Identifying Streets from Roads of Addis Ababa Using Space Syntax Analysis Tool

dc.contributor.advisorAssefa, Tebebu (PhD)
dc.contributor.authorMulushewa, Feven
dc.date.accessioned2021-03-12T10:39:40Z
dc.date.accessioned2023-11-08T11:26:11Z
dc.date.available2021-03-12T10:39:40Z
dc.date.available2023-11-08T11:26:11Z
dc.date.issued2020-10
dc.description.abstractSpace 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.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/25449
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectstreet,en_US
dc.subjectspace syntax,en_US
dc.subjectaxial line,en_US
dc.subjectintegration,en_US
dc.subjectmean depth,en_US
dc.titleIdentifying Streets from Roads of Addis Ababa Using Space Syntax Analysis Toolen_US
dc.typeThesisen_US

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