欧盟智能交通——与自行车道路系统的扩展和传播相关的方面

IF 7 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
R. Wolniak
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引用次数: 7

摘要

同行评审期刊上对科学研究的分析表明了自行车道路网络与智能出行的重要性。这项研究针对的是符合自行车路线网发达标准的欧盟城市,这些城市被列为2021年欧洲自行车最友好城市前100名。该研究还分析了每个城市是否在国家或国际智能城市名单上,或者是否有智能城市倡议。该研究表明,在现代智慧城市中,全面而发达的自行车道网络是开发智能出行解决方案的关键因素。在欧盟国家中,北欧和中欧的城市,特别是德国、瑞典、芬兰、丹麦和荷兰,拥有最发达的自行车网络。对一个国家的平均气温水平与智能城市自行车道平均值之间相关性的研究表明,这两个变量之间存在统计学上显著的负相关性。一个国家的年平均气温越低,其智能城市中的自行车基础设施就越多,这是通过自行车道的长度以及城市每平方公里和每1000名居民拥有自行车道的饱和度来衡量的。在去除异常值(芬兰、爱尔兰和卢森堡)后,观察到一个国家的财富与智能城市自行车道的长度和密度之间存在显著关系。自行车道路长度与人均GDP之间的线性相关系数为-0.73,这是一个高系数值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
European Union Smart Mobility–Aspects Connected with Bike Road System’s Extension and Dissemination
The analysis of scientific research described in peer-reviewed journals demonstrates the significance of bicycle road networks in relation to smart mobility. This research was conducted for European Union cities that meet the criteria of having a developed bicycle route network and are ranked among the top 100 European bicycle-friendliest cities in 2021. The study also analyzed whether each city was on national or international lists of smart cities or had smart city initiatives. The study indicates that a comprehensive and well-developed network of bicycle paths is a crucial element in the development of smart mobility solutions within a modern smart city. Among EU countries, cities in northern and central Europe, particularly in Germany, Sweden, Finland, Denmark, and the Netherlands, have the best-developed bicycle networks. The research on the correlation between the average temperature level in a country and the average values for smart city bike lanes showed a statistically significant negative correlation between the two variables. The lower a country’s average annual temperature, the more that a bicycle infrastructure is present in its smart cities, as measured by the length of bicycle paths and the saturation of the city with bicycle paths per square kilometer and per 1000 residents. After removing outliers (Finland, Ireland, and Luxembourg), a significant relationship was observed between the wealth of a country and the length and density of bicycle paths in smart cities. The linear correlation coefficient between the length of bicycle roads and GDP per capita was found to be −0.73, which is a high coefficient value.
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来源期刊
Smart Cities
Smart Cities Multiple-
CiteScore
11.20
自引率
6.20%
发文量
0
审稿时长
11 weeks
期刊介绍: Smart Cities (ISSN 2624-6511) provides an advanced forum for the dissemination of information on the science and technology of smart cities, publishing reviews, regular research papers (articles) and communications in all areas of research concerning smart cities. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible, with no restriction on the maximum length of the papers published so that all experimental results can be reproduced.
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