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| dc.contributor.author | Ermias, Mamo Teklemariam | |
| dc.date.accessioned | 2023-06-16T07:24:23Z | |
| dc.date.available | 2023-06-16T07:24:23Z | |
| dc.date.issued | 2023-03 | |
| dc.identifier.uri | http://ir.bdu.edu.et/handle/123456789/15378 | |
| dc.description.abstract | Traffic collisions have significantly increased in Ethiopia. Finding "black spots" is the first and most important phase in the road safety study. A few studies in RTCs were carried out without using the best techniques for identification. Using GIS, this study aims to identify the RTC hotspots in Debre Birhan City, investigate the local causes of these crashes, and propose a remedy for the city's road networks. Further, they investigated RTC variations with spatial and temporal in Debre Birhan City. Road crash data for the city of Debre Birhan from 2016/17 to 2020/21 was used. The GIS database includes details about the collision, including the time, place, type of vehicle, and number of injured or fatalities. Studies on crash analysis aim to identify collision hotspots. Using ArcGIS-based hotspot analysis and network kernel density estimate methods, black spot areas in the city were found. The weight-severity index method was used for prioritization, and crash types and pattern analysis were applied. Physical site surveys and questionnaires were conducted to analyze the common road safety issues at the "black spots." Rear-end collisions, angle collisions, and pedestrian collisions were observed to occur frequently; weekends (Sunday and Saturday) have the highest crash records of the week; dump trucks and minibuses account for 60% of all crashes; and male and young (age 18–30) drivers accounted for the majority of crashes. Arc GIS-based analysis tools and methods with prioritized ones revealed that "Semayawi" church, "Fabrica Megenteya," "St. Selassie," "St. Geberaile Megenteya," "Aqua Safe," "Noc," "Agipe," and "Arsema" were places where more frequent and severe RTCs occurred. Poor pedestrian and roadway facilities, sight distance visibility, traffic control devices and signs, street vendors, road user varieties like animals, and driver misbehavior have all been noted during the contributing factors study. Improving the road and pedestrian facilities, using guided traffic control signs and devices, enforcing laws, and providing separate tracks for animal-drawn carts and animals have been suggested as potential intervention measures to alleviate RTCs in the black spots. The study's final recommendation is for the police agencies to manage their data in a better way. It also suggests examining the existing driver training program systems, engineering measures, and the efficiency of the laws. Keywords: RTCs, Geocoding, NKDE, Hotspot, and Black-spots | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | Civil and Water Resources Engineering | en_US |
| dc.title | ROAD TRAFFIC CRASHES BLACK SPOT IDENTIFICATION USING GIS AND COUNTER MEASURES (A CASE STUDY IN DEBRE BIRHAN CITY) | en_US |
| dc.type | Thesis | en_US |
