In August 2017, the Bolivian government passed a contentious law downgrading the legal protection of the Isiboro-Sécure National Park and Indigenous Territory (TIPNIS, for its Spanish acronym), the ancestral homeland of four lowland indigenous groups and one of Bolivia's most iconic protected areas. Due to its strategic position straddling the Andes and Amazonia, TIPNIS represents not only a key biodiversity hotspot in Bolivia, but one of the most biodiverse regions on Earth, harboring exceptional levels of endemism and globally important populations of megafauna, as well as protecting substantial topographic complexity likely to support both wildlife migration and species range shifts in response to climate change [1]. The new law, set to authorize the construction of a deeply-contested road through the core of the park, has reopened one of the highest profile socio-environmental conflicts in Latin America. Roads in tropical forests often lead to habitat conversion, and indeed within TIPNIS more than 58% of deforestation is concentrated 5 km or less away from existing roads. It, therefore, seems very likely that the planned road will magnify the current scale and pace of deforestation in TIPNIS, underscoring the urgent need for revisiting the road plans.

Green Paths is a prototype of route planning software for finding exposure-optimised routes for active travel. It incorporates external data on environmental exposures, including traffic noise levels, air quality, and street-level greenery into the street and paths network produced by the OpenStreetMap project. Written in the Python programming language, the software applies a novel environmental impedance function in the least cost path routing to find exposure-optimised routes. Routes for externally defined origin-destination pairs can be queried via a RESTful API. The API returns alternative routes equipped with rich exposure data. The published version of the software has been applied in population level environmental exposure assessment and in an end-user-oriented web-based route planner application designed for use in the Helsinki Metropolitan Area.

Urban travel exposes people to a range of environmental qualities with significant health and wellbeing impacts. Nevertheless, the understanding of travel-related environmental exposure has remained limited. Here, we present a novel approach for population-level assessment of multiple environmental exposure for active travel. It enables analyses of (1) urban scale exposure variation, (2) alternative routes’ potential to improve exposure levels per exposure type, and (3) by combining multiple exposures. We demonstrate the approach’s feasibility by analysing cyclists’ air pollution, noise, and greenery exposure in Helsinki, Finland. We apply an in-house developed route-planning and exposure assessment software and integrate to the analysis 3.1 million cycling trips from the local bike-sharing system. We show that especially noise exposure from cycling exceeds healthy thresholds, but that cyclists can influence their exposure by route choice. The proposed approach enables planners and individual citizens to identify (un)healthy travel environments from the exposure perspective, and to compare areas in respect to how well their environmental quality supports active travel. Transferable open tools and data further support the implementation of the approach in other cities.

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