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