Modeling of Street Address Using Multiple Reference Geocoding and Address Point Technique. A Case Study of Yeka Sub City, Addis Ababa, Ethiopia
| dc.contributor.advisor | Andinet, Ashagrie (Mr.) | |
| dc.contributor.author | Worku, Mammo | |
| dc.date.accessioned | 2019-05-12T11:19:51Z | |
| dc.date.accessioned | 2023-11-28T13:46:11Z | |
| dc.date.available | 2019-05-12T11:19:51Z | |
| dc.date.available | 2023-11-28T13:46:11Z | |
| dc.date.issued | 2019-02 | |
| dc.description.abstract | Addresses are the essential means by which people tried to conceptualize geographical position features using streets and accessibility is the ultimate goal of street address. Poor street address results in a serious challenge in terms of substantial loss of accessibility, less aware for usage, and impracticable for services deliberation to achieve social integration. This comes true for under implementation of street address as pilot project in Addis Ababa City. The aim of this research was made on the street address modeling based on multiple reference geocoding and address point technique. Focused group discussion and field survey was conducted on the identified factors and spatial document analysis was applied to generate street address model. The model geocoding involves entity relation and physical diagram analysis, roundabouts Euclidian and street analysis, and codification of address elements. In addition, Four algorithms were explored, evaluated and integrated with address point analysis. Also, comparison and conceptual framework analysis for party-centric data usage were made. Results indicated that reference points, streets, entrances, parcels, buildings, floors, and floor sections are the basic street address elements which can be linked with the owners. Based on the indicator and Euclidian analysis of four roundabouts, CMC roundabout has the highest proximity result for the study area. Street network infrastructure rates 24.9% while built-up, non-built-up and others occupy with a sum of 75.1% in the landscape of the study area. Among those streets, 29.1% of them are classified as sub-streets while 1.2% of them were classified under the path. The analysis made on the exploration of centroid algorithm revealed that, of the total four algorithms, the biggest inscribed circle method has a 97.5% match rate and the centroid was fit 100% inside the polygon. The comparison results depict that the new model was more user-friendly, comprehensive, and navigable than existing one. This is to mean that the new model is integrated with the address point to simplify the address geocoding, and supports a conceptual framework model of an improved navigation system which is analyzed under this research. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/18235 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Multiple reference point | en_US |
| dc.subject | Address point | en_US |
| dc.subject | Geocoding | en_US |
| dc.subject | Polygon centroid | en_US |
| dc.subject | Euclidian analysis | en_US |
| dc.title | Modeling of Street Address Using Multiple Reference Geocoding and Address Point Technique. A Case Study of Yeka Sub City, Addis Ababa, Ethiopia | en_US |
| dc.type | Thesis | en_US |