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<div style='margin:0px; padding:0px; clear:both; color:rgb(0, 0, 0); font-family:"Segoe UI", "Segoe UI Web", Arial, Verdana, sans-serif; font-size:12px;'><p style='margin-top:0px; margin-bottom:0px; padding:0px; font-weight:bold; font-kerning:none; background-color:transparent; color:rgb(31, 78, 121);'><br /></p><div style='margin:0px; padding:0px; clear:both;'><p style='margin-top:0px; margin-bottom:0px; padding:0px; font-weight:bold; font-kerning:none; background-color:transparent; color:rgb(31, 78, 121);'><span style='margin:0px; padding:0px; font-size:14pt; font-family:"Tw Cen MT", "Tw Cen MT_EmbeddedFont", "Tw Cen MT_MSFontService", sans-serif; font-variant-ligatures:none !important;'><span style='margin:0px; padding:0px; color:rgb(0, 0, 0); font-weight:400; text-align:justify; font-size:12pt;'><span style='margin:0px; padding:0px;'>The </span><span style='margin:0px; padding:0px;'>M</span><span style='margin:0px; padding:0px;'>etropolitan Area Planning </span><span style='margin:0px; padding:0px;'>Council</span><span style='margin:0px; padding:0px;'> (M</span><span style='margin:0px; padding:0px;'>APC</span><span style='margin:0px; padding:0px;'>)</span><span style='margin:0px; padding:0px;'> published in 2019 a </span></span><a href='https://climate-vulnerability.mapc.org/' target='_blank' rel='nofollow ugc noopener noreferrer'>Climate Vulnerability Index</a><span style='margin:0px; padding:0px; font-weight:400; text-align:justify; text-decoration-line:underline; color:rgb(5, 99, 193); font-size:9.5pt;'><span style='margin:0px; padding:0px; background-color:inherit;'>1</span></span><span style='margin:0px; padding:0px; color:rgb(0, 0, 0); font-weight:400; text-align:justify; font-size:12pt;'><span style='margin:0px; padding:0px;'> </span><span style='margin:0px; padding:0px;'>for the</span><span style='margin:0px; padding:0px;'> MAPC </span><span style='margin:0px; padding:0px;'>region that</span><span style='margin:0px; padding:0px;'> explored the many factors that contribute to a neighborhood’s vulnerability to extreme weather events precipitated by climate change, including heat, flooding, and storm surge events. The heat vulnerability index from that work is the basis for this Massachusetts statewide heat vulnerability index. Research shows that there are three dimensions contributing to vulnerability to extreme weather events: (1) exposure, that is exposure to an extreme element—in this case heat; (2) </span><span style='margin:0px; padding:0px;'>sensitivity</span><span style='margin:0px; padding:0px;'>,</span><span style='margin:0px; padding:0px;'> that is the predisposition to adverse health in the event of exposure; and (3) adaptive capacity, that is the ability to get out of harm’s way of the exposure, adjust to changes, or regroup and rebuild after exposure. These three dimensions combined determine an </span><span style='margin:0px; padding:0px; background-repeat:repeat-x; background-position:left bottom; background-image:var(--urlContextualSpellingAndGrammarErrorV2,url("data:image/svg+xml;base64,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")); border-bottom:1px solid transparent;'>individual’s</span><span style='margin:0px; padding:0px;'>, or in this case, neighborhood’s, overall vulnerability. To develop this heat vulnerability index, we gathered data on indicators identified through a literature review to contribute to each of these three dimensions of heat vulnerability. We constructed these indicators into a heat vulnerability index using min-max normalization and arithmetic mean methods, as described below. The methods used to create this statewide heat vulnerability index were adapted from MAPC’s 2019 product; see its </span></span><a href='https://climate-vulnerability.mapc.org/assets/data/MAPC_ClimateVulnerability_Technical-Documentation_2019-12-10.pdf' target='_blank' rel='nofollow ugc noopener noreferrer'>technical documentation</a><span style='margin:0px; padding:0px; font-weight:400; text-align:justify; text-decoration-line:underline; color:rgb(5, 99, 193); font-size:9.5pt;'><span style='margin:0px; padding:0px; background-color:inherit;'>2</span></span><span style='margin:0px; padding:0px; color:rgb(0, 0, 0); font-weight:400; text-align:justify; font-size:12pt;'><span style='margin:0px; padding:0px;'>.</span></span><span style='margin:0px; padding:0px; color:rgb(0, 0, 0); font-variant-ligatures:normal; font-weight:400; text-align:justify; font-size:12pt;'> </span><br /></span></p><p style='margin-top:0px; margin-bottom:0px; padding:0px; font-weight:bold; font-kerning:none; background-color:transparent; color:rgb(31, 78, 121);'><br /></p></div><div style='margin:0px; padding:0px; clear:both;'><div style='margin:2px 0px; padding:0px;'><div style='margin:0px; padding:0px; clear:both;'><div style='margin:2px 0px; padding:0px;'><br /></div><div style='margin:2px 0px; padding:0px;'><div style='margin:0px; padding:0px; clear:both;'><p style='margin-top:0px; margin-bottom:0px; padding:0px; font-weight:bold; font-kerning:none; background-color:transparent; color:rgb(31, 78, 121);'><br /></p></div></div></div></div></div></div>
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