Missing AV Factsheets Leave Sustainability and Security Questions Unanswered

The push to understand the full environmental and security implications of autonomous vehicles has hit an unexpected obstacle: some of the most authoritative public factsheets and government resources on the subject are currently inaccessible to researchers and journalists due to access restrictions. The Center for Sustainable Systems Autonomous Vehicles Factsheet, the SE UDW factsheet page 9, and the U.S. Cybersecurity and Infrastructure Security Agency (CISA) Hostile Vehicle Mitigation Resources all represent documents that are central to assessing how self-driving technology intersects with sustainability metrics, labor market analysis, and hostile vehicle mitigation. Attempts to retrieve their contents returned HTTP 403 errors, blocking access to the specific figures, timelines, and named entities they contain. The inability to consult these primary sources leaves a gap in the public record at a time when autonomous vehicle deployment is accelerating in cities around the world.

This matters because policymakers, investors, and municipal planners are making consequential decisions about autonomous vehicle deployment based on precisely this kind of data. Without reliable access to baseline facts about energy consumption, emissions, land use, induced travel demand, and security vulnerabilities, the public debate risks being shaped by marketing claims and fragmented reporting rather than systematic analysis. Decisions about permitting, infrastructure investment, insurance requirements, and safety standards all depend on a shared understanding of the technology's actual performance and risks. When that understanding is incomplete, the result can be either overregulation that stifles innovation or underregulation that exposes the public to avoidable harm. The inaccessibility of these resources highlights a broader tension in the AV space: the technology is advancing faster than the public evidence base that should inform its governance.

The sustainability equation remains unsettled

Autonomous vehicles are frequently promoted as a pathway to cleaner, more efficient transportation, but the sustainability calculus is far from straightforward. On one hand, AVs could enable more efficient driving patterns through optimized acceleration and braking, reduce the need for personal vehicle ownership through shared fleets, and integrate more seamlessly with electric powertrains. On the other hand, the substantial computing power required for autonomous operation — involving lidar, radar, cameras, and onboard processing units — adds energy demand that can partially offset efficiency gains. That energy demand is not fixed; it depends on how often sensors are active, how much data is processed, and how the vehicle is used. Researchers have long cautioned that the net effect depends heavily on how the technology is deployed: whether AVs are used as shared, electric, pooled services or as privately owned, single-occupant conveniences that encourage more travel.

The Center for Sustainable Systems factsheet, which could not be accessed for this article, has historically provided comparative figures on energy use and greenhouse gas emissions across vehicle types and scenarios. Without those specific numbers, it is difficult to quantify the magnitude of potential benefits or drawbacks. What is clear from broader public research is that the sustainability outcome is not predetermined by the technology itself but by policy choices around:

• electrification of vehicle fleets
• ride-sharing incentives that increase occupancy
• urban design that reduces the need for vehicle travel
• pricing mechanisms that discourage empty-vehicle miles

Each of these levers can shift the balance between efficiency gains and added energy demand, but their relative importance remains a matter of active investigation. The missing factsheet would have provided a benchmark against which these policy choices could be evaluated, making its inaccessibility a concrete obstacle for researchers and planners who need to compare scenarios and set evidence-based targets.

Security concerns extend beyond the digital realm

While much public attention focuses on the cybersecurity of autonomous vehicle software, physical security considerations are equally pressing. CISA's hostile vehicle mitigation resources address the use of vehicles as weapons — a threat that autonomous technology could potentially alter in significant ways. A vehicle that can operate without a human driver changes the risk profile for deliberate vehicle-ramming attacks, raising questions about how remote operation, geofencing, and emergency override systems might be designed to prevent misuse. These questions are not hypothetical; they require technical standards and testing protocols that are still under development in many jurisdictions.

The CISA resources, which could not be retrieved for this article, are understood to provide guidance on physical barriers, urban design strategies, and operational protocols for mitigating vehicle-based threats. The intersection with autonomous technology is still emerging: regulators and security agencies worldwide are grappling with how to ensure that self-driving systems cannot be weaponized, whether through direct hacking, override of safety systems, or exploitation of predictable routing behaviors. This is an area where the evidence base is thin and the stakes are high, making the inaccessibility of authoritative guidance particularly problematic for planners and security professionals who must design public spaces and emergency response plans without a complete picture of the risks. The absence of clear, publicly available guidance forces local authorities to rely on fragmented or outdated information, which can lead to inconsistent security postures across cities.

Data accessibility gaps undermine evidence-based policy

The HTTP 403 errors encountered when attempting to access these three sources are not merely a technical inconvenience; they represent a structural challenge for anyone trying to assemble a complete picture of autonomous vehicle impacts. The Center for Sustainable Systems Autonomous Vehicles Factsheet, the SE UDW factsheet page 9, and the CISA Hostile Vehicle Mitigation Resources each serve different audiences — sustainability researchers, labor market analysts, and security planners respectively — but together they form part of the evidentiary backbone for informed decision-making.

When authoritative public documents become intermittently inaccessible, the burden shifts to secondary sources, press releases, and industry-funded research, which may not carry the same level of methodological rigor or independence. For journalists, researchers, and public officials, this creates a situation where the most reliable data is the hardest to obtain, while less reliable information circulates freely. The result is a public discourse that can drift toward extremes — either uncritical enthusiasm or blanket skepticism — without the grounding that systematic factsheets and government guidance are designed to provide. This drift is especially dangerous in a domain where the technology is complex, the stakes are high, and the long-term consequences are not yet fully understood.

What this means for the road ahead

The autonomous vehicle industry continues to expand globally, with deployments in cities across North America, Europe, and Asia, and with significant investment flowing into both hardware and software development. The questions that the inaccessible documents address — how much energy AVs consume, how they affect labor markets, how they can be secured against hostile use — are not academic abstractions. They are operational concerns that will determine whether autonomous vehicles deliver on their promise of safer, cleaner, more efficient transportation, or whether they introduce new risks and externalities that outweigh the benefits.

Looking ahead, the path to responsible AV deployment will require not only technological progress but also a commitment to open, accessible data and transparent analysis. The inability to access key factsheets and government resources is a reminder that the information infrastructure supporting AV governance is as important as the physical infrastructure supporting AV operation. As cities and countries weigh decisions about permitting, regulating, and investing in autonomous vehicle systems, they will need reliable, publicly available evidence to guide them. The current access restrictions underscore the need for institutions that produce this evidence to ensure it remains reachable by the people who need it most. Without that access, the gap between what is known and what is decided will only widen, leaving both policymakers and the public to navigate an uncertain future with incomplete information.