ABSTRACT Ridesharing has been attracting increasing attention from both academia and industry. One of the challenges posed by the study of ridesharing is to identify the most valuable information for improving the ridesharing decisions taken by participants. Another challenge is to use harvesting techniques to extract specific types of travel-related information. Many methods have been developed by the community in order to solve these issues. However, due to a lack of information sharing between different transit authorities and the difficulty of identifying subjective perceptions of the experience of ridesharing, understanding and evaluating how social media data might support or obstruct goals for mobility, safety and environmental sustainability in ridesharing is a difficult task. In this survey, we first analyze the literature on ridesharing with a focus on the properties and model of service, and introduce a framework to describe the major components required for a ridesharing service. Then, we illustrate the potential value of information extracted from social media and present the rationale for harvesting travel-related data. Finally, we detail some possible directions and different approaches for using social media data, and highlight their assets and drawbacks.

中文翻译：

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使用社交媒体支持拼车服务：挑战与机遇

摘要 拼车已经引起了学术界和工业界越来越多的关注。拼车研究带来的挑战之一是确定最有价值的信息，以改善参与者的拼车决策。另一个挑战是使用收集技术来提取特定类型的旅行相关信息。为了解决这些问题，社区已经开发了许多方法。然而，由于不同交通部门之间缺乏信息共享，并且难以识别对拼车体验的主观看法，理解和评估社交媒体数据如何支持或阻碍拼车中的移动性、安全性和环境可持续性目标是一个困难任务。在本次调查中，我们首先分析有关拼车的文献，重点关注服务的属性和模型，并介绍一个框架来描述拼车服务所需的主要组件。然后，我们说明了从社交媒体中提取的信息的潜在价值，并提出了收集旅行相关数据的基本原理。最后，我们详细介绍了使用社交媒体数据的一些可能的方向和不同的方法，并强调了它们的优点和缺点。