Behavioral Changes and Demand Forecasting in Digitized Urban Mobility and Logistics

Dear Colleagues,

The rapid digitization of transportation is redefining urban mobility and logistics, driven by intelligent systems, data-driven technologies, and digital platforms for passenger transport and freight distribution. The integration of artificial intelligence (AI) and big data enables more efficient planning and management while improving the anticipation of changes in demand and in the behavior of key players, including users, operators, logistics companies, and public authorities. Ensuring equitable access to efficient mobility and logistics is essential to ensure that the benefits of the digital transition reach all social groups and territories, avoiding new divides.

This Special Issue of Future Transportation will focus on studies that analyze how digitization affects urban mobility and logistics, the development of advanced AI- and data-based demand forecasting models, and strategies that promote inclusion and equity in future urban transportation and distribution systems. We invite contributions that address the challenges of smart, sustainable, and accessible mobility and logistics in cities and support the design of public policies and technological solutions for the planning and operation of passenger and freight distribution systems.

Topics of interest include, but are not limited to, the following:

• Impact of digitalization and smart platforms on urban and rural travel behavior and on freight logistics (including last-mile delivery).
• Demand forecasting models based on artificial intelligence, machine learning, and big data for passenger and freight transport.
• Strategies and technologies to ensure equity and accessibility in digitalized urban and rural mobility and logistics.
• Case studies on the implementation of digital twins, smart cities, and connected transport and logistics systems.
• Assessment of public policies and their effectiveness in reducing gaps in mobility and logistic access in urban and rural areas.
• Integration of data from multiple sources (sensors, transport operators, logistics companies, digital platforms, social media) for the planning and management of mobility and freight distribution.

Prof. Dr. Elvira Maeso-Gonzalez
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Transportation is an international peer-reviewed open access quarterly journal published by MDPI.

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• mobility digitalization
• artificial intelligence in transport
• urban and rural mobility
• urban and rural logistics
• freight transport
• transport and logistics equity
• smart cities
• digital twins
• demand forecasting
• big data in transport and logistics
• accessibility
• machine learning