Dataset for the Life Cycle Assessment of the High Speed Rail network in Spain

A life cycle assessment (LCA) of the entire high speed rail (HSR) network in Spain was completed. Life cycle inventory (LCI) data related to the construction and maintenance phases of the infrastructure was collected using Google Earth tool, and complemented with data obtained from other LCA studies. LCI data associated with the operation phase of the infrastructure was built on available fragmentary data on passenger movements for the year 2016, processed with a python algorithm to estimate the transport service provided by the infrastructure. Environmental impacts for transport modes were obtained from Ecoinvent v3.7 database and processed with openLCA software. Life cycle impact assessment (LCIA) results gathered in the dataset include Global Warming (GWP100a), Cumulative Energy Demand and total emissions for PM10, SO2, NOX and NMVOC. This dataset presents a detailed description of the Spanish HSR network, including the length of each item (bridges, tunnels, earthworks, railway tracks), and a robust estimation of passenger transport over the infrastructure for year 2016.

本研究完成了西班牙全境高速铁路（High Speed Rail, HSR）网络的全生命周期评估（Life Cycle Assessment, LCA）。针对该基础设施建设与维护阶段的生命周期清单（Life Cycle Inventory, LCI）数据，通过谷歌地球（Google Earth）工具采集，并辅以其他LCA研究获取的相关数据。该基础设施运营阶段的LCI数据基于2016年已有的零散客运量数据构建，通过Python算法处理以估算其提供的运输服务总量。各类交通模式的环境影响数据取自Ecoinvent v3.7数据库，并借助openLCA软件完成处理。本数据集收录的生命周期影响评估（Life Cycle Impact Assessment, LCIA）结果包含全球变暖潜势（Global Warming Potential, GWP100a）、累计能源需求，以及PM10、SO2、NOX和非甲烷挥发性有机化合物（NMVOC）的总排放量。本数据集详细描述了西班牙高速铁路网络，涵盖各分项工程（桥梁、隧道、土石方工程、铁路轨道）的长度，并对2016年该基础设施的客运量进行了可靠估算。