References
- 1Abbasabadi, N., Ashayeri, M., Azari, R., Stephens, B., & Heidarinejad, M. (2019). An integrated data-driven framework for urban energy use modeling (UEUM). Applied Energy, 253,
113550 . DOI: 10.1016/j.apenergy.2019.113550 - 2Adger, W. N. (2003). Social capital, collective action, and adaptation to climate change. Economic Geography, 79(4), 387–404. DOI: 10.1111/j.1944-8287.2003.tb00220.x
- 3Aldrich, D. P., & Meyer, M. A. (2015). Social capital and community resilience. American Behavioral Scientist, 59(2), 254–269. DOI: 10.1177/0002764214550299
- 4Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998).
Crop evapotranspiration—Guidelines for computing crop water requirements FAO Irrigation and Drainage Paper 56 , 300(9),D05109 . Food and Agriculture Organization of the United Nations (FAO). - 5Anderson, J. E., Wulfhorst, G., & Lang, W. (2015). Energy analysis of the built environment—A review and outlook. Renewable and Sustainable Energy Reviews, 44, 149–158. DOI: 10.1016/j.rser.2014.12.027
- 6ASHRAE. (1989). ASHRAE Standard 90.1.1989: Energy efficient design of new buildings except low-rise residential buildings. American Society of Heating, Refrigerating and Air Conditioning Engineers.
- 7ASHRAE. (2009). ASHRAE Climatic Design Conditions 2009/2013/2017: Des Moines Int AP, IA, USA (WMO: 725460). 2009 ASHRAE Handbook—Fundamentals (SI). American Society of Heating, Refrigerating and Air Conditioning Engineers. Retrieved from
http://ashrae-meteo.info/v2.0/?lat=41.54&lng=-93.67&place=%27%27&wmo=725460 - 8ASHRAE. (2019). 2019 ASHRAE handbook. American Society of Heating, Refrigerating and Air Conditioning Engineers.
- 9Ashwill, M., Flora, C., & Flora, J. (2011). Building community resilience to climate change: Testing the Adaptation Coalition Framework in Latin America. World Bank.
- 10Bolin, B., & Kurtz, L. C. (2018).
Race, class, ethnicity, and disaster vulnerability . In H. Rodríguez, W. Donner & J. E. Trainor (Eds.), Handbook of disaster research (pp. 181–203). Springer. DOI: 10.1007/978-3-319-63254-4_10 - 11Bulkeley, H., Carmin, J., Broto, V. C., Edwards, G. A., & Fuller, S. (2013). Climate justice and global cities: Mapping the emerging discourses. Global Environmental Change, 23(5), 914–925. DOI: 10.1016/j.gloenvcha.2013.05.010
- 12Carmin, J., Nadkarni, N., & Rhie, C. (2012). Progress and challenges in urban climate adaptation planning: Results of a global survey. Massachusetts Institute of Technology.
- 13Cerezo, C., Dogan, T., & Reinhart, C. (2014, September). Towards standardized building properties template files for early design energy model generation. In Proceedings of the ASHRAE/IBPSA-USA Building Simulation Conference (pp. 25–32).
ASHRAE . - 14Cetin, K. S., & Novoselac, A. (2015). Single and multi-family residential central all-air HVAC system operational characteristics in cooling-dominated climate. Energy and Buildings, 96, 210–220. DOI: 10.1016/j.enbuild.2015.03.039
- 15Chatterton, P., Featherstone, D., & Routledge, P. (2013). Articulating climate justice in Copenhagen: Antagonism, the commons, and solidarity. Antipode, 45(3), 602–620. DOI: 10.1111/j.1467-8330.2012.01025.x
- 16Chen, Y., & Hong, T. (2018). Impacts of building geometry modeling methods on the simulation results of urban building energy models. Applied Energy, 215, 717–735. DOI: 10.1016/j.apenergy.2018.02.073
- 17Choudhary, E., & Vaidyanathan, A. (2014). Heat stress illness hospitalizations—Environmental public health tracking program, 20 states, 2001–2010. Morbidity and Mortality Weekly Report: Surveillance Summaries, 63(13), 1–10.
