Cook Islands Green Roads Profile 2025

Outline

COOK ISLANDS

GREEN ROADS PROFILE


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The ATO green roads profiles present country-level perspectives on how 35 Asia-Pacific economies are addressing the development and management of sustainable eco-friendly roads. Drawing from diverse datasets and policy documents, the profiles highlight practices and measures that contribute to greener transport infrastructure.

Developed by the Asian Transport Observatory (ATO) in partnership with the International Road Federation (IRF), the profiles are designed to complement the Green Roads Toolkit. The toolkit provides a practical reference for integrating good practices across nine dimensions:

This 2025 edition builds on earlier work to provide a comprehensive resource for guiding the planning, development, construction, and management of greener, more sustainable roads.

Background

Indicator - Dimension Matrix



The Cook Islands presents a distinct profile in the Pacific: a nation of 14,000 people where the machine outnumbers the human. The road network is modest, measuring 398 kilometers, comprised entirely of local and rural roads. Yet, the density of ownership is staggering. Motorization hit 1,036 vehicles per thousand population in 2024, a sharp rise from 634 at the turn of the millennium. For context, the Asia-Pacific regional average sits far lower at 317.Of the 16,297 registered motor vehicles in the Cook Islands, about 60% are motor bikes while the remainder are four-wheel cars and trucks.

This unique composition dictates the energy profile. Road transport greenhouse gas (GHG) emissions reached 42,000 tonnes of CO2e by 2024, representing a dominant 86% share of total transport emissions. The trajectory is concerning. While economy-wide emissions grew at a manageable 1.8% per year, road transport emissions increased by 4.1% annually since 2000. The sector is decoupling from the broader economy, but in the wrong direction.

Between 2015 and 2024, the value of electric vehicle (EV) imports totaled $1 million, capturing 2% of the total road vehicle import market by 2024. There is a mismatch in the transition dynamics. While the existing fleet is overwhelmingly two-wheeled, the EV imports (in value) tell a different story: 88% are light-duty vehicles (LDVs) and only 12% are two-wheelers. The UNEP E-mobility Readiness Index scores the Cook Islands at 37 out of 100, indicating that the market is moving faster than the regulatory framework.

Geography is destiny, and for the Cook Islands, that destiny includes volatility. Since 2000, 100% of recorded natural disasters have been storms. The country faces estimated average annual losses of $722,500 to transport infrastructure. Roads bear the brunt, accounting for approximately 57% of these losses. While bridges and tunnels constitute a mere 0.1% of the infrastructure stock, they absorb a disproportionate 4.5% of the financial damage, highlighting the fragility of critical nodal points.

The conflict between grey infrastructure and green capital is acute. The islands hold seven Key Biodiversity Areas (KBAs), yet four of these contain road infrastructure. The intrusion is dense: there are 758 meters of road for every thousand square kilometers of KBA. This is an order of magnitude higher than the Pacific Islands average of 25 and the Asia-Pacific average of 88. The ecological fragmentation is significant.

Conversely, the air remains relatively breathable, though not without cost. The concentration of PM 2.5 was recorded at 6.1 micrograms per cubic meter in 2019. Transport is a minority contributor here, responsible for 22 tonnes of PM 2.5 emissions in 2022, with the road sector specifically contributing 20% of that figure. Since 2015, road transport PM 2.5 emissions have successfully reduced by 4.5% per year.

The road network, while extensive in density, leaves gaps in equity. Four thousand people—significant in a population of 14,000—remain outside the 2-kilometer reach of an all-season road. This isolation leaves rural populations susceptible to shocks and hinders recovery when the inevitable storms hit. On the safety front, the trends are stagnant. The World Health Organization estimated 3 road crash fatalities in 2021. The economic consequences of road traffic crashes in Cook Islands are substantial. In 2021, these fatalities and serious injuries cost an estimated 16 million USD.

