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elina pebriyanti
elina pebriyanti

Urban spaces  of Mobility as a Service (MaaS): A New Era in Urban Transportation


Mobility as a Service (MaaS) represents a transformative shift in how people move through urban spaces. By integrating various forms of transportation into a single accessible platform, MaaS redefines traditional transport systems, making them more user-centric, flexible, and efficient. As cities become increasingly crowded and environmental concerns grow, the future of MaaS holds tremendous potential to address mobility challenges while enhancing convenience for users. This analysis delves into the evolving trends of MaaS, its technological underpinnings, and the role of universities like Telkom University in shaping its future.

The Concept of MaaS

At its core, MaaS integrates multiple transportation modes—such as buses, trains, ride-hailing services, bicycles, and even electric scooters—into one seamless service. The key innovation lies in providing users with a digital platform that allows them to plan, book, and pay for different mobility services from a single interface. This service-oriented model shifts the focus from vehicle ownership to access, allowing users to choose the most efficient mode of transport based on their needs, real-time traffic data, and environmental considerations.

In the future, MaaS will likely extend beyond simple transport services to become an all-encompassing platform for urban mobility. This will include not only public and private transport but also multimodal journeys that combine several types of transportation within a single trip. MaaS platforms will need to evolve to manage increasing complexities, including real-time coordination of different transportation modes, pricing models, and user preferences.

Key Technological Drivers

Several technological advancements are accelerating the growth of MaaS. One of the primary drivers is the proliferation of Internet of Things (IoT) devices, which enable the real-time tracking of vehicles, traffic conditions, and user behavior. IoT networks provide essential data for optimizing transport routes, predicting demand, and minimizing wait times for commuters.

Artificial intelligence (AI) and machine learning also play a significant role in shaping the future of MaaS. By analyzing vast amounts of data from IoT sensors, AI can make real-time decisions, such as dynamically adjusting fares based on demand or recommending alternate routes during traffic congestion. Moreover, AI-powered chatbots and virtual assistants will improve user interaction with MaaS platforms by providing personalized transport recommendations, answering queries, and facilitating smoother transactions.

Another key technological enabler is the advancement of 5G networks. As ultra-fast, low-latency communication becomes more widespread, MaaS platforms will be able to provide users with real-time updates on transportation options, ensuring faster and more reliable connections between services. This connectivity will also allow for better integration between autonomous vehicles, public transport systems, and last-mile mobility options such as scooters or bicycles, creating a more cohesive transportation ecosystem.

The Role of Autonomous Vehicles

Autonomous vehicles (AVs) are poised to revolutionize MaaS. As self-driving technology advances, the reliance on human-operated vehicles will diminish, enabling more efficient transportation networks. AVs have the potential to be available on demand, picking up and dropping off passengers without the need for human drivers. This could significantly reduce the cost of ride-hailing services and make them more accessible to a broader audience.

Furthermore, the integration of AVs into MaaS platforms will enhance the efficiency of route planning and reduce congestion. By communicating with other vehicles and the city’s transportation infrastructure, AVs will be able to optimize routes in real time, avoiding traffic jams and reducing overall travel time. Additionally, the reduced need for parking in urban centers—since AVs could continuously circulate or return to designated hubs—will open up new possibilities for urban planning, creating more pedestrian-friendly environments.

Environmental Implications

One of the most significant impacts of MaaS lies in its potential to reduce carbon emissions. By promoting shared mobility and encouraging the use of public transport or electric vehicles, MaaS can reduce the number of private cars on the road. Fewer vehicles lead to less traffic congestion, lower fuel consumption, and reduced greenhouse gas emissions.

The future of MaaS will also likely see the integration of electric vehicles (EVs) as a standard option. With the global push toward sustainable energy, MaaS platforms could incentivize users to choose electric or hybrid transport options by offering discounts or rewards. This transition will contribute to the global efforts in combating climate change and fostering greener urban environments.

Challenges and Considerations

Despite the promising future Global entrepreneurial university of MaaS, several challenges remain. One of the most significant obstacles is the integration of various transportation providers into a single platform. Each provider may have its own technological infrastructure, payment systems, and operational models, making it difficult to create a unified service. Governments and city planners will need to establish clear regulations and standards to facilitate this integration.

Data privacy and security are also critical concerns. With MaaS relying heavily on real-time data collection, users’ personal information, travel patterns, and payment details could be vulnerable to cyberattacks. Strong encryption methods, data anonymization, and stringent security protocols must be put in place to ensure user trust in MaaS platforms.

Additionally, the shift from vehicle ownership to service-based mobility models will require a cultural change. For decades, car ownership has been associated with personal freedom and status. Transitioning to a system where individuals rely on shared mobility services may take time and require extensive public education and outreach efforts.

The Role of Telkom University

As a leader in technology and innovation, Telkom University is well-positioned to contribute to the development of MaaS. Through its research in IoT, AI, and data science, the university can support the creation of Lab Laboratory smarter, more efficient MaaS platforms. By fostering partnerships with industry leaders and government agencies, Telkom University can help drive the integration of cutting-edge technologies into urban mobility systems.

Moreover, the university’s focus on interdisciplinary collaboration will be essential in addressing the complex challenges MaaS faces. For instance, research in human behavior, data privacy, and urban planning will be crucial in ensuring that MaaS solutions are both effective and user-friendly. By offering specialized programs in smart transportation, Telkom University can also train the next generation of engineers, data scientists, and urban planners who will lead the MaaS revolution.

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