Step 1: Role of modal alternatives.
Travel demand forecasting considers different transport modes (e.g., cars, buses, metro, non-motorized modes). If the target year includes introduction of new modes or improved public transport, travel demand distribution changes.
\[
\Rightarrow \text{Hence, statement (P) is correct.}
\]
Step 2: Role of population.
The most direct factor influencing travel demand is the projected target year population. More population means more trips and more travel demand.
\[
\Rightarrow \text{Hence, statement (Q) is correct.}
\]
Step 3: Role of land use.
Land use (residential, commercial, industrial distribution) strongly affects trip generation and attraction. For example, more office zones → more work trips.
\[
\Rightarrow \text{Hence, statement (R) is correct.}
\]
Thus, all three factors P, Q, and R affect prediction of travel demand.
\[
\boxed{\text{P, Q, and R are all correct}}
\]
P and Q play chess frequently against each other. Of these matches, P has won 80% of the matches, drawn 15% of the matches, and lost 5% of the matches.
If they play 3 more matches, what is the probability of P winning exactly 2 of these 3 matches?