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What is JoVE Visualize?

  1. Home
  2. Research Domains
  • Built Environment And Design
  • Urban And Regional Planning
  • Transport Planning
  • Transport planning

    AI-categorized content indicator

    Transport planning is a vital field within urban and regional planning that focuses on designing efficient, sustainable transportation systems to meet societal needs. It covers the analysis and management of movement patterns, infrastructure design, and policy development to improve accessibility, safety, and environmental outcomes. As part of the built environment and design category, transport planning research addresses critical challenges in mobility and urban development. JoVE Visualize enriches research exploration by pairing PubMed articles with JoVE’s experiment videos, providing researchers and students with clearer insights into methodology and practical applications.

    Key Methods & Emerging Trends

    Established Methods in Transport Planning

    Core transport planning methods typically involve traffic flow modeling, geographic information system (GIS) analysis, statistical data evaluation, and travel demand forecasting. Researchers often apply multi-criteria decision analysis and scenario planning to optimize transportation networks and assess the impacts of urban growth. The transport planning process integrates qualitative and quantitative approaches, including surveys, public consultations, and simulation models, to formulate effective transportation plans. These methodologies provide a foundation for understanding transportation patterns and infrastructure needs, facilitating informed decision-making.

    Emerging and Innovative Approaches

    Innovations in transport planning research increasingly incorporate big data analytics, machine learning, and real-time sensor data to enhance predictive accuracy and responsiveness. Smart transportation systems and autonomous vehicle simulations are gaining prominence as future-oriented strategies. Additionally, sustainable urban transportation planning emphasizes low-carbon mobility and equity considerations, supported by advanced modeling tools and participatory planning platforms. These emerging trends broaden the scope of traditional transport planning, enabling more adaptive and inclusive solutions for complex urban environments.

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    Jelmer Jager, Wim van Houtert, Wim P Krijnen, Richard Bimmel, Nico L U van Meeteren, Thomas J Hoogeboom, Reinier P Akkermans, Geert van der Sluis

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    An agentic AI system for automated pharmacogenomic recommendation generation

    Mike Zack, Anton Savinkov, Danil Stupichev, Alex Moore, David Sokolov, Igor Trifonov, Anastasia Yankovskiy, Kirill Reshetnikov, Nurkyz Ydyrysova, Allan Gobbs

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