This paper proposes a novel framework for road data surveying and 3D urban visualisation based on deep-learning technologies, open data, and GIS techniques.Existing road inventory preparation methods are time-consuming, labour-intensive, inefficient, and lack an acceptable method for 3D urban visualisation in Sri Lanka. Thus, modern approaches are not applicable due to a lack of resources, technology, and financial capacity; the proposed framework will enable us to overcome these weaknesses.The study comprised of three main stages: a literature review, development of the framework, and its validation in Ranna area. The framework was applied to two consecutive model validation events: the first related to the road data surveying model and the second to the 3D urban visualisation model. Its proposed returned KAPPA Accuracy Scores were 92% and 90% respectively.The findings of this study further the use of cutting-edge deep learning and mapping techniques in transport and urban planning, making the preparation of road inventory surveys and 3D urban visualisations more cost-effective and efficient. Transport engineers, urban and regional planners, geographers, and GIS experts can employ the proposed framework for road data collection and 3D urban visualisation.
Airport industry has been a vast area which has been growing each second to cater to the demand of the passengers who have been arriving and departing through worldwide distributed airports for various types of purposes. This research had carried out to find out the Arrival Passenger Satisfaction of Bandaranaike International Airport Services. The passenger has been the king in the airport industry who can make a business success or a failure. To provide quality services as required by the passengers, airports should be following up on the modified strategies and amended policies. Because of an airport has been the entrance to the country which has been needed to be attracting new investments towards the country to build up the economy. BIA has been like our heart and it needs to perform well to keep the body alive A questionnaire had designed with 41 variables and a questionnaire survey had conducted. The target sample has been Bandaranaike International Airport users, although the sample size had 300, there had only 263 valid responses. Simple random sampling had used in this study and SPSS had used to analyze the data.The factors will be covered up as the independent variables and the dependent variable has been the passenger preference on BIA. Frequencies test will be run to all variables and for the demographic factors. A factor analysis had carried out to reduce the number of variables and grouping factors which have the same characteristics. Once this had completed the 41 variables had reduced to 9 variables. A hypothesis testing will determine the independent and dependents variables for the passenger satisfaction as well as a factor analysis model will be illustrated to identify the relationships between variables and demographic factors, correlations and reliability of the factors. Finally, the research findings had discussed, and recommendations had made. The basis of recommendations had to focus on customer service and comfortability to have an efficient and effective BIA service system.
As congestion is a growing issue in Sri Lanka, a quick and efficient solution is required as it is causing many negative issues both economically and socially. This research was therefore carried out to find out the demand factors for public transportation to reduce congestion. The objectives of this research were to find out the demand factors of private transport users to switch over to public transport, and this research also focused on the shortcomings of the current public transport system. After the collection of data through primary and secondary methods, the gathered data were used to model a public transport system that will try to please all markets while generating more business for service providers.An online based questionnaire survey was conducted with an instrument of 28 questions. The target sample is both public and private transport users, although the sample size was 500, there were only 423 valid responses. Simple random sampling was used in this study and SPSS was used to analyse the data. A factor analysis was carried out to reduce the number of variables and grouping factors which have the same characteristics. Once this was completed the 28 variables were reduced to 10 variables.Hypothesis testing was carried out to validate the hypotheses. The research findings explain that the willingness of people to move from private automobiles to modes of public transport depends on the comfort ability and safety, where the comfort ability includes the availability of reserved seating, cushioned seats and air conditioning. Surprisingly the availability of technology on board the bus/train was deemed not so important although the level of service at boarding points was proved to be a crucial factor. Respondents who were already users of public transport, surprisingly created a very good picture of the existing public transport system. The basis of recommendations was to focus on customer service and comfort ability to have an efficient and effective public transport system.
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