Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

The achievement of sustainable transportation and the desire to reduce car ownership are
important aspects of urban planning, especially in developing countries. This paper presents …

This research aims to be guided decision-makers in future planning by estimating the
tendency of data consistently. In this context, it is thought that the integration of the …

The growth of vehicle ownership not only brings opportunity for the economy, but also brings
environment and transport problems, which is not good for sustainable transportation. It is of …

Since load time series are very changeable, demand forecasting of the short-term load is
challenging based on hourly, daily, weekly, and monthly load forecast demand. As a result …

With the rapid increase of energy demand, it is becoming increasingly important to obtain
accurate energy demand forecasts. To incorporate long time causal relationships …

Since car ownership is an important determinant to analyze car travel behavior especially in
developing countries, this paper deals with modeling and forecasting car ownership in …

This paper transforms fuzzy number into clear number using the centroid method, thus we
can research the traditional linear regression model which is transformed from the fuzzy …

Purpose Obviously, the development of a robust optimization framework is the main step in
energy and climate policy. In other words, the challenge of energy policy assessment …

Promoting electric vehicles is an important way to achieve a low-carbon transport sector for
the carbon peak and neutrality target. A better understanding of future scenarios of EV …