Step 1: Read the slope of the demand line.
Write the demand function as $Q = 43000 - 850P$. Here the coefficient $850$ tells us how many riders are gained or lost for every rupee change in fare: $\frac{dQ}{dP} = -850$.
Step 2: Apply this rate to the actual fare cut.
The fare drops from Rs. 30 to Rs. 25, so $\Delta P = 25 - 30 = -5$.
Using the constant slope, the change in ridership is:
\[ \Delta Q = \left(\frac{dQ}{dP}\right) \times \Delta P = (-850)(-5) = 4250 \]
Ridership goes up by 4250 riders/day, since the fare fell.
Step 3: Get the base ridership to compare against.
At the original fare $P = 30$:
\[ Q_1 = 43000 - 850(30) = 17500 \]
Step 4: Express the change as a percentage of the base.
\[ \% change = \frac{4250}{17500} \times 100 = 24.2857\ldots\% \]
Because this is a straight line demand curve, the slope method and the plug-in method must agree, and they do.
Step 5: Round off and state the result.
To two decimal places, the ridership rises by 24.29%, which lies within the accepted range of 24.00% to 25.00%.
\[ \boxed{24.29\%} \]