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New Scorecard by NRDC Ranks States by Transportation Policies

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14 Mar, 2025

This post was originally published on Eco Watch

The second edition of the “Getting Transportation Right” scorecard from the Natural Resources Defense Council (NRDC) has ranked all 50 states (and Washington, DC) in the U.S. based on their transportation policies. States with policies that emphasize greener, more equitable transportation ranked higher in the list, while those with policies that favor highway expansions or that lack sustainable transportation policies ranked lower.

States were ranked on 21 metrics total, with opportunities to accumulate points based on factors such as equitable public transportation access; targets to reduce transportation emissions by 2035; EV charging infrastructure; rebates or grants for low-income residents to purchase EVs; spending toward bicycle and pedestrian infrastructure over highway expansions; maintenance spending; and bid preferences or targets to hire minority- and women-owned small businesses for state-funded transportation projects.

“Progress will fundamentally depend on whether states choose to spend their transportation dollars on new road and highway expansion projects that will increase carbon emissions and air pollution while leaving drivers trapped in interminable traffic — or on clean and equitable solutions for all,” Samantha Henningson, senior transportation advocate at NRDC and project manager of the scorecard, said in a statement. “This report shows which states are leading the way.”   

According to the latest edition of the scorecard, the top 10 states with policies that emphasize sustainable transportation include Vermont in the No. 1 spot followed by California, Oregon, Washington, Maryland, Colorado, Massachusetts, Washington, DC, Rhode Island and New York.

NRDC

Several states have much more room for improvement, as they have instead focused on more polluting policies such as highway expansions over cleaner transportation options. Texas ranked last on the list, preceded by Kansas, Arkansas, South Carolina, Wisconsin, Mississippi, Nebraska, Idaho, Louisiana and Kentucky.

“Even without the current actions of the Trump administration, too many states are using the Bipartisan Infrastructure Law to fund projects that will not reduce emissions or improve access to affordable clean modes of transportation,” Henningson said.

As the report authors pointed out, these rankings were based on 2024 data during the former administration that had a higher priority for funding clean and equitable transportation projects. With the Trump administration prioritizing fossil fuels, reversing climate policies and freezing funding to states that was provided by the Inflation Reduction Act, states will need to continue to fight and lead the way for more sustainable transportation.

The authors also noted that their findings could help positively influence policies and programs amid negotiations for the next transportation infrastructure bill.

“States have always led on transportation policy, but their role is more important now with the Trump administration moving federal transportation policies back to the bad old days of gridlock and pollution,” Henningson said. “Given the harmful direction from Washington, it’s more important now than ever before that state transportation policies deliver for their residents.” 

The post New Scorecard by NRDC Ranks States by Transportation Policies appeared first on EcoWatch.

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Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

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As enterprises accelerate their AI investments, the energy demand of AI’s power-hungry systems is worrying both the organisations footing the power bills as well as those tasked with supplying reliable electricity. From large language models to digital twins crunching massive datasets to run accurate simulations on complex city systems, AI workloads require a tremendous amount of processing power.

Of course, at the heart of this demand are data centres, which are evolving at breakneck speed to support AI’s growing potential. The International Energy Agency’s AI and Energy Special Report recently predicted that data centre electricity consumption will double by 2030, identifying AI as the most significant driver of this increase.1

The IT leaders examining these staggering predictions are rightly zeroing in on improving the efficiency of these powerful systems. However, the lack of expertise in navigating these intricate systems, combined with the rapidity of innovative developments, is causing heads to spin. Although savvy organisations are baking efficiency considerations into IT projects at the outset, and are looking across the entire AI life cycle for opportunities to minimise impact, many don’t know where to start or are leaving efficiency gains on the table. Most are underutilising the multiple IT efficiency levers that could be pulled to reduce the environmental footprint of their IT, such as using energy-efficient software languages and optimising data use to ensure maximum data efficiency of AI workloads. Among the infrastructure innovations, one of the most exciting advancements we are seeing in data centres is direct liquid cooling (DLC). Because the systems that are running AI workloads are producing more heat, traditional air cooling simply is not enough to keep up with the demands of the superchips in the latest systems.

DLC technology pumps liquid coolants through tubes in direct contact with the processors to dissipate heat and has been proven to keep high-powered AI systems running safely. Switching to DLC has had measurable and transformative impact across multiple environments, showing reductions in cooling power consumption by nearly 90% compared to air cooling in supercomputing systems2.

Thankfully, the benefits of DLC are now also extending beyond supercomputers to reach a broader range of higher-performance servers that support both supercomputing and AI workloads. Shifting DLC from a niche offering to a more mainstream option available across more compute systems is enabling more organisations to tap into the efficiency gains made possible by DLC, which in some cases has been shown to deliver up to 65% in annual power savings3. Combining this kind of cooling innovation with new and improved power-use monitoring tools, able report highly accurate and timely insights, is becoming critical for IT teams wanting to optimise their energy use. All this is a welcome evolution for organisations grappling with rising energy costs and that are carefully considering total cost of ownership (TCO) of their IT systems, and is an area of innovation to watch in the coming years.

In Australia, this kind of technical innovation is especially timely. In March 2024, the Australian Senate established the Select Committee on Adopting Artificial Intelligence to examine the opportunities and impacts of AI technologies4. Among its findings and expert submissions was a clear concern about the energy intensity of AI infrastructure. The committee concluded that the Australian Government legislate for increased regulatory clarity, greater energy efficiency standards, and increased investment in renewable energy solutions. For AI sustainability to succeed, it must be driven by policy to set actionable standards, which then fuel innovative solutions.

Infrastructure solutions like DLC will play a critical role in making this possible — not just in reducing emissions and addressing the energy consumption challenge, but also in supporting the long-term viability of AI development across sectors. We’re already seeing this approach succeed in the real world. For example, the Pawsey Supercomputing Centre in Western Australia has adopted DLC technology to support its demanding research workloads and, in doing so, has significantly reduced energy consumption while maintaining the high performance required for AI and scientific computing. It’s a powerful example of how AI data centres can scale sustainably — and telegraphs an actionable blueprint for others to follow.

Furthermore, industry leaders are shifting how they handle the heat generated by these large computing systems in order to drive further efficiency in AI. Successfully using heat from data centres for other uses will be a vital component to mitigating both overall energy security risks and the efficiency challenges that AI introduces. Data centres are being redesigned to capture by-product heat and use it as a valuable resource, rather than dispose of it as waste heat. Several industries are already benefiting from capturing data centre heat, such as in agriculture for greenhouses, or heating buildings in healthcare and residential facilities. This has been successfully implemented in the UK with the Isambard-AI supercomputer and in Finland with the LUMI supercomputer — setting the bar for AI sustainability best practice globally.

The message is clear: as AI becomes a bigger part of digital transformation projects, so too must the consideration for resource-efficient solutions grow. AI sustainability considerations must be factored into each stage of the AI life cycle, with solutions like DLC playing a part in in a multifaceted IT sustainability blueprint.

By working together with governments to set effective and actionable environmental frameworks and benchmarks, we can encourage the growth and evolution of the AI industry, spurring dynamic innovation in solutions and data centre design for the benefit of all.

1. AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works – News – IEA
2. https://www.hpe.com/us/en/newsroom/blog-post/2024/08/liquid-cooling-a-cool-approach-for-ai.html
3. HPE introduces next-generation ProLiant servers engineered for advanced security, AI automation and greater performance
4. https://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Adopting_Artificial_Intelligence_AI

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