On-Street Night Car Parking Demand Estimation in Residential Areas: A Case Study at Delhi

The parking problem is a huge issue everywhere in the world. Delhi is one of India’s biggest cities, which is affected by parking problems. The gradual growth in income and vehicle ownership per family is also the reason for the increase in parking demand. Day by day, the parking demand is also increasing in residential areas during nighttime due to insufficient space for car parking in most houses in residential areas, which leads to roadside parking at night. An appropriate management strategy should therefore be put into place for on-street night parking demand. In this study, three residential areas—Ber Sarai, Jia Sarai, and Katwaria Sarai, Delhi, have been selected as the case study areas. Parking demand models are developed to estimate the parking demand and determine the important parameters. The demand model's formation includes parameters like the number of cars owned, the presence of garage facilities, future car ownership, etc. The parking accumulation is found from field surveys such as in–out survey and license plate survey. The parking volume and peak hours for each location are obtained using a questionnaire survey. The parking demand model is generated using linear regression analysis using a statistical package for social sciences (SPSS). Using regression analysis, the good parking demand model with less error is found. In this study, a parking policy is also suggested to reduce and control parking demand during night-time based on vehicles’ locations and parking demand.