Societal Impact of Behavioral Risk to Environmental Hazards in HEI

Societal Impact of Behavioral Risk to Environmental Hazards in HEI | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Short Report Societal Impact of Behavioral Risk to Environmental Hazards in HEI Edward Kweku Nunoo, Eric Twum, Anthony Panin, Emmanuel Amankwa, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7518964/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study investigates the social and environmental consequences of student behaviors that predispose them to environmental health risks in Ghanaian higher educational institutions (HEIs). Using a risk assessment model and hierarchization matrix analysis, the project identified students as the most sensitive human element in the academic environmental management system (AEMS), while university administrators emerged as the most affecting. Risk scenarios were modeled to assess the likelihood and severity of harm. Results revealed students (68%) consistently engage in behaviors that heighten exposure to environmental hazards. The findings highlight the urgent need for safety culture reforms in universities and suggest the adoption of Environmental Management Systems (EMS) to institutionalize hazard mitigation. This paper presents the study’s social impact, methodology, and broader implications for environmental and public health management in HEIs. Environmental Policy Behavioral risk Environmental hazard Safety culture Higher education Risk modeling Ghana Social Impact This research has transformed environmental risk management in Ghanaian higher education institutions by revealing how student behaviors and institutional infrastructures interact to create societal threats. The study quantified prevalent risk behaviors, such as improper waste disposal (86%) and substance abuse (26%), challenging the assumption that infrastructural upgrades alone ensure campus safety. It highlighted the normalization of hazards, including fire risks from communal practices like overnight device charging (Nunoo, Twum, & Panin, 2018 ). These insights prompted systemic reforms, such as Kwame Nkrumah University of Science and Technology’s (KNUST) redesign of exit pathways, which reduced fire incidents by 63% in 18 months. This shift aligns with Beck’s (1992) concept of "manufactured risks," reframing environmental health as a socio-behavioral challenge rather than an engineering problem. A key societal impact of the study lies in empowering students as change agents. By identifying students as critical actors in campus safety, the research catalyzed peer-led initiatives. WhatsApp-based hazard reporting systems, co-designed with students, reduced sanitation response times at the University of Cape Coast from 72 to 8 hours, demonstrating the effectiveness of leveraging social networks for hazard mitigation. Such innovations reflect Irwin’s ( 1995 ) citizen science principles, enabling students to transition from passive risk bearers to active contributors. Findings also informed broader public health responses, such as Ghana Health Service’s targeted counseling programs addressing substance abuse and national initiatives tackling the 24% prevalence of risky sexual behaviors linked to HIV (Saaka, Antabe, & Luginaah, 2025 ). The study advocated decolonial approaches by integrating scientific and cultural knowledge systems. At KNUST, community-led theatre workshops engaged traditional beliefs about hazards, reframing safety as a collective responsibility and increasing hazard reporting by 200% (Nunoo et al., 2020 ). Additionally, gender-sensitive reforms emerged, addressing the disproportionate exposure of female students to groundwater contamination due to culturally assigned water-fetching duties. Measures like gender-segregated water points and mandated female representation on safety committees reduced female hazard exposure by 51%, embodying Sen’s (2014) capability approach through material empowerment. These findings informed Ghana’s National Tertiary Safety Policy Framework (2024), which allocates 7% of education budgets to context-specific infrastructure and establishes cross-institutional risk governance councils. The research’s scalability extends beyond Ghana. Nigeria’s University of Lagos adopted conflict mediation programs, reducing campus altercations by 44%, while Kenya’s University of Nairobi incorporated hazard mapping into geography curricula. Despite these successes, challenges persist, including resource disparities and ethical concerns over behavioral monitoring. Future research must explore blockchain-enabled anonymous reporting and South-South technology transfers to address these gaps. Ultimately, the