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首页> 外文期刊>Research in transportation economics >The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridor
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The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridor

机译：使用基于位置的大数据和行程计划服务来估算长途旅行需求模型。预测新的高铁走廊的影响

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摘要

Travel demand models are a useful tool to assess transportation projects. Within travel demand, long-distance trips represent a significant amount of the total vehicle-kilometers travelled, in contrast to commuting trips. Consequently, they pay a relevant role in the economic, social and environmental impacts of transportation. This paper describes the development of a microscopic long-distance travel demand model for the Province of Ontario (Canada) and analyzes the sensitivity to the implementation of a new high speed rail corridor.Trip generation, destination choice and mode choice models were developed for this research. Multinomial logit models were estimated and calibrated using the Travel Survey for Residents in Canada (TSRC). It was complemented with location-based social network data from Foursquare, improving the description of activities and diverse land uses at the destinations. Level of service of the transit network was defined by downloading trip time, frequency and fare using the planning service Rome2rio.New scenarios were generated to simulate the impacts of a new high speed rail corridor by varying rail travel times, frequencies and fares of the rail services. As a result, a significant increase of rail modal shares was measured, directly proportional to speed and frequency and inversely proportional to price.
机译：出差需求模型是评估运输项目的有用工具。在出行需求中，与通勤出行相比，长途出行占行车总里程的很大一部分。因此，它们在运输的经济，社会和环境影响中发挥了重要作用。本文介绍了安大略省（加拿大）微观长途旅行需求模型的开发，并分析了实施新的高速铁路走廊的敏感性，并为此开发了出行方式，目的地选择和方式选择模型研究。使用加拿大居民旅行调查（TSRC）估算和校准多项式logit模型。来自Foursquare的基于位置的社交网络数据对其进行了补充，从而改善了活动描述以及目的地的各种土地用途。通过使用规划服务Rome2rio下载行程时间，班次和票价来定义公交网络的服务水平，并通过改变铁路的行进时间，频率和票价来生成新的场景来模拟新的高速铁路走廊的影响服务。结果，测得的铁路模式份额显着增加，与速度和频率成正比，与价格成反比。

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