How to predict the effect of planned smart mobility measure before implementation?5 answersTo predict the effect of planned smart mobility measures before implementation, a methodological approach integrating prediction, optimization, and personalization is crucial. Understanding individual behavior towards new technology is essential, with perceived usefulness, ease of use, and risk significantly affecting attitudes towards adopting smart mobility systems. Analyzing the effectiveness of Smart Mobility solutions is vital, with proposed indicators for evaluation and future research planned. Formulating a research framework for predicting antecedents of smart mobility through SEM-Neural hybrid approach aids in understanding technology acceptance, refining policies, and updating strategies. Monitoring and evaluating Sustainable Urban Mobility Plans regularly is key to assessing the impact of measures, progress in objectives, and rational use of infrastructure investments.
What is smart mobility in transport research?5 answersSmart mobility in transport research refers to the utilization of advanced technologies like the Internet of Things (IoT), big data analytics, and artificial intelligence to enhance transportation efficiency, accessibility for all, and sustainability while preserving quality of life. It involves providing intelligent mobility services, reducing transportation costs, improving safety, and addressing issues like pollution and traffic congestion. Smart mobility integrates various modes of transportation based on user preferences, manages reservations, connections, and billing through mobility platforms, and may involve sharing sensitive personal data, raising privacy concerns. Research in this field has highlighted the importance of multi-disciplinary approaches, technological advancements like big data and AI, and the need for further exploration of integration with existing transport systems and real-time technologies.
What is smart planning?5 answersSmart planning refers to a strategic approach that integrates data analysis and processing to optimize city services, urban dynamics, and sustainable development. It involves the use of innovative tools to support the concept of smart grids, evaluating the value of flexibility in generation and load for optimal distribution network expansion planning. Additionally, smart planning encompasses the utilization of technology, such as smart construction planners, to manage construction projects efficiently and provide real-time progress updates without the need for physical site visits. By considering the needs of inhabitants and incorporating modern technologies, smart planning aims to enhance various aspects of urban environments, including infrastructure, mobility, energy, and research, ultimately contributing to the sustainable development of complex territorial systems.
How to measure role of technology in smart cities?4 answersTo measure the role of technology in smart cities, a comprehensive approach is essential. The Holistic KPI (H-KPI) Framework provides a structured method for assessing the direct and indirect benefits of smart city technologies, considering unique characteristics of districts, population, and economic scale. Smart city development relies on information and communication technology (ICT) advancements, which contribute to urban sustainability and growth, aligning with a vision of smart urban development. Understanding citizens' perceptions of impactful technologies is crucial for measuring the intelligent performance of a city, as seen in a study conducted in the province of Santa Elena, Ecuador. By identifying key variables and indicators, a model can be formulated to measure smart technology implementation in cities, aiding in efficient problem-solving and urban development.
What are interesting blockchain-based frameworks for smart mobility?4 answersBlockchain-based frameworks for smart mobility have garnered significant attention in recent research. One interesting framework proposed by Biswas et al. utilizes blockchain technology to create secure communication channels between different components of an Internet of Vehicles (IoV) system, ensuring secure and trustworthy communication. Another framework proposed by Bhawana et al. focuses on blockchain-enabled energy trading for electric vehicle (EV) charging, aiming to maximize revenue and intelligently allocate renewable energy to consumers. Goh's study introduces a novel computational security framework using a branched and decentralized blockchain network to prevent side-channel attacks in mobility-based IoT devices. Additionally, Al Mallah et al. propose a risk assessment framework for blockchain applications in smart mobility, quantifying the risk associated with a multi-layered blockchain framework for smart mobility data-markets. These frameworks offer promising solutions to address security and trust challenges in smart mobility systems.
How to measure transport accessibility with artificial intelligence?5 answersTransport accessibility can be measured using a variety of methods, including the use of artificial intelligence (AI). AI can be employed to analyze and assess the accessibility of urban transport systems by considering factors such as location, time, mode of transport, and travel impedance. By utilizing AI algorithms, it is possible to predict the behavioral patterns of individuals and their influence on mode selection, thus estimating the ridership of a public transport system. Additionally, AI can be used to develop decision-supporting tools that assist in transport and land-use planning activities, by evaluating the impact of changes in accessibility indices on ridership. Overall, AI provides a computational and efficient approach to measure and analyze transport accessibility, enabling a more comprehensive understanding of the factors influencing the accessibility of transport networks.