globally known that these groups of VRUs make up the majority of road-traffic casualties especially in low-income and middle-income countries, which also face health service, economic, and societal challenges [9]. Bridging the disparity gaps within countries and globally requires targeted international collaboration, resource allocation, and the transfer of best practices to ensure equitable public health outcomes in terms of improved road safety worldwide.
Technological Advancements: Technological innovations, such as advanced driver-assistance systems (ADAS) and autonomous vehicles (AVs), hold promise in improving traffic safety [45,46,47]. Traffic safety and public health professionals must actively engage with these developments to harness their potential benefits while addressing emerging challenges related to data privacy, cybersecurity, and the equitable distribution of technological advancements [47,48].
4.2. Conceptual Model of Roadway Transportation within the NIMHD Framework
Utilizing findings from the thematic analysis, a conceptual map of roadway transportation within the NIMHD multidimensional framework revealed multilevel determinants that operate across biological, behavioral, physical/built environment, sociocultural, and health care system domains (see Table 1). The framework illustrates how multilevel and multidomain determinants converge to shape transportation-related injury risks, highlighting the need for integrated, multisectoral approaches to improving transportation safety and advancing public health equity.
4.2.1. Individual-Level Determinants
Reliable transportation is essential for accessing job opportunities, commuting to work, and participating in workforce training programs. Limited transportation options can contribute to unemployment, underemployment, and economic instability, affecting individuals’ financial resources and access to healthcare. Factors that influence the individual level include personal driving behaviors or habits (e.g., speed control, seat belt use, distraction-free driving); physical and cognitive abilities (e.g., reaction time, vision, impairment due to alcohol/drugs); and knowledge, awareness, and adherence to traffic laws and safety measures (e.g., seatbelt use, helmet use). At the individual level, the biological domain is most visible through injury morbidity and mortality outcomes resulting from road traffic crashes. Traumatic injuries, disability, and long-term rehabilitation needs alter individual health trajectories and may permanently shift family roles and caregiving responsibilities as they manage post-crash symptoms. Moreover, injury-related disability can reduce income-earning capacity, increase dependency, and impose sustained psychosocial and economic stress on individual and family systems. Likewise, within the behavioral domain, individual-level risk factors including speeding, impaired driving, distracted driving, and seatbelt nonuse are shaped not only by personal decision-making but also by learned norms and modeled behaviors. Risk perception, sensation-seeking tendencies, and adherence to safety practices are influenced by early socialization processes within families. Youth, in particular, internalize traffic safety norms through observation of caregivers and peers, reinforcing the intergenerational transmission of safety behaviors or risk patterns.
Examples of multisectoral leverage points of prevention within public health and transportation engineering include synergies such as driver education, DUI prevention, and screenings for vision or cognitive impairments. These prevention targets are tailored towards improving behavioral intervention and health systems targets.
4.2.2. Interpersonal-Level Determinants
Transportation access plays a critical role in shaping health care utilization, school attendance, employment stability, and engagement with community resources. Reliable transportation enables individuals and families to attend medical appointments, obtain preventive services, and seek timely emergency care. When transportation is limited or unreliable, missed appointments, delayed treatment, and unmet health needs become more common particularly in rural and underserved communities where services may already be scarce.
Transportation barriers also have important social and mental health implications. Limited mobility can contribute to social isolation and loneliness, especially among older adults, individuals with disabilities, and those living in geographically remote areas. Reduced access to social networks, community engagement, and supportive relationships can negatively affect mental health and overall well-being. At the same time, social support systems influence roadway safety. Strong interpersonal networks can promote traffic safety by modeling responsible driving behaviors, reinforcing positive safety norms, providing assistance during emergencies, and discouraging risk-taking behaviors such as speeding or texting while driving.
Thus, at the interpersonal-level emphasis is on the relational context in which roadway safety behaviors are shaped and reinforced. Interpersonal determinants include the influence of family members, peers, and broader social norms on driving practices. Families, friends, peers and significant others function as primary agents of socialization, transmitting values related to seatbelt use, speed regulation, alcohol use, and pedestrian practices. Within the sociocultural environment domain, family beliefs, cultural norms, and collective attitudes toward traffic laws, enforcement, and safety practices shape compliance behaviors. Examples include carpooling behaviors and shared safety practices; parental monitoring and guidance for adolescent drivers (e.g., adherence to graduated licensing programs); and peer pressure that may either encourage compliance with or disregard for traffic regulations. Importantly, limited access to safe and reliable transportation disproportionately affects families in under-resourced communities, further exacerbating health and safety inequities.
