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Adjusting ITE’s Trip Generation Handbook for urban context

机译:根据城市情况调整ITE的“旅行生成手册”

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This study examines the ways in which urban context affects vehicle trip generation rates across three land uses. An intercept travel survey was administered at 78 establishments (high-turnover restaurants, convenience markets, and drinking places) in the Portland, Oregon, region during 2011. This approach was developed to adjust the Institute of Transportation Engineers (ITE) Trip Generation Handbook vehicle trip rates based on built environment characteristics where the establishments were located.A number of policy-relevant built environment measures were used to estimate a set of nine models predicting an adjustment to ITE trip rates. Each model was estimated as a single measure: activity density, number of transit corridors, number of high-frequency bus lines, employment density, lot coverage, length of bicycle facilities, presence of rail transit, retail and service employment index, and intersection density. All of these models perform similarly (Adj. R2 0.76-0.77) in estimating trip rate adjustments. Data from 34 additional sites were collected to verify the adjustments. For convenience markets and drinking places, the adjustment models were an improvement to the ITE’s handbook method, while adjustments for restaurants tended to perform similarly to those from ITE’s estimation.The approach here is useful in guiding plans and policies for a short-term improvement to the ITE’s Trip Generation Handbook. The measures are useful for communities seeking to develop local adjustments to vehicle trip rate estimates, and all could be calculated from spatial data available in most locations. The paper concludes with a discussion on what long-term improvements to the ITE’s Trip Generation Handbook might entail, with further implications in planning and practice.
机译:这项研究考察了城市环境如何影响三种土地利用方式的出行率。在2011年期间,对俄勒冈州波特兰地区的78个场所(营业额高的餐厅,便利市场和饮酒场所)进行了一次拦截旅行调查。开发此方法是为了调整交通工程师协会(ITE)的“旅行生成手册”车辆基于场所所在地的建筑环境特征的出行率。许多与政策相关的建筑环境措施被用来估算一组九个模型,这些模型预测ITE出行率的调整。每种模型均以单一度量进行估算:活动密度,公交走廊数量,高频公交线路数量,就业密度,地段覆盖率,自行车设施的长度,轨道交通的存在,零售和服务业就业指数以及路口密度。所有这些模型在估计跳闸速度调整时的性能相似(调整R2 0.76-0.77)。从另外34个站点收集了数据以验证调整。对于便利市场和饮酒场所,调整模型是对ITE手册方法的改进,而饭店的调整往往与ITE的估算方法相似,此处的方法可用于指导计划和政策的短期改进。 ITE的“旅行生成手册”。这些措施对寻求对车辆出行率估计进行本地调整的社区很有用,所有这些措施都可以从大多数位置的可用空间数据中得出。本文最后讨论了ITE的《旅行生成手册》可能需要进行哪些长期改进,并对规划和实践产生进一步的影响。

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