7th Int. Conf. on Data Science & SDGs EC - 016 December 18-19, 2019, pp 103-119 Dept. of Statistics, University of Rajshahi, Bangladesh Statistical Application for the Analysis of Traffic Congestion and Its Impact in a Hill City Utpal Kumar De1; Gitumoni Rajbongshi2 1Department of Economics, North Eastern Hill University, Shillong, 793022, Meghalaya, India, Email:
[email protected] Ph: +91-9436102066 2Department of Economics, North Eastern Hill University,Shillong, 793022, Meghalaya, India Email:
[email protected] ,Ph: 91-8787448383 Abstract: Traffic congestion has been a severe problem of any growing urban area in the world that imposes drastic economic and social cost on the urban population. The livelihood activity and welfare are highly associated with the traffic flow pattern in the city. Over the years, with rising affluence, number of vehicles has increased disproportionately with road length and space. In East Khasi Hills district of Meghalaya, road length increased from 1696 KM in 2001 to merely 2050 KM in 2015, i.e., by 20.87 per cent. However, number of vehicles during the same period increased from 34996 to 137753, i.e., by 293.63 per cent. The problem is more acute in the hilly areas like Shillong due to scarcity of land space to enhance road width, hill topography and curvature along with difficulty and huge cost of construction. Steep hill slops and narrow space with rising vehicles in the peak hours block speedy movement of people, when there is an urgent need. However, congestion varies across space and time of the day. It depends on topography of road, activity pattern and timing of vehicle use, locational pattern of institutions across length and breadth of the city.