Taken together, the individual and interpersonal levels reveal that roadway transportation safety is embedded within family and significant others systems. Injury events reverberate across relational networks, influencing caregiving roles, economic stability, psychosocial well-being, and long-term health outcomes. For instance, in the health care system domain, post-crash care coordination, rehabilitation access, and caregiver support services influence not only individual recovery but also family and significant caregivers’ adaptation. When trauma systems are fragmented or geographically inaccessible, families and their significant others experience compounded stressors that extend beyond the immediate injury event. Examples of multisectoral leverage points of prevention within public health and transportation engineering include community-based safety programs, peer-led awareness initiatives, driver mentorship programs, etc. These prevention targets are tailored towards improving behavioral intervention and family-level support targets. A family-centered prevention approach therefore requires interventions that address both individual risk behaviors and the relational environments in which those behaviors are learned, modeled, and sustained.
4.2.3. Community-Level Determinants
The conceptual map reveals community-level determinants as a critical nexus where structural conditions, environmental design, and sociocultural patterns converge to influence roadway injury risk and health disparities. For example, at the community level, transportation safety determinants include factors such as presence of well-maintained roads, proper signage, and lighting; availability of pedestrian and cyclist infrastructure (sidewalks, crosswalks, bike lanes); local traffic enforcement and policing efforts that affect overall safety. Within the physical/built environment domain, roadway infrastructure design including traffic density, pedestrian crossings, sidewalk availability, lighting, road maintenance, traffic calming measures, and proximity to high-speed corridors directly shapes exposure to crash risk. Communities characterized by underinvestment in infrastructure often experience higher pedestrian injury rates, limited safe mobility options, and reduced access to employment, education, and health services. Public transportation availability further influences mobility equity and access to preventive and acute health care. In the sociocultural environment domain, neighborhood-level economic disadvantage, residential segregation, and concentrated poverty shape patterns of roadway exposure and safety enforcement. Communities with fewer political and financial resources may experience delayed infrastructure improvements and inconsistent traffic law enforcement, contributing to differential risk environments. Normative beliefs regarding traffic behaviors and risk perception may also cluster geographically, influencing collective driving practices. The natural environment also plays a major role. Environmental conditions further influence traffic safety, particularly when engineering controls are inadequate. Adverse weather conditions including rain, snow, ice, and fog can increase crash risk by reducing visibility and road traction. In addition, poor air quality associated with traffic congestion may compound health risks by exacerbating respiratory and cardiovascular conditions, particularly in vulnerable populations.
Within the behavioral domain, community design affects physical activity patterns and transportation behaviors. Car-dependent environments may limit active transportation options, while unsafe pedestrian environments discourage walking and cycling, indirectly contributing to chronic disease risk. From a health care system domain perspective, geographic proximity to trauma centers, emergency response times, and availability of rehabilitation services influence post-crash outcomes and long-term disability trajectories.
Examples of multisectoral leverage points of prevention within public health and transportation engineering include local health initiatives that target community-level awareness campaigns on safe driving practices such as safer school zones, community engagement in road safety, etc. These preventions targets are tailored towards improving infrastructure and behavioral interventions.
4.2.4. Societal-Level Determinants
Mapping roadway transportation within the societal level of the NIMHD framework reveals that crash incidences and injury severity are not randomly distributed events, but are structured by macro-level policies, institutional priorities, and historically embedded inequities. At this level, roadway safety reflects the cumulative impact of transportation governance, urban planning, economic policy, and regulatory enforcement systems.
The societal-level transportation safety aspects include national and state laws and policies on transportation infrastructure (roadway design and transportation infrastructure) investments, driving impaired (DUI) laws, speed limits, vehicle safety regulations), and public health strategies. Although the biological domain manifests at the individual level, societal conditions determine population-level exposure patterns and differential mortality rates. Thus, roadway injury disparities reflect upstream structural determinants rather than isolated events. Within the physical/built environment domain, large-scale transportation infrastructure decisions including highway placement, zoning policies, funding allocations, and public transit investment shape patterns of exposure to roadway risk. Historically, infrastructure development has disproportionately concentrated high-speed corridors and traffic-dense routes within low-income and racially marginalized communities. Such structural decisions increase pedestrian vulnerability, limit safe mobility options, and contribute to unequal injury burden. Together, infrastructure design and environmental factors underscore the importance of integrating engineering, environmental planning, and public health strategies in roadway safety prevention efforts.
