Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian cities
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Urbe. Revista Brasileira de Gestão Urbana |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-33692022000100214 |
Resumo: | Abstract Axial and RCL (Road Centre Lines) models are street network representations used as base for space syntax Angular Segment Analysis (ASA) studies of centralities in cities. Although RCL is widely adopted for ASA, steps to treat RCL seem uncompleted. On the other hand, in Brazil many studies maintain axial models for ASA, despite standardization and updating limitations. Understanding models’ importance as it affects results, and in order to advance more confidently in studies, this paper compares axial and different modes of Open Street Map RCL ASA for two medium-to-large sized north-eastern Brazilian cities (Joao Pessoa and Natal). Closeness and betweenness centralities (i.e., measures of integration and choice) are studied for the city and their old city centres, as well as interrelations between centralities for different scales. Although all models work differently, they capture city centralities and scale dynamics, pointing towards natural urban voids in both cities accentuating routes movement hierarchies. Understanding some limitations in RCL simplifications proposed so far, a further procedure is presented that yielded good results in terms of route depiction and highlighting city centralities reading, while allowing more standardized and easily updated city models, especially relevant for rapidly changing Brazilian cities. |
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Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian citiesCities centralitiesAngular Segment AnalysisSpace SyntaxOSM RCL modelsAxial modelsAbstract Axial and RCL (Road Centre Lines) models are street network representations used as base for space syntax Angular Segment Analysis (ASA) studies of centralities in cities. Although RCL is widely adopted for ASA, steps to treat RCL seem uncompleted. On the other hand, in Brazil many studies maintain axial models for ASA, despite standardization and updating limitations. Understanding models’ importance as it affects results, and in order to advance more confidently in studies, this paper compares axial and different modes of Open Street Map RCL ASA for two medium-to-large sized north-eastern Brazilian cities (Joao Pessoa and Natal). Closeness and betweenness centralities (i.e., measures of integration and choice) are studied for the city and their old city centres, as well as interrelations between centralities for different scales. Although all models work differently, they capture city centralities and scale dynamics, pointing towards natural urban voids in both cities accentuating routes movement hierarchies. Understanding some limitations in RCL simplifications proposed so far, a further procedure is presented that yielded good results in terms of route depiction and highlighting city centralities reading, while allowing more standardized and easily updated city models, especially relevant for rapidly changing Brazilian cities.Pontifícia Universidade Católica do Paraná2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-33692022000100214urbe. Revista Brasileira de Gestão Urbana v.14 2022reponame:Urbe. Revista Brasileira de Gestão Urbanainstname:Pontifícia Universidade Católica do Paraná (PUC PR)instacron:PUC_PR10.1590/2175-3369.014.e20210173info:eu-repo/semantics/openAccessDonegan,LucySilva,Felipe Tavares daeng2022-09-27T00:00:00Zoai:scielo:S2175-33692022000100214Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=2175-3369&lng=pt&nrm=isONGhttps://old.scielo.br/oai/scielo-oai.phpurbe@pucpr.br2175-33692175-3369opendoar:2022-09-27T00:00Urbe. Revista Brasileira de Gestão Urbana - Pontifícia Universidade Católica do Paraná (PUC PR)false |
dc.title.none.fl_str_mv |
Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian cities |
title |
Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian cities |
spellingShingle |
Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian cities Donegan,Lucy Cities centralities Angular Segment Analysis Space Syntax OSM RCL models Axial models |
title_short |
Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian cities |
title_full |
Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian cities |
title_fullStr |
Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian cities |
title_full_unstemmed |
Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian cities |
title_sort |
Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian cities |
author |
Donegan,Lucy |
author_facet |
Donegan,Lucy Silva,Felipe Tavares da |
author_role |
author |
author2 |
Silva,Felipe Tavares da |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Donegan,Lucy Silva,Felipe Tavares da |
dc.subject.por.fl_str_mv |
Cities centralities Angular Segment Analysis Space Syntax OSM RCL models Axial models |
topic |
Cities centralities Angular Segment Analysis Space Syntax OSM RCL models Axial models |
description |
Abstract Axial and RCL (Road Centre Lines) models are street network representations used as base for space syntax Angular Segment Analysis (ASA) studies of centralities in cities. Although RCL is widely adopted for ASA, steps to treat RCL seem uncompleted. On the other hand, in Brazil many studies maintain axial models for ASA, despite standardization and updating limitations. Understanding models’ importance as it affects results, and in order to advance more confidently in studies, this paper compares axial and different modes of Open Street Map RCL ASA for two medium-to-large sized north-eastern Brazilian cities (Joao Pessoa and Natal). Closeness and betweenness centralities (i.e., measures of integration and choice) are studied for the city and their old city centres, as well as interrelations between centralities for different scales. Although all models work differently, they capture city centralities and scale dynamics, pointing towards natural urban voids in both cities accentuating routes movement hierarchies. Understanding some limitations in RCL simplifications proposed so far, a further procedure is presented that yielded good results in terms of route depiction and highlighting city centralities reading, while allowing more standardized and easily updated city models, especially relevant for rapidly changing Brazilian cities. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-33692022000100214 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-33692022000100214 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2175-3369.014.e20210173 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Pontifícia Universidade Católica do Paraná |
publisher.none.fl_str_mv |
Pontifícia Universidade Católica do Paraná |
dc.source.none.fl_str_mv |
urbe. Revista Brasileira de Gestão Urbana v.14 2022 reponame:Urbe. Revista Brasileira de Gestão Urbana instname:Pontifícia Universidade Católica do Paraná (PUC PR) instacron:PUC_PR |
instname_str |
Pontifícia Universidade Católica do Paraná (PUC PR) |
instacron_str |
PUC_PR |
institution |
PUC_PR |
reponame_str |
Urbe. Revista Brasileira de Gestão Urbana |
collection |
Urbe. Revista Brasileira de Gestão Urbana |
repository.name.fl_str_mv |
Urbe. Revista Brasileira de Gestão Urbana - Pontifícia Universidade Católica do Paraná (PUC PR) |
repository.mail.fl_str_mv |
urbe@pucpr.br |
_version_ |
1752128796735045632 |