Predicting PR use: an application of HII for mode choice modelling

摘要

P&R facilities may improve the accessibility of cities. However, recently realised P&Rs in the Netherlands are not fully successful. To build more attractive P&R facilities, insight into the car drivers' preferences with respect to transfer from car to public transport is required. The question is how car drivers weigh the different P&R characteristics and how these characteristics affect their choices. In order to gain that insight the Hierarchical Information Integration (HII) approach is used. The HII approach is an extension of the stated preference modelling approach and is able to handle a larger amount of attributes in the model. To apply that method, three experiments are constructed, i.e. an experiment to evaluate the quality of P&R facilities, an experiment to evaluate the quality of public transport and an integrative experiment in which respondents are asked to make a choice between P&R, car and public transport alternatives. The paper presents and discusses the models estimated from these three experiments and illustrates how these models can be applied to predict P&R use.