In the sociocultural environment domain, structural racism, residential segregation, and inequitable resource distribution influence where safety investments are prioritized. Policy enforcement disparities including variations in traffic law enforcement intensity may simultaneously expose some communities to higher crash risk while subjecting others to disproportionate legal consequences. These structural patterns shape collective risk environments beyond individual behaviors. Within the behavioral domain, societal messaging, media portrayals, and regulatory culture influence national norms regarding speed, alcohol use, and vehicular risk tolerance. When safety policies are inconsistently enforced or underfunded, they may inadvertently normalize preventable risk behaviors. The health care system domain at the societal level encompasses trauma system funding, regionalization of emergency services, insurance coverage policies, and long-term disability support structures. Gaps in trauma access, rehabilitation services, and post-injury care financing exacerbate disparities in recovery outcomes and economic stability. Collectively, the societal level underscores that roadway transportation safety is fundamentally a policy-driven and structurally patterned determinant of health. Effective prevention therefore requires multisectoral governance strategies that integrate transportation planning, public health policy, urban development, and equity-focused investment. Structural reform, rather than solely behavioral modification, is essential to reducing preventable injuries and advancing population health equity.
Examples of multisectoral leverage points of prevention within public health and transportation engineering include initiatives that target road safety and address transportation-related injuries and environmental concerns (e.g., vision zero programs, air pollution from traffic, etc.), and impact of technological advancements (e.g., self-driving cars, traffic management systems, etc.). Structural forces such as federal design standards, policy enforcement, and national injury surveillance systems influence population-level injury risks. These prevention targets are tailored towards improving policy and infrastructure targets.
5. Discussion
The present work supports the importance of transportation and health, which are deeply interconnected, requiring a multisectoral and multilevel approach to ensure safer roads, vehicles and all road users. These findings underscore that roadway safety is not merely an issue of individual compliance, but rather a structural determinant embedded within policy, infrastructure, and institutional systems. This perspective is consistent with Safe System principles that recognize human error as inevitable and require the transportation system to be designed to absorb that error without resulting in death or serious injury [11,49]. Aligning transportation engineering with public health frameworks therefore provides a more comprehensive basis for intervention than approaches focused solely on driver behavior or vehicle technology.
As highlighted in the individual-level, biological vulnerability and behavioral choices remain critical proximal determinants of crash outcomes. Prior studies have shown that age-related frailty, visual impairment, and chronic health conditions significantly increase the probability of severe injury even in moderate-speed collisions [50]. Behavioral risks including speeding, alcohol and drug impairment, and distraction continue to account for a large proportion of fatal crashes globally [51,52]. However, the proposed framework presented in this paper emphasizes that these factors operate within broader environmental and social contexts, echoing the foundational public health insight that behavior is shaped by opportunity structures rather than individual choice alone [53].
Furthermore, the physical/built environment as one of the most powerful leverage points for injury prevention, a finding strongly supported by the literature. Engineering treatments such as median barriers, roundabouts, access management, traffic calming, and improved lighting have repeatedly demonstrated substantial reductions in fatal and serious crashes independent of enforcement or education campaigns [54,55]. Similarly, modern vehicle technologies including ADAS, automatic emergency braking, and lane-keeping assistance modify crash trajectories and mitigate impact energy [56]. Yet, as reflected in the model, the effectiveness of these technologies is conditioned by roadway design, pavement condition, signage quality, and geometric consistency. This underscores the need for co-evolution of vehicle innovation and infrastructure standards rather than siloed development.
The sociocultural domain draws attention to determinants that are often absent from transportation engineering discourse. Community norms regarding seat-belt use, pedestrian priority, and speed tolerance influence exposure and risk at the population level [57]. Moreover, historical patterns of land use and infrastructure investment have concentrated high-speed corridors and inadequate pedestrian facilities in marginalized communities, producing disproportionate injury burdens [58,59]. These observations reinforce the argument that road safety policy must explicitly address equity, not only aggregate crash reduction. For vehicle researchers, this means evaluating how new technologies perform across diverse social and geographic contexts.
Consistent with the health-care systems, post-crash survivability depends on factors beyond the crash event itself. Access to timely emergency medical services, trauma center proximity, and rehabilitation resources significantly shape outcomes following severe collisions [60]. Rural regions experience higher fatality rates partly due to longer response times and limited trauma infrastructure [61]. These findings suggest that transportation agencies and vehicle manufacturers should consider integrating EMS accessibility and post-crash care metrics into safety performance assessments, particularly when evaluating automated crash notification and in-vehicle emergency call (eCall) systems.
