Travel Demand Model for a Typical Nigeria University

University campuses have unique transportation requirement that may be characterized with a high concentration of trips during multiple peaks periods. These campuses are often of the largest employers in small to medium size cities. It is therefore critical to examine the factors that are significant to campus travel demand models. One of the major roles of transportation modeling is to forecast travel demand based on changes in the transportation system. The models are used to predict changes in travel and utilization of the transportation system in response to changes in land-use, demographics and socio-economic conditions. This paper presents the result of a research on developing travel demand model for a typical Nigeria University using Federal University of Agriculture, Abeokuta as a case study. Models based on Multinomial logit (MNL) were used to model both the number of trips and the choice of mode to campus. The results showed that 52% of student population makes a single trip per day and about 40 % make two trips per day. Moreover, 54 % of the student lives very close to campus which is comparable with North Dakota University student with 52.6 % living within 3.2km of the campus. The mode