Hotel Location Optimizer

For each neighborhood, the tool estimates a commute time to every attraction on your itinerary and averages them into an itinerary-wide travel-time score. It then normalizes hotel price into a cost score (cheapest area scores best) and converts transit access + your safety/effort preference into a convenience/fit score. Finally, it computes a weighted total: Total = commute*timeWeight + cost*budgetWeight + convenience*(transit quality preference) + safety/effort fit adjustment.

If you increase the commute weight, the optimizer will tolerate higher nightly costs to reduce total travel time. If you increase budget weight, it will favor cheaper neighborhoods unless the time trade-off becomes clearly worse. Also, all attractions are treated equally by default—so a “far-out” stop can noticeably shift the average commute time and the final ranking.

If your itinerary has only 1–2 stops, average commute time can swing heavily based on a single far location—so rankings may feel less stable. If a neighborhood lacks transit/commute info, the tool lowers confidence or uses an estimate rather than pretending it’s precise. If multiple neighborhoods land very close in score, the tie-break favors shorter average commute time, then better transit, then lower cost.

Commute times are estimates based on typical conditions, not real-time disruptions like strikes, weather spikes, or sudden closures. “Safety” here is a preference/effort proxy (your comfort with convenience and low-friction transit), not an objective safety guarantee. Use the results as a decision aid—then confirm details like exact hotel-to-transit access, walking distances, and late-night routes for your dates.