The current study aims to investigate the impact of the COVID-19 pandemic on road traffic
collisions, fatalities, and injuries using time series analyses. To that aim, a database …

As pedestrians are among the most critical road users, this research analyzes their
vulnerability characteristics and predicts the injury severity of pedestrian crashes through …

The current work presented a comparative analysis of traffic demand and safety skills before
and after control measures during the COVID-19 epidemic, acquired time-series change …

Over the last three decades, transportation has become one of the main energy-consuming
sectors around the world and, as a result, large amounts of emissions are produced …

We propose a multivariate Grey-Markov model to quantify traffic accident risk from different
causality factors in roundabouts that is uniquely suited for the scarce and stochastic traffic …

Purpose This study was conducted to forecast the monthly number of tuna landings between
2023 and 2030 and determine whether the estimated number meets the government's …

Recently, major problems related to fuel consumption and greenhouse gas (GHG)
emissions have arisen in the transportation sector. Therefore, developing transportation …

In low-and middle-income countries, approximately 70% of inter-city trips are by buses but
are characterised by rampant crashes. So far, there is scarce research on the spatial …

The primary objective of this paper is to expand Jamshidian's bond option formula and
compatible one-factor term structure models by incorporating the existence of uncertainty in …

The proportion of government funding allocated to state transportation budgets has declined
as a result of budgetary constraints. This has necessitated a disciplined and efficient …