Community Resilience to Climate Change: Theory, Research and Practice

154 Figure 2. Catchment areas of public heat refuge access for slow, average, and fast speeds. Table 3. Percentage of the city having access to one or more public heat refuges (cooling centers). Based on the results of covariance analyses, distinct inconsistencies emerge and define disproportionate exposure to high temperatures, and accessibility to CAC and public refuges (Table 4). The figures in this table represent expected changes in the dependent variable for a single-unit increase of the independent variable in question. For example, the −1.515 value between “White” and “UHI” indicates that for a 100% increase in white population, a 1.515 degree Celsius decrease in temperature would be expected. Table 4. Results of covariance analysis: relationship between socio-demographic factors (independent variable), heat exposure, and refuge (dependent variables).