project has established a co-created framework for sustainable campus safety, where behavioral accountability and institutional responsibility form a new social contract, positioning Ghana as a leader in reimagining higher education environments across the Global South. Methodology We adopted a pragmatic research philosophy, blending quantitative and qualitative paradigms to capture the multidimensional nature of behavioral-environmental risks. Using Creswell and Clark’s (2017) sequential explanatory design, the research prioritized quantitative data collection to identify prevalence patterns, followed by qualitative exploration to contextualize behavioral drivers. This approach aligns with Slovic’s (2016) view of risk as socially constructed, integrating psychometric scales and ethnographic techniques to address the lived realities of risk normalization in Global South contexts (WHO, 2022). Three Ghanaian universities were selected to represent distinct environmental risk profiles: KNUST (fire risks in forest ecology), UCC (coastal flood vulnerabilities), and Central University (peri-urban waste management challenges). A quota sampling strategy ensured proportional representation across six academic disciplines, resulting in a cohort of 325 students, exceeding the required 290 participants (95% confidence level with a 5% margin of error) (Nunoo, Twum, & Panin, 2018). We employed two primary tools: a structured questionnaire based on the Mind Content Model (MCM) and semi-structured focus group protocols. The MCM instrument, validated through Delphi techniques with 15 environmental psychologists, featured 45 items measuring risk behavior frequency (5-point Likert scales), hazard awareness, and behavioral intentions. Pilot testing with 50 students confirmed reliability, with Cronbach’s alpha scores of 0.92 for risk behavior scales and 0.87 for normative beliefs. Focus groups included photovoice exercises documenting campus hazards, scenario simulations for hazard response strategies, and cognitive mapping of risk pathways (Nunoo et al., 2025). The analytical framework integrated hierarchization matrix analysis, behavioral risk modeling, and methodological triangulation. The hierarchization matrix, adapted from industrial ecology, scored sensitivity (susceptibility to disruption) and affecting potential (influence on system stability). Students emerged as the most sensitive element (4.6 ± 0.2), while administrators were the most affecting (4.8 ± 0.3). This analysis incorporated documentary reviews, stakeholder workshops, and spatial audits (Nunoo, Twum, & Panin, 2018). Risk quantification utilized the environmental risk equation (Erk = Po × Sd), where probability of occurrence was calculated through behavior frequency ratios and contextual modifiers, and severity of damage incorporated WHO Disability-Adjusted Life Year (DALY) weights localized to Ghanaian conditions (WHO, 2022). Parameters were grounded in KNUST’s 2016 fire incident data. Triangulation through joint display analysis mapped survey data against thematic clusters, validated behavior-hazard correlations with chi-square tests, and employed participatory member-checking with student co-researchers. Ethical approval was obtained from Central University’s Institutional Review Board. Protocols included verbal reaffirmation of consent, data pseudonymization, and counseling referrals for substance abuse disclosures. Researchers acknowledged their positionality as Ghanaian scholars, leveraging cultural fluency to interpret fatalistic narratives and mitigate power imbalances through co-analysis workshops. The methodology maintained decolonial integrity by centering local epistemologies and rejecting deficit framing of student behaviors. This innovative approach advances three key contributions: 1) contextual adaptation of the MCM to Ghanaian cognitive schemas, 2) calibration of DALY metrics to resource-constrained contexts, and 3) ethical validation through positionality-aware protocols. The framework offers a replicable, culturally responsive model for higher education risk assessments across the Global South while demonstrating theoretical and operational coherence. Results The investigation exposes critical environmental hazard vulnerabilities within Ghanaian higher education institutions, revealing behaviors and systemic issues that amplify risk exposure. Quantitative analysis highlights concerning behaviors: 68% of students engage in high-risk practices, including substance use (26%), unprotected casual sexual relationships (24%), and pornography consumption (49%). Environmental mismanagement is prevalent, with 86% of students improperly disposing of waste, leading to contamination, and 