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To address this limitation, we developed a novel matching algorithm to construct a synthetic population at the address\u2010level. To demonstrate how our approach can improve environmental justice (EJ) analyses and health impact assessments (HIAs), we examined sociodemographic patterns of residential proximity to major roadways in Greater Boston (Massachusetts) and HIA results, comparing our method with a random address allocation method. The synthetic population was developed at a census tract\u2010level using US Census microdata and combinatorial optimization methods and then downscaled to address\u2010level parcels by matching building attributes to synthetic households. We designated households within 50\u00a0m of a major road \u201chigh exposure\u201d and households below state median household income \u201clow income\u201d.We found misclassification for individual households (21% of the high exposure\/low\u2010income households in the matched data set were identified as such in the random allocation data set). We found modest aggregate differences in matched allocation (3.3% of low\u2010income households had high exposure) compared to random allocation (3.4%). In a HIA, the difference between random and matched allocation would be stronger when there is a strong interactive effect between a sociodemographic effect modifier and exposure on the outcome. Address\u2010level exposure assignment based on synthetic populations can provide more significant and nuanced health impact and EJ analyses. Our novel method can be applied to other regions of the US and expanded to other dimensions of population vulnerability.<\/jats:p>","DOI":"10.1029\/2025gh001596","type":"journal-article","created":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T04:29:12Z","timestamp":1767587352000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Method for Generating Spatially Resolved Synthetic Populations for Health Impact Assessments in Vulnerable Populations"],"prefix":"10.1029","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9639-7035","authenticated-orcid":false,"given":"Flannery","family":"Black\u2010Ingersoll","sequence":"first","affiliation":[{"name":"Department of Environmental Health Boston University School of Public Health  Boston MA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chad W.","family":"Milando","sequence":"additional","affiliation":[{"name":"Department of Environmental Health Boston University School of Public Health  Boston MA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zachary T.","family":"Popp","sequence":"additional","affiliation":[{"name":"Department of Environmental Health Boston University School of Public Health  Boston MA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mariangel\u00ed","family":"Echevarr\u00eda\u2010Ramos","sequence":"additional","affiliation":[{"name":"Mystic River Watershed Association  Arlington MA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. 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