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- ,/(�IEnvironmental Burden liarik..0® Ynrt>a Linda Traffic Proximity(State Percentiles) kh 95-100 percentile er FuOr-rte 90-95 Pe cam,le t 80-90 Percentile _ 50-80 Percentile Le than 50 percentile Data not available What does this mean &L Garden 'f.rF.',tlllih 5 t=r a n 'F• I, Ffl l n tJlri Valley Hunhnj �IVIIIe E—rh -cst.i Llc'n Rancho L,nk Boni: f�r;vprrt forest h.lnri rn . Boarh L a.iur_;+�IIS Figure 2. US EPA Environmental Justice Screening and Mapping Tool, Santa Ana, CA, environmental burden indicator of traffic proximity. The proposed STR could shift visitor accommodations in STRs from lower-burdened, dispersed residential areas to concentrated hotel zones in southeast Santa Ana, where pollution and traffic emission levels are already elevated. This shift in accommodation location could lead to increase vehicular traffic and hotel-generated emissions in an already-concentrated area facing significant air pollution exposure levels and health risks. Furthermore, the construction of more hotels in this area to meet the demands for visitors due to the STR ban could increase emissions from construction and additional operation to an area with higher burden. The relocation of accommodations could further the known pollution contributors to respiratory and cardiovascular health risks in these already overburdened communities. An STR Ban Would Increase Energy Demands Because Hotels Use More Energy Per Person Than STRs The proposed STR ban could cause visitors who would have otherwise stayed in STRs to stay in hotels, which consume more energy per person than STRs. Using CalEEMod, Ramboll modeled the operational GHG emissions of hotels and STRs for comparison. The single-family home CalEEMod land use type was used a surrogate for STR. Assuming an occupancy rate of 3 people per hotel room and 5.6 people per STR, hotels have much higher associated GHG emissions per person. It was found that hotels consume 7/14