Introduction Research on Electric Vehicle Shared Services (EVSS) has significantly grown over the past decade, emerging as a transformative solution to urban mobility challenges while advancing sustainable transportation. Through innovation and scalable mobility solutions, EVSS has garnered attention for their potential to address pressing environmental issues, including climate change and urban air quality. Material and Methods This Systematic Literature Review (SLR) examines the evolution, challenges, and impacts of EVSS from 2014 to 2023. A total of 52 studies were analyzed using the PRISMA methodology, ensuring a comprehensive and rigorous evaluation of the literature. Key themes were identified to synthesize trends, challenges, and benefits associated with these services. Results Findings reveal a significant growth in EVSS research driven by technological advancements, supportive policy frameworks, and heightened global awareness of environmental issues. Studies highlight that EVSS can achieve a reduction in greenhouse gas emissions by 14–65% compared to traditional vehicles, alongside notable improvement in local air quality. These benefits are pivotal in global efforts to mitigate climate change and enhance urban environmental health. Moreover, EVSS provides affordable and flexible transportation options, particularly for underserved populations, contributing to social equity. Integration with public transportation systems further reduces traffic congestion and enhances urban mobility efficiency. Discussion Despite their promise, EVSS faces several challenges. Limited charging infrastructure necessitates significant investment in public charging networks. High upfront costs for purchasing and maintaining electric vehicle (EV) fleets remain a financial obstacle for operators. Furthermore, user perception issues, such as range anxiety, require targeted public education campaigns to enhance acceptance. Collaborative efforts among policymakers, community organizations, and private operators are crucial for addressing these barriers and maximizing the potential of shared EV services. Conclusion EVSS represents a transformative approach to achieving sustainable urban mobility. Their environmental, social, and mobility benefits underscore their role in addressing critical urban challenges. However, overcoming adoption barriers will require a robust and coordinated policy framework alongside investments in infrastructure and public engagement strategies. Continued research and stakeholder collaboration are essential for unlocking the full potential of EVSS in fostering sustainable and equitable urban transportation systems.

Introduction This research investigates train delay propagation, focusing on identifying influencing factors, optimizing parameters to minimize delays, and proposing cost-effective mitigation measures using the southern intercity railway route of Thailand as a case study. Methods The study employs cluster analysis and multiple linear regression to formulate delay propagation models, followed by multi-objective optimization to achieve optimal variable sets. In addition, by analyzing passenger patterns across different train types, the representative models are developed to inform policy adjustments and optimize service delivery. The research focuses on aligning commercial viability with passenger needs and preferences. Results Findings from this study will provide valuable insights for future planning and potential application to other rail routes. Key findings suggest that for double-track systems, effective policies include increasing train acceleration rates, adjusting the number of stops, and enhancing junction systems. For single-track systems, similar policies apply, with additional emphasis on converting to double tracks to minimize delays in train shunting. Conclusion Implementing these measures is expected to mitigate cumulative delays and enhance rail service efficiency.

Aims This research investigates the effect of adding natural Jordanian Zeolitic tuffs to the SUPERPAVE asphalt mixture at the dynamic creep and the indirect tensile performance. Background Rutting and fatigue are considered the most common types of distress that affect pavements all over the world. Many factors can affect these properties, such as different aggregate properties, asphalt grades, and properties, as well as the type and amount of the mineral filler. Mineral fillers play an important role in enhancing the asphalt mixtures' performance by filling the voids in the mixture besides improving the cohesion of the binder as it has a small weight in addition to a very large surface area. Generally, the powder of limestone is the most used type of filler. However, studies showed that many materials could also be used as mineral fillers successfully. The focus of this study is using natural Jordanian Zeolitic tuff as a mineral filler. Jordanian zeolitic tuff mainly consists of Phillipsite, chabazite, and faujasite, which are considered the most abundant Zeolitic tuff minerals. The pyroclastic material is widely distributed in the Badia region of northeast Jordan. Zeolitic tuffs are located in Jabal Aritayn (30km northeast of Azraq), Tlul AlShahba (20 km east of Al Safawi), Tal Al-Rimah (35 km northeast of Al Mafraq), and other small deposits in central and south Jordan. Objectives The aim of this research was to study the impact of Zeolitic tuffs on overall Superpave asphalt mixture performance. Methods The specimens were prepared using the optimum asphalt content obtained by the SUPERPAVE method. Dynamic Testing System DTS-16 was used to apply both dynamic creep and indirect tensile tests that give a good idea about the rutting and fatigue behavior of asphalt mixtures. Both tests were conducted at 25 °C. Results The Zeolitic tuffs modified asphalt mixtures have lower accumulated strains and higher creep stiffness compared to the control mixture. Subsequently, the indirect tensile test results showed that the modified asphalt mixtures have a higher resilient modulus than the control asphalt mix. Generally, using Zeolitic tuffs as a modifier of asphalt mixtures enhanced the rutting and fatigue resistance. The results showed that asphalt mixtures fortified with 25% Zeolitic tuffs emerged as the best contenders for rutting resistance. Also, mixtures enriched with 50% Zeolitic tuffs stood out in fatigue resistance performance. Conclusion The best dynamic creep performance was by adding 25% Zeolitic tuffs by the mineral filler mass, while the best resilient modulus was by adding 50% Zeolitic tuffs by the mineral filler mass. Other The overarching goals encompass understanding the dynamic creep behavior of Zeolitic tuff-infused asphalt blends, deciphering its indirect tensile performance, pinpointing the ideal replacement ratio for mineral fillers, and drawing a performance comparison between WMA and conventional Hot Mix Asphalt (HMA) compositions.

