Various mode choice models have been developed in the past, using stated preference data, in order to forecast the mode shares under the hypothetical travel environment. However, little has been done to simultaneously analyse the influence of mode captive users, in order to determine their relative influence on the forecasted modal split for the study area. A mode captive user is generally defined as one who does not perceive to use any other alternative than his/her current travelling mode, when presented with hypothetical travelling alternatives. In the past, the models have generally been calibrated using the mode choice survey data only, while that of the captive users was ignored. This yields a knowledge gap in capturing the complete travel behaviour of a region, since the targeted population may contain a significant number of mode captive users. This paper presents a framework developed to analyse the degree of mode captivity in the travel behaviour of the survey respondents, and to determine the influence of these users on the forecasted mode shares. (a) For the covering entry of this conference, please see ITRD abstract no. E216058.
Samenvatting