Interesting challenge! I like how this problem pushes us to think about optimization in terms of both distance and cost—it really sharpens problem-solving skills. One thing I’ve noticed is that breaking the problem into smaller logical steps before diving into code often makes the solution flow more smoothly. Sometimes, just like planning an actual trip where you’d consider routes, stops, and even services along the way (similar to how people in Boston might plan their airport transfers), mapping out constraints in advance really helps here.

Out of curiosity, when you solved this challenge, did you approach it more through graph algorithms like Dijkstra’s, or did you take a different route?