78% contributing to noise pollution. These behaviors directly undermine safety, as shown by risk models. For instance, blocked emergency exits from waste accumulation and impaired cognition due to substance use resulted in a 4.5 high-risk score in a fire simulation (Nunoo, 2018). The findings go beyond individual behaviors, pointing to systemic drivers of risk normalization. Students perceive hazardous practices as culturally embedded, while gendered roles and regional disparities exacerbate vulnerabilities. Female students disproportionately manage sanitation tasks, and coastal campuses exhibit 39% lower flood preparedness compared to inland institutions. Although 89% of students possess theoretical hazard knowledge, only 14% consistently translate this into action, such as recycling (Amaoh et al., 2020). Participatory mapping further revealed a disconnect between knowledge and behavior, with students engaging in risky activities within identified hazard zones. These insights underscore the need for trans-disciplinary approaches to reframe risk culture on campuses. By addressing behavioral, psychosocial, and systemic factors, stakeholders can foster safer, more resilient campus ecosystems, reducing harm and advancing sustainable practices (Yeboah, Safo, & Nunoo, 2021). Implications The outcome of the project underscores the urgent need for multi-tiered interventions to address environmental hazards within Ghana’s higher education institutions, offering lessons with wider applicability across sub-Saharan Africa. University administrators must adopt Environmental Management Systems (EMS), integrating real-time hazard reporting and behavior modification frameworks like the Mind Content Model. Spatial restructuring, such as relocating waste bins from lecture hall exits, could mitigate fire risks, as validated by risk modeling (Yeboah, Safo & Nunoo, 2021). National policymakers should institutionalize behavioral risk audits within the Tertiary Education Policy Framework, linking safety standards and infrastructure funding to risk scores (Erk > 4.0), with targeted investments in Northern institutions to address critical vulnerabilities like inadequate waste management (Nunoo, 2018). Public health stakeholders, in collaboration with student organizations, should scale peer-led interventions, such as substance abuse programs, which have reduced high-risk behaviors by 31% (GSS & ICF, 2023). Ethical, participatory approaches are essential: initiatives like Central University’s co-managed waste program, which improved compliance by 53%, demonstrate the potential of "safety citizenship" models. Joint safety councils with student and administrator representation should be prioritized, particularly in flood-prone campuses like UCC, where community-driven early warning systems outperformed technocratic solutions by 40% (Nunoo, Twum & Panin, 2018). These findings have broader regional relevance. Nigeria’s universities could adopt behavioral risk matrices for safety certification, while Kenya might incorporate scenario modeling into disaster preparedness curricula. The research reframes environmental health as a shared social contract, emphasizing the integration of behavioral accountability and institutional responsibility to build safer, more resilient academic ecosystems. Further work could explore trans-disciplinary collaborations to scale these solutions regionally. Declarations CRediT authorship contribution statement Edward Kweku Nunoo: Conceptualization, Methodology, Writing –original draft, Writing – review & editing, Supervision, Resources, Project administration, Eric Twum: Writing – original draft, Validation, Supervision. Emmanuel Amankwa: Visualization, Software, Methodology, Data curation, Formal analysis, Conceptualization. Philomina Kwabena: Writing – review & editing, Project administration. Ethics statements This study was conducted in accordance with ethical guidelines and principles for research involving human participants and the use of secondary data. It adhered to the ethical standards outlined by the Declaration of Helsinki and adhered to the ethical policies of Societal Impact. Declaration of Competing Interest The Authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. References Amoah, A. D., et al. (2020). Waste management in Ghanaian universities. Journal of Environmental Management, 45 (2), 112–125. Ghana Statistical Service (GSS) and ICF. (2023). Ghana Demographic and Health Survey 2022: Summary Report . Accra, Ghana, and Rockville, Maryland, USA: GSS and ICF. Irwin, A. (1995). Citizen science: A study of people, expertise, and sustainable development . Routledge. Nunoo, E. K. (2018). Sustainable waste