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A methodology for assessing regional economic impacts of charging HGVs in Spain: an integrated approach through a Random Utility Based Multiregional Input-Output and a Road Transportation Network Model

机译:评估在西班牙充电的HGV的区域经济影响的方法:通过基于随机效用的多区域投入产出和道路运输网络模型的综合方法

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This paper develops an integrated approach composed of a random utility-based multiregionalInput-Output model (RUBMRIO) and a road transport network model intended to evaluate theapplication of a fee-charge to heavy goods vehicles (HGVs) in Spain. For this purpose, adistance-based charge scenario in vehicle-kilometer (€/km) for HGVs is evaluated, taking intoaccount a selected motorway network of Spain. Although the aim of this charging policy is toincrease efficiency of transport, the approach strongly indentifies direct and indirect impacts onregional economy. In our paper we estimate the magnitude and extent of indirect effects onaggregated macroeconomic indicators (employment and GDP). We find that the macroeconomiceffects of the charging policy will be positive for some regions and negative in other regions.
机译:本文开发了一种综合方法,该方法由基于随机效用的多区域 投入产出模型(RUBMRIO)和公路运输网络模型,旨在评估 在西班牙对重型货车(HGV)收取费用。为此, 评估了HGV在车辆公里数中的基于距离的收费方案(€/ km),并考虑了 在西班牙选定的高速公路网络中入帐。尽管此收费政策的目的是 提高运输效率,这种方法强烈地确定了对运输业的直接和间接影响 区域经济。在我们的论文中,我们估计了对环境的间接影响的程度和程度 宏观经济指标合计(就业和国内生产总值)。我们发现宏观经济 收费政策的影响在某些地区是积极的,而在其他地区则是消极的。

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