Abstract

Street network attributes, including street connectivity, street integration, and pedestrian accessibility, are closely interrelated concepts that play an important role in achieving the sustainable approach challenges facing all large cities throughout the world. However, the lack of awareness of sustainable development in both the city center and villages in the suburban area results in a low value of street connectivity, less direct route to the destination, and discouraging pedestrians from moving. This research aims to examine street connectivity and street integration patterns that form from street connections at existing streets in Kota Bharu Kelantan. DepthmapX software was used to analyze street connectivity and integrations to identify and compare the existing street influencing people to move from one destination to another in Kota Bharu, Kelantan. The streets in the Kota Bharu, Kelantan city center area are chosen as the study site to investigate the street connectivity and integration values. Data analysis using DepthmapX software was performed after digitizing the map in AutoCAD software. Findings show that street connectivity and integration are of higher value when the streets are well connected to other streets in the main area and attraction area. The conclusions of this paper can help landscape architects and urban planners optimize the achievement of well-connected street networks that produce directness routes in short-distance destinations to develop a sustainable urban environment.

Details

Title
Patterns of streets connection for sustainable urban development in Kota Bharu, Kelantan, Malaysia
Author
Wan Saiful Nizam Wan Mohamad; Nor Iza Syazwani Lokman; Ramly Hasan; Awang, Ayub; Nor Hamizah Abdul Hamid; Lee Bak Yeo; Hassan, Khalilah; Ramlee, Noorliyana; Othmani, Nurul Izzati; Syahidah, Amni Mohamed
Section
Sustainability and Technology
Publication year
2023
Publication date
2023
Publisher
EDP Sciences
ISSN
22731709
e-ISSN
21174458
Source type
Conference Paper
Language of publication
English
ProQuest document ID
3187197463
Copyright
© 2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.