Background: The road transportation sector faces rising task complexity, driving the development of localized telematic traffic control systems. Integrating cutting-edge technologies is essential, surpassing administrative measures. A methodological approach is imperative for successful implementation. Objective: This study aimed to improve the efficiency of the implementation of intelligent information and communication technologies in the passenger transport system of urban agglomerations on the basis of objective assessment and rational choice of hardware complex in the field of vehicle traffic management. Methods: For the evaluation and effective implementation of intelligent hardware complexes in passenger transportation, diverse techniques, including mathematics and computer modelling, expert evaluations, theory of algorithms, computational experiment, mathematical statistics, observation, and measurement, were employed. Results: The approach of effective implementation of hardware complexes in passenger transportation management is proposed, and the order of calculation of passenger transport motion interval is developed. The calculations of economic and technical feasibility showed an increase of efficiency by 20-40% and a return on investment by 47%. Conclusion: The developed methodological approach for the effective implementation of intelligent hardware complexes in passenger transportation process control can serve as methodological support for the modernization of the automation and traffic control system of passenger transport. Further research will be aimed at automating the method by developing application software for the effective implementation of hardware technical control systems based on the described method. Additionally, this research can contribute to a broader study of complex systems, unraveling connections between parameters, information and technical aspects of hardware complexes and transportation and operational metrics in passenger transport processes.

Background: Unmanned aerial vehicles (UAVs) are envisioned in several intelligent transport system (ITS) application fields due to their autonomous operation, mobility, and communication/processing capabilities. Methods: In order to increase performance, dependability, and customer satisfaction, wireless communications are being used for essential and noncritical services in a variety of transportation systems. Terahertz (THz) communication aims to raise the wireless communication frequency band to the terahertz level and is one of the technologies that shows the most promise in addressing needs like the exponential increase in the number of devices, the necessity for higher data rates, and the need for larger channel capacity. For meeting the demands of 5G and 6G users, the hybrid combination of multiple input multiple output (MIMO) and orthogonal frequency division multiplexing (OFDM) appears to be an excellent technology. Therefore, it is essential to investigate the performance of THz communication with MIMO-OFDM in flying ad hoc networks (FANETs) for 6G. FANETs are multi-UAV systems arranged in an ad hoc way. Results: In this paper, the performance of the THz communication with MIMO-OFDM in FANETs for 6G is evaluated. The Markov chain model-based analytical study is used to derive how parameters and performance measures relate to one another. Conclusion: The equations for path loss, outage probability, bit error rate, and throughput are attained. Moreover, numerical results are shown to justify the outcomes of the analytical studies.

Objective: The present research concentrates on studying the road crossing time of pedestrians based on their pattern of the road crossing. The factors that influence the road occupancy time due to the irregular road crossing patterns of pedestrians have been studied. Methods: The research used a videographic survey of three midblock locations with different land-use types. The pedestrian variables from the video data are extracted to excel using a custom-made video player. The data set consists of 8718 pedestrian data, including all three sites, and the data is analysed using statistical methods. A binary logit analysis is performed to predict the variable influencing the crossing time High/Low. Results: According to the analysis, females making path changes and an increase in stage number show a higher road crossing time for pedestrians. Also, the absence of motor vehicles results in a higher road crossing time for pedestrians. The prediction accuracy of the model is 58.2%, and a variance of 6% shows a lesser degree of spread in the dataset. Conclusion: The inference from the study is that the crossing time of path-changing pedestrians is more than straight-moving pedestrians. Thus, an increase in road crossing time decreases the safety of pedestrians by increasing the exposure rate while crossing the road. So, the probability of safety risk is high when they practice irregular road crossing patterns.