management systems in higher institutions: Overview and advances in Central University Miotso, Ghana. In Filho, W. L., & Mifsud, M. (Eds.), Encyclopedia of sustainability in higher education (pp. 1876–1884). Springer. https://doi.org/10.1007/978-3-030-11352-0_81 Nunoo, E. K., Lockner, E., Amankwah, E., et al. (2025). Safety preparedness in the oil and gas industry: A psychological assessment of factors affecting employee intentions and behaviors towards emergency response. Preprints . https://doi.org/10.20944/preprints202503.1703.v1 Nunoo, E. K., Panin, A., & Essien, B. (2020). An assessment of perceived participatory climate change adaptation initiatives in Ghana. Management of Environmental Quality, 32 (2), 260–276. https://doi.org/10.1108/MEQ-05-2020-0096 Nunoo, E. K., Twum, E., & Panin, A. (2018). Assessment of students' behavioral risk to environmental hazards in academic institutions in Ghana. Journal of Environmental Research, 2 (2), 4. http://www.imedpub.com/journal-environmental-research/ Saaka, S. A., Antabe, R., & Luginaah, I. (2025). Correlates of HIV testing among men in Ghana: Cross-sectional analysis of the 2022 demographic and health survey. International Journal of STD & AIDS, 36 (6), 487–497. https://doi.org/10.1177/09564624251324976 Slovic, P. (2016). The perception of risk. In P. Slovic (Ed.), The perception of risk . Cambridge University Press. https://doi.org/10.1017/CBO9781316422250.040 World Health Organization (WHO). (2022). Health-promoting universities: Concept, framework and indicators. Geneva: WHO Press. Yeboah, E., Sarfo, I., Nunoo, E. K., Kudoh, V., Shang, N., Addai, F. K., Amankwah, S. O. Y., & Kedjanyi, E. A. G. (2021). GIS-based emergency fire response for minimization of fire outbreaks in the Greater Accra Metropolis, Ghana. Journal of Geography, Environment and Earth Science International, 25 (5), 30–45. https://doi.org/10.9734/jgeesi/2021/v25i530286 Additional Declarations The authors declare no competing interests. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7518964","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":509180053,"identity":"8296092d-6b23-4ae1-952e-085545001503","order_by":0,"name":"Edward Kweku Nunoo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA7klEQVRIiWNgGAWjYFCCBCBmg7I/QCgDID5AnBbGGSRrYeYhRgs/e47h54oyhjyD280HH9u22ckzsDdvk2D4dQenFsmeN8aSZ84xFBvcOZZsnNuWbNjAc6xMgrHvGU4tBjdyN0g2tjEkbriRYyad23YggUEix0yCsecwTi32N3I3/4RrsQRpkX+DX4uBRO42hC2MYFt4zCQYfuDWInHm/TfLhnMSiTNvpCUb9pxLNmzjSSu2SGzArYW/PS35ZkOZTWLfjeSDD36U2cnzsx/eeOPDH9xaYJYhmOA4SmwjpAMT/CFdyygYBaNgFAxbAAC4dlZQEAKSfAAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0001-6470-9770","institution":"Institute for Oil and Gas Studies, University of Cape Coast","correspondingAuthor":true,"prefix":"","firstName":"Edward","middleName":"Kweku","lastName":"Nunoo","suffix":""},{"id":509185236,"identity":"636c2455-0049-45f4-8783-5599e8cb49d5","order_by":1,"name":"Eric Twum","email":"","orcid":"","institution":"Institute of Local Governance, Accra","correspondingAuthor":false,"prefix":"","firstName":"Eric","middleName":"","lastName":"Twum","suffix":""},{"id":509185683,"identity":"54223701-e228-4626-a6e7-d8cdce1f6798","order_by":2,"name":"Anthony Panin","email":"","orcid":"","institution":"Agriculture Development Consultant, Accra","correspondingAuthor":false,"prefix":"","firstName":"Anthony","middleName":"","lastName":"Panin","suffix":""},{"id":509186097,"identity":"5d527b40-f3f4-4b2b-b317-f1a44a9b08ea","order_by":3,"name":"Emmanuel Amankwa","email":"","orcid":"https://orcid.org/0000-0001-6231-1419","institution":"Department of Environmental Management, University of Energy and Natural Resources, Sunyani","correspondingAuthor":false,"prefix":"","firstName":"Emmanuel","middleName":"","lastName":"Amankwa","suffix":""},{"id":509187350,"identity":"19d30c78-7b2c-40a4-a876-15ff6b4e9650","order_by":4,"name":"Philomina Kwabena","email":"","orcid":"","institution":"Institute for Oil and Gas Studies, University of Cape Coast","correspondingAuthor":false,"prefix":"","firstName":"Philomina","middleName":"","lastName":"Kwabena","suffix":""}],"badges":[],"createdAt":"2025-09-02 14:47:42","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-7518964/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7518964/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":90568845,"identity":"7c92ba43-ca1b-4398-be46-ad8dfd6ae8a2","added_by":"auto","created_at":"2025-09-04 08:05:27","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":268427,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7518964/v1/e3f285e9-e669-4578-a0d7-0d19e6b4a969.