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Innovative Travel Survey Methods and Behavior Modeling in the Era of Big Data

机译：大数据时代的创新旅行调查方法和行为建模

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Travel survey and behavior modeling still take obviously important roles in a series of transportation planning, including problem identification, problem structuring, travel demand analysis, project/policy formulation, and project/policy evaluation. Classical large-scale travel surveys (e.g. paper-based questionnaire), which have been applied in many cities in the world, have faced challenging problems such as increased survey costs, decline in quality or reliability of the results, and less continuity. The scope of transportation planning at present has become more diverse and it would cover a variety of subjects including demand management, environment, health, gender, and evacuation. Moreover, there have been dramatic expansions in travel data collection with the rapid spread of information communication technology. These issues have motivated me to set up this special issue.This special issue has welcomed papers that are related to all aspects of innovation in travel survey methods and corresponding travel behavior modeling that show innovations in approach, outcomes, and state-of-practice. Five papers have been selected for this special issue.
机译：旅行调查和行为建模仍然在一系列交通计划中仍然扮演着重要的角色，包括问题识别，问题结构，旅行需求分析，项目/政策制定以及项目/政策评估。世界上许多城市已经采用的经典的大规模旅行调查（例如纸质问卷）面临着挑战性的问题，例如调查成本增加，结果的质量或可靠性下降以及连续性降低。目前，运输计划的范围已经变得更加多样化，它将涵盖各种主题，包括需求管理，环境，健康，性别和疏散。此外，随着信息通信技术的迅速普及，旅行数据的收集有了极大的扩展。这些问题促使我成立了本期专刊。本期专刊欢迎与出行调查方法创新以及与之相关的出行行为建模的各个方面相关的论文，这些论文显示出方法，成果和实践状态方面的创新。本期特刊共选出五篇论文。

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