Background and Objective: Parking service facilities (PSFs) are integral components of road networks and are typically designated to offer road users, stakeholders, and external entities various services and opportunities. However, the current literature manifests contradictions among studies regarding the contribution of PSFs to crashes in the mainline traffic stream. This study aims to assess the contribution of PSFs to traffic crashes on limited-access expressways using hotspot analysis of traffic crashes in GIS. Methods: Planar Getis-Ord Gi* and network KDE were used to detect crash hotspots along a study road based on five criteria: crash frequency of all vehicle types, frequency of all vehicles involved in crashes, frequency of heavy vehicles involved in crashes, injury severity index and iRAP star rating. Results: The study identified and ranked the safety hazard of PSFs along the study road via the interference and risk level of crash hotspots with influential segments of PSFs. Getis-Ord Gi* analysis showed that almost 65% of PSFs along the study road were potentially high-risk facilities, with their influential segments interfering with crash hotspots based on the five hotspot analysis criteria. On the other hand, network KDE identified that almost 100% of PSFs along the study road were potentially high-risk facilities of either serious, significant or moderate risk levels based on the same hotspot analysis criteria. Conclusion: The two spatial analyses indicated that crashes in proximity to PSFs may increase when the number of lanes of their influential road segments increases and traffic flow is interrupted by other road facilities. They also indicated that crash frequency and severity increase in the proximity to PSFs with high speed and high traffic volume. Furthermore, the two analyses indicated that heavy vehicle crashes are more likely to increase in proximity to PSFs in rural areas.

Introduction: The competitiveness of a port depends on hinterland characteristics, among other factors. In particular, hinterland accessibility and efficient inland logistics are key factors in ensuring the speed of goods flows. The port systems have to be configured as an efficient and logistically effective interface between oceanic maritime trade and inland trade. The paper has been elaborated starting from research carried out in the European ISTEN project (Integrated and Sustainable Transport in the Efficient Network), aiming to improve the intermodal connections among the ports of the Adriatic-Ionian area and the ports and their hinterlands. Objective: The objective of the work is to propose an original approach for identifying the port hinterland based on the evaluation of transport times and costs in the whole supply chain (from the origin in the foreland zone to a final destination in the hinterland). Methods: The analyses have been carried out by considering separately the transport time and monetary cost components and generalized transport cost. The methodology involves wide research of data and careful analysis of the port hinterland connectivity. An analytical application is proposed in order to identify and compare the potential hinterlands of two Italian ports, Gioia Tauro and Genoa. Results: The results of the proposed analyses show that the geographical distribution of the port hinterlands changes significantly in relation to the reference drivers in terms of monetary cost and time along the intermodal international paths; this has led to further analyses considering the transport generalized cost which has integrated into travel time and monetary cost. Conclusion: The aim of the proposed approach is to overcome the limits of the methodologies of the sector based on geographical characteristics that focus attention only on market aspects considering marginally the transport component. The methodology is transferable to other contexts and other types of freight interchange nodes by adapting the cost functions.

Background: Tenau Container Port Terminal’s operation in Kupang City has low-quality services. Few studies have tried to consider the QFD and IPA methods along with other methods. Therefore, this study will try to complement previous studies using the Customer Services Index (CSI) to evaluate and improve the terminal service quality. Objective: The aim of this study is to analyze container operational services’ performance at the Port of Tenau-Kupang and find solutions to improve the container terminal services quality. The objective is to complement previous studies with regard to evaluating and improving the terminal service quality. Methods: This study uses the Customer Services Index (CSI), Importance Performance Analysis (IPA), and Quality Function Deployment (QFD) to evaluate and improve the container terminal services quality. Results: Several strategies such as equipment routine maintenance, truck and workers’ readiness, optimal utilization of tugboats, preparation of additional container yards, worker certification, and additional training for operators are recommended to enhance operational services’ ports. Conclusion: The results of this study have several similarities with the results of previous studies, especially those related to technical problems. On the other hand, there are differences in results with other studies due to differences in environmental conditions and characteristics of human resources.

Objective: This study aimed to investigate the influence of organisational driving forces on transportation practices during the COVID-19 crisis and the effect on the sustainability supply chain performance of Thailand’s logistics service providers. Methods: The study used the explanatory-sequential mixed-method research design technique. The sample included 250 logistics service providers in Thailand. Purposive sampling was used to select the sample. A focus group discussion was conducted with three logistics experts and seven logistics service provider’s top executives, totalling ten key informants. The data gathered was analysed using structural equation modelling to perform a confirmatory factor analysis and path analysis. Results: The results found that organisational driving forces and transportation practices during the COVID-19 crisis have typically affected sustainability supply chain performance. In addition, the mediation effects of transportation practices during the COVID-19 crisis have unveiled partial mediation in the presence of a direct effect. The qualitative study was found to be consistent with the quantitative method findings from the logistics industry-specific contexts. Conclusion: Overall, the results provide support for the contention of the contingency theory. Thailand logistics service providers can use the results to plan the supply chain management works, outline the strategy of the organisation, and develop the business to be more competitive.