A provincial government uses census-based demographic data, such as population size, age structure and household distribution, to determine the location and capacity of new public transport routes. While the model predicts high demand in densely populated

The most suitable statements to advise planners seeking to refine their approach to improve the accuracy of transport demand planning are: **c. a, b and e** Here’s why: - **a)** Mobility dynamics, such as migration, informality, and landscape, can significantly alter transport demand patterns. This highlights that changes in population and social behavior can influence demand beyond basic demographics. - **b)** Demographic data should be complemented by socio-economic and behavioural insights. This suggests that understanding people's economic status and behaviors is crucial for accurate demand forecasting. - **e)** Preferences for transport mode choice and trip timing influence actual system usage beyond population distribution. This emphasizes that how people choose to travel and when they travel can significantly impact transport usage. Together, these statements provide a comprehensive understanding of the factors influencing transport demand and suggest a more nuanced approach than relying solely on demographic data.