Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function

The currently available transport modeling tools are used to evaluate the effects of behavior change. aim this study is analyze interaction between mode choice and travel an individual—more specifically, identify which variables has greatest effect on choice. This realized by using a multinomial logit model (MNL) nested (NL) based utility function. function contains activity characteristics, trip characteristics including cost, time, distance place, individual calculate maximum in proposed tested real observations Budapest, Hungary as case study. When analyzing results, it was found that “Trip distance” variable most significant, followed “Travel time” “Activity purpose”. These parameters have be mainly considered when elaborating urban traffic models plans. advantage ability relationship among With possible estimate influence various best