On-street night parking demand estimation in residential area: Roorkee

Parking of vehicles is one of the most important issues of the urban transportation system in the CBD during the day and in residential areas during the night. The on-street night parking demand is increasing in residential areas due to the non-availability of sufficient off-street parking facilities on the premises. In this study, one residential area in Roorkee has been selected as the case study area. Socio-economic, demographic and parking characteristics were used to generate the parking demand model. The data were collected from the field using in-out and questionnaire surveys. Two parking demand models were developed using linear regression. The first model was developed without carpooling (car sharing), while the second model considers carpooling as a parameter. Initially, when the carpooling was not considered, the model could only explain 48% of the variance in the parking demand. Later, considering carpooling as a variable, the variance improves to 69%. The sensitivity analysis was carried out to investigate the effect of independent variables on parking demand. It was found out that the inclusion of carpooling in the residential area could decrease the parking demand by 10%.