The Regaining of Traditional Street: Combining Street Network Configuration with Temporary Urban Interventions
Observations and Axial analysis models are combined into Space Syntax to study the corresponding relationship between a street network and how temporary urban interventions in a traditional shopping street in Little India, Kuala Lumpur, may affect public life. Little India was chosen as the case stu...
出版年: | IOP Conference Series: Earth and Environmental Science |
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第一著者: | |
フォーマット: | Conference paper |
言語: | English |
出版事項: |
Institute of Physics Publishing
2019
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オンライン・アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077692273&doi=10.1088%2f1755-1315%2f385%2f1%2f012019&partnerID=40&md5=37adeb16e09b94ab4a76ef2943c63587 |
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Khalid N.S.; Raja Othman R.N.; Che Abdullah I.; Marzukhi M.A.; Nasrudin N. |
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Khalid N.S.; Raja Othman R.N.; Che Abdullah I.; Marzukhi M.A.; Nasrudin N. 2-s2.0-85077692273 The Regaining of Traditional Street: Combining Street Network Configuration with Temporary Urban Interventions 2019 IOP Conference Series: Earth and Environmental Science 385 1 10.1088/1755-1315/385/1/012019 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077692273&doi=10.1088%2f1755-1315%2f385%2f1%2f012019&partnerID=40&md5=37adeb16e09b94ab4a76ef2943c63587 Observations and Axial analysis models are combined into Space Syntax to study the corresponding relationship between a street network and how temporary urban interventions in a traditional shopping street in Little India, Kuala Lumpur, may affect public life. Little India was chosen as the case study because of its historical and cultural significance. The study aims to explore the most important temporary urban interventions-activity-based interventions in traditional shopping street through the spatial logic of street network. Static snapshots and people-following were conducted in Little India, to observe activity and movement during a whole day on a weekday and a weekend day. Two (2) parameters in Space Syntax were chosen including global integration and local integration to measure its urban interventions, activities, and movement among visitors in traditional shopping streets. The result indicates that there is a certain correlation among these parameters with the following spatial configurative analyses; all lines analyses and segment based angular analyses. It finds significant relationships between global integration and local integration, and the activity pattern. It is proposed in this paper that streets with a high degree of integration and adjacent to main streets; Jalan Tun Sambanthan is a key factor for carrying forward temporary urban interventions in Little India. More attention should be paid to the street network to preserve diversity, make the streets active, and importantly to improve public life. © Published under licence by IOP Publishing Ltd. Institute of Physics Publishing 17551307 English Conference paper All Open Access; Gold Open Access |
author |
2-s2.0-85077692273 |
spellingShingle |
2-s2.0-85077692273 The Regaining of Traditional Street: Combining Street Network Configuration with Temporary Urban Interventions |
author_facet |
2-s2.0-85077692273 |
author_sort |
2-s2.0-85077692273 |
title |
The Regaining of Traditional Street: Combining Street Network Configuration with Temporary Urban Interventions |
title_short |
The Regaining of Traditional Street: Combining Street Network Configuration with Temporary Urban Interventions |
title_full |
The Regaining of Traditional Street: Combining Street Network Configuration with Temporary Urban Interventions |
title_fullStr |
The Regaining of Traditional Street: Combining Street Network Configuration with Temporary Urban Interventions |
title_full_unstemmed |
The Regaining of Traditional Street: Combining Street Network Configuration with Temporary Urban Interventions |
title_sort |
The Regaining of Traditional Street: Combining Street Network Configuration with Temporary Urban Interventions |
publishDate |
2019 |
container_title |
IOP Conference Series: Earth and Environmental Science |
container_volume |
385 |
container_issue |
1 |
doi_str_mv |
10.1088/1755-1315/385/1/012019 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077692273&doi=10.1088%2f1755-1315%2f385%2f1%2f012019&partnerID=40&md5=37adeb16e09b94ab4a76ef2943c63587 |
description |
Observations and Axial analysis models are combined into Space Syntax to study the corresponding relationship between a street network and how temporary urban interventions in a traditional shopping street in Little India, Kuala Lumpur, may affect public life. Little India was chosen as the case study because of its historical and cultural significance. The study aims to explore the most important temporary urban interventions-activity-based interventions in traditional shopping street through the spatial logic of street network. Static snapshots and people-following were conducted in Little India, to observe activity and movement during a whole day on a weekday and a weekend day. Two (2) parameters in Space Syntax were chosen including global integration and local integration to measure its urban interventions, activities, and movement among visitors in traditional shopping streets. The result indicates that there is a certain correlation among these parameters with the following spatial configurative analyses; all lines analyses and segment based angular analyses. It finds significant relationships between global integration and local integration, and the activity pattern. It is proposed in this paper that streets with a high degree of integration and adjacent to main streets; Jalan Tun Sambanthan is a key factor for carrying forward temporary urban interventions in Little India. More attention should be paid to the street network to preserve diversity, make the streets active, and importantly to improve public life. © Published under licence by IOP Publishing Ltd. |
publisher |
Institute of Physics Publishing |
issn |
17551307 |
language |
English |
format |
Conference paper |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1828987874117156864 |