Data-driven insights to reduce uncertainty from disruptive events in passenger railways

Public Transport, Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

Язык: Английский

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Principal Component Random Forest for Passenger Demand Forecasting in Cooperative, Connected, and Automated Mobility

Sustainability, Год журнала: 2025, Номер 17(6), С. 2632 - 2632

Опубликована: Март 17, 2025

Cooperative, Connected, and Automated Mobility (CCAM) is set to play a key role in the future of transportation, contributing achievement sustainable development goals. Moreover, Artificial Intelligence (AI), transformative technology with applications across various industries, can significantly enhance CCAM operations. Additionally, passenger demand forecasting, critical aspect mobility research, will become even more essential as adoption continues grow next years. Therefore, present research study, order deal issue forecasting CCAM, proposes Principal Component Random Forest (PCRF) methodology, which based on AI, it leverages well-established statistical methodology such Components Analysis flagship traditional machine learning technique, Forest. The application PCRF four European pilot sites within Union-funded SHOW project demonstrated its high accuracy effectiveness reflected by average normalized error approximately 15%.

Язык: Английский

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Exploring University Students’ Perceptions of Public Transport in Madrid

Опубликована: Май 5, 2025

Public transportation is vital for urban life quality, particularly in high-density areas like Madrid, where university students are key users. This study examines student perceptions of Madrid’s public transport, focusing on price, service comfort, security, accessibility, and environmental impact. Data from a sample 250 across Madrid universities was gathered September October 2024. IBM SPSS 27 facilitated the analysis, including frequency distributions descriptive statistics to explore usage trends. Results show that affordability, value, price flexibility significantly affect satisfaction. Service quality elements such as punctuality cleanliness critical maintaining satisfaction loyalty. Comfort factors, seating temperature, along with safety impact students' reliance transport. Accessibility by proximity network integration encourages use, while fosters preference transit over cars. Findings support targeted improvements eco-friendly initiatives sustained use.

Язык: Английский

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Development of an Agile and Sustainable Framework for Resilient and Inclusive Public Transport Organizations

Sustainability, Год журнала: 2025, Номер 17(10), С. 4652 - 4652

Опубликована: Май 19, 2025

This study developed an integrated framework to enhance agility, resilience, sustainability, and inclusiveness in Emirati public transport organizations. Using a mixed-methods approach, the research combined semi-structured interviews with 19 experts structured questionnaire administered 38 specialists. The DEMATEL method was applied analyze visualize interdependencies among key factors influencing system performance. Results indicate that operational efficiency, demand–supply forecasting, ridership estimation are central agility; green migration strategies, governance, service design drive resilience; diversity, technology, infrastructure adequacy underpin sustainability; level types seamless transfers critical inclusiveness. These dimensions were synthesized into cohesive model captures both strategic alignment adaptability. contributes validated, multi-dimensional decision-making tool for policymakers authorities, offering practical guidance aligning strategies national goals UN Sustainable Development Goals. While tailored UAE context, is adaptable other urban environments undergoing rapid transformation. study’s empirical rigor established through validated expert-based analysis, ensuring theoretical robustness real-world applicability.

Язык: Английский

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Comparative analysis of perceived quality of bus services in different socioeconomic and cultural urban contexts: Tangier (Morocco) and Oviedo (Spain)

Case Studies on Transport Policy, Год журнала: 2024, Номер 19, С. 101321 - 101321

Опубликована: Ноя. 5, 2024

Язык: Английский

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