Abstract

A new approach for spatial modelling of transport mode choice is presented in the paper. The approach tackles the problem by considering the trade-off between subjective and objective factors. To obtain mode Preference Rates (PRs) based on subjective factors, the Analytic Hierarchy Process (AHP) method is applied. The objective factors are expressed with the journey time from any point in the map to destination according to the available transport mode choice on the specific connection. The results are presented as PRs of individual transport modes. The model is validated on the conducted the survey, with students of Vienna University of Economics and Business (WU) as a target audience. Members of different target groups (age, national, employment) decide differently regarding the transport choice, so it is better to analyse them separately. The presented model can be used for the city transport planning in any urban area. It can help promote the sustainable modes of transport in the areas that are less adjusted in sustainable manner.

Highlights

  • A new approach for spatial modelling of transport mode choice is presented in the paper

  • The objective factors are expressed with the journey time from any point in the map to destination according to the available transport mode choice on the specific connection

  • The transport mode choice may be very different, depending on whether the subjects go to the opera or to listen a lecture at the university, i.e. because of that, we propose that the transport mode choice modelling is more efficient when it targeted at a certain group of people, with the similar attitudes and the common goal of their travel

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Summary

Introduction

A new approach for spatial modelling of transport mode choice is presented in the paper. The presented model can be used for the city transport planning in any urban area It can help promote the sustainable modes of transport in the areas that are less adjusted in sustainable manner. 30% of the world’s population lived in the cities back in 1950’s, but it is expected to grow up to 66% until 2050 Because of this fact, the United Nations have started the United Smart Cities – a program to develop and improve urban facilities and infrastructure to welcome all existing and potential residents, and to give them a good quality of life (KPIT Technologies Inc. 2018). For the effective development of public policy strategies for achieving a commuting-mode shift from cars to public transport is necessary to understand the whole range of psychological and situational factors that influence the commuter-transport choice behaviour (Collins, Chambers 2005)

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