https://orcid.org/0000-0003-0492-3534
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ABSTRACT
Streets and physical layouts can be inherent in a sustainable city by emphasizing the use of space with planned strategies by promoting the movement of people and social behaviors for enhancing an economic structure. An analysis of the space layout is beneficial for defining the urban areas that can affect street behavior. A GIS incorporated with a space syntax can help to propagate the effectiveness of a spatial analysis in a study on urban spaces. The integration of the computational pieces of both a GIS analytical tool and space syntax parameters will stimulate research oriented urban systems and spatial morphologies combined with a spatial database. However, the development of livability can be affected by a set of parameters that define the used space. Thus, this paper was aimed at examining the space syntax parameters for space visualization to evaluate street behavior using the GIS processing and space syntax methods. In this study, a spatial analysis was used to generate spatial information on traffic volume, while a space syntax was used to test the street behavior. Also, a predictive analysis was conducted to identify the correlation between traffic behavior and a set of parameters. The results showed that integration and direct visibility were significant to the traffic volume. Most of the streets that were linked to the commercial area showed high integration and direct visibility, which increased by more than half, compared with the unlinked areas. Based on the statistical analysis, both parameters recorded aprobability of less than 5%. The results showed that any space designed with a continuous, direct and clear traffic volume will lead to increased integration and direct visibility, thus influencing a natural vehicle movement.
Acknowledgments
The authors would like to thank Universiti Teknologi MARA (UiTM) for its support and partial funding of the study through the FRGS Grant (600-IRMI/FRGS/3(205/2019)). The authors would also like to thank all the staff members of the Surveying Science and Geomatics Department for the post-processing equipment support, and the individuals who were involved in and contributed to this study.
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Notes on contributors
Fazzami Othman
Fazzami Othman is a recent PhD student from the Surveying Science and Geomatics Department at Universiti Teknologi MARA (Uitm) Shah Alam, Malaysia. He holds a Master’s of Science in Built Environment from the same institution. His current research interests are the use of geospatial science tools and urban space methods for visualizing, monitoring and management, with an emphasis on social and criminal behavior.
Zaharah M. Yusoff
Zaharah M. Yusoff is a senior lecturer at Universiti Teknologi MARA (UiTM) Shah Alam, Malaysia. Currently, she is the coordinator of a research programme handling PhD and MSc students of Built Environment studies. Her educational background lies around town and regional planning, land development and administration and affordability studies concerning transportation and mobility. Empirically, her research work focuses on contexts ranging from physical and economic studies exploring spatial GIS techniques as analytical tools, other than qualitative and quantitative methods.
Siti Aekbal Salleh
Siti Aekbal Salleh is an Associate Professor at the Centre of Studies for Surveying Science and Geomatics. She has been an active researcher in the fields of GIS, remote sensing modeling and numerical simulation applications in urban studies. Her research interests lie in the field of geo-informatics technology, particularly in applied remote sensing and GIS. She is also very keen in exploring the areas of change assessments, the impacts of land surface processes, and their biophysical responses toward global, regional, and local climate conditions, including climate-terrestrial ecosystem interactions.