TY - GEN
T1 - Computationally mapping spatial properties of Chinese historic towns using space syntax
AU - Liao, Pan
AU - Gu, Ning
AU - Brisbin, Chris
AU - Rofe, Matthew
AU - Soltani, Sahar
N1 - Publisher Copyright:
© 2019 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong.
PY - 2019
Y1 - 2019
N2 - Due to its geographic size and long cultural history of fluctuating borders, China has a large number of historic settlements; each with their own unique geometric, cultural, social, and spatial characteristics. Despite the various studies that have attempted to qualitatively describe the spatial properties of historic towns, there are limited attempts to understand the spatial qualities of these towns through a quantitative approach, such as space syntax. This paper proposes and demonstrates a computational approach based on space syntax to map spatial properties of these towns. Four spatial features are examined and evaluated to capture the spatial patterns of Chinese historic towns: (1) axiality, (2) curvature, (3) intelligibility, and (4) synergy. The approach has been applied to four typical towns in China: Pingyao, Lijiang, Kulangsu, and Wuzhen. This computational approach provides a new way to complement existing qualitative measures of understanding the urban form and use of historic towns, providing a powerful tool to support the development of policy affecting historic town design/planning, heritage conservation, and heritage tourism.
AB - Due to its geographic size and long cultural history of fluctuating borders, China has a large number of historic settlements; each with their own unique geometric, cultural, social, and spatial characteristics. Despite the various studies that have attempted to qualitatively describe the spatial properties of historic towns, there are limited attempts to understand the spatial qualities of these towns through a quantitative approach, such as space syntax. This paper proposes and demonstrates a computational approach based on space syntax to map spatial properties of these towns. Four spatial features are examined and evaluated to capture the spatial patterns of Chinese historic towns: (1) axiality, (2) curvature, (3) intelligibility, and (4) synergy. The approach has been applied to four typical towns in China: Pingyao, Lijiang, Kulangsu, and Wuzhen. This computational approach provides a new way to complement existing qualitative measures of understanding the urban form and use of historic towns, providing a powerful tool to support the development of policy affecting historic town design/planning, heritage conservation, and heritage tourism.
KW - Chinese historic towns
KW - Space syntax
KW - Spatial properties
UR - http://www.scopus.com/inward/record.url?scp=85068393901&partnerID=8YFLogxK
M3 - Conference Paper
AN - SCOPUS:85068393901
VL - 1
T3 - Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
SP - 361
EP - 370
BT - Intelligent and Informed
A2 - Haeusler, Matthias Hank
A2 - Schnabel, Marc Aurel
A2 - Fukuda, Tomohiro
PB - The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
CY - Hong Kong
T2 - 24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019
Y2 - 15 April 2019 through 18 April 2019
ER -