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首页> 外文期刊>Journal of Transport Literature >Demand estimation of Personal Rapid Transit (PRT) using stated preference technique and binary logit models
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Demand estimation of Personal Rapid Transit (PRT) using stated preference technique and binary logit models

机译：使用陈述的偏好技术和二进制logit模型估算个人快速公交（PRT）的需求

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AbstractPersonal Rapid Transit (PRT) is an efficient rapid transit system which provides the last mile connectivity to the users with a high level of reliability and comfort. This paper is focused on the estimation of travel demand for a PRT system in an area using stated preference technique and binary logit models. Dwarka is a township in south-western region of New Delhi, India, and it has been selected as the case study area for this study. Primary data has been collected during household and establishment surveys in the area. The surveys were conducted using stated preference technique and coupled with willingness to pay survey. Further, binary logit models have been developed to estimate a 36 percent (222,456 trips per day) shift to PRT from the existing modes in the area. Travel demand estimation is one of the critical aspects of planning a PRT system in an area. Using stated preference technique and binary logit models, the travel demand can be estimated very precisely for any area-wide or a larger city-wide PRT system.
机译：摘要个人快速运输（PRT）是一种高效的快速运输系统，可为用户提供最后一英里的连接，并具有高度的可靠性和舒适性。本文着重于使用陈述性偏好技术和二进制Logit模型估算某地区PRT系统的旅行需求。德瓦卡（Dwarka）是印度新德里西南地区的一个小镇，已被选为该研究的案例研究区域。在该地区的家庭和机构调查期间已收集了主要数据。这些调查是使用陈述的偏爱技术进行的，并结合了支付调查的意愿。此外，已经开发了二进制logit模型，以估计该地区现有模式向PRT的迁移率为36％（每天222,456次）。出行需求估计是在一个区域中规划PRT系统的关键方面之一。使用陈述的偏好技术和二进制logit模型，可以非常精确地估计出任何区域范围内或较大城市范围内的PRT系统的旅行需求。

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