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The influence of information-based Transport Demand Management measures on commuting mode choice. Comparing web vs. face-to-face surveys

The influence of information-based Transport Demand Management measures on commuting mode choice. Comparing web vs. face-to-face surveys

de Abreu e Silva, João, Papaix, Claire and Chen, Guineng (2018) The influence of information-based Transport Demand Management measures on commuting mode choice. Comparing web vs. face-to-face surveys. In: Transportation Research Procedia. International Steering Committee for Transport Survey Conferences, 32 . Elsevier Ltd.. ISSN 2352-1465 (doi:https://doi.org/10.1016/j.trpro.2018.10.066)

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Abstract

We test the effect of different contextualization, scaling, framing and formatting of environmental impacts and health benefits information on commuting mode choice. For this, a stated preference (SP) survey was designed. To also test survey mode effect, the survey was administrated both online and face-to-face. We find statistical differences across the two samples in terms of transport preferences, attitudes and perceptions towards the environment, health and social norms. These could be attributed both to differences in the levels of education and professional occupation and self-selection bias. The results in the models estimated from the SP hint the existence of irrational answers in the web-based sample. Information about global CO2 emissions appears to be ineffective in influencing mode choice whereas self-centric information about calories consumption is effective.

Item Type: Conference Proceedings
Title of Proceedings: Transportation Research Procedia
Additional Information: © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/) Peer-review under responsibility of the International Steering Committee for Transport Survey Conferences (ISCTSC).
Uncontrolled Keywords: Information-based TDM measures; health benefits; CO2 emissions; mode choice modelling; web-based surveys; face to face surveys
Subjects: H Social Sciences > HE Transportation and Communications
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 01 Nov 2019 14:23
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: GREAT d
Selected for GREAT 2019: GREAT 3
URI: http://gala.gre.ac.uk/id/eprint/15504

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