Step 1: Influence of Modal Alternatives.
Travel demand forecasting accounts for various transport modes (e.g., private vehicles, public transit like buses and metro, and non-motorized options). The introduction of new modes or enhancements to public transportation in the target year will alter travel demand distribution. \[\Rightarrow \text{Hence, statement (P) is correct.}\]
Step 2: Impact of Population.
Projected population in the target year is the primary driver of travel demand. An increased population directly correlates with a higher number of trips and consequently, greater travel demand. \[\Rightarrow \text{Hence, statement (Q) is correct.}\]
Step 3: Effect of Land Use.
The distribution of land use (residential, commercial, industrial) significantly impacts trip generation and attraction. For instance, a higher concentration of commercial zones will result in more work-related trips. \[\Rightarrow \text{Hence, statement (R) is correct.}\] Therefore, all three factors P, Q, and R are influential in predicting travel demand. \[\boxed{\text{P, Q, and R are all correct}}\]