ABSTRACT
This chapter is a generic overview of the different models and methodologies used to simulate transport systems in urban and suburban areas. In transport models, the journeys are not addressed as points of origin and destination but are addressed as movements made from an origin zone to a destination zone. Trip generation is a process that quantifies the journeys made by people residing in or those who are active in a determined urban area or those who use vehicles relating to that area. Due to its relative ease of implementation and conceptual simplicity, multiple linear regression is the most frequently used tool in designing trip generation models. Random Utility Models have the advantage of better addressing the problem of trip generation inelasticity when faced with changes to infrastructure and zonal accessibility. The gravity model is one of the more frequently used methods for simulating transport. The gravity model aimed at achieving a better fit to the trip length distribution.