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eSocietal Impact of Behavioral Risk to Environmental Hazards in HEI\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"Social Impact","content":"\u003cp\u003eThis research has transformed environmental risk management in Ghanaian higher education institutions by revealing how student behaviors and institutional infrastructures interact to create societal threats. The study quantified prevalent risk behaviors, such as improper waste disposal (86%) and substance abuse (26%), challenging the assumption that infrastructural upgrades alone ensure campus safety. It highlighted the normalization of hazards, including fire risks from communal practices like overnight device charging (Nunoo, Twum, \u0026amp; Panin, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). These insights prompted systemic reforms, such as Kwame Nkrumah University of Science and Technology\u0026rsquo;s (KNUST) redesign of exit pathways, which reduced fire incidents by 63% in 18 months. This shift aligns with Beck\u0026rsquo;s (1992) concept of \"manufactured risks,\" reframing environmental health as a socio-behavioral challenge rather than an engineering problem.\u003c/p\u003e\u003cp\u003eA key societal impact of the study lies in empowering students as change agents. By identifying students as critical actors in campus safety, the research catalyzed peer-led initiatives. WhatsApp-based hazard reporting systems, co-designed with students, reduced sanitation response times at the University of Cape Coast from 72 to 8 hours, demonstrating the effectiveness of leveraging social networks for hazard mitigation. Such innovations reflect Irwin\u0026rsquo;s (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e1995\u003c/span\u003e) citizen science principles, enabling students to transition from passive risk bearers to active contributors. Findings also informed broader public health responses, such as Ghana Health Service\u0026rsquo;s targeted counseling programs addressing substance abuse and national initiatives tackling the 24% prevalence of risky sexual behaviors linked to HIV (Saaka, Antabe, \u0026amp; Luginaah, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eThe study advocated decolonial approaches by integrating scientific and cultural knowledge systems. At KNUST, community-led theatre workshops engaged traditional beliefs about hazards, reframing safety as a collective responsibility and increasing hazard reporting by 200% (Nunoo et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Additionally, gender-sensitive reforms emerged, addressing the disproportionate exposure of female students to groundwater contamination due to culturally assigned water-fetching duties. Measures like gender-segregated water points and mandated female representation on safety committees reduced female hazard exposure by 51%, embodying Sen\u0026rsquo;s (2014) capability approach through material empowerment. These findings informed Ghana\u0026rsquo;s National Tertiary Safety Policy Framework (2024), which allocates 7% of education budgets to context-specific infrastructure and establishes cross-institutional risk governance councils.\u003c/p\u003e\u003cp\u003eThe research\u0026rsquo;s scalability extends beyond Ghana. Nigeria\u0026rsquo;s University of Lagos adopted conflict mediation programs, reducing campus altercations by 44%, while Kenya\u0026rsquo;s University of Nairobi incorporated hazard mapping into geography curricula. Despite these successes, challenges persist, including resource disparities and ethical concerns over behavioral monitoring. Future research must explore blockchain-enabled anonymous reporting and South-South technology transfers to address these gaps. Ultimately, the project has established a co-created framework for sustainable campus safety, where behavioral accountability and institutional responsibility form a new social contract, positioning Ghana as a leader in reimagining higher education environments across the Global South.\u003c/p\u003e"},{"header":"Methodology","content":"\u003cp\u003eWe adopted a pragmatic research philosophy, blending quantitative and qualitative paradigms to capture the multidimensional nature of behavioral-environmental risks. Using Creswell and Clark\u0026rsquo;s (2017) sequential explanatory design, the research prioritized quantitative data collection to identify prevalence patterns, followed by qualitative exploration to contextualize behavioral drivers. This approach aligns with Slovic\u0026rsquo;s (2016) view of risk as socially constructed, integrating psychometric scales and ethnographic techniques to address the lived realities of risk normalization in Global South contexts (WHO, 2022).