Simultaneous residential location and travel mode choice es-timation around rail transit station based on cross-nested logit model

Residential location and commute choice are jointly related decisions among station-area residents. The impact of rail transit on residential location and commute mode choice was analyzed from a microscopic perspective. On account of the advantages of cross-nested logit model structure to allow capturing the potential spatial correlation between spatially contiguous alternatives, cross-nested logit model was specified to estimate the joint residential location and mode choice around the rail transit stations. Factors as not only the individual and socio-economic characteristics but travel and land use attribute as well were defined as exogenous variables. This model has been calibrated in biogeme. In addition, the change of alternatives probability brought by factors variation was simulated. The results show that those living nearer rail transit stations tend to rail-commute far more often and when the car commute time increase the nearer residents live rail transit station, the higher probability rail-commute shift.