Asia’s cities wake up to packed roads and crowded stations alike. Cars and motorbikes remain the dominant mode of travel, but governments are also investing heavily in rail and metro systems to relieve pressure on urban networks. The demand is clear: populations are growing, journeys are getting longer, and transport systems of every kind are under strain. The challenge is how to expand capacity quickly while keeping public transport efficient, secure, and attractive enough to win more passengers.
Infrastructure figures underline the scale of the task. The region’s road network is set to expand by about 8 million kilometres between 2020 and 2030, reaching nearly 29 million kilometres in total. Rail is also growing, though more gradually. The conventional railway network in Asia expanded from 350,000 km in 2000 to 490,000 km in 2020, with China and India driving much of the increase.
Growth in the coming decade is expected to continue but at a slower pace. In contrast, high-speed rail has seen rapid progress. China accounts for most of the expansion, with over 27,000 km added between 2010 and 2020. By 2030, Asia will have close to 70,000 km of HSR — about one-quarter of all new railway length added.
Urban transit is growing even faster. Metro and light rail systems are expanding at a scale similar to the previous two decades combined. East Asia and upper-middle-income economies are leading these developments. Countries such as Vietnam and Indonesia are also entering a new phase of metro construction, while Japan continues to modernize established systems.
Such growth highlights the dual challenge: how to increase transport capacity to meet demand, while maintaining efficiency and security. Public transit must remain competitive against the rise of private vehicle ownership and expanding road infrastructure. To respond, many operators are turning to new technologies, such as facial recognition, to improve efficiency, strengthen safety, and keep rail and metro travel reliable.
Case Studies: Asia’s Early Adopters
Japan: Leading with Smart Ticketing
Japan is setting benchmarks in railway biometrics. East Japan Railway (JR East) is trialling facial recognition ticket gates on the Joetsu Shinkansen line, running until 2026. Passengers register facial images linked to commuter passes, enabling seamless entry without physical tickets. Osaka Metro has gone further, deploying facial recognition walk-through ticket gates at 130 of its 134 stations.
The results are promising: faster walking speeds, reduced congestion, and robust security. Within the next decade, this model will likely spread across Japan’s high-speed and conventional rail systems.
Indonesia: Facial Biometric Gates for Green Mobility
Indonesia has also started embedding biometrics into everyday rail operations. National rail operator Kereta Api Indonesia (KAI) has introduced facial recognition boarding gates at 22 major stations across the country. Passengers register their facial data through KAI’s official app, and once linked to their travel tickets, they can pass through gates with a simple face scan.
This shift is part of KAI’s broader “green transport” strategy. By cutting down paper use and speeding up queues, the technology supports efforts to cut waste, ease congestion, and make long-distance rail more efficient, attractive, and sustainable. Officials describe facial recognition as a step toward unifying ticketing, passenger services, and eco-friendly practices in a single digital platform.
In a country where congestion and rising car ownership put pressure on both the environment and the economy, these measures show how technology is being tied directly to Indonesia’s sustainability goals.
India: Enhancing Security with AI-Powered Facial Recognition
In India, the focus of biometric adoption has been on passenger safety at railway stations. The government has announced the rollout of AI-driven facial recognition surveillance systems across 7 of the country’s busiest stations. Unlike Japan and Indonesia, the technology is being introduced not for ticketing but to support law enforcement and passenger safety — identifying individuals linked to serious offenses in real time.
The move reflects India’s dual challenge: managing some of the world’s highest passenger volumes while maintaining safety in sprawling transport hubs. Facial recognition is networked into AI-powered surveillance systems, enabling real-time alerts to security personnel. Officials argue that this technology will strengthen monitoring capabilities without increasing the burden on human staff, though it also raises questions about how to balance stronger security with protecting personal data in the use of biometrics.
Why Facial Recognition Matters for Asia’s Transport Future
Handling Massive Passenger Volumes
Asia’s mega-cities are among the busiest in the world. Beijing, Tokyo, and Shanghai metro systems each serve 6–10 million passengers per day. Manual ticketing is no longer scalable. Facial recognition enables high-throughput processing, ensuring stations can handle peak-hour flows smoothly.
Reducing Fare Evasion and Revenue Loss
Fare evasion costs transit authorities hundreds of millions annually. Linking entry to facial biometrics ensures that only valid ticket holders can access platforms, reducing financial losses.
Enhancing Public Safety
Railways are critical infrastructure, often targeted for crime or terrorism. Facial recognition supports real-time threat detection, alerting security teams to blacklisted individuals or unusual behaviour patterns.
Accelerating Smart City Integration
From Singapore to Shenzhen, Asian cities are investing heavily in mobility-as-a-service (MaaS) ecosystems. Facial recognition aligns with these visions, offering unified access across metro, buses, and even airports, creating seamless journeys for passengers.
Ecological Considerations and Climate Commitments
Transport is central to Asia’s development strategy, but current investment trajectories are insufficient to meet the Sustainable Development Goals (SDGs) or Paris Agreement targets. Infrastructure is expanding, yet transport demand is growing faster than supply, and the modal share of railways and buses is not keeping pace. As a result, CO₂ emissions from transport are projected to increase, despite improvements in energy efficiency and reductions in air pollution and road fatalities.
The implication is that without a more ambitious shift towards efficient public transport modes, such as metro and high-speed rail, Asia will fall short of climate commitments.
Facial recognition technology does not directly reduce emissions. But by making metro and rail more convenient, secure, and attractive, it can encourage passengers to choose trains over cars.. This modal shift towards rail helps narrow the gap between projected emissions and climate targets.
Adopting biometric systems is therefore part of a broader set of measures — alongside investments in new infrastructure, renewable energy integration, and pricing policies — that can make sustainable transport the default choice in the region.
Outlook: Smarter, Safer, More Sustainable
By 2030, Asia’s railway and metro systems will carry far more passengers than today, even as road infrastructure expands at twice the pace of rail. Efficiency, safety, and climate impact will be critical issues. Facial recognition offers operators a practical tool to manage these pressures, especially in high-density environments.
While the technology alone cannot deliver sustainability targets, it can contribute to making rail travel more competitive with road transport. When combined with policies that promote modal shift and investments in green infrastructure, it can support Asia’s broader ecological and mobility goals.
Asia’s transport transformation is not just about building new kilometres of track. It is about building smarter, safer, and more sustainable systems. And biometric technologies are to play a central role in shaping how hundreds of millions of people travel every day.