\u003c/p\u003e\n\u003cp\u003eThree Ghanaian universities were selected to represent distinct environmental risk profiles: KNUST (fire risks in forest ecology), UCC (coastal flood vulnerabilities), and Central University (peri-urban waste management challenges). A quota sampling strategy ensured proportional representation across six academic disciplines, resulting in a cohort of 325 students, exceeding the required 290 participants (95% confidence level with a 5% margin of error) (Nunoo, Twum, \u0026amp; Panin, 2018).\u003c/p\u003e\n\u003cp\u003eWe employed two primary tools: a structured questionnaire based on the Mind Content Model (MCM) and semi-structured focus group protocols. The MCM instrument, validated through Delphi techniques with 15 environmental psychologists, featured 45 items measuring risk behavior frequency (5-point Likert scales), hazard awareness, and behavioral intentions. Pilot testing with 50 students confirmed reliability, with Cronbach\u0026rsquo;s alpha scores of 0.92 for risk behavior scales and 0.87 for normative beliefs. Focus groups included photovoice exercises documenting campus hazards, scenario simulations for hazard response strategies, and cognitive mapping of risk pathways (Nunoo et al., 2025).\u003c/p\u003e\n\u003cp\u003eThe analytical framework integrated hierarchization matrix analysis, behavioral risk modeling, and methodological triangulation. The hierarchization matrix, adapted from industrial ecology, scored sensitivity (susceptibility to disruption) and affecting potential (influence on system stability). Students emerged as the most sensitive element (4.6 \u0026plusmn; 0.2), while administrators were the most affecting (4.8 \u0026plusmn; 0.3). This analysis incorporated documentary reviews, stakeholder workshops, and spatial audits (Nunoo, Twum, \u0026amp; Panin, 2018).\u003c/p\u003e\n\u003cp\u003eRisk quantification utilized the environmental risk equation (Erk = Po \u0026times; Sd), where probability of occurrence was calculated through behavior frequency ratios and contextual modifiers, and severity of damage incorporated WHO Disability-Adjusted Life Year (DALY) weights localized to Ghanaian conditions (WHO, 2022). Parameters were grounded in KNUST\u0026rsquo;s 2016 fire incident data. Triangulation through joint display analysis mapped survey data against thematic clusters, validated behavior-hazard correlations with chi-square tests, and employed participatory member-checking with student co-researchers.\u003c/p\u003e\n\u003cp\u003eEthical approval was obtained from Central University\u0026rsquo;s Institutional Review Board. Protocols included verbal reaffirmation of consent, data pseudonymization, and counseling referrals for substance abuse disclosures. Researchers acknowledged their positionality as Ghanaian scholars, leveraging cultural fluency to interpret fatalistic narratives and mitigate power imbalances through co-analysis workshops. The methodology maintained decolonial integrity by centering local epistemologies and rejecting deficit framing of student behaviors.\u003c/p\u003e\n\u003cp\u003eThis innovative approach advances three key contributions: 1) contextual adaptation of the MCM to Ghanaian cognitive schemas, 2) calibration of DALY metrics to resource-constrained contexts, and 3) ethical validation through positionality-aware protocols. The framework offers a replicable, culturally responsive model for higher education risk assessments across the Global South while demonstrating theoretical and operational coherence.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eThe investigation exposes critical environmental hazard vulnerabilities within Ghanaian higher education institutions, revealing behaviors and systemic issues that amplify risk exposure. Quantitative analysis highlights concerning behaviors: 68% of students engage in high-risk practices, including substance use (26%), unprotected casual sexual relationships (24%), and pornography consumption (49%). Environmental mismanagement is prevalent, with 86% of students improperly disposing of waste, leading to contamination, and 78% contributing to noise pollution. These behaviors directly undermine safety, as shown by risk models. For instance, blocked emergency exits from waste accumulation and impaired cognition due to substance use resulted in a 4.5 high-risk score in a fire simulation (Nunoo, 2018).\u003c/p\u003e\n\u003cp\u003eThe findings go beyond individual behaviors, pointing to systemic drivers of risk normalization. Students perceive hazardous practices as culturally embedded, while gendered roles and regional disparities exacerbate vulnerabilities. Female students disproportionately manage sanitation tasks, and coastal campuses exhibit 39% lower flood preparedness compared to inland institutions. Although 89% of students possess theoretical hazard knowledge, only 14% consistently translate this into action, such as recycling (Amaoh et al., 2020). Participatory mapping further revealed a disconnect between knowledge and behavior, with students engaging in risky activities within identified hazard zones.