Another example of cooperation between transportation and health includes mitigating transportation barriers for people with chronic illnesses [62,63]. Or mitigating competency barriers in screening and assessing for fitness to drive among older drivers by health professionals [64]. This relationship involves collaborations across different sectors including health, urban planning, law enforcement, and engineering embedded in the traditional aspect of the four E’s of traffic safety (Education, Enforcement, Engineering, and Emergency) at various levels of society, from individuals to policymakers.
5.1. Conceptual Limitations
While this discursive analysis advances a relational framing of transportation engineering and public health, several conceptual limitations warrant consideration. First, the analysis is conceptual rather than empirical; the relationships illustrated are derived from synthesis of existing literature rather than from statistical modeling of linked transportation and health datasets. Consequently, the strength and directionality of cross-domain interactions remain to be validated through quantitative studies [50,51].
Second, while the framework incorporates major determinants from transportation engineering and public health, it does not explicitly model crash mechanics, vehicle structural performance, or kinetic energy transfer processes that are central to injury biomechanics [54,55,56]. Future research should integrate these engineering-specific variables with the NIMHD domains to better capture how vehicle design features interact with roadway geometry and human vulnerability.
Third, data availability poses a significant constraint. Sociocultural and health-care system determinants highlighted in the model are often absent from conventional traffic databases, limiting the ability to operationalize the full model [58,60]. Linkage of police crash records with hospital, EMS, and community-level datasets will be necessary to test the hypothesized pathways. Finally, emerging technologies such as connected and automated vehicles, eCall systems, and micromobility devices were not explicitly modeled. These innovations may alter exposure patterns and post-crash response in ways not captured by current literature [65]. Ongoing revision of the framework will therefore be required as the mobility ecosystem evolves. Despite these constraints, the proposed framework offers important implications for multisectoral research collaboration and practice.
5.2. Implications for Multisectoral Governance
In order to advance the so-called safe system approach to address roadway safety, it is necessary to enhance traffic safety and reduce transportation-related injuries and fatalities through a strong multisectoral approach. This paper highlights the intersection of transportation and health by illuminating other significant sectors involved, thereby offering a more comprehensive and holistic perspective. These sectors include: (i) public health sector that focuses on injury prevention, emergency response, and health education to mitigate risks associated with road crashes; (ii) transportation and urban planning, the sector that designs safer roads, traffic flow management, and pedestrian-friendly infrastructure; (iii) law enforcement and policy makers, a sector that enforces traffic laws, regulates vehicle standards, and promotes safer driving behaviors, (iv) technology and automotive industry, a sector that develops vehicle safety features (e.g., airbags, automated braking, smart traffic control, etc.), and (v) education and community engagement, a sector that promotes awareness campaigns and driver education programs to encourage responsible road behavior. Each level discussed, interacts with the others, shaping overall traffic safety outcomes. Some of the outcomes include: (1) reduction in traffic-related injuries and fatalities, (2) improved road infrastructure and urban mobility, (3) lower healthcare burden due to fewer crash-related hospitalizations, (4) promotion of sustainable and active transportation (e.g., walking, cycling, public transit), (5) enhanced quality of life and reduced economic losses from traffic incidents, etc.
Transportation data worldwide demonstrates that coordinated strategies combining safer vehicles, safer roads, effective enforcement, and robust post-crash care achieve the largest reductions in fatalities [66]. The framework presented in this paper provides a conceptual bridge for such collaboration by situating vehicle engineering within a broader public health ecosystem. For scholars publishing in Vehicles, this calls for expanded methodological approaches that integrate engineering models. Finally, this discussion supports a transition from technology-centric to system-centric safety research. Emerging innovations such as connected and automated vehicles must be evaluated within the real-world contexts, including behavioral adaptation, infrastructure compatibility, and health-system capacity [65].
For researchers and practitioners, the proposed model offers a unifying structure for collaboration between transportation agencies, vehicle manufacturers, public health authorities, and community stakeholders. Adoption of this integrated perspective can support more equitable and durable safety outcomes and guide the next generation of interdisciplinary research. The framework yields several actionable implications for professionals working in transportation engineering, vehicle safety, and public health, primarily at the community-level:
- Prepare for Emerging Mobility TechnologiesDeployment of connected and automated vehicles should be accompanied by infrastructure readiness and community engagement to ensure benefits are realized across all population groups [65].
