The impacts of disasters are increasing due to climate change and unplanned urbanization.
Big and open data offer considerable potential for analyzing and predicting human mobility …

Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …

This study aims to examine the degree to which the results of social equity analysis on
public transit reliability are sensitive to the choice of spatial unit of analysis (ie, modifiable …

Interest in smart cities (SCs) and big data analytics (BDA) has increased in recent years,
revealing the bond between the two fields. An SC is characterized as a complex system of …

Machine learning (ML) and deep learning (DL) have become very popular in the research
community for addressing complex issues in intelligent transportation. This has resulted in …

Bridging the gap between demand and supply in transit service is crucial for public
transportation management, as planning actions can be implemented to generate supply in …

Dockless electric scooters (e-scooter) have emerged as a green alternative to automobiles
and a solution to the first-and last-mile problems. Demand anticipation, or being able to …

Based on more than 11 billion geolocated cell phone records from 33 million different
devices, daily mobility networks were constructed over a 15-month period for Greater Mexico …

Transit‐oriented development (TOD) is a planning strategy that combines land use and
transportation planning to promote economic, environmental, and social sustainability. While …

Background Accessibility analysis is a essential method for depict spatial inequalities.
Healthcare services should be accessible to everyone in a timely manner and available in …