Predicting Short-term Bus Ridership with Trip Planner Data: A Machine Learning Approach

To address the increasing passenger demand in the coming years and make public transport less crowded and delayed, insights into predicted passenger flow are needed. A wide range of studies has used and validated that smart card data can be one of the sound bases for predicting short-term passenger demand. However, it also has several...

Identification of the Hierarchy in Public Transport Networks based on Passenger Flow Patterns

In this study, a data-driven, generic and transfer-based methodology for separation and ranking the PTNs has been put forward. With the hierarchy of a network, this is beneficiary for the management and operation of operators for focusing on the higher level network layer and in turn provide better service for passengers. The study introduces...

Remodeling the urban space: Public transportation oriented development in Cape Town South Africa

This graduation project is not to give an answer but to place a number of arguments that a social segregation could be disorganized through a spacial intervention,a reformed public transportation system is able to make remarkable changes for the city in the social and ecomonical context. Due to the existing city network of Cape Town is...