To　forecast　how　the　rail　transit　construction　affects　the　residential　location　choice,　a　customer　surplus　model　by　considering　residents＇　salary　level,　transportation　accessibility,　and　housing　price　was　established,　and　a　residential　location　logit　choice　model　was　set　up　to　determine　the　residential　location　distribution　due　to　the　variation　of　traffic　flow　distribution.　By　using　the　combined　model　of　residents＇　residential　location　choice　and　transportation　means　choice,　the　road　traffic　flow　variation　was　firstly　determined,　and　then　the　residential　location　choices　for　residents　with　different　salary　levels　were　obtained,　which　was　caused　by　the　travel　cost　variation　after　rail　transit　operation.　The　secondary　effect　of　housing　price　appreciation　after　rail　transit　construction　on　residents＇　residential　location　choices　was　analyzed.　Based　on　a　mono-centric　city,　10　rail　transit　stations　were　designed　as　research　objectives,　the　variations　of　residential　location　choices　were　calculated　along　10　rail　transit　stations　for　citizens　with　8　kinds　of　salary　classes　after　the　rail　transit　construction　and　the　housing　price　appreciation.　Analysis　result　shows　that　the　residents　move　away　from　the　city　center　after　rail　transit　construction,　although　the　residents　with　lower　salary　are　scarcely　affected　due　to　their　low　value　of　time.　With　the　improvement　of　residential　location　accessibility　along　rail　transit,　the　housing　price　near　the　rail　transit　rises,　i.　e.,　the　housing　price　increases　by　2　619　yuan　per　square　meter　in　the　farthest　residential　location,　and　11.　5　yuan　per　square　meter　in　the　nearest　residential　location.　Simultaneously,　the　residents　with　higher　salary　move　forward　to　the　city　center,　while　the　residents　with　lower　salary　move　away　from　the　city　center.　7　tabs,　6　figs,　25　refs.　©　2017,　Editorial　Department　of　Journal　of　Traffic　and　Transportation　Engineering.　All　right　reserved.