- 18Climate Central. (2014). Hot and getting hotter: Heat islands cooking U.S. cities. Climate Central. Retrieved from
https://www.climatecentral.org/news/urban-heat-islands-threaten-us-health-17919 - 19Coaffee, J., Therrien, M. C., Chelleri, L., Henstra, D., & Aldrich, D. P. (2018). Urban resilience implementation: A policy challenge and research agenda for the 21st century. Journal of Contingencies and Crisis Management, 26(3), 403–410. DOI: 10.1111/1468-5973.12233
- 20Davis, A. Y., Jung, J., Pijanowski, B. C., & Minor, E. S. (2016). Combined vegetation volume and ‘greenness’ affect urban air temperature. Applied Geography, 71, 106–114. DOI: 10.1016/j.apgeog.2016.04.010
- 21Des Moines Register. (n.d.). Database: Residential electricity rates by Iowa utility. Retrieved from
https://db.desmoinesregister.com/residential-electricity-rates-by-iowa-utility - 22Dong, B., Andrews, B., Lam, K. P., Höynck, M., Zhang, R., Chiou, Y. S., & Benitez, D. (2010). An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network. Energy and Buildings, 42(7), 1038–1046. DOI: 10.1016/j.enbuild.2010.01.016
- 23Drehobl, A., & Ross, L. (2016). Lifting the high energy burden in America’s largest cities: How energy efficiency can improve low-income and underserved communities. American Council for an Energy Efficient Economy (ACEEE). Retrieved from
https://www.aceee.org/research-report/u1602 - 24EIA. (2011). Air conditioning in nearly 100 million US homes. US Energy Information Administration.
- 25EIA. (n.d. a). Iowa price of natural gas delivered to residential consumers. US Energy Information Administration
- 26EIA. (n.d. b). National Solar Radiation Database (NSRDB). US Energy Information Administration. Retrieved from
https://nsrdb.nrel.gov/ - 27Emery, M., & Flora, C. (2006). Spiraling-up: Mapping community transformation with community capitals framework. Community Development, 37(1), 19–35. DOI: 10.1080/15575330609490152
- 28EnergyPlus. (n.d.) Weather Data Download—Des Moines Intl AP 725460 (TMY3). EnergyPlus.
- 29Erell, E., & Williamson, T. (2006). Simulating air temperature in an urban street canyon in all weather conditions using measured data at a reference meteorological station. International Journal of Climatology: A Journal of the Royal Meteorological Society, 26(12), 1671–1694. DOI: 10.1002/joc.1328
- 30Few, R., Brown, K., & Tompkins, E. L. (2007). Public participation and climate change adaptation: Avoiding the illusion of inclusion. Climate Policy, 7(1), 46–59. DOI: 10.1080/14693062.2007.9685637
- 31FAO. (n.d.). ETo calculator. Food and Agriculture Organization of the United Nations. Retrieved from
http://www.fao.org/land-water/databases-and-software/eto-calculator/en/ - 32Forsyth, T. (2013). Community-based adaptation: A review of past and future challenges. Wiley Interdisciplinary Reviews: Climate Change, 4(5), 439–446. DOI: 10.1002/wcc.231
- 33Haight, M., Quan-Haase, A., & Corbett, B. A. (2014). Revisiting the digital divide in Canada: The impact of demographic factors on access to the internet, level of online activity, and social networking site usage. Information, Communication & Society, 17(4), 503–519. DOI: 10.1080/1369118X.2014.891633
- 34Hashemi, F., Marmur, B., Passe, U., & Thompson, J. (2018). Developing a workflow to integrate tree inventory data into urban energy models. In Proceedings of the Symposium on Simulation for Architecture and Urban Design,
Society for Computer Simulation International , 34. - 35Hong, T., Taylor-Lange, S. C., D’Oca, S., Yan, D., & Corgnati, S. P. (2016). Advances in research and applications of energy-related occupant behavior in buildings. Energy and Buildings, 116, 694–702. DOI: 10.1016/j.enbuild.2015.11.052
- 36Huang, W., Krejci, C. C., Dorneich, M. C., Passe, U., Shenk, L., & Stonewall, J. (2019).
