A big data szerepe a városi mobilitás kutatásában és fejlesztésében

Sándor Váczi, Szabolcs Fabula, Gábor Nagy
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引用次数: 0

Abstract

The use of big data in urban mobility research is growing dynamically. However, relatively few studies have been devoted to systematically review the results in this field. Therefore, the aim of the present study is to explore the general characteristics of the application of the big data approach in urban mobility research. For this purpose, the systematic literature review method was applied and the scientific Scopus database was accessed to collect publications relevant to the predefined criteria. Then the papers included in the sample were analysed using quantitative and qualitative techniques, focusing on the trends emerging from the years of publications in the database, the distribution of the papers by journal, the geographical distribution of case-study areas, the methods and data types employed, and their policy implications. This literature review demonstrates the diversity of big datadriven urban mobility research and provides lessons for geography and urban policy in Hungary.
大数据在城市交通研究中的应用正在蓬勃发展。然而,相对较少的研究致力于系统地审查这一领域的结果。因此,本研究的目的是探讨大数据方法在城市交通研究中应用的一般特征。为此,采用系统文献综述法,并访问科学Scopus数据库,收集与预定义标准相关的出版物。然后,使用定量和定性技术分析样本中的论文,重点是数据库中出版物年份出现的趋势、按期刊分发的论文、个案研究领域的地理分布、所采用的方法和数据类型及其政策影响。这篇文献综述展示了大数据驱动的城市交通研究的多样性,并为匈牙利的地理和城市政策提供了经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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