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

Author:

Polyakova Y.R.1ORCID,Merkushev S.A.1ORCID

Affiliation:

1. Perm State National Research University

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

Publisher

FSBI Center of Geodesy, Cartography, and SDI

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3