Cities in developing countries are experiencing unprecedented urban growth. Unfortunately, this is often accompanied by the negative impacts of sprawl as a result of rapid motorization such as congestion, air pollution, greenhouse gas emissions, inefficient use of energy and time, and unequal accessibility.

A Direct Ridership Model (DRM) for predicting Bus Rapid Transit (BRT) patronage in Southern California is estimated. Attributes of bus stops and their surroundings constitute the data
observations of the DRM, enabling a fairly fine?resolution of analysis to be carried out on factors that influence ridership. The best?fitting DRM revealed that service frequency strongly