Chapter
Jan 25, 2024

Assessing the Vulnerability of Communities Exposed to Climate Change-Related Challenges Caused by the Urban Heat Island Effect Using Machine Learning

Publication: Computing in Civil Engineering 2023

ABSTRACT

Civil infrastructure is a key driver for growth, employment, and better quality of life, which leads to communities transitioning from the natural rural vegetation to urban infrastructure areas. Urbanization exacerbates worrying climate change trends due to man-made activities and increased anthropogenic heat production resulting from urban population growth. This contributes to numerous climate change-related challenges, one of which is the urban heat island (UHI) effect, which affects human health and welfare. While several states in US have experienced high number of heat-related illness cases in the past years, minor research efforts were conducted to determine the areas that are subject to the highest heat-related risks associated with UHI. In relation to that, this paper addresses this knowledge gap by assessing the vulnerability of 95 communities in the state of Tennessee that are exposed to the UHI effect by considering demographic, geographic, climatic, and health factors. To this end, this paper followed an analytical approach based on the integration of unsupervised machine learning algorithms with multiple criteria decision-making methods to cluster or group communities based on 11 UHI-vulnerability-related factors. The results showed that clustering communities based on their vulnerabilities to UHI-related considerations can reveal the most critical geographical areas that are in immediate need to implement strategies that reduce the UHI effect and enhance heat resiliency. Ultimately, this research adds to the body of knowledge by helping states prioritize the design and implementation of optimized urban planning and infrastructure management measures to address UHI and climate change consequences.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Abrar, R., Sarkar, S. K., Nishtha, K. T., Talukdar, S., Rahman, A., Islam, A. R. M. T., and Mosavi, A. (2022). Assessing the spatial mapping of heat vulnerability under urban heat island (UHI) effect in the dhaka metropolitan area. Sustainability, 14(9), 4945.
Aminipouri, M., Knudby, A., and Ho, H. C. (2016). Using multiple disparate data sources to map heat vulnerability: Vancouver case study. The Canadian Geographer/Le Géographe canadien, 60(3), 356–368.
Assaad, R. H., Assaf, G., and Boufadel, M. (2023). Optimizing the maintenance strategies for a network of green infrastructure: An agent-based model for stormwater detention basins. Journal of Environmental Management, 330, 117179.
Assaf, G., and Assaad, R. H. (2023a). Key Decision-Making Factors Influencing Bundling Strategies: Analysis of Bundled Infrastructure Projects. Journal of Infrastructure Systems, 29(2), 04023006.
Assaf, G., and Assaad, R. H. (2023b). Using Data-Driven Feature Engineering Algorithms to Determine the Most Critical Factors Contributing to the Urban Heat Island Effect Associated with Global Warming. Computing in Civil Engineering 2023.
Bao, J., Li, X., and Yu, C. (2015). The construction and validation of the heat vulnerability index, a review. International journal of environmental research and public health, 12(7).
Bullard, M. J., Musgrave, E., Warren, D., Unger, B., Skeldon, T., Grierson, R., and Swain, J. (2017). Revisions to the Canadian emergency department triage and acuity scale (CTAS) guidelines 2016. Canadian Journal of Emergency Medicine, 19(S2), S18–S27.
Cai, C., and Wang, L. (2020). Application of improved k-means k-nearest neighbor algorithm in the movie recommendation system. In 2020 13th International Symposium on Computational Intelligence and Design (ISCID) (pp. 314–317). IEEE.
Chen, K., Zhou, L., Chen, X., Ma, Z., Liu, Y., Huang, L., and Kinney, P. L. (2016). Urbanization level and vulnerability to heat-related mortality in Jiangsu Province, China. Environmental health perspectives, 124(12), 1863–1869.
Eisenman, D. P., Wilhalme, H., Tseng, C. H., Chester, M., English, P., Pincetl, S., and Dhaliwal, S. K. (2016). Heat Death Associations with the built environment, social vulnerability and their interactions with rising temperature. Health & place, 41, 89–99.
EPA. (2022a). Heat Island Cooling Strategies. Accessed March 7, 2023. https://www.epa.gov/heatislands/heat-island-cooling-strategies.
EPA. (2022b). Adapting to Heat. Accessed March 7, 2023. https://www.epa.gov/heatislands/adapting-heat.
Jamei, Y., Rajagopalan, P., and Sun, Q. C. (2019). Spatial structure of surface urban heat island and its relationship with vegetation and built-up areas in Melbourne, Australia. Science of the total environment, 659, 1335–1351.
Jezzini, Y., Assaf, G., and Assaad, R. H. (2023). Models and Methods for Quantifying the Environmental, Economic, and Social Benefits and Challenges of Green Infrastructure: A Critical Review. Sustainability 2023, 15, 7544.