\u003c/p\u003e\n\u003cp\u003eThese insights underscore the need for trans-disciplinary approaches to reframe risk culture on campuses. By addressing behavioral, psychosocial, and systemic factors, stakeholders can foster safer, more resilient campus ecosystems, reducing harm and advancing sustainable practices (Yeboah, Safo, \u0026amp; Nunoo, 2021).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eImplications\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe outcome of the project underscores the urgent need for multi-tiered interventions to address environmental hazards within Ghana\u0026rsquo;s higher education institutions, offering lessons with wider applicability across sub-Saharan Africa. University administrators must adopt Environmental Management Systems (EMS), integrating real-time hazard reporting and behavior modification frameworks like the Mind Content Model. Spatial restructuring, such as relocating waste bins from lecture hall exits, could mitigate fire risks, as validated by risk modeling (Yeboah, Safo \u0026amp; Nunoo, 2021). National policymakers should institutionalize behavioral risk audits within the Tertiary Education Policy Framework, linking safety standards and infrastructure funding to risk scores (Erk \u0026gt; 4.0), with targeted investments in Northern institutions to address critical vulnerabilities like inadequate waste management (Nunoo, 2018).\u003c/p\u003e\n\u003cp\u003ePublic health stakeholders, in collaboration with student organizations, should scale peer-led interventions, such as substance abuse programs, which have reduced high-risk behaviors by 31% (GSS \u0026amp; ICF, 2023). Ethical, participatory approaches are essential: initiatives like Central University\u0026rsquo;s co-managed waste program, which improved compliance by 53%, demonstrate the potential of \u0026quot;safety citizenship\u0026quot; models. Joint safety councils with student and administrator representation should be prioritized, particularly in flood-prone campuses like UCC, where community-driven early warning systems outperformed technocratic solutions by 40% (Nunoo, Twum \u0026amp; Panin, 2018).\u003c/p\u003e\n\u003cp\u003eThese findings have broader regional relevance. Nigeria\u0026rsquo;s universities could adopt behavioral risk matrices for safety certification, while Kenya might incorporate scenario modeling into disaster preparedness curricula. The research reframes environmental health as a shared social contract, emphasizing the integration of behavioral accountability and institutional responsibility to build safer, more resilient academic ecosystems. Further work could explore trans-disciplinary collaborations to scale these solutions regionally.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eCRediT authorship contribution statement\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEdward Kweku Nunoo: Conceptualization, Methodology, Writing –original draft, Writing – review \u0026amp; editing, Supervision, Resources, Project administration, Eric Twum: Writing – original draft, Validation, Supervision. Emmanuel Amankwa: Visualization, Software, Methodology, Data curation, Formal analysis, Conceptualization. Philomina Kwabena: Writing – review \u0026amp; editing, Project administration.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics statements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was conducted in accordance with ethical guidelines and principles for research\u003c/p\u003e\n\u003cp\u003einvolving human participants and the use of secondary data. It adhered to the ethical standards outlined by the Declaration of Helsinki and adhered to the ethical policies of Societal\u003c/p\u003e\n\u003cp\u003eImpact.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of Competing Interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe Authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAmoah, A. D., et al. (2020). Waste management in Ghanaian universities. \u003cem\u003eJournal of Environmental Management, 45\u003c/em\u003e(2), 112\u0026ndash;125.\u003c/li\u003e\n\u003cli\u003eGhana Statistical Service (GSS) and ICF. (2023). \u003cem\u003eGhana Demographic and Health Survey 2022: Summary Report\u003c/em\u003e. Accra, Ghana, and Rockville, Maryland, USA: GSS and ICF.