Leader of the Research Group: Dr. Shakil Mohammad Rifaat
Study on the Effect of Road Infrastructure, Socio-economic and Demographic Features on Road Crashes in Bangladesh.
The objective of the study was to explore the relationship between road infrastructure, socioeconomic and demographic features of a district and road accidents. Road infrastructure features such as length of different functional classes of road (i.e., length of National Highways, Regional Roads, Local roads in a district, length of paved and unpaved roads etc.), socioeconomic and demographic features (i.e., district wise total population, gender, education, income etc.) were used in this study to develop statistical model. Multiple linear model was used to correlate between these factors and road crashes. The outcome of the model identified the factors which increase or decrease district wise road crashes.
Factors Affecting Mode Choice: A Case Study in Dhaka.
In the past, most of the studies on mode choice were based on the effect of travel time or travel cost. Recently some projects related to transportation infrastructure development such as flyover, metro rail etc. are going on and to be built in future. For this reason a study was imperative to establish a relationship among people's socioeconomic, demographic and travel pattern characteristics with mode choice. The aim of the study was to examine the effect of socioeconomic, demographic and travel pattern in choosing different modes such as car, bus, walking, CNG, motorcycle etc using multinomial logit model.
An Exploratory Study on Ready Made Garment Workers’ Road Safety Risk Perception.
Bangladesh is heavily dependent on its Ready Made Garment (RMG) industry which is the biggest source of foreign currency, mass employment and socio-economic development. Since the majority of the garments workers choose walking as their main mode of transport, including commute to and from work, they generate a serious economic and social issue because pedestrian traffic injuries are a major health and safety problem around the world, especially in developing countries. Therefore, this study aims to explore RMG workers' traffic safety perception, particularly from a pedestrian's perspective. A questionnaire survey was administered to 1000 workers and the data collected was explored using a linear regression model. Our results showed that risk perception varied significantly with the worker’s age, income group, marital status, number of children, mode of transport, average weekly walking time, educational qualification, previous accident related experience, etc. This study will help policy makers and transportation engineers to identify the most at-risk RMG groups to target any pedestrian safety improvement programs.
Effective Implementation of Variable Message Sign (VMS) in Dhaka City
Variable Message Signs, a way of informing drivers about road conditions and a potential safety measures has already got popularity in different countries like U.S.A, UK, Canada, Japan, Germany, Malaysia, Sweden and other developed countries of the world. Extensive research regarding VMS has been carried out all over the world. Few VMS have been also noticed across the road of Dhaka city with faulty way of installation, erroneous message, poor management and less capability to attract drivers. It is observed that no research activities regarding VMS have been carried out during or after installation of VMS in Dhaka city. The objective of the research project is to implement VMS effectively by finding out the difference in perception among different survey groups (drivers, pedestrians, highway professionals). The project also explored reasons for different perception and finally recommendations based on findings are suggested for effective implementation of VMS in Dhaka city.
A Study on the Relationship between Driver’s Characteristics and Information Displayed in Variable Message Sign (VMS)
The purpose of this study is to investigate the relationship between driver’s characteristics and information displayed in variable message sign (VMS). The study was done in Dhaka city, the capital of Bangladesh. A questionnaire survey was conducted to find out relationship between drivers’ different characteristics and their choice of different message type. Using Multinomial Logit Model the survey data was analyzed. From the study it is observed that, different types of characteristics of the drivers like personal characteristics, driving and accident experience has significant effect on their choice of message. The study will help the policy makers to implement VMS effectively and to ensure the optimum use of VMS.