Premium Networked Mobility, Fleet-as-a-Service, and the Digital Infrastructure of Sustainable Urban Transport
Abstract
This article synthesizes theoretical perspectives and empirical insights on the emergence of premium networked mobility, Fleet-as-a-Service (FaaS), and the digital infrastructuresâparticularly serverless and function-as-a-service
paradigmsâthat enable contemporary transformations in urban transport systems. The paper integrates geographic, psychological, technological, environmental, and systems-design literatures to construct a coherent framework for understanding how novel vehicle concepts, shared mobility business models, telematics systems, and cloud-native compute paradigms interact to produce new mobility ecologies. The study first situates premium mobility networks within the geography of demand and urban form, showing how spatial concentration of services and premium positioning shape access and equity dynamics (Groth, Klinger & Otsuka, 2023). It then examines psychological and socio-technical barriers to shared mobility uptake, including privacy concerns, perceived autonomy loss, and normative resistance, grounding these issues in observed acceptance patterns for carsharing and ridepooling (Burghard & Scherrer, 2022; Hunecke, Richter & Heppner, 2021). The technological core of the article explores telematics and fleet management requirements for modern road freight and shared vehicle fleets (Heinbach, Kammler & Thomas, 2022), alongside serverless and stateful functions approaches that promise scalable, on-demand analytics and control (Hellerstein et al., 2019; Sreekanti et al., 2020). Environmental and sustainability considerations are woven throughout, relating vehicle electrification and life-cycle impacts to policy frameworks for sustainable development (Helmers & Marx, 2012; Brundtland, 1987; Goodland, 1995). Drawing on interdisciplinary evidence, the article proposes a design-oriented conceptual model that links premium mobility strategies, FaaS operationalization (Deshpande, 2024), telematics architecture, and cloud-native computation. It discusses trade-offs, potential unintended consequences, policy levers, and research directions, and concludes with prescriptive guidelines for practitioners and policymakers seeking to foster equitable, resilient, and sustainable networked mobility.
Keywords
References
Most read articles by the same author(s)
- Jean Paul Kazungu, Jean Pierre Ntayagabiri, Jeremie Ndikumagenge, M. Kokou Assogba, QUANTITATIVE EVALUATION OF ARTIFICIAL INTELLIGENCE IN HOSPITAL MANAGEMENT: SYSTEMATIC REVIEW OF REAL-WORLD IMPLEMENTATIONS AND OUTCOMES (2019â2024) , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Arjun Mehta, Advanced Analysis of Plastic Waste Bioconversion Through Polyethylene-Degrading Bacillus sp. VC2 Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Dr. Miguel A. RodrĂguez, A Principal Component Analysis Framework for Characterizing Core-Periphery Structures through Neighborhood-Based Bridge Node Centrality , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 09 (2025): Volume 02 Issue 09
- Dr. Marc Casal, Bio-Inspired Predictive Layered Architecture targeting Online Data Flow Anomaly Discovery , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 05 (2026): Volume 03 Issue 05
- Dinesh Perera, Nethmi Fernando, AI-Enabled Test Case Generation and Optimization for Modern Software Development , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Andre Castillo, Role of Smart Digital Technologies in Enhancing Regulatory Alignment and Formal Documentation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Dr. Jonathan R. Whitmore, Architecting Resilient Continuous Integration and Delivery Ecosystems for Large-Scale Java Enterprises: An Integrated Perspective on Information Needs, Modular Evolution, and Pipeline Governance , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Prof. Kavita Menon, An In-Depth Review of Recent Advances in Cables and Towed Objects for Ocean Engineering Towing Systems , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- Dr. Aditya Wijaya, Dr. Putri Lestari, Next-Generation Semantic AI Infrastructure for Sustainable Business Intelligence , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Jean Claude Ndayizeye, Analyzing Unseen Customer Attributes with Innovative Cohort Identification Techniques , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
Similar Articles
- Samuel T. Ridgeway, Factory-Grade GPU Diagnostic Automation in Digital Pathology and Computational Inference Systems: A Cross-Domain Theoretical and Applied Investigation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Adrian Keller, Queuing-Integrated Deep Reinforcement Learning For Adaptive Task Scheduling In Cloud Data Centers , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Andras Varga, A Socio-Technical Framework for Error BudgetâDriven Reliability Governance in Cloud-Native and Edge-Integrated Distributed Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Amelia R. Foster, AI-Driven Cloud-Native Intelligence for Cost-Efficient, Secure, and Domain-Specific Decision Systems: An Integrative Research Study Across Hybrid Cloud Optimization, Healthcare Analytics, Edge-IoT, and E-Learning , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Arjun Sharma, Priya Verma, Graph Neural Network-Based Framework for Intelligent Cyber Threat Detection in Cloud Computing , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Ethan Williams, Dr. Olivia Carter, Dr. Liam Anderson, Autonomous Fault Management in Cloud Environments Through Deep Learning-Based Decision Making , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Matteo Ricci, Redefining Ethical Asset Management Through Intelligent Technologies and Cognitive Expertise , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Valeria GonzĂĄlez, AI-Augmented Neural Architecture for Remote Ledger Bookkeeping with Fraud Detection and Exposure Forecasting , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Diego FernĂĄndez Morales, Computational Methods for Equipment Health Assessment in Electrical Supply Networks , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Sanjay K. Morello, Securing Multi-Tenant FPGA Clouds: Architectures, Threats, and Integrated Defenses for Trusted Reconfigurable Computing , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 08 (2025): Volume 02 Issue 08
You may also start an advanced similarity search for this article.