The Cook Islands faces a "micro-scale, macro-impact" dilemma. It possesses a hyper-motorized society running on a fossil-fuel backbone that is growing faster than the economy itself. The infrastructure is intimately exposed to climate hazards, draining value annually. The path forward is challenging.

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Decarbonization

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Climate Resilience

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Water and Land Management

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Reducing Pollution

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Preserving Biodiversity

Sustainable Materials Sourcing and Construction Practices

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Improving Quality of life

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Disaster Preparedness

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Fostering Inclusive Growth

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Supporting Information

Road Infrastructure Pipeline

Aroko Road Widening ProjectNone0.75 million USDNone
Mangaia Road UpgradesNone3 million USD3
Miscellaneous Bridge Upgrades (Rarotonga)None8.3 million USDNone

Unit Cost Road Projects

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Road Transport Policy Landscape

Road Transport Policy Targets

No data


Road Transport Policy Measure Types

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References

AIIB. (n.d.). MEASURING TRANSPORT CONNECTIVITY FOR TRADE IN ASIA. https://impact.economist.com/perspectives/sites/default/files/eco141_aiib_transport_connectivity_4.pdf/

Asian Transport Observatory. (2025). Asia and the Pacific's Transport Infrastructure and Investment Outlook 2035. https://asiantransportobservatory.org/analytical-outputs/asia-transport-infrastructure-investment-needs/

Barrington-Leigh, C., & Millard-Ball, A. (2025). A high-resolution global time series of street-network sprawl. https://journals.sagepub.com/doi/10.1177/23998083241306829

CDRI. (2023). Global Infrastructure Risk Model and Resilience Index. https://giri.unepgrid.ch/

CIESIN. (2023a). Rural Access Index [Dataset]. https://sedac.ciesin.columbia.edu/data/set/sdgi-9-1-1-rai-2023

CIESIN. (2023b). SDG Indicator 11.2.1: Urban Access to Public Transport, 2023 Release: Sustainable Development Goal Indicators (SDGI). https://sedac.ciesin.columbia.edu/data/set/sdgi-11-2-1-urban-access-public-transport-2023

EDGAR. (2025). GHG emissions of all world countries: 2025. Publications Office. https://data.europa.eu/doi/10.2760/9816914

Ember. (2024). Electricity Data Explorer [Dataset]. https://ember-energy.org/data/electricity-data-explorer

EM-DAT. (2025). EM-DAT - The international disaster database. https://www.emdat.be/

European Commission. (2024). Global Air Pollutant Emissions EDGAR v8.1 [Dataset]. https://edgar.jrc.ec.europa.eu/dataset_ap61#sources

IEA. (n.d.). Fossil Fuel Subsidies. IEA. Retrieved April 19, 2025, from https://www.iea.org/topics/fossil-fuel-subsidies

ILO. (2025). ILOSTAT [Dataset]. https://rplumber.ilo.org/files/website/bulk/indicator.html

ITDP. (2024). The Atlas of Sustainable City Transport. https://atlas.itdp.org/

Koks, E., Rozenberg, J., Tariverdi, M., Dickens, B., Fox, C., Ginkel, K. van, & Hallegatte, S. (2023). A global assessment of national road network vulnerability. Environmental Research: Infrastructure and Sustainability, 3(2), 025008. https://doi.org/10.1088/2634-4505/acd1aa

Liu, K., Wang, Q., Wang, M., & Koks, E. E. (2023). Global transportation infrastructure exposure to the change of precipitation in a warmer world. Nature Communications, 14(1), 2541. https://doi.org/10.1038/s41467-023-38203-3

McDuffie, E. E., Martin, R. V., Spadaro, J. V., Burnett, R., Smith, S. J., O'Rourke, P., Hammer, M. S., van Donkelaar, A., Bindle, L., Shah, V., Jaeglé, L., Luo, G., Yu, F., Adeniran, J. A., Lin, J., & Brauer, M. (2021). Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales. Nature Communications, 12(1), 3594. https://doi.org/10.1038/s41467-021-23853-y