- Strengthen Multisector PartnershipsEffective road safety requires coordinated action among transportation departments, vehicle manufacturers, public health agencies, and local communities, as emphasized in international best practice [66].
Implementing these actions can translate the conceptual insights of this paper into measurable reductions in road trauma and more resilient transportation systems.
6. Conclusions
A holistic approach that integrates multiple sectors and societal levels is essential to improving transportation safety and protecting public health. Strong collaborations between health professionals, urban planners, law enforcement, policymakers, and communities can create safer, more sustainable mobility systems that benefit society as a whole. Recognizing these interactions moves the field beyond siloed interventions toward a system-oriented strategy consistent with Safe System principles [11,49]. Engineering countermeasures and ADAS technologies offer substantial benefits, yet their effectiveness is conditioned by the contexts in which vehicles operate [39,55,56]. Integrating these perspectives provides a stronger foundation for reducing fatalities and serious injuries than approaches centered on any single sector.
Author Contributions
Conceptualization, D.E. and R.E.; writing—original draft preparation, D.E.; writing—review and editing, R.E and B.N. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| ADAS | Advanced Driver Assistance Systems |
| APHA | American Public Health Association |
| AVs | Autonomous Vehicles |
| CDC | Centers of Disease Control |
| DUI | Driving Under the Influence |
| EMS | Emergency Medical Services |
| GDP | Gross Domestic Product |
| NIMHD | National Institute on Minority Health and Health Disparities |
| SES | Socioeconomic Status |
| VDUs | Vulnerable Road Users |
| VOC | Volatile Organic Compound |
References
- Garber, N.J.; Hoel, L.A. Traffic and Highway Engineering, 5th ed.; Cengage Learning: Boston, MA, USA, 2018. [Google Scholar]
- Gopalakrishnan, S. A public health perspective of road traffic accidents. J. Fam. Med. Prim. Care 2012, 1, 144. [Google Scholar] [CrossRef]
- Roess, R.P.; Prassas, E.S.; McShane, W.R. Traffic Engineering, 5th ed.; Pearson: Upper Saddle River, NJ, USA, 1990. [Google Scholar]
- Sleet, D.A.; Dellinger, A.M.; Naumann, R.B. The intersection of road traffic safety and public health. In Handbook of Traffic Psychology; Porter, B.E., Ed.; Academic Press: London, UK, 2011; pp. 457–470. [Google Scholar]
- World Health Organization. Regional Approach to the Decade of Action for Road Safety 2021–2030; WHO: Geneva, Switzerland, 2022. [Google Scholar]
- Wikipedia. Road Traffic Safety. 2024. Available online: https://en.wikipedia.org/wiki/Road_traffic_safety (accessed on 5 December 2025).
- Moynihan, D.P. Public health and traffic safety. J. Crim. Law Criminol. Police Sci. 1960, 51, 93–97. [Google Scholar] [CrossRef]
- Forjuoh, S.N. Traffic-related injury prevention interventions for low-income countries. Inj. Control Saf. Promot. 2003, 10, 109–118. [Google Scholar] [CrossRef]
- Ameratunga, S.; Hijar, M.; Norton, R. Road-traffic injuries: Confronting disparities to address a global-health problem. Lancet 2006, 367, 1533–1540. [Google Scholar] [CrossRef]
- Azetsop, J. Social justice approach to road safety in Kenya: Addressing the uneven distribution of road traffic injuries and deaths across population groups. Public Health Ethics 2010, 3, 115–127. [Google Scholar] [CrossRef]
- World Health Organization. Global Status Report on Road Safety 2023; WHO: Geneva, Switzerland, 2023. [Google Scholar]
- Centers for Disease Control and Prevention. About Transportation Safety. 2024. Available online: https://www.cdc.gov/transportation-safety/about/index.html (accessed on 5 December 2025).
- Baker, S.P. Injury control: Accident prevention and other approaches to reduction of injury. In Preventive Medicine and Public Health, 10th ed.; Sartwell, P.E., Ed.; Appleton-Century: New York, NY, USA, 1972; pp. 987–1005. [Google Scholar]
- American Public Health Association. What Is Public Health? 2024. Available online: https://www.apha.org/What-is-public-health (accessed on 5 December 2025).
- World Health Organization. Road Traffic Injuries. 2023. Available online: https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries (accessed on 13 December 2023).
- National Institute on Minority Health and Health Disparities. NIMHD Research Framework. 2025. Available online: https://www.nimhd.nih.gov (accessed on 22 December 2025).
- Mohan, D. Traffic safety: Rights and obligations. Accid. Anal. Prev. 2019, 128, 159–163. [Google Scholar] [CrossRef]
- Mergia, W.Y.; Eustace, D.; Chimba, D.; Qumsiyeh, M. Exploring factors contributing to injury severity at freeway merging and diverging locations in Ohio. Accid. Anal. Prev. 2013, 55, 202–210. [Google Scholar] [CrossRef]
- Houston, D.J.; Richardson, L.E., Jr. Traffic safety and the switch to a primary seat belt law: The California experience. Accid. Anal. Prev. 2002, 34, 743–751. [Google Scholar] [CrossRef]
- Houston, D.J.; Richardson, L.E., Jr. Reducing traffic fatalities in the American states by upgrading seat belt use laws to primary enforcement. J. Policy Anal. Manag. 2006, 25, 645–659. [Google Scholar] [CrossRef]
- Cummins, J.S.; Koval, K.J.; Cantu, R.V.; Spratt, K.F. Do seat belts and air bags reduce mortality and injury severity after car accidents? Am. J. Orthop. 2011, 40, E26–E29. [Google Scholar]
- Febres, J.D.; García-Herrero, S.; Herrera, S.; Gutiérrez, J.M.; López-García, J.R.; Mariscal, M.A. Influence of seat-belt use on the severity of injury in traffic accidents. Eur. Transp. Res. Rev. 2020, 12, 9. [Google Scholar] [CrossRef]
- Zaloshnja, E.; Miller, T.R.; Hendrie, D. Effectiveness of child safety seats vs safety belts for children aged 2 to 3 years. Arch. Pediatr. Adolesc. Med. 2007, 161, 65–68. [Google Scholar] [CrossRef]
- Peng, Y.; Vaidya, N.; Finnie, R.; Reynolds, J.; Dumitru, C.; Njie, G. Community Preventive Services Task Force. Universal motorcycle helmet laws to reduce injuries: A community guide systematic review. Am. J. Prev. Med. 2017, 52, 820–832. [Google Scholar]
- Antosia, R.E.; Partridge, R.A.; Virk, A.S. Air bag safety. Ann. Emerg. Med. 1995, 25, 794–798. [Google Scholar] [CrossRef]
- Kuner, E.H.; Schlickewei, W.; Oltmanns, D. Injury reduction by the airbag in accidents. Injury 1996, 27, 185–188. [Google Scholar] [CrossRef]
- Mäkinen, T.; Zaidel, D.M.; Andersson, G.; Biecheler-Fretel, M.B.; Christ, R.; Cauzard, J.P.; Vaa, T. Traffic Enforcement in Europe: Effects, Measures, Needs and Future; ESCAPE Project Report; 2003. [Google Scholar]
- Kumar, S.; Iyer, V. Stringent road safety laws: Need of the hour to stop the homicides on Indian roads: A regulatory perspective. Med.-Leg. Update 2021, 21, 1137. [Google Scholar] [CrossRef]
- Fisa, R.; Musukuma, M.; Sampa, M.; Musonda, P.; Young, T. Effects of interventions for preventing road traffic crashes: An overview of systematic reviews. BMC Public Health 2022, 22, 513. [Google Scholar] [CrossRef]
- Giles-Corti, B.; Vernez-Moudon, A.; Reis, R.; Turrell, G.; Dannenberg, A.L.; Badland, H.; Owen, N. City planning and population health: A global challenge. Lancet 2016, 388, 2912–2924. [Google Scholar] [CrossRef]
- Khreis, H.; Warsow, K.M.; Verlinghieri, E.; Guzman, A.; Pellecuer, L.; Ferreira, A.; Nieuwenhuijsen, M. The health impacts of traffic-related exposures in urban areas: Understanding real effects, underlying driving forces and co-producing future directions. J. Transp. Health 2016, 3, 249–267. [Google Scholar] [CrossRef]
- Frumkin, H.; Frank, L.; Jackson, R. Urban Sprawl and Public Health: Designing, Planning, and Building for Healthy Communities; Island Press: Washington, DC, USA, 2004. [Google Scholar]
- Machin, M.; Sankey, K. Relationships between young drivers’ personality characteristics, risk perceptions, and driving behaviour. Accid. Anal. Prev. 2008, 40, 541–547. [Google Scholar] [CrossRef]
- Al-Tit, A.A. The impact of drivers’ personality traits on their risky driving behaviors. J. Hum. Behav. Soc. Environ. 2020, 30, 498–509. [Google Scholar] [CrossRef]
- Oltedal, S.; Rundmo, T. The effects of personality and gender on risky driving behaviour and accident involvement. Saf. Sci. 2006, 44, 621–628. [Google Scholar] [CrossRef]
- Ulleberg, P. Personality subtypes of young drivers: Relationship to risk-taking preferences, accident involvement and response to a traffic safety campaign. Transp. Res. Part F Traffic Psychol. Behav. 2001, 4, 279–297. [Google Scholar] [CrossRef]
- Adamos, G.; Nathanail, E.G.; Kapetanopoulou, P. Do road safety communication campaigns work? How to assess the impact of a national fatigue campaign on driving behavior. Transp. Res. Rec. 2013, 2364, 62–70. [Google Scholar]
- Nathanail, E.; Adamos, G. Road safety communication campaigns: Research designs and behavioral modeling. Transp. Res. Part F Traffic Psychol. Behav. 2013, 18, 107–122. [Google Scholar] [CrossRef]
- DeJong, W.; Atkin, C.K. A review of national television PSA campaigns for preventing alcohol-impaired driving, 1987–1992. J. Public Health Policy 1995, 16, 59–80. [Google Scholar] [CrossRef]
- Mayhew, D.R.; Simpson, H.M.; Williams, A.F.; Ferguson, S.A. Effectiveness and role of driver education and training in a graduated licensing system. J. Public Health Policy 1998, 19, 51–67. [Google Scholar] [CrossRef]
- Owsley, C.; McGwin, G., Jr.; Phillips, J.M.; McNeal, S.F.; Stalvey, B.T. Impact of an educational program on the safety of high-risk, visually impaired, older drivers. Am. J. Prev. Med. 2004, 26, 222–229. [Google Scholar] [CrossRef]
- Senserrick, T.; Ivers, R.; Boufous, S.; Chen, H.Y.; Norton, R.; Stevenson, M.; Zask, A. Young driver education programs that build resilience have potential to reduce road crashes. Pediatrics 2009, 124, 1287–1292. [Google Scholar] [CrossRef]
- Peden, M. Global collaboration on road traffic injury prevention. Int. J. Inj. Control Saf. Promot. 2005, 12, 85–91. [Google Scholar] [CrossRef]
- Bachani, A.; Peden, M.; Gururaj, G.; Norton, R.; Hyder, A. Road traffic injuries. In Injury Prevention and Environmental Health, 3rd ed.; The International Bank for Reconstruction and Development/The World Bank: Washington, DC, USA, 2017. [Google Scholar]
- Ahmed, H.U.; Huang, Y.; Lu, P.; Bridgelall, R. Technology developments and impacts of connected and autonomous vehicles: An overview. Smart Cities 2022, 5, 382–404. [Google Scholar] [CrossRef]
- Chan, C.Y. Advancements, prospects, and impacts of automated driving systems. Int. J. Transp. Sci. Technol. 2017, 6, 208–216. [Google Scholar] [CrossRef]
- Lu, M.; Wevers, K.; Van Der Heijden, R. Technical feasibility of advanced driver assistance systems (ADAS) for road traffic safety. Transp. Plan. Technol. 2005, 28, 167–187. [Google Scholar] [CrossRef]
- Purohit, A.; Kumar, V.; Hada, J.; Doolani, A. Advanced driving assistance systems. Int. J. Eng. Trends Appl. 2024, 11, 254–261. [Google Scholar]
- International Transport Forum. Safe System Approach to Road Safety; OECD/ITF: Paris, France, 2022. [Google Scholar]
- Li, G.; Braver, E.R.; Chen, L. Fragility versus excessive crash involvement among older drivers. Accid. Anal. Prev. 2013, 59, 364–371. [Google Scholar]
- National Highway Traffic Safety Administration (NHTSA). Traffic Safety Facts 2022; U.S. Department of Transportation: Washington, DC, USA, 2023. [Google Scholar]
- Tefft, B.C. Impact speed and pedestrian injury risk. Accid. Anal. Prev. 2017, 98, 236–241. [Google Scholar] [CrossRef]
- Haddon, W. Energy damage and countermeasure strategies. J. Trauma 1973, 13, 321–331. [Google Scholar] [CrossRef]
- Federal Highway Administration (FHWA). Proven Safety Countermeasures; U.S. Department of Transportation: Washington, DC, USA, 2020. [Google Scholar]
- Zegeer, C.V.; Stewart, J.R.; Huang, H.H.; Lagerwey, P.A. Safety effects of marked versus unmarked crosswalks at uncontrolled locations. Transp. Res. Rec. 2002, 1773, 56–68. [Google Scholar] [CrossRef]
- European Commission. Effectiveness of ADAS Technologies; European Commission: Brussels, Belgium, 2022. [Google Scholar]
