Research Publications
Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/4194
This main community comprises five sub-communities, each representing the academic contribution made by SLIIT-affiliated personnel.
Browse
3 results
Search Results
Publication Embargo Social Entrepreneurship in Road Safety and Traffic Management(SLIIT, Faculty of Engineering, 2024-10) Manage, S.I.S; Amarasingha, NThe objective of this research endeavour was to investigate the impact of social entrepreneurship on traffic management and road safety. Social entrepreneurship provides a novel approach to tackling road safety and traffic management, which are both critical issues that impact communities globally. In addition to identifying innovative social entrepreneurial initiatives that have been implemented in the field of road safety and traffic management, the study seeks to identify the attributes of organizations that have made contributions to road safety and traffic management. The study aims to investigate the ways in which social entrepreneurship initiatives contribute to the enhancement of traffic management systems and road safety measures. It will specifically assess the effects, efficacy, and potential for scalability and sustainability of these initiatives. It is anticipated that this research will provide insights into how social entrepreneurship can be utilised to effectuate social change in the domains of road safety and traffic management, thereby bridging the knowledge divide regarding the potential of social entrepreneurship in these specific areas. By means of qualitative research methodologies, such as interviews and case studies, social entrepreneurial initiatives in Sri Lanka's road safety and traffic management are analysed. The research also examines the potential influence of collaborations among governments, social entrepreneurs, and other relevant parties on the social dimension of traffic management and road safety. The results of this research have the potential to provide valuable insights for social entrepreneurs, policymakers, and practitioners regarding efficacious approaches to enhance traffic management and promote road safety. The primary objective of this research is to make a scholarly contribution to the domain of social entrepreneurship through an examination of its capacity to generate social change in the crucial sectors of road safety and traffic management.Publication Open Access Factors Affecting Red-Light Running of Pedestrians at Signalized Intersections(SLIIT, Faculty of Engineering, 2022-09-22) Herath, C; Amarasingha, NHundreds of pedestrians have died and many have been injured in the past decades as a result of Red Light Running (RLR) infractions. According to the United States Department of Transportation, 846 pedestrians have died and 143,000 have been injured in 2019 due to RLR violations. The majority of previous studies have focused on pedestrian behavior at an intersection, whereas only a few have looked into pedestrian RLR violations. The main objectives of this research are to find the pedestrians’ RLR rate in Sri Lanka and to find ways to reduce the RLR rate of pedestrians at the signalized crossing. Video observation surveys were conducted to collect data at three signalized intersections within Kandy city limits during weekdays for two hours per site. Pedestrian demographic variables such as gender and age; crossing characteristics such as crossing type, direction, crossing speed etc; and site characteristics such as crossing length, pedestrian green time, etc. were recorded. Chi-square and binary logistic regression tests were done. Results showed that out of 178 females, 130 had compliance with signal phases and out of 386 males, only 215 had compliance with RLR of a pedestrian. Furthermore, other independent variables such as age, crossing type, direction etc. were also associated with compliance RLR of pedestrians under Chi-square results. Based on the results of binary logistic regression, the variables such as gender, crossing type, number of traffic lanes, and pedestrian speed are significant when decreasing the log of probability -0.658, -3.040, -1.022 and -2.556 of compliance for RLR respectively. Variables that crosswalk utilization are also significant when increasing the log of probability of RLR 1.406 of compliance for RLR. The results would help develop safer pedestrian infrastructures and engineering countermeasures as well as assist the researchers and practitioners in better understanding pedestrian crossing behavior at signalized intersections.Publication Open Access Investigating a method for rating Sri Lankan roads through identifying the factors affecting road safety(SLIIT, 2022-02-11) Amarasingha, N; Ramanayake, D. M. SRoad safety assessment is imminent to reduce road accidents in Sri Lanka. The existing road safety assessments in other countries are inapplicable to Sri Lankan Road conditions as there are significant differences between the road conditions of Sri Lanka and other countries. This study aims to identify the governing roadside elements which are influential to the cause of accidents and can be used for road star rating. The study was conducted in three districts of Sri Lanka: Anuradhapura, Polonnaruwa and Kurunegala. The data for road characteristics were obtained through the Google Earth Web engine whereas accident data were collected from Sri Lanka Police. The variables such as road condition, road length, road width, delineation, shoulder condition, footpath, vehicle parking length, road divide status, roadside objects length, number of lanes, number of intersections, number of pedestrian crossings, and number of bus bays were analyzed to develop a Negative Binomial regression model considering the number of accidents as the dependent variable. The results reveal that six variables: number of lanes, road condition, number of intersections, road divide status, road section length and width of lane are significant towards the occurrence of accidents. Moreover, the results demonstrate the relationship between the road characteristics and the accident number which is crucial in road designing in order to reduce road accidents. The findings affirm the possibility in developing a road safety rating mechanism for Sri Lankan streets to standardize the road network with the international standards while enhancing the road conditions with reflecting to the required safety levels.
