Auto-rickshaw and its impact on the economy in Egypt (Case study: East Shubra Al-Khaimah district in Cairo)

Document Type : Research articles

Authors

1 B.Sc. in Civil Engineering - Benha University 2018

2 Assistant Professor of Highway & Transportation Engineering Faculty of Engineering Shoubra – Benha University

3 Assoc. Professor of highways &Transportation Engineering Faculty of Engineering Shoubra – Benha University

Abstract

The purpose of this research is to study the environmental, traffic, social, and economic impacts of the 
auto-rickshaw on Egyptian roadways. The case study included east of Shubra El-Khaimah in greater Cairo. The 
study deals with the economic effects of auto-rickshaw, including operating and maintenance costs, depreciation 
rates, and other costs. Data collected from the study area were including traffic volume, types of vehicles, fuel 
consumption rates, maintenance costs, wages, traffic map, and profit rates. Owners, drivers, and passengers were 
targeted in the surveys. The number of main streets in the study area containing auto-rickshaw, the impact of autorickshaw on travel time, accident rates, and demand rate for other modes of transportation. The analysis was done 
using SPSS software. we arrive at conclusions that will help to solve the problem and plan future studies. According 
to the study's social results, 71.17% of users are offended by auto-rickshaw traffic tariffs, 59.33% of passengers are 
dissatisfied with the age of auto-rickshaw drivers,33% are afraid of traffic accidents and 72% completely reject the 
presence of auto-rickshaws on the roads. The proposed amendments reduce congestion rates by 66.3% compared to 
the current situation. The authors discovered that replacing auto-rickshaws with vehicles working with clean energy 
and banning tuk-tuks in the study area reducedCO2 by 33.22%, NOX by 40.19%, CO by 78.40%, and HC by 
50.62%, and reduced travel time by 43.28%, and travel fees reduced by 90%.Standard criteria were followed for 
statistical work to ensure that all dimensions were dependable, with correlation coefficients of more than 0.50 for 
each item and its dimensions. Cronbach's alpha coefficient is greater than 60% for all study dimensions, and 
Cronbach's alpha coefficient for the total scale is larger than 80%. 

Keywords