Author
Listed:
- Maryam Roosta
- Masoud Javadpoor
- Maryam Ebadi
Abstract
Vulnerability of the urban street network in times of crisis causes problem for the evacuation, rescue, emergency services and the reconstruction process of urban areas. Despite the importance of the street network in the urban form and its effect on resilience and vulnerability of urban areas, this issue has been less addressed in researches.The study sought to comparatively examine street network resilience in three types of urban fabrics using the Urban Network Analysis.Three urban areas of Shiraz with new (regular and checkered), old (organic) and middle (semi-checkered) street network have been studied using graph theory and network analysis approach and have been ranked using VIKOR technique. Indicators studied in these areas were Reach Centrality, Gravity Centrality, Betweenness Centrality, Closeness Centrality and Straightness Centrality, and ArcMap and Rhino software have been used to measure these indicators.The Reach, Gravity and Straightness indicators are better in region 8 (historical and organic street network), but in contrast, the Betweenness and Closeness indicators in this area make network resilience difficult. Region 11 of the new urban fabric with a regular street network, especially due to the lack of two indicators “Closeness” and “Betweenness”, has the highest network resilience in times of crisis within the studied indicators and in contrast, Region 8 which has included historical urban fabric has the least street resilience.The findings indicated that despite the appropriate status of “Reach” and “Gravity” indicators in historical and organic fabrics, the network of such fabrics was harmful due to high “Closeness” and “Betweenness” indicators in times of crisis and would not have the required resilience and efficiency. Strategies to reduce the two “Closeness” and “Betweenness” indicators in the street network of historical and organic fabrics, as well as increasing “Gravity” and “Reach” in the network of new fabrics, would be effective in promoting network resilience.Highlights The resilience of different form of street network is not well studied in the literature.The resilience of urban street networks has been examined in three types of urban fabrics.Selected neighborhoods have traditional, semi-planned, and planned street network.The urban network analysis of neighborhoods was investigated using the Centrality indicators.The street networks of planned neighborhoods shows higher resilience potential.
Suggested Citation
Maryam Roosta & Masoud Javadpoor & Maryam Ebadi, 2022.
"A study on street network resilience in urban areas by urban network analysis: comparative study of old, new and middle fabrics in shiraz,"
International Journal of Urban Sciences, Taylor & Francis Journals, vol. 26(2), pages 309-331, April.
Handle:
RePEc:taf:rjusxx:v:26:y:2022:i:2:p:309-331
DOI: 10.1080/12265934.2021.1911676
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Shenzhen Tian & Jialin Jiang & Hang Li & Xueming Li & Jun Yang & Chuanglin Fang, 2023.
"Flow space reveals the urban network structure and development mode of cities in Liaoning, China,"
Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
- Masoud Javadpoor & Ali Soltani & Leila Fatehnia & Negin Soltani, 2023.
"How the Built Environment Moderates Gender Gap in Active Commuting to Schools,"
IJERPH, MDPI, vol. 20(2), pages 1-16, January.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:rjusxx:v:26:y:2022:i:2:p:309-331. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rjus20 .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.