Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges
Transportation Research Part C Emerging TechnologiesPublished 30 December 2016
Taha Hossein Rashidi, Alireza Abbasi, Mojtaba Maghrebi, Samiul Hasan, S. Travis Waller
Citations245
SJR quartileQ1
SJR score2.73
SNIP2.86
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TL;DR
Results of a qualitative survey from travel demand modelling experts around the world on applicability of social media data for modelling daily travel behaviour reveal positive view of the experts about usefulness of such data sources.
Abstract
In the past few years, the social science literature has shown significance attention to extracting information from social media to track and analyse human movements. In this paper the transportation aspect of social media is investigated and reviewed. A detailed discussion is provided about how social media data from different sources can be used to indirectly and with minimal cost extract travel attributes such as trip purpose, mode of transport, activity duration and destination choice, as well as land use variables such as home, job and school location and socio-demographic attributes including gender, age and income. The evolution of the field of transport and travel behaviour around applications of social media over the last few years is studied. Further, this paper presents results of a qualitative survey from travel demand modelling experts around the world on applicability of social media data for modelling daily travel behaviour. The result of the survey reveals positive view of the experts about usefulness of such data sources.
Keywords
Social SciencesEngineering
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