Analyzing residential weatherization decisions using hybrid simulation modeling . In Building simulation, 12(3) 517–534. Tsinghua University Press. DOI: 10.1007/s12273-019-0518-4 - 37Jacklitsch, B., Williams, W. J., Musolin, K., Coca, A., Kim, J.-H., & Turner, N. (2016). NIOSH criteria for a recommended standard: occupational exposure to heat and hot environments (DHHS (NIOSH) Publ. 2016–106). US Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health (NIOSH).
- 38Jagani, C., & Passe, U. (2017). Simulation-based sensitivity analysis of future climate scenario impact on residential weatherization initiatives in the US Midwest. In Proceedings of the Symposium on Simulation for Architecture and Urban Design.
Society for Computer Simulation International , 38. - 39Kais, S. M., & Islam, Md. S. (2016). Community capitals as community resilience to climate change: Conceptual connections. International Journal of Environmental Research and Public Health, 13(12), art. 1211. DOI: 10.3390/ijerph13121211
- 40Kalvelage, K., Passe, U., Rabideau, S., & Takle, E. S. (2014). Changing climate: The effects on energy demand and human comfort. Energy and Buildings, 76: 373–380. DOI: 10.1016/j.enbuild.2014.03.009
- 41Kaplan, S., Peeters, A., & Erell, E. (2016). Predicting air temperature simultaneously for multiple locations in an urban environment: A bottom up approach. Applied Geography, 76, 62–74. DOI: 10.1016/j.apgeog.2016.09.015
- 42Klinenberg, E. (2015). Heat wave: A social autopsy of disaster in Chicago. University of Chicago Press. DOI: 10.7208/chicago/9780226276212.001.0001
- 43Kontokosta, C. E., Reina, V. J., & Bonczak, B. (2020). Energy cost burdens for low-income and minority households: Evidence from energy benchmarking and audit data in five US cities. Journal of the American Planning Association, 86(1), 89–105. DOI: 10.1080/01944363.2019.1647446
- 44Kuras, E. R., Richardson, M. B., Calkins, M. M., Ebi, K. L., Hess, J. J., Kintziger, K. W., Jagger, M. A., Middel, A., Scott, A. A., Spector, J. T., Uejio, C. K., Vanos, J. K., Zaitchik, B. F., Gohlke, J. M., & Hondula, D. M. (2017). Opportunities and challenges for personal heat exposure research. Environmental Health Perspectives, 125(8),
085001 . DOI: 10.1289/EHP556 - 45Lasker, R. D., & Guidry, J. A. (2008). Engaging the community in decision making: Case studies tracking participation, voice and influence. McFarland.
- 46Li, X., Zhou, Y., Asrar, G. R., & Zhu, Z. (2018a). Creating a seamless 1 km resolution daily land surface temperature dataset for urban and surrounding areas in the conterminous United States. Remote Sensing of Environment, 206, 84–97. DOI: 10.1016/j.rse.2017.12.010
- 47Li, X., Zhou, Y., Asrar, G. R., & Zhu, Z. (2018b). Developing a 1 km resolution daily air temperature dataset for urban and surrounding areas in the conterminous United States. Remote Sensing of Environment, 215, 74–84. DOI: 10.1016/j.rse.2018.05.034
- 48Magis, K. (2010). Community resilience: An indicator of social sustainability. Society and Natural Resources, 23(5), 401–416. DOI: 10.1080/08941920903305674
- 49Malekpour Koupaei, D., Hashemi, F., Tabard-Fortecoëf, V., & Passe, U. (2019). Development of a modeling framework for refined residential occupancy schedules in an urban energy model. In Building simulation 2019: 16th Conference of International Building Performance Simulation Association (IBPSA) (pp. 3377–3384).
