Assessment of an International Virtual Exchange Project with Civil Engineering Students from the US and Palestine: Global Competencies, Perceived Value, and Teamwork

This paper presents the results of a study conducted to assess the value of two iterations of an international virtual exchange (IVE) experience between universities in the US (Clemson University and Bucknell University) and Palestine (An-Najah National University) in 2021 and 2022. The focus of this study was a five-week collaborative project where civil engineering students enrolled in pavement design or environmental engineering courses at three universities were tasked to develop innovative solutions to a pavement related problem in one of five general areas. Based on the course enrollments at each institution (i.e., 50 US and 19 Palestinian students in 2021 and 35 US and 51 Palestinian students in 2022), there were two treatment groups: IVE and non-IVE. In 2021 there were nine bi-national IVE teams and eight non-IVE teams composed only of students from Clemson University (US). In 2022, there were nine bi-national IVE teams, five US non-IVE teams from Clemson, and seven Palestinian non-IVE teams from An-Najah. The evaluation in this study focused on (1) global competencies, (2) value of the experience, and (3) team dynamics. The influence of the experience on the global competencies of the students in IVE and non-IVE teams was assessed quantitatively and qualitatively using pre- and post-program surveys based on the Stevens Initiative and RTI International’s Common Survey Items as well as survey items developed for this IVE to measure whether the program promotes gender equity. The value of the project experience for all students (i.e., IVE and non-IVE) was evaluated using a mixed methods assessment based on the “value-creation framework” of Wenger-Trayner et al. Four cycles of the value-creation framework were included in this assessment: (1) immediate value, (2) potential value, (3) applied value, and (4) realized value. Finally, teamwork was evaluated using the Individual and Team Performance (ITP) Metrics Peer Feedback and Team Dynamics survey. Results showed that modifications made between the first and second project iterations, specifically cross-cultural dialogue modules, had positive impacts on the overall outcomes. The IVE teams exhibited greater improvement in team dynamics measures over the project duration compared to the non-IVE teams. The students on IVE teams also showed greater gains in all aspects of the global competencies assessment than their non-IVE peers. Finally, all students expressed that they found value in the experience. However, there were no differences in perceived value between the IVE and non-IVE teams. The differences came from students from different countries as the Palestinian students perceived greater value in the experience than their US peers regardless of whether they were on an IVE team or not

Ridership Demand Analysis for Palestinian Intercity Public Transport

This article presents results of research to study the intercity bus ridership demand, assess existing services, and form a basis to predict future ridership in the Palestinian territories. This study is the first of its type in the area. Intercity public transport between six governorates in the northern and central dis tricts of the West Bank was examined. The relationship between public transportation demand and both operating and socioeconomic variables that influence demand was established. An on-board survey of intercity bus riders identified some of the variables that can potentially influence ridership demand. A simple linear regression equation of the ridership demand was developed using five independent variables: population of origin city, population of destination city, bus fare, percent of employees at origin city, and percent of higher education students at origin city. Ridership profiles and trip characteristics were also established. The study results can be used to evaluate existing public transportation and forecast future intercity public transport demand. Decision-makers can use the results to improve intercity public transport services and attract more riders. Future research should be based on this simple model, include the impact of other modes on intercity demand, include all governorates of the West Bank and Gaza Strip, and establish a comprehensive nationwide model

Ridership Demand Analysis for Palestinian Intercity Public Transport

This article presents results of research to study the intercity bus ridership demand, assess existing services, and form a basis to predict future ridership in the Palestinian territories. This study is the first of its type in the area. Intercity public transport between six governorates in the northern and central dis tricts of the West Bank was examined. The relationship between public transportation demand and both operating and socioeconomic variables that influence demand was established. An on-board survey of intercity bus riders identified some of the variables that can potentially influence ridership demand. A simple linear regression equation of the ridership demand was developed using five independent variables: population of origin city, population of destination city, bus fare, percent of employees at origin city, and percent of higher education students at origin city. Ridership profiles and trip characteristics were also established. The study results can be used to evaluate existing public transportation and forecast future intercity public transport demand. Decision-makers can use the results to improve intercity public transport services and attract more riders. Future research should be based on this simple model, include the impact of other modes on intercity demand, include all governorates of the West Bank and Gaza Strip, and establish a comprehensive nationwide model

Future Energy and Environmental Implications of Electric Vehicles in Palestine

During the last two decades, problems related to high-energy consumption and greenhouse gas (GHG) emissions by the transportation sector have arisen. Therefore, several alternatives have been investigated, in order to reduce the dependence on the conventional fuels that are used by land transportation modes. One of these promising alternatives is the electric vehicles (EVs), which seem to be the future replacement for conventional vehicles. Thus, this study aims to quantify the energy and the environmental implications of EVs in Palestine in 2030, considering that the current percentage of EVs is almost 0%. In this study, the needed parameters related to the number of vehicles and energy costs by source in Palestine were collected. Then, several prediction models have been developed in order to determine the energy and environmental implications of EVs in 2030, considering that 10% of conventional vehicles could be replaced by EV during the next 10 years (2020–2030). The results have showed that this could save USD 464.31 million in operating energy costs during 2030 (one year of saving). More specifically, this number is almost equal to 3.18% of the gross domestic product (GDP) of Palestine in 2018. Furthermore, significant amounts of GHG emissions could be reduced. The reduction (during 2030) in NH4, N2O, and CO2 emissions could be around 10.51%, 10%, and 6.86%, respectively

Practical Minimum Sample Size for Road Crash Time-Series Prediction Models

Road crashes are problems facing the transportation sector. Crash data in many countries are available only for the past 10 to 20 years, which makes it difficult to determine whether the data are sufficient to establish reasonable and accurate prediction rates. In this study, the effect of sample size (number of years used to develop a prediction model) on the crash prediction accuracy using Autoregressive integrated moving average (ARIMA) method was investigated using crash data for years 1971–2015. Based on the availability of annual crash records, road crash data for four selected countries (Denmark, Turkey, Germany, and Israel) were used to develop the crash prediction models based on different sample sizes (45, 35, 25, and 15 years). Then, crash data for 2016 and 2017 were used to verify the accuracy of the developed models. Furthermore, crash data for Palestine were used to test the validity of the results. The used data included fatality, injury, and property damage crashes. The results showed similar trends in the models’ prediction accuracy for all four countries when predicting road crashes for year 2016. Decreasing the sample sizes led to less prediction accuracy up to a sample size of 25; then, the accuracy increased for the 15-year sample size. Whereas there was no specific trend in the prediction accuracy for year 2017, a higher range of prediction error was also obtained. It is concluded that the prediction accuracy would vary based on the varying socioeconomic, traffic safety programs and development conditions of the country over the study years. For countries with steady and stable conditions, modeling using larger sample sizes would yield higher accuracy models with higher prediction capabilities. As for countries with less steady and stable conditions, modeling using smaller sample sizes (15 years, for example) would lead to high accuracy models with good prediction capabilities. Therefore, it is recommended that the socioeconomic and traffic safety program status of the country is considered before selecting the practical minimum sample size that would give an acceptable prediction accuracy, therefore saving efforts and time spent in collecting data (more is not always better). Moreover, based on the data analysis results, long-term ARIMA prediction models should be used with caution