Document Type
Article
Publication Date
2023
DOI
10.1016/j.ecolmodel.2023.110445
Publication Title
Ecological Modelling
Volume
483
Pages
110445 (1-14)
Abstract
Prolonged exposure to extreme heat can result in illness and death. In urban areas of dense concentrations of pavement, buildings, and other surfaces that absorb and retain heat, extreme heat conditions can arise regularly and create harmful environmental exposures for residents daily during certain parts of the year. Tree canopies provide shade and help to cool the environment, making mature trees with large canopies a simple and effective way to reduce urban heat. We develop a demographically representative 1 (agent): 1 (person) agent-based model to understand the extent to which different demographics of residents in Norfolk, VA are equitably shaded from extreme heat conditions during a walk on a clear summer day. We use the model to assess the extent to which the city's Tree Planting Plan will be effective in remediating any existing inequities. Our results show that inequitable conditions exist for residents (1) at different education levels, (2) at different income levels and, (3) living in different census tracts. Norfolk's Tree Planting Program effectively reduces the distance residents of all demographics walk in extreme heat. However, residents of the city at lower income levels still experience statistically significantly more extreme heat exposure due to a lack of tree canopies in summer months than those at higher income levels.
Rights
© The Authors
Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Data Availability
Article states: Our data is publicly accessible on the following Mendeley Data webpage: https://data.mendeley.com/datasets/n4wyrj86vy.
Original Publication Citation
Zamponi, V., Obrien, K., Jensen, E., Feldhaus, B., Moore, R., Lynch, C. J., & Gore, R. (2023). Understanding and assessing demographic (in)equity resulting from extreme heat exposure due to lack of tree canopies in Norfolk, VA using agent-based modeling. Ecological Modelling, 483, Article 110445. https://doi.org/10.1016/j.ecolmodel.2023.110445
ORCID
0000-0001-9079-0947 (Zamponi), 0000-0002-4830-7488 (Lynch), 0000-0003-4065-6146 (Gore)
Repository Citation
Zamponi, Virginia; O'Brien, Kevin; Jensen, Erik; Feldhaus, Brandon; Moore, Russell; Lynch, Christopher J.; and Gore, Ross, "Understanding and Assessing Demographic (In)Equity Resulting From Extreme Heat Exposure Due to Lack of Tree Canopies in Norfolk, VA Using Agent-Based Modeling" (2023). VMASC Publications. 85.
https://digitalcommons.odu.edu/vmasc_pubs/85
Included in
Civil and Environmental Engineering Commons, Computer Sciences Commons, Demography, Population, and Ecology Commons, Health Policy Commons