Abstract: Maritime transport is a major source of environmental pressure in coastal and port cities. It affects air quality, underwater noise, and, more broadly, urban ecosystems. Although Automatic Identification System (AIS) data is widely available today, its use for continuous and transparent environmental monitoring at the urban scale is still limited. This paper explores how AIS-derived port traffic data can be used in a more open and interpretable way to support what we refer to as urban environmental intelligence. The analysis combines high-resolution AIS data with environmental indicators to examine how vessel activity evolves and how it differs across vessel types and seasons. The study examines how these traffic patterns relate to potential environmental pressures. Attention is also given to transparency and data openness to make results understandable and usable beyond expert communities. The findings suggest that transparent AIS-based monitoring can help identify periods and areas of increased environmental pressure.

Keywords: AIS data analytics, data transparency, emission intensity, open science, sustainable maritime governance, port-city ecosystem resilience

Pages: 484-493