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Larissa Larsen

Researcher at University of Michigan

Publications -  41
Citations -  3340

Larissa Larsen is an academic researcher from University of Michigan. The author has contributed to research in topics: Urban heat island & Climate change. The author has an hindex of 18, co-authored 38 publications receiving 2841 citations. Previous affiliations of Larissa Larsen include Virginia Tech College of Natural Resources and Environment.

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Neighborhood microclimates and vulnerability to heat stress

TL;DR: Examination of heat-related health inequalities within one city in Phoenix, USA found people in warmer neighborhoods were more vulnerable to heat exposure because they had fewer social and material resources to cope with extreme heat.
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Regional relationships between surface temperature, vegetation, and human settlement in a rapidly urbanizing ecosystem

TL;DR: In this article, the authors identified the relationship between surface temperature, one component of regional climate, vegetation, and human settlement patterns in the Phoenix, AZ, USA region and found substantial surface temperature differences within the city that correlate primarily with an index of vegetation cover.
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Bonding and Bridging: Understanding the Relationship between Social Capital and Civic Action

TL;DR: In this paper, the authors investigated the relationship between social connections and collective civic action and found that individuals with strong social bonding (i.e., association and trust among neighbors) are more likely to take civic action.
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How factors of land use/land cover, building configuration, and adjacent heat sources and sinks explain Urban Heat Islands in Chicago

TL;DR: In this paper, the authors collected air temperature measurements within an urban block in each neighborhood during the summer of 2010 and found that the urban block's percentages of impervious surface and tree canopy explained 91% of the variation in air temperature.
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Desert dreamscapes: Residential landscape preference and behavior

TL;DR: Kirby et al. as discussed by the authors used a multinomial logistic regression model to predict front-yard landscape preference with the independent variables income, length of residence in the Phoenix area, degree of environmental concern and engagement in desert recreational activities.