Johnson, D. P., Stanforth, A., Lulla, V., and Luber, G. (2012). Developing an applied extreme heat vulnerability index utilizing socioeconomic and environmental data. Applied Geography, 35(1-2), 23–31.
Knowlton, K., Rotkin-Ellman, M., King, G., Margolis, H. G., Smith, D., Solomon, G., and English, P. (2009). The 2006 California heat wave: impacts on hospitalizations and emergency department visits. Environmental health perspectives, 117(1), 61–67.
Manangan, A. P., Uejio, C. K., Saha, S., Schramm, P. J., Marinucci, G. D., Hess, J. J., and Luber, G. (2015). Assessing health vulnerability to climate change. Cent Dis Control Prev, 1–23.
Mathew, A., Khandelwal, S., and Kaul, N. (2016). Spatial and temporal variations of urban heat island effect and the effect of percentage impervious surface area and elevation on land surface temperature: Study of Chandigarh city, India. Sustainable Cities and Society, 26.
Michael Donoghue, A. (2004). Heat illness in the US mining industry. American journal of industrial medicine, 45(4), 351–356.
Mohammadyan, M., and Sepehr, P. (2010). Design of cool spot and assessment of its effect on WBGT index among furnace workers’ position in Shimi Madani industry in Hamadan. Journal of Mazandaran University of Medical Sciences, 20(76), 2–7.
Qureshi, A. M., and Rachid, A. (2022). Heat vulnerability index mapping: a case study of a medium-sized city (Amiens). Climate, 10(8), 113.
Reid, C. E., Mann, J. K., Alfasso, R., English, P. B., King, G. C., Lincoln, R. A., and Balmes, J. R. (2012). Evaluation of a heat vulnerability index on abnormally hot days: an environmental public health tracking study. Environmental health perspectives, 120(5).
Reid, C. E., O’neill, M. S., Gronlund, C. J., Brines, S. J., Brown, D. G., Diez-Roux, A. V., and Schwartz, J. (2009). Mapping community determinants of heat vulnerability. Environmental health perspectives, 117(11), 1730–1736.
Samuelson, H., Baniassadi, A., Lin, A., González, P. I., Brawley, T., and Narula, T. (2020). Housing as a critical determinant of heat vulnerability and health. Science of the total environment, 720, 137296.
Setiawati, M. D., Jarzebski, M. P., and Fukushi, K. (2022). Extreme heat vulnerability assessment in Indonesia at the provincial level. In IOP Conference Series: Earth and Environmental Science (Vol. 1095, No. 1, p. 012021). IOP Publishing.
Tennessee Demographics. (2022). Tennessee Counties by Population. Accessed on December 23,2022. https://www.tennessee-demographics.com/counties_by_population.
The Sycamore Institute. (2022a). How Uninsured Rates in Tennessee Counties Vary by Employment and Income. Accessed on December 23, 2022. https://www.sycamoreinstitutetn.org/uninsured-rates-in-tennessee-counties/.
The Sycamore Institute. (2022b). Tennessee Health Care Capacity Dashboard. December 23, 2022. https://www.sycamoreinstitutetn.org/tennessee-health-care-capacity-dashboard/.
TN Department of Health. (2022). Heat Related Illness ED Visits Data. Accessed on December 23,2022. https://www.tn.gov/content/tn/health/cedep/environmental/data/healthdata/heat-related-illness/heat-related-illness-ed-visits-data.html.
Tong, S., Prior, J., McGregor, G., Shi, X., and Kinney, P. (2021). Urban heat: an increasing threat to global health. bmj, 375.
Voogt, J. A., and Oke, T. R. (2003). Thermal remote sensing of urban climates. Remote sensing of environment, 86(3), 370–384.
Walton, Z. L., Poudyal, N. C., Hepinstall-Cymerman, J., Gaither, C. J., and Boley, B. B. (2016). Exploring the role of forest resources in reducing community vulnerability to the heat effects of climate change. Forest Policy and Economics, 71, 94–102.
Wong, L. P., Alias, H., Aghamohammadi, N., Aghazadeh, S., and Sulaiman, N. M. N. (2017). Urban heat island experience, control measures and health impact: A survey among working community in the city of Kuala Lumpur. Sustainable cities and society, 35, 660–668.
Yang, W., Xu, K., Lian, J., Ma, C., and Bin, L. (2018). Integrated flood vulnerability assessment approach based on TOPSIS and Shannon entropy methods. Ecological Indicators, 89.
Zhou, W., Shen, X., Cao, F., and Sun, Y. (2019). Effects of area and shape of greenspace on urban cooling in Nanjing, China. Journal of Urban Planning and Development, 145(4).

Information & Authors

Information

Published In

Go to Computing in Civil Engineering 2023
Computing in Civil Engineering 2023
Pages: 177 - 184

History

Published online: Jan 25, 2024

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Ghiwa Assaf [email protected]
1Ph.D. Candidate, John A. Reif, Jr. Dept. of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ. Email: [email protected]
Rayan H. Assaad [email protected]
2Assistant Professor of Construction and Civil Infrastructure and Founding Director of the Smart Construction and Intelligent Infrastructure Systems Lab, Dept. of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$266.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$266.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share