\u003c/li\u003e\n\u003cli\u003eIrwin, A. (1995). \u003cem\u003eCitizen science: A study of people, expertise, and sustainable development\u003c/em\u003e. Routledge.\u003c/li\u003e\n\u003cli\u003eNunoo, E. K. (2018). Sustainable waste management systems in higher institutions: Overview and advances in Central University Miotso, Ghana. In Filho, W. L., \u0026amp; Mifsud, M. (Eds.), \u003cem\u003eEncyclopedia of sustainability in higher education\u003c/em\u003e (pp. 1876\u0026ndash;1884). Springer. https://doi.org/10.1007/978-3-030-11352-0_81\u003c/li\u003e\n\u003cli\u003eNunoo, E. K., Lockner, E., Amankwah, E., et al. (2025). Safety preparedness in the oil and gas industry: A psychological assessment of factors affecting employee intentions and behaviors towards emergency response. \u003cem\u003ePreprints\u003c/em\u003e. https://doi.org/10.20944/preprints202503.1703.v1\u003c/li\u003e\n\u003cli\u003eNunoo, E. K., Panin, A., \u0026amp; Essien, B. (2020). An assessment of perceived participatory climate change adaptation initiatives in Ghana. \u003cem\u003eManagement of Environmental Quality, 32\u003c/em\u003e(2), 260\u0026ndash;276. https://doi.org/10.1108/MEQ-05-2020-0096\u003c/li\u003e\n\u003cli\u003eNunoo, E. K., Twum, E., \u0026amp; Panin, A. (2018). Assessment of students\u0026apos; behavioral risk to environmental hazards in academic institutions in Ghana. \u003cem\u003eJournal of Environmental Research, 2\u003c/em\u003e(2), 4. http://www.imedpub.com/journal-environmental-research/\u003c/li\u003e\n\u003cli\u003eSaaka, S. A., Antabe, R., \u0026amp; Luginaah, I. (2025). Correlates of HIV testing among men in Ghana: Cross-sectional analysis of the 2022 demographic and health survey. \u003cem\u003eInternational Journal of STD \u0026amp; AIDS, 36\u003c/em\u003e(6), 487\u0026ndash;497. https://doi.org/10.1177/09564624251324976\u003c/li\u003e\n\u003cli\u003eSlovic, P. (2016). The perception of risk. In P. Slovic (Ed.), \u003cem\u003eThe perception of risk\u003c/em\u003e. Cambridge University Press. https://doi.org/10.1017/CBO9781316422250.040\u003c/li\u003e\n\u003cli\u003eWorld Health Organization (WHO). (2022). \u003cem\u003eHealth-promoting universities: Concept, framework and indicators.\u003c/em\u003e Geneva: WHO Press.\u003c/li\u003e\n\u003cli\u003eYeboah, E., Sarfo, I., Nunoo, E. K., Kudoh, V., Shang, N., Addai, F. K., Amankwah, S. O. Y., \u0026amp; Kedjanyi, E. A. G. (2021). GIS-based emergency fire response for minimization of fire outbreaks in the Greater Accra Metropolis, Ghana. \u003cem\u003eJournal of Geography, Environment and Earth Science International, 25\u003c/em\u003e(5), 30\u0026ndash;45. https://doi.org/10.9734/jgeesi/2021/v25i530286\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"University ofCape Coast, Ghana.","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Behavioral risk, Environmental hazard, Safety culture, Higher education, Risk modeling, Ghana","lastPublishedDoi":"10.21203/rs.3.rs-7518964/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7518964/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study investigates the social and environmental consequences of student behaviors that predispose them to environmental health risks in Ghanaian higher educational institutions (HEIs). Using a risk assessment model and hierarchization matrix analysis, the project identified students as the most sensitive human element in the academic environmental management system (AEMS), while university administrators emerged as the most affecting. Risk scenarios were modeled to assess the likelihood and severity of harm. Results revealed students (68%) consistently engage in behaviors that heighten exposure to environmental hazards. The findings highlight the urgent need for safety culture reforms in universities and suggest the adoption of Environmental Management Systems (EMS) to institutionalize hazard mitigation. This paper presents the study\u0026rsquo;s social impact, methodology, and broader implications for environmental and public health management in HEIs.\u003c/p\u003e","manuscriptTitle":"Societal Impact of Behavioral Risk to Environmental Hazards in HEI","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-04 07:57:19","doi":"10.21203/rs.3.rs-7518964/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"7fddfd8c-4e81-4f2c-ab0e-0320e075fda2","owner":[],"postedDate":"September 4th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":54077933,"name":"Environmental Policy"}],"tags":[],"updatedAt":"2025-09-04T07:57:19+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-04 07:57:19","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7518964","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7518964","identity":"rs-7518964","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}