An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: A Cross-City Real-Data Case Study

This dataset is the reproduction bundle for the article "An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: A Cross-City Real-Data Case Study", submitted to Sustainable Computing: Informatics and Systems (Elsevier). It bundles all data, source code, and result files needed to reproduce the five-city empirical case study end-to-end, at the production-default Adaptive Large Neighborhood Search (ALNS) budget of 300 iterations and 3 restarts per seed, on 30 independent random seeds per method per city, without requiring any additional Google Maps Platform billing.