Identifying Streets from Roads of Addis Ababa Using Space Syntax Analysis Tool
No Thumbnail Available
Date
2020-10
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Addis Ababa University
Abstract
Space Syntax analysis is a tool for analyzing the road system of the city and broadly used for
modeling vehicular and pedestrian movements, to control traffic pollution and on the
processes of route selection. The existing road system of Addis Ababa face different urban
problems and it’s difficult to have standardized streets so, this study explores how to identify
important urban roads that have potential to be converted into the street using space syntax
analysis tool based on greater consideration of the needs of people, rather than vehicles
since street differs from roads. The study uses Addis Ababa’s current and proposed road
network for the production of axial line and analysis integration and mean depth at the sub city level to identify major important roads of Addis Ababa and highly segregated roads,
respectively. Integrated streets in a system are assumed to be accessible from all other streets
and the value range (0-1) lowest value (0.1 -0.5), mid-value (0.5-0.9), and the highest value
(0.9 -1.0). The depth is the smallest number of syntactic steps to reach one space from
another so, the deepest street means a highly segregated street. According to this assumption
core area of the city which has a highly integrated value (>0.9) covers only 4% of Addis
Ababa city, and it laid some parts of Kirkos, Lideta, Arada, and Adiss Ketema sub-cities.
Also, 28% covered in integration (0.5-0.9), while the peripheral areas (intermediate and the
suburbs) are not integrated. The most segregated area of the city is found around the
riversides of the city and it needs urgent intervention. Kirkos sub-city has both highly
integrated roads and highly segregated areas.
Description
Keywords
street,, space syntax,, axial line,, integration,, mean depth,