Incorporating refuelling behaviour and drivers’ preferences in the design of alternative fuels infrastructure in a city

Incorporating refuelling behaviour and drivers’ preferences in the design of alternative fuels infrastructure in a city
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将加油行为和驾驶员偏好纳入城市替代燃料基础设施的设计中

DOI:
10.1016/j.trc.2016.01.004
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发表时间:
2016
影响因子:
8.3
通讯作者:
M. Tejada
M. Tejada
中科院分区:
工程技术1区
文献类型:
--
作者:
J. Brey;Raul Brey;Ana F. Carazo;M. Ruiz;M. Tejada

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相似文献

本文的目的是提出一个优化模型,规划加氢站在城市的部署策略时,起点-目的地(OD)数据是不可用的。该模型考虑了两个目标:最大限度地提高选定的加氢站所覆盖的交通量,并尽量减少城市居民到最近的加氢站的平均距离。由于OD数据被认为是不可用的,在最高的交通区的站的集群被阻止了一个新的约束,考虑到现有的传统加油站的分布信息。该模型适用于塞维利亚,一个城市在西班牙南部的约140平方公里,人口约70万。该应用程序使用了对200多名塞维利亚司机进行的调查结果,调查内容涉及他们目前的加油倾向、他们使用替代燃料车辆的意愿以及他们在建立替代加油站网络时的最低要求(关于加油的最大行驶距离和城市加油站数量)。
The purpose of this article is to present an optimization model to plan the deployment strategy for hydrogen refuelling stations in a city when Origin–Destination (OD) data are not available. This model considers two objectives: to maximize the traffic covered by the selected hydrogen refuelling stations and minimize the average distance of the city’s inhabitants to the nearest hydrogen refuelling station. As OD data are assumed to be unavailable, the clustering of stations in the highest traffic zones is prevented by a new constraint that takes into account information on the distribution of existing conventional refuelling stations. This model is applied to Seville, a city in Southern Spain of about 140 km2with a population of around 700,000. This application uses the results of a survey of more than 200 Sevillian drivers on their current refuelling tendencies, their willingness to use alternative fuel vehicles and their minimum requirements (regarding maximum distance to be travelled to refuel and number of stations in the city) when establishing a network of alternative refuelling stations.
DOI: 10.1016/j.trd.2013.08.004
发表时间: 2013-12
影响因子: 7.6
作者:
M. Kuby;Scott Kelley;J. Schoenemann
通讯作者: M. Kuby;Scott Kelley;J. Schoenemann