多式联运资源配置数据集

多式联运资源配置数据集主要面向多式联运资源合理配置研究，为解决多种运输模式下的供需优化匹配和资源配置优化问题而建设。
该数据集通过整理国家统计年鉴、统计新闻等统计数据中的航空枢纽信息，利用矩阵分解计算等方法获取。数据涵盖了主要航空枢纽间的高铁距离、航空、联运方案、运量、航空碳排放、联运碳排放等信息。高铁距离、航空距离、运量等数据来自于相关统计年鉴;运量采用矩阵分解方程将省份间的运量分解到城市间;联运方案、航空碳排放、联运碳排放计算过程中的各项参数均来自于已有研究或根据相关规划和新闻推断得出。

The multimodal transport resource allocation dataset is primarily developed for research on the rational allocation of multimodal transport resources, aiming to address the issues of optimal supply-demand matching and resource allocation optimization across multiple transport modes.

This dataset is compiled by collecting air hub information from statistical sources including national statistical yearbooks and statistical news reports, and is constructed through methods such as matrix decomposition calculation. The dataset covers information such as high-speed rail distances, air distances, intermodal transport schemes, freight volume, aviation carbon emissions and intermodal transport carbon emissions between major air hubs. Data on high-speed rail distances, air distances and freight volume are sourced from relevant statistical yearbooks. The freight volume data is processed via matrix decomposition equations, which decompose inter-provincial freight volumes into inter-city freight volumes. All parameters involved in the calculation of intermodal transport schemes, aviation carbon emissions and intermodal transport carbon emissions are derived from existing studies or inferred based on relevant planning documents and news reports.

搜集汇总

背景与挑战

背景概述

该数据集专注于多式联运资源合理配置研究，旨在优化多种运输模式下的供需匹配和资源配置。数据来源于国家统计年鉴等公开资料，通过矩阵分解方法处理，包含航空枢纽间的高铁距离、运量、碳排放等关键指标，适用于交通运输工程领域的分析和应用。