With　the　development　of　our　country＇s　urbanization,　the　accumulation　of　urban　construction　on　unit　land　is　higher　than　any　former　time.　The　magnification　of　city　disaster　is　more　serious.　On　the　basis　of　analyzing　various　factors,　the　multi-objective　optimization　model　of　urban　earthquake　evacuation　is　established　by　making　the　minimum　evacuation　time,　the　maximum　people　and　the　minimum　crowded　degree　as　the　objective　function　and　using　the　evacuation　distances,　capacity　of　evacuation　sites　and　crowded　degree　as　the　restrictive　conditions.　For　the　effective　and　rapid　solution　of　the　model,　the　fuzzy　set　theory　is　introduced　to　modify　the　model,　and　then　the　Particle　Swarm　Optimization　algorithm　is　used　to　solve　the　problem.　Finally,　a　example　is　analyzed.　It　is　shown　that　the　model　is　more　rational　and　the　results　are　more　credible.　The　paper　provides　a　new　approach　to　reasonably　allocate　urban　disaster　prevention　space.