Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges
Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges
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DOI：
10.1016/j.trc.2016.12.008
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发表时间：
2017-02-01
影响因子：
8.3
通讯作者：
Waller, Travis S.
中科院分区：
文献类型：
--
作者：
Rashidi, Taha H.;Abbasi, Alireza;Waller, Travis S.
在过去的几年中，社会科学文献对从社交媒体中提取信息来跟踪和分析人类运动表现出了极大的关注。本文对社交媒体的交通方面进行了调查和回顾。详细讨论了如何使用来自不同来源的社交媒体数据以最小的成本间接提取旅行属性，例如旅行目的、交通方式、活动持续时间和目的地选择，以及土地使用变量，例如家庭、工作和学校位置，以及包括性别、年龄和收入在内的社会人口统计属性。研究了过去几年围绕社交媒体应用的交通和旅行行为领域的演变。此外，本文还介绍了世界各地旅行需求建模专家关于社交媒体数据对日常旅行行为建模的适用性的定性调查结果。调查结果显示专家们对此类数据源的有用性持积极看法。 (C) 2016 Elsevier Ltd. 保留所有权利。
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. (C) 2016 Elsevier Ltd. All rights reserved.