- Pucher, J.; Buehler, R. Walking and cycling for healthy cities. Built Environ. 2010, 36, 391–414. [Google Scholar] [CrossRef]
- Chakraborty, J.; Maantay, J.A.; Brender, J.D. Environmental justice and transport hazards. Am. J. Public Health 2011, 101, S27–S36. [Google Scholar] [CrossRef]
- Bullard, R.D. Confronting Environmental Racism: Voices from the Grassroots, 2nd ed.; South End Press: Cambridge, MA, USA, 2003. [Google Scholar]
- MacKenzie, E.J.; Rivara, F.P.; Jurkovich, G.J.; Nathens, A.B.; Frey, K.P.; Egleston, B.L.; Salkever, D.S.; Scharfstein, D.O. A national evaluation of the effect of trauma-center care on mortality. N. Engl. J. Med. 2006, 354, 366–378. [Google Scholar] [CrossRef]
- Peek-Asa, C.; Zwerling, C.; Stallones, L. Acute traumatic injuries in rural populations. J. Rural Health 2004, 20, 387–391. [Google Scholar]
- Starbird, L.E.; DiMaina, C.; Sun, C.A.; Han, H.R. A systematic review of interventions to minimize transportation barriers among people with chronic diseases. J. Community Health 2019, 44, 400–411. [Google Scholar] [CrossRef]
- Solomon, E.M.; Wing, H.; Steiner, J.F.; Gottlieb, L.M. Impact of transportation interventions on health care outcomes: A systematic review. Med. Care 2020, 58, 384–391. [Google Scholar] [CrossRef]
- Savoie, C.; Lavallière, M.; Voyer, P.; Bouchard, S. Road safety of older drivers and the nursing profession: A scoping review. Int. J. Older People Nurs. 2022, 17, e12452. [Google Scholar] [CrossRef]
- Litman, T. Autonomous vehicle implementation predictions: Implications for transport planning. Victoria Transp. Policy Inst. 2023. [Google Scholar]
- Elvik, R. The Handbook of Road Safety Measures, 2nd ed.; Emerald Publishing: Bingley, UK, 2019. [Google Scholar]
Table 1.
Conceptual Model of Roadway Transportation within the NIMHD Framework.
| Levels of Influence | Domains of Influence | ||||
|---|---|---|---|---|---|
| Biological | Behavioral | Physical/Built Environment | Sociocultural Environment | Health Care System | |
| Individual | Age-related vulnerability, comorbidities, disability, injury tolerance differences | Seatbelt use, speeding, distracted driving, fatigue, impaired driving (alcohol/drugs) | Exposure to high-speed arterials, unsafe pedestrian crossings, vehicle safety technology availability | Risk perception, cultural norms regarding compliance, language proficiency barriers | Insurance coverage, pre-existing health status affecting injury recovery |
| Interpersonal | Genetic predispositions influencing impairment or reaction time | Peer influence on risk-taking, parental modeling of safe driving behaviors | Household vehicle age/maintenance, shared vehicle access constraints | Family norms about safety restraint use and enforcement attitudes | Family advocacy and support in post-crash care and rehabilitation access |
| Community | Population-level chronic disease prevalence affecting injury severity outcomes | Community compliance with traffic laws, prevalence of impaired driving environments | Roadway design standards, sidewalk and lighting infrastructure, transit accessibility, traffic calming presence | Neighborhood socioeconomic status, residential segregation, enforcement disparities | EMS response times, trauma center proximity, availability of Level I/II trauma facilities |
| Societal | Aging population trends affecting system-wide crash risk profiles | National impaired driving policies, graduated licensing systems, enforcement intensity | Infrastructure investment priorities, zoning decisions, highway placement in disadvantaged communities | Structural inequities, transportation access gaps, historical disinvestment patterns | Trauma system funding policies, insurance regulations, national injury surveillance systems |
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