Model for Estimating On-Street Night Parking Demand: A Case Study at Roorkee

Nowadays parking is a challenging issue all around the world, especially in the central business district (CBD) during the day and residential areas during night. Roorkee is one of the cities in India that has parking issues. Inadequate off-street parking and a tendency to park vehicles close to the destination result in high parking demand. The gradual increase in vehicle ownership per family is also the reason for increase in parking demand. These causes lead to a reduction in main carriageway width, a fall in flow speed, and unnecessary congestion and delay. The parking demand is also increasing in residential areas during night time. Urbanites do not have sufficient parking space in their possession and they park their vehicle on street side during the night. To control parking, a proper parking management policy should be adopted for the on-street night parking demand. In this study, one residential area-Ramnagar, Roorkee has been selected as the case study area. To estimate parking demand, a parking demand model is developed. Use variables such as vehicle ownership, the purpose of the trip and the presence of backyard garage are used for generating the demand model. The data were collected from in-out and questionnaire surveys. The linear regression analysis was done for the parking demand model using the statistical package for social sciences (SPSS). The R square value was 0.622, found out by Regression analysis. And the sensitivity analysis was carried out to investigate the effect of independent variables on parking demand.