Evaluation of Perm’s large center pedestrian zones segments attractiveness using geographic information technologies

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-02-20 DOI:10.22389/0016-7126-2024-1003-1-33-42
Y.R. Polyakova, S. Merkushev
{"title":"Evaluation of Perm’s large center pedestrian zones segments attractiveness using geographic information technologies","authors":"Y.R. Polyakova, S. Merkushev","doi":"10.22389/0016-7126-2024-1003-1-33-42","DOIUrl":null,"url":null,"abstract":"\nThe approaches to studying the attractiveness of pedestrian spaces are proposed, which could in the researchers’ opinion serve as one of the urban environment quality indicators. Based on the authors` methodology with the help of geographic information technologies, an assessment of the attractiveness of Perm’s large center pedestrian spaces’ most consolidated components was carried out. To form an array of the data (attractor objects), open sources were used. Attribute values which enabled analyzing the direct location of attractors were the proximity and belonging to the components of the pedestrian spaces chosen as the subject of the study. As a result of the vector data spatial analysis, noticeable differences in the attractiveness of those places were revealed. Its highest index is typical for the embankment of the Kama. The result is slightly lower near the esplanade and foot zones near the railway station Perm-2. The lowest level was found in the mentioned spaces located near the southern and eastern outskirts of the large center. The authors analyze the features and problems of using publicly available data, propose measures to increase the attractiveness of the central pedestrian spaces of Perm, and conclude that it is necessary to form a unified space to gather and swap information in order to increase the effectiveness of further local studies of the environmental quality\n","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"7 9","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22389/0016-7126-2024-1003-1-33-42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

Abstract

The approaches to studying the attractiveness of pedestrian spaces are proposed, which could in the researchers’ opinion serve as one of the urban environment quality indicators. Based on the authors` methodology with the help of geographic information technologies, an assessment of the attractiveness of Perm’s large center pedestrian spaces’ most consolidated components was carried out. To form an array of the data (attractor objects), open sources were used. Attribute values which enabled analyzing the direct location of attractors were the proximity and belonging to the components of the pedestrian spaces chosen as the subject of the study. As a result of the vector data spatial analysis, noticeable differences in the attractiveness of those places were revealed. Its highest index is typical for the embankment of the Kama. The result is slightly lower near the esplanade and foot zones near the railway station Perm-2. The lowest level was found in the mentioned spaces located near the southern and eastern outskirts of the large center. The authors analyze the features and problems of using publicly available data, propose measures to increase the attractiveness of the central pedestrian spaces of Perm, and conclude that it is necessary to form a unified space to gather and swap information in order to increase the effectiveness of further local studies of the environmental quality
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用地理信息技术评估彼尔姆大型中心步行区段的吸引力
提出了研究步行空间吸引力的方法,研究人员认为这可以作为城市环境质量指标之一。根据作者的方法,在地理信息技术的帮助下,对彼尔姆大型中心步行空间最重要组成部分的吸引力进行了评估。为了形成数据阵列(吸引力对象),使用了公开来源。能够分析吸引物直接位置的属性值是与被选为研究对象的步行空间组成部分的邻近性和归属性。矢量数据空间分析的结果显示,这些地方的吸引力存在明显差异。卡马河堤岸的吸引力指数最高。在彼尔姆-2 火车站附近的海滨广场和步行区,指数略低。位于大中心南部和东部郊区的上述空间的指数最低。作者分析了使用公开数据的特点和问题,提出了提高彼尔姆市中心步行区吸引力的措施,并得出结论:有必要建立一个统一的空间来收集和交换信息,以提高当地进一步研究环境质量的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊介绍: ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.
期刊最新文献
Reliability of STOP-Bang questionnaire and pulse oximetry as predictors of OSA - a retrospective study. Effect of adenoid hypertrophy and adenoidectomy on bite force in children: Twelve month follow-up, case-control study. Efficacy of conservative approaches on pain relief in patients with temporomandibular joint disorders: a systematic review with network meta-analysis. Evaluation of condyle-fossa relationships in skeletal Class I malocclusion with variable degrees of deep overbite and open bite. An Investigation of temporomandibular pain, headache, and fatigue in relation with long-term mask use during the COVID-19 pandemic period.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1