DEVELOPMENT OF MODAL SPLIT MODELS WITH BEHAVIOURAL INTENT FOR INTER-CITY TRAVEL

Abstract

During the second half of the last century, urban population in India has grown enormously. This rapid growth has resulted in tremendous rise in travel demand may be intra-city or intercity. Travel is defined as `traveling from one city to another'. Such travel can be carried out by using various travel modes, individual or in combination with others. Examples of inter-city travel modes are air services, state transport undertaking services, government run rail-based services, private or hired car services, motorized two-wheelers, tractor with trailers, animal drawn vehicles, etc. This study is an attempt to understand the intercity travel choices behavior of residents Roorkee city and to model that behavior. A survey questionnaire was designed to collect information related to the intercity travel made by the residents along with their personal and household characteristics. Categorized information was collected for different travel distance bands as well as by purpose of travel. Personal household interview survey was conducted at randomly chosen households. A final sample of 700, constituting 2.5% of households in Roorkee city was used for data analysis and modeling. Data was analyzed to bring out the variation in the characteristics of households with respect to the household income, demographics & size and vehicle ownership; personal characteristics like gender, age of respondent, monthly income, education status etc; and travel information like usage of travel mode by travel distances and purpose, travel time and cost, monthly expenditure on transportation, use of different services provided by modes etc. Multinomial logit models were developed to direct the modal choices made in different travel distance bands. It was observed that the goodness of fit statistics for the models developed were high. Different variables were found becoming significant with the change in travel distance bands. Subjective value of time was found higher than the average hourly income of a household..