Examining urban travel patterns in the United States, this study analyzes variations across socioeconomic groups. Utilizing data from the 2022 National Household Travel Survey (NHTS), it investigates differences in travel behavior based on income, vehicle ownership, demographic characteristics, and regional factors. Additionally, it examines the significant effects of the COVID-19 pandemic on commuting patterns. Findings indicate a substantial decline in public transit ridership and a corresponding rise in automobile dependency, with remote work trends reshaping travel demand. Lower-income households remain highly reliant on public transit and non-motorized modes, whereas higher-income groups demonstrate greater travel flexibility and higher rates of vehicle ownership. Moreover, regional disparities in transit accessibility highlight ongoing challenges in achieving equitable mobility. This study offers critical insights for policymakers, transportation planners, and researchers striving to develop sustainable urban transportation systems.

The current research conducts a consistent cross-state assessment of the condition of highway bridges using NBI statistics of Florida (FL), Texas (TX), Pennsylvania (PA), California (CA), and New York (NY) over the fiscal years 2018-2025. The condition rating of all bridges from each state is categorized into Good, Fair, or Poor based on the FHWA ratings' criteria outlined in 23 CFR § 490.409. It is revealed that Texas retains the lowest proportion of poor-conditioned bridges (1.2% in FY2025) among the five states analyzed while the highest proportions of poor-and fair-conditioned bridges are observed in Pennsylvania and New York, respectively. Florida and California are in an intermediate state where each state shows a progressive decrease in the proportion of good condition. The research findings are provided through six data tables and seven graphs, including spider charts depicting multi-dimensional condition profile, Sankey chart of FY2025 bridge count flows, stacked bar graphs of trends, and donut charts of condition snapshot, along with data limitations discussion.

The transportation sector is one of the largest consumers of global energy and a major contributor to greenhouse gas (GHG) emissions. This study examines long-term transportation fuel consumption trends in Annex I, countries which are the industrialized nations and economies in transition with legally binding GHG mitigation obligations under the United Nations Framework Convention on Climate Change (UNFCCC). The study utilizes the data reported to the UNFCCC from 1990 to 2020 by these countries. A multi-method analytical framework was applied, combining time series analysis, Pearson correlation, k-means clustering, Kruskal-Wallis statistical grouping, and ANOVA to both aggregate and per capita fuel consumption values. The analysis shows the dominance of road transportation and liquid fuels in transportation fuel consumption, having 10 times higher values than other sectors and fuel types, respectively. The time series data for these variables, as well as total transportation fuel consumption, were found to be non-stationary, highlighting the potentially significant influence of external events and socioeconomic factors on transportation demand and consumption behavior. The existing efforts of decarbonization and promoting renewable energy seem to result in a reduction in solid fuels and a boost in biomass. However, these efforts are still outweighed by growth in consumption of liquid fuel and in road transportation. The study identifies priority areas for transportation decarbonization and highlights limitations in the current UNFCCC data reporting framework.