Global passenger transport consists of all travel by private and public road vehicles, rail travel, air non-motorized travel. The vehicular component expanded an estimated 14-fold between 1950 2018, so that now it is not only a major energy user CO2 emitter, but also the cause variety other negative effects, especially in urban areas. future will be increasingly subject to two contradictory for...

OBJECTIVES This study examines how engagement in transport-related physical activity (TPA), perceptions of the commute route, actual travel distance, and perceptions of travel distance vary by degree of urbanization in rural and remote areas of Central Queensland, Australia. METHOD A random, cross-sectional sample of 1230 adults aged 18 years and over residing in rural and remote Central Quee...

Ordinal measures are frequently encountered in travel behavior research. This paper presents a new method for combining them when a hierarchical structure of the data can be presumed. This method is applied to study the subjective assessment of the amount of travel by different transportation modes among a group of French clerical workers, along with the desire to increase or decrease the use o...

The interest in multimodal transportation improvements in urban areas is increasing in cities across the U.S. Improved access to multimodal transportation attracts new users, but can possibly increase their exposure to risk from crashes, particularly in areas where the ‘‘safety in numbers” phenomenon does not exist. The relationship between access to multimodal transportation and safety in urba...

The COVID-19 pandemic has led to thinking about the response sudden-onset disasters, for which transportation resilience of urban areas is crucial. purpose paper provide a graded assessment help city managers target policies and plans. Wuhan, first in China be severely hit by COVID-19, was selected as case study this research. Based on an extensive survey travel characteristics residents centra...

In this paper land use densities by type of employment and infrastructure supply are used together with social and demographic characteristics to explain non-motorized travel, transit use, and solo driving in California. The land use database, the highway network database, and the travel survey used for the analysis here covers the entire state of Califonia. Land use and infrastructure have a s...

In this study, we aimed to evaluate the performance of various machine learning (ML) classifiers predict mode choice movement-challenged persons (MCPs) based on data collected through a questionnaire survey 384 respondents in Dhaka, Bangladesh. The set consisted CNG-driven auto-rickshaw, bus, walking, motorized rickshaw, and non-motorized which was found as most prominent used by MCPs. Age, sex...

Does a stop a commuter makes on the way to or from work adversely affect peak-period traffic? This question is addressed by examining the effects of stops made as part of commute journeys upon daily, as well as peak-period, travel time and distance, using a six-week travel diary data set from Germany. Increments in travel time and distance due to stops made in commute journeys are evaluated and...

Activity-based models of travel demand have received considerable attention in transportation planning and forecasting over the last few decades. FEATHERS (The Forecasting Evolutionary Activity-Travel of Households and their Environmental Repercussions), developed by the Transportation Research Institute of Hasselt University, Belgium, is a micro-simulation framework developed to facilitate the...