交通影响分析(TIA)和预测未来交通需求:来自选定的北卡罗来纳州案例研究的经验教训

S. Pulugurtha, Rakesh Mora
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引用次数: 1

摘要

本文的重点是对选定的交通影响分析(TIA)案例研究进行评估,回顾当前的做法,并建议可以适应的程序,以更好地预测和规划未来的交通需求。从评估中得出的经验教训表明,考虑区域交通增长率、高峰小时因子(PHF)、重型车辆百分比和其他场外发展情况,将产生相对更好的TIA预测。可能由于经济状况的原因,在几个案例地点观察到空置地块的不完整开发。因此,假设多个“扩建”年(比如,基于开发规模的3年和5年)作为完整的扩建年进行分析,将有助于州和地方运输机构根据需求进行规划和更好地分配资源。
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Traffic Impact Analysis (TIA) and Forecasting Future Traffic Needs: Lessons from Selected North Carolina Case Studies
The focus of this paper is to conduct an evaluation of selected traffic impact analysis (TIA) case studies, review current practice, and recommend procedures that could be adapted to better forecast and plan future traffic needs. Lessons from the evaluations indicate that considering regional traffic growth rate, peak hour factor (PHF), heavy vehicle percentage, and other off-site developments would yield relatively better TIA forecasts. Incomplete development with vacant parcels was observed at several case sites, possibly due to the state of the economy. Therefore, conducting analysis assuming multiple “build out” years (say, three and five years based on the magnitude of the development) as complete build out years would help state and local transportation agencies plan and better allocate resources based on the need.
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