Planning Public Space Climate Comfortability: A GIS-Based Algorithm for the Compact Cities of the Far North

The issue of forming a comfortable environment in cities with complex climatic conditions has always been an urgent and difficult issue for urban planners. Cities located in the territories of the Far North are characterized by extremely harsh climatic characteristics that affect the planning soluti...

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Main Authors: Anna Korobeinikova, Nina Danilina, Irina Teplova
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/13/11/1763
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author Anna Korobeinikova
Nina Danilina
Irina Teplova
author_facet Anna Korobeinikova
Nina Danilina
Irina Teplova
author_sort Anna Korobeinikova
collection DOAJ
description The issue of forming a comfortable environment in cities with complex climatic conditions has always been an urgent and difficult issue for urban planners. Cities located in the territories of the Far North are characterized by extremely harsh climatic characteristics that affect the planning solutions for the public spaces of the city. Low temperatures and strong winds reduce the time of comfortable stay in the open air, which leads to a decrease in the mobility of the population in the city and stimulates the use of personal cars. The research question is the rational placement of points of interest on the street network to ensure a comfortable travel time between objects. The research methodology of public space planning taking into account the climatic comfortability of Far North cities is proposed in this article. Also, an automated GIS-based algorithm for determining intermediate points on linear objects to increase POIs’ connectivity for the development of the public space of Far North cities under the condition of organizing climatic comfort is proposed. Development of safe and comfortable public space on the basis of network accessibility, taking into account the difficult climatic conditions of these cities, will increase the social activity of the population and tourists, as well as promote economic growth and business development in the city.
format Article
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institution Kabale University
issn 2073-445X
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publishDate 2024-10-01
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spelling doaj-art-7f85d5393be5470faaf6b484e03b61c52024-11-26T18:09:06ZengMDPI AGLand2073-445X2024-10-011311176310.3390/land13111763Planning Public Space Climate Comfortability: A GIS-Based Algorithm for the Compact Cities of the Far NorthAnna Korobeinikova0Nina Danilina1Irina Teplova2Urban Planning Department, National Research Moscow State University of Civil Engineering, Yaroslavskoe sh. 26, 129337 Moscow, RussiaUrban Planning Department, National Research Moscow State University of Civil Engineering, Yaroslavskoe sh. 26, 129337 Moscow, RussiaUrban Planning Department, National Research Moscow State University of Civil Engineering, Yaroslavskoe sh. 26, 129337 Moscow, RussiaThe issue of forming a comfortable environment in cities with complex climatic conditions has always been an urgent and difficult issue for urban planners. Cities located in the territories of the Far North are characterized by extremely harsh climatic characteristics that affect the planning solutions for the public spaces of the city. Low temperatures and strong winds reduce the time of comfortable stay in the open air, which leads to a decrease in the mobility of the population in the city and stimulates the use of personal cars. The research question is the rational placement of points of interest on the street network to ensure a comfortable travel time between objects. The research methodology of public space planning taking into account the climatic comfortability of Far North cities is proposed in this article. Also, an automated GIS-based algorithm for determining intermediate points on linear objects to increase POIs’ connectivity for the development of the public space of Far North cities under the condition of organizing climatic comfort is proposed. Development of safe and comfortable public space on the basis of network accessibility, taking into account the difficult climatic conditions of these cities, will increase the social activity of the population and tourists, as well as promote economic growth and business development in the city.https://www.mdpi.com/2073-445X/13/11/1763public urban infrastructurepublic spacestreet networkFar Northcold climateGIS-based algorithm
spellingShingle Anna Korobeinikova
Nina Danilina
Irina Teplova
Planning Public Space Climate Comfortability: A GIS-Based Algorithm for the Compact Cities of the Far North
Land
public urban infrastructure
public space
street network
Far North
cold climate
GIS-based algorithm
title Planning Public Space Climate Comfortability: A GIS-Based Algorithm for the Compact Cities of the Far North
title_full Planning Public Space Climate Comfortability: A GIS-Based Algorithm for the Compact Cities of the Far North
title_fullStr Planning Public Space Climate Comfortability: A GIS-Based Algorithm for the Compact Cities of the Far North
title_full_unstemmed Planning Public Space Climate Comfortability: A GIS-Based Algorithm for the Compact Cities of the Far North
title_short Planning Public Space Climate Comfortability: A GIS-Based Algorithm for the Compact Cities of the Far North
title_sort planning public space climate comfortability a gis based algorithm for the compact cities of the far north
topic public urban infrastructure
public space
street network
Far North
cold climate
GIS-based algorithm
url https://www.mdpi.com/2073-445X/13/11/1763
work_keys_str_mv AT annakorobeinikova planningpublicspaceclimatecomfortabilityagisbasedalgorithmforthecompactcitiesofthefarnorth
AT ninadanilina planningpublicspaceclimatecomfortabilityagisbasedalgorithmforthecompactcitiesofthefarnorth
AT irinateplova planningpublicspaceclimatecomfortabilityagisbasedalgorithmforthecompactcitiesofthefarnorth