Place-based accessibility measures, such as the gravity-based model, are widely applied to study the spatial accessibility of workers to job opportunities in cities. However, gravity-based measures often suffer from three main limitations: (1) they are sensitive to the spatial configuration and...

A disaggregate spatial analysis, using enumeration district data for London was conducted with the aim of examining how congestion may affect traffic safety. It has been hypothesized that while congested traffic conditions may increase the number of vehicle crashes and interactions, their...

Purpose: The main goal of this study is to exact an optimal forecasting method by answering the research question: which is the best model for capturing short-term seasonal components of passenger traffic in Greek coastal shipping? Design/methodology/approach: There are not a lot of scientific...

Aufgrund der rapide gestiegenen Treibstoffpreise wird die Debatte zu möglichen Einsparpotenzialen bei Treibstoff wichtiger. So könnten die in der Coronapandemie entwickelten Homeofficepotenziale dazu genutzt werden, um Pendelaufkommen zu reduzieren und so den Treibstoffverbrauch zu verringern....

Ride-hailing services from companies such as Uber, DiDi and 99 have significantly changed travel behavior in cities across the globe. Despite the common presence of these services in Brazilian cities, there is still little information about who are the users of these services in the country,...

Natural disasters cause economic damages and may exacerbate disparities in income distribution among countries across the globe. This article employs satellite data on real-time active fire locations to evaluate the short-term impact of forest fires on economic inequality around the world. Using...

We are entering a period of dynamic and fundamental change in the transportation and logistics industry. The communication and collaborative aspects of the Internet are changing the way firms develop their logistics strategies, processes and systems. Internet and digital technologies help...

The COVID-19 pandemic has affected many aspects of our everyday lives. Governments have taken numerous measures to contain the spread of the pandemic, which has had a direct impact on daily mobility, modal choice and the function of public transport. This study uses quantitative and qualitative...

Aim/purpose - Multiple factors affect a passenger's origin and destination airport choice. This study explores some of the leading indicators associated with performance in cities with more than one airport. Two important Multi-Airport Systems (MAS) in Brazil were the object of this study: São...

We employ a derived demand model to estimate modal input demand elasticities for feedstock transportation logistics using a pooled cross section of corn shipments to large-scale ethanol plants from 95 grain elevators. As expected, results indicate that truck dominates feedstock traffic based on...