- 50McNeel Europe. (n.d.). MEERKAT GIS. Retrieved from
https://www.food4rhino.com/app/meerkat-gis - 51Melillo, J. M., Richmond, T. T., & Yohe, G. (2014). Climate change impacts in the United States (Third National Climate Assessment, 52). US Global Change Research Program. DOI: 10.7930/J0H41PB6
- 52Mishra, V., & Lettenmaier, D. P. (2011). Climatic trends in major US urban areas, 1950–2009. Geophysical Research Letters, 38(16). DOI: 10.1029/2011GL048255
- 53MIT Sustainable Design Lab. (2017). Life cycle—Data inputs. MIT Sustainable Design Lab.
- 54MIT Sustainable Design Lab. (n.d.) Urban modeling interface (Umi). Retrieved from
http://web.mit.edu/sustainabledesignlab/projects/umi/index.html - 55Mitchell, B. C., & Chakraborty, J. (2014). Urban heat and climate justice: A landscape of thermal inequity in Pinellas County, Florida. Geographical Review, 104(4), 459–480. DOI: 10.1111/j.1931-0846.2014.12039.x
- 56Mitchell, B. C., & Chakraborty, J. (2018). Exploring the relationship between residential segregation and thermal inequity in 20 US cities. Local Environment, 23(8), 796–813. DOI: 10.1080/13549839.2018.1474861
- 57Moonen, P., Defraeye, T., Dorer, V., Blocken, B., & Carmeliet, J. (2012). Urban physics: Effect of the micro-climate on comfort, health and energy demand. Frontiers of Architectural Research, 1(3), 197–228. DOI: 10.1016/j.foar.2012.05.002
- 58NOAA. (n.d.). Weather related fatality and injury statistics. National Oceanic and Atmospheric Administration. Retrieved from
https://www.weather.gov/hazstat/ - 59Patton, S. (2013).
Development of a future typical meteorological year with application to building energy use (MSc thesis, Iowa State University, Ames). - 60Patton, S. L., Takle, E. S., Passe, U., & Kalvelage, K. (2013). Use of NARCCAP model projections to develop a future typical meteorological year and estimate the impact of a changing climate on building energy consumption. In AGU Fall Meeting Abstracts.
- 61PCHD. (2015). Polk County Assessor. Polk County Health Department. Retrieved from
http://web.assess.co.polk.ia.us/cgi-bin/web/tt/infoqry.cgi?tt=home/index - 62PCHD. (2019). Comparative GIS map analysis indicating central air-conditioning availability in Polk County. Polk County Health Department. Retrieved August 18, 2019, from
https://www.arcgis.com/apps/CompareAnalysis/index.html?appid=84e321fc79d244f7bce8070c862a47cd - 63Poplin, A., Shenk, L., Krejci, C., & Passe, U. (2017). Engaging youth through spatial socio-technical storytelling, participatory GIS, agent-based modeling, online geogames and action projects. International Society for Photogrammetry and Remote Sensing, IV-4/W3, 55–62. DOI: 10.5194/isprs-annals-IV-4-W3-55-2017
- 64Rabideau, S. L., Passe, U., & Takle, E. S. (2012). Exploring alternatives to the ‘typical meteorological year’ for incorporating climate change into building design. ASHRAE Transactions, 118(1), 384–391.
- 65Reinhart, C., Dogan, T., Jakubiec, J. A., Rakha, T., & Sang, A. (2013, August). Umi—An urban simulation environment for building energy use, daylighting and walkability. In 13th Conference of International Building Performance Simulation Association, Chambery, France, 1, 476–483.
