Eco-Aware Route Planning in Okinawa: A Case Study on the Impact of Gradient
Keywords: Urban Planning, Sustainable Transport, Data-Driven Mapping, Smart City, Geographic Information Systems
Abstract. The global climate crisis has entered a critical phase, with scientific consensus indicating meaningful emission reductions must occur within this decade to limit global warming to 1.5°C above pre-industrial levels. Road transport remains a major contributor, accounting for roughly 15% of global anthropogenic CO2 emissions. In Japan, passenger car transports alone generated approximately 101 million metric tonnes of CO2 in 2019. Okinawa bears a share of this burden with 858,004 registered passenger cars among roughly 1.38 million residents (Stats-Japan, 2024). Applying the US EPA’s standard figure of 4.6 metric tonnes of CO2 per passenger vehicle per year, Okinawa’s private car fleet alone is estimated to generate approximately 3.95 million metric tonnes of CO2 annually.This paper presents ”Eco-Mode”, a navigation framework built on OpenRouteService (ORS) to address this challenge. Building on the established relationship between road gradient and fuel consumption (Huang & Peng, 2018), we score per-segment emissions using a tiered gradient-based factor derived from Jiang et al., 2025, applying a routing algorithm constrained by travel time to identify the lowest-emission path. Across 20 routes spanning short urban trips to inter-city journeys, the Eco Drive route achieves a mean CO2 reduction of 9.8% (median 10.75%), with a mean travel time increase of 5.3%. Given a fleet of one million vehicles statewide, even partial adoption could yield reductions of thousands of tonnes of CO2 annually at negligible infrastructure cost.