Parry, S. B., Antung A. Liu,Ian W. H. (2023). IMF Fossil Fuel Subsidies Data: 2023 Update. IMF. https://www.imf.org/en/publications/wp/issues/2023/08/22/imf-fossil-fuel-subsidies-data-2023-update-537281

Simkins, A. T., Beresford, A. E., Buchanan, G. M., Crowe, O., Elliott, W., Izquierdo, P., Patterson, D. J., & Butchart, S. H. M. (2023). A global assessment of the prevalence of current and potential future infrastructure in Key Biodiversity Areas. Biological Conservation, 281, 109953. https://doi.org/10.1016/j.biocon.2023.109953

Sims, M., Stanimirova, R., Neumann, M., Raichuk, A., & Purves, D. (2025). New Data Shows What's Driving Forest Loss Around the World. https://www.wri.org/insights/forest-loss-drivers-data-trends

Trademap. (2025). Trade Map. Trade Map. https://www.trademap.org/Index.aspx

UN DESA. (n.d.). Economic and Environmental Vulnerability Indicators. Retrieved January 26, 2026, from https://policy.desa.un.org/themes/least-developed-countries-category/ldc-identification-criteria-indicators/evi-indicators

UN DESA. (2025). 2024 Revision of World Population Prospects. https://population.un.org/wpp/

UN Energy Statistics. (2025). Energy Balance Visualization [Dataset]. https://unstats.un.org/unsd/energystats/dataPortal/

UNEP. (2021, May 12). Domestic material consumption (DMC) and DMC per capita, per GDP (Tier I). https://www.unep.org/indicator-1222

Weiss, D. J., Nelson, A., Gibson, H. S., Temperley, W., Peedell, S., Lieber, A., Hancher, M., Poyart, E., Belchior, S., Fullman, N., Mappin, B., Dalrymple, U., Rozier, J., Lucas, T. C. D., Howes, R. E., Tusting, L. S., Kang, S. Y., Cameron, E., Bisanzio, D., … Gething, P. W. (2018). A global map of travel time to cities to assess inequalities in accessibility in 2015. Nature, 553(7688), 333-336. https://doi.org/10.1038/nature25181

WHO. (2023). Global Status Report on Road Safety 2023. https://www.who.int/teams/social-determinants-of-health/safety-and-mobility/global-status-report-on-road-safety-2023

Wiedenhofer, D., Baumgart, A., Matej, S., Virág, D., Kalt, G., Lanau, M., Tingley, D. D., Liu, Z., Guo, J., Tanikawa, H., & Haberl, H. (2024). Mapping and modelling global mobility infrastructure stocks, material flows and their embodied greenhouse gas emissions [Dataset]. https://doi.org/10.1016/j.jclepro.2023.139742

World Bank. (2021). ICP 2021. https://databank.worldbank.org/source/icp-2021

World Bank. (2022a). Annual freshwater withdrawals, total (% of internal resources) [Dataset]. https://data.worldbank.org

World Bank. (2022b). Land area (sq. Km) [Dataset]. https://data.worldbank.org

World Bank. (2022c). The Global Health Cost of PM2.5 Air Pollution: A Case for Action Beyond 2021. The World Bank. https://doi.org/10.1596/978-1-4648-1816-5

World Bank. (2023). Forest area (% of land area) [Dataset]. https://data.worldbank.org/indicator/AG.LND.FRST.ZS

World Bank. (2024). Home | Logistics Performance Index (LPI). Logistics Performance Index. https://lpi.worldbank.org/

World Bank. (2025a). GDP per capita, PPP (current international $) [Dataset]. https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD

World Bank. (2025b). GDP, PPP (current international $) [Dataset]. https://data.worldbank.org/indicator/NY.GDP.MKTP.PP.CD

World Database on Protected Areas. (2024). Protected Areas (WDPA) [Dataset]. https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA