Design and Deployment of an Innovative Mobility Survey for the Lisbon Metropolitan Area Oriented to Assess the Market Potential and Obtain the Best Configuration of New Alternative Transport Modes
G Duarte Santos, L Miguel Martinez, J M Viegas, D Alves , IST Lisbon, PT
This paper reports on the development and implementation of a web based survey with some innovations, such as Google Maps API to geocode the required locations, and real mobility data to generate realistic scenarios for stated preference alternatives.
This paper reports on the design, programming and implementation of a web based survey with the objective of examining current mobility patterns of the Lisbon Metropolitan Area, and assess the potential for implementing new alternative transport modes (carsharing, carpooling, express minibus, shared taxi). The survey is part of a research project (SCUSSE, MIT-Portugal), which aims to study new smart transport modes and services with a strong ITS emphasis, and their integration with the automobile and public transport in order to efficiently satisfy the increasingly complex daily activities and lifestyles of urban travellers.
The referred questionnaire has five main sections: (1) a socio-demographic characterisation of the respondent, including questions on residential location, household composition, employment description, level of education, and characterisation of the mobility tools available for daily travel (e.g. private car, public transport pass); (2) questions about the respondents mobility choices of the previous day, requiring a detailed characterisation of the trips performed and their main attributes (i.e. trip purpose, transport mode used, time, origin, destination, and if the trip is part of the daily routine or due to an abnormal activity) (3) a stated preference experiment, where the interviewee is subjected to three modal choices between current transport modes and new alternative transport options; (4) an assessment of the degree on which the proposed alternative transport attributes may or may not change the current transport choice of the respondent; (5) a section of rapid answer questions to understand the attitudes towards the new transport alternatives, and the positive and negative features related to the new alternative transport modes.
The survey design presents several innovations in web-survey applications. It takes advantage of new open-source technologies by using Google Maps API to automatically geocode the residential location and trip ends, which eases the geographical characterization of the trips by the respondents and considerably reduces the post-processing time required to edit and complete the working database. Another innovation is the use of real mobility data from the study area (region of Lisbon) to generate realistic attributes for the scenarios of the stated preference alternatives, encompassed on a fractional factorial design. These attributes result from forecasts based on calibrated models, taking as reference one of trips described on the mobility revealed preferences section.
The obtained data from the survey may allow a detailed mobility characterisation of the region, estimate the market potential for the new transport modes, and fine tune some of the features of these new services towards the preferences of the potential clients.
Association for European Transport