Case study
Wisers-HKUST Tourism Index
In short
A predictive index of Hong Kong tourism demand, published as a live bilingual dashboard.
A joint HKUST and Wisers project. I built and maintained the public site that publishes the index: forecast and actual figures, component indexes, and a bilingual interface. Still live.
What it is
The Wisers-HKUST Tourism Index is a predictive index of tourism demand for Hong Kong, built from social big data using natural language processing and statistical models. It is a partnership between HKUST and Wisers, and the index is published publicly.
The dashboard shows a composite index alongside component indexes for visitor arrivals, hotel occupancy and hotel average daily rate, with each month marked as either actual or forecast.
What I built
I built and maintained the public-facing site: the dashboard that renders the index and its components, the month-by-month actual and forecast views, the region selector, and the bilingual English and Chinese interface. A white paper is published alongside it, and full data sits behind a login.
Under it: a server-rendered Node.js and Express app, MongoDB for storage, and Chart.js drawing the composite and component indexes. It is still live at tourismindex.hkust.edu.hk.
Note
The index methodology and modelling are the research team's work with Wisers. My scope was the product surface that publishes it.
Built and maintained the public dashboard for a joint HKUST and Wisers tourism index.