Parking space cruising becomes a cause of congestion. Searching for a parking space give rise to added urban traffic congestion, energy, emissions from vehicle and time consumption. Understanding the scenario behind the drivers’ decision of selecting the parking lots is crucial. Developing models that reflects parking driver’s behaviour is significant to boost the performance of parking and transportation systems. This study aims to analyse the different behavioural considerations that influence the drivers to choose one parking type among three alternatives: on-street parking, off-street parking and multilevel parking. Variables included in the model are socio-economic characteristics, reason for choosing parking type, trip purpose, parking characteristics, parking behaviour, vehicle characteristics and parking price. A multinomial logit model (MNL) was developed from direct interview of drivers’ parking type choices and related deciding factors affecting parking in the city was found out. The findings can be used for building an effective parking policy and transportation planning.