TRANSPORTATION SYSTEM OF ADDIS ABABA IN CASE OF AKAKI KALITY SUB CITY

No Thumbnail Available

Date

2020-10-15

Journal Title

Journal ISSN

Volume Title

Publisher

Hawassa University

Abstract

Parking demand model represents the available parking needs and forecast the parking demands in the forms of mathematical equation using relatively easily accessible parameters, which represent the real condition. This serves to plan and nourish the continuously growing vehicular parking demands effectively and in order to provide economically feasible parking spaces on high priced urban area lands. Due to their physical appearance and maneuverability requirement, trucks consumed more spaces on parking facilities. So mostly, they provided separate facility from ordinary cars. This paper surveyed and described truck-parking areas besides proposing parking area demand model. Through process, it incorporates extensive surveys on 12 off street parking areas to determine the parking inventory and parking characteristics corresponding with fright vehicle traffic and truck drivers driving manners around Akaki Kality sub city of Addis Ababa. Using quantitative research method and data analysis on the data sourced from primary and secondary sources through coordination of different survey methods such as questioners; parking inventory survey forms and traffic volume studies supplemented by statistical data analysis software have been executed. During inventory, the average area of the studied parking facilities were founded 7817 square meters. In addition, on infrastructural perspectives the truck parking areas were poorly organized and equipped. Based on parking survey the average parking accumulation in studied zone was 111 trucks with parking load 267 trucks hour and parking occupancy of 67.91%. Since the study conducted during period of daytime traffic ban enforcement on trucks, besides showing the increase in the efficiency of off street truck parking during that period it proposes multi liner regression model

Description

Keywords

Off-Street Parking, Parking Survey, Parking Accumulation, Parking Occupancy

Citation

Endorsement

Review

Supplemented By

Referenced By