地铁站步行距离内的地铁居民需求评价

D. E. Ushakov, D. Karelin
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引用次数: 1

摘要

介绍。目前,俄罗斯区域城市地下铁路的评价在研究文献中很少受到关注。我们已经评估了俄罗斯地区城市地下铁路客流与车站步行距离内的居民数量之间的关系。这将有助于了解地下铁路的潜在发展和现有网络的未来用途,以实现每个居民方便的可持续城市环境。材料和方法。采用回归分析方法对相关性进行回顾性评价。选择地铁年客流量作为因变量,因为与平均日常变量相比,它受随机因素的影响较小。以地铁站步行距离内的建筑居住空间为自变量。还考虑了可能影响客流的主要社会因素。结果。从地下铁路开通到现在,叶卡捷琳堡和喀山的地铁站步行距离内的生活空间与客流之间的关系得到了确定。从2005年到2019年,考虑到福利货币化改革和与COVID-19大流行相关的限制性措施的影响,对新西伯利亚的这一关系进行了跟踪。萨马拉和下诺夫哥罗德没有发现这种依赖性。几个城市的车站步行距离半径对客流影响最大。结论。居住功能并不是决定俄罗斯区域城市地铁客流的普遍因素。影响大部分人口的社会因素,如货币化改革,具有重大影响。计划进一步研究评估影响萨马拉和下诺夫哥罗德地下铁路客流的其他因素。
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The evaluation of the resident demand for underground railways within walking distance of stations
Introduction. Presently, the evaluation of underground railways in regional cities of Russia enjoys little attention in the research literature. We have assessed the relationship between passenger flows of underground railways in regional Russian cities and the number of residents within walking distance of the stations. This will allow understanding the potential development of underground railways and the future uses of existing networks towards a sustainable urban environment convenient for each resident. Materials and methods. The evaluation of the relationship was conducted retrospectively using the regression analysis method. The annual passenger flow of underground railways was chosen as a dependent variable, as it is less affected by random factors, compared to average daily variables. The living space of buildings within walking distance of underground railway stations was taken as an independent variable. Major social factors that may influence passenger flows were also taken into account. Results. For the period from the opening of the underground railway to the present day, the relationship between living spaces within walking distance of underground railway stations and passenger flows was identified for Ekaterinburg and Kazan. From 2005 to 2019, the relationship has been tracked for Novosibirsk with account taken of the effect of the benefit monetization reform and restrictive measures related to the COVID-19 pandemic. This dependence has not been identified for Samara and Nizhny Novgorod. The radii of walking distances from the stations, having the greatest impact on the passenger traffic, were identified for several cities. Conclusions. The residential function is not a universal factor determining passenger flows of underground railways in regional Russian cities. Social factors, affecting large segments of the population, such as monetization reforms, have a substantial effect. Further research is planned to evaluate other factors that influence passenger flows of underground railways in Samara and Nizhny Novgorod.
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