- 66Reinhart, C. F., & Davila, C. C. (2016). Urban building energy modeling—A review of a nascent field. Building and Environment, 97, 196–202. DOI: 10.1016/j.buildenv.2015.12.001
- 67Rice, J. L., Cohen, D. A., Long, J., & Jurjevich, J. R. (2020). Contradictions of the climate-friendly city: New perspectives on eco-gentrification and housing justice. International Journal of Urban and Regional Research, 44(1), 145–165. DOI: 10.1111/1468-2427.12740
- 68Schwarz, K., Fragkias, M., Boone, C. G., Zhou, W., McHale, M., & Grove, J. M. (2015). Trees grow on money: Urban tree canopy cover and environmental justice. PLOS ONE, 10(4), 1–17. DOI: 10.1371/journal.pone.0122051
- 69Shenk, L., Krejci, C., & Passe, U. (2019). Agents of change—Together: Using agent-based models to inspire social capital building for resilient communities. Community Development, 50(2), 256–272. DOI: 10.1080/15575330.2019.1574849
- 70Shi, L., Chu, E., Anguelovski, I., Aylett, A., Debats, J., Goh, K., Schenk, T., Dodman, D., Debra, R., Roberts, T., & Roberts, J. T. (2016). Roadmap towards justice in urban climate adaptation research. Nature Climate Change, 6(2), 131–137. DOI: 10.1038/nclimate2841
- 71Smith, J. W., Anderson, D. H., & Moore, R. L. (2012). Social capital, place meanings, and perceived resilience to climate change. Rural Sociology, 77(3), 380–407. DOI: 10.1111/j.1549-0831.2012.00082.x
- 72Stonewall, J., Fjelstad, K., Dorneich, M., Shenk, L., Krejci, C., & Passe, U. (2017, September). Best practices for engaging underserved populations. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61(1), 130–134.
Sage . DOI: 10.1177/1541931213601516 - 73Stonewall, J., Dorneich, M., Shenk, L., Krejci, C., & Passe, U. (2019).
Inclusive decision-making: Applying human factors methods to capture the needs and voices of marginalized populations . In R. D. Roscoe, E. K. Chiou & A. R. Wooldridge (Eds.), Advancing diversity, inclusion, and social justice through human systems engineering. CRC Press/Taylor & Francis. DOI: 10.1201/9780429425905-2 - 74Tabares-Velasco, P. C., & Srebric, J. (2012). A heat transfer model for assessment of plant based roofing systems in summer conditions. Building and Environment, 49, 310–323. DOI: 10.1016/j.buildenv.2011.07.019
- 75US Bureau of Labor Statistics. (2017). American Time Use Survey. Retrieved from
https://www.bls.gov/tus/ - 76US Census Bureau. (n.d.). Des Moines City.
- 77US Government Publishing Office. (2015). The impacts of EPA’s proposed carbon regulations on electricity costs for American businesses, rural communities and families, and a legislative hearing on S. 1324. Retrieved from
https://www.govinfo.gov/content/pkg/CHRG-114shrg95744/pdf/CHRG-114shrg95744.pdf - 78Wilcox, S., & Marion, W. (2008). User’s manual for tmy3 data sets. (Technical Report NREL/TP-581-43156). National Renewable Energy Laboratory. DOI: 10.2172/928611
- 79Wolf, J., Adger, W. N., Lorenzoni, I., Abrahamson, V., & Raine, R. (2010). Social capital, individual responses to heat waves and climate change adaptation: An empirical study of two UK cities. Global Environmental Change, 20(1), 44–52. DOI: 10.1016/j.gloenvcha.2009.09.004
- 80WRI. (n.d.). Greenhouse gas protocol. World Resources Institute. Retrieved from
https://ghgprotocol.org/Third-Party-Databases/Bath-ICE - 81Yang, X., Zhao, L., Bruse, M., & Meng, Q. (2012). An integrated simulation method for building energy performance assessment in urban environments. Energy and Buildings, 54, 243–251. DOI: 10.1016/j.enbuild.2012.07.042
- 82Zhou, B., Kaplan, S., Peeters, A., Kloog, I., & Erell, E. (2020). ‘Surface,’ ‘satellite’ or ‘simulation’: Mapping intra-urban microclimate variability in a desert city. International Journal of Climatology, 40(6), 3099–3117. DOI: 10.1002/joc.6385
- 83Ziter, C. D., Pedersen, E. J., Kucharik, C. J., & Turner, M. G. (2019). Scale-dependent interactions between tree canopy cover and impervious surfaces reduce daytime urban heat during summer. Proceedings of the National Academy of Sciences, USA, 116(15), 7575–7580. DOI: 10.1073/pnas.1817561116
