The research objective of this work is to analyze what is behind the self-driving offer implemented in Phoenix (Arizona), by Waymo, a service called Waymo One, and model it in $e^3 value$. Through a comprehensive literature review and the application of $e^3 value$ modeling, this study focuses on the fundamental principles and technological advancements of self-driving vehicles and shared mobility services. Waymo’s operations and ecosystem are systematically modeled, providing a detailed representation of the service. Results demonstrate the potential improvements in road safety, traffic reduction, and emissions mitigation achieved through shared autonomous mobility. The $e^3 value$ model offers a holistic perspective on the interactions and value exchanges among stakeholders, including passengers, vehicle operators, infrastructure providers, and regulatory bodies, elucidating their roles within the shared autonomous mobility ecosystem. The idea is to support the development of other shared autonomous vehicles trials around the world. Main goal is to improve the shared autonomous mobility offer, which means better safety on the road, reduced traffic, and lower emissions in the metropolitan areas of cities. Therefore, modeling Waymo One can be a basis for the extension of shared autonomous vehicles businesses to other companies in different geographies.

The mobility of people, services and movement of goods is always considered as an essential economic-spatial factor. In addition, free movement is associated with the aim of achieving the desired goals and satisfying socio-economic, cultural and political needs in different places. This point creates different travel patterns and complications, which are usually influenced by physical, demographic, cultural and socio-economic factors that most studies have found. This research aims to identify the factors affecting the user's travel behaviour by acquiring more complete knowledge, systematic literature review (SLR), visual bibliometric analysis based on the characteristics and factors of travel behaviour and 120 selected publications in recent decades. Combining the data allowed us to select 62 publications and link them to the characteristics of travel behaviour and its factors. The results show that the complexity of travel behaviour requires a better assessment of resources and problems and predicting the impact of future trends. On the other hand, the population, the growing levels and mixing of multiculturalism and the influence of behavioural communication are increasing, and their influence should not be neglected, so the path of changing travel behaviour should be considered. This means that everyone's travel standards and assumptions need to be re-examined.

Energy efficiency and conservation stand as pillars of sustainable economic growth, facilitating job creation and climate change mitigation. Renewable energy, a sustainable and recyclable energy form, is increasingly being integrated into several systems. However, the transportation sector, a crucial component of national infrastructure, remains heavily reliant on petroleum, particularly in Nigeria. The dependence on petroleum, a fossil fuel derivative, has resulted in escalating costs and environmental pollution due to CO₂ emissions. This study aims to assess the potential for integrating renewable energy into Nigeria's transportation sector, focusing on the environmental and economic implications. A comprehensive literature review was conducted, with sources predominantly drawn from Scopus-indexed journals. The review covers various modes of transport, including inland and ocean water transport, land-based transport, and electric vehicles. Our findings reveal a pressing need for renewable energy integration to counteract the environmental and economic challenges posed by petroleum dependency. This study also highlights the barriers to renewable energy adoption and proposes viable solutions. By transitioning to renewable energy sources, Nigeria's transportation sector could become more sustainable, cost-effective, and environmentally friendly.

The deployment of Shared Autonomous Vehicles (SAVs) in urban areas is no longer a futuristic vision. Pilot projects are undeniable realities in various locations, and automakers research agendas are clear about this increasing autonomous trend. An ecosystem that supports the deployment of autonomous mobility is imperative, before this new type of mobility becomes a reality. Trying to understand what is absolutely essential in a city, to allow the operation of SAVs and to attract potential investors, is the aim of this research. This work started with a Systematic Literature Review (SLR), where the main concepts supporting SAVs were identified, and continued using a Topic Modeling approach, specifically Latent Dirichlet Allocation, to reach the most important topics and clusters, that were then modeled in ArchiMate into a possible ecosystem for the deployment of SAVs in urban areas. Finally, the reached model is confronted with a real case in order to establish a gap analysis between the theoretical reference model and what is already happening in Beijing. The result is an improvement of the reference model.

Indonesia, abundant in solar energy, poses significant potential for harnessing this renewable resource for electricity generation. This study investigates the feasibility of employing photovoltaic (PV) modules, powered by solar energy, for electric vehicle (EV) charging stations in Surakarta, Yogyakarta, Semarang, Surabaya, and Malang. Utilizing the Hybrid Optimization Model for Electric Renewable (HOMER) software, simulations were conducted to assess on-grid Solar Power Plants (PLTS) systems that leverage both PV modules and grid power. This research enhances existing studies on solar energy potential in Indonesia, emphasizing profitable renewable energy business models. Economic evaluations were conducted based on the Net Present Cost (NPC) and the Cost of Energy (COE), integral metrics for determining investment feasibility. Preliminary capital for PLTS development was estimated at Rp 5,399,387,501.00. Results indicate Semarang City as the most promising location for a PLTS system with an NPC value of Rp 23,243,190,000.00 and a COE value of Rp 1,108.11. The designed PLTS system in Semarang City is projected to generate 982.090 kWh/year of electricity, with estimated consumption at 922.467 kWh/year. This study offers novel insights into the potential of solar-powered EV charging stations in Indonesia.

Development and assessment of professional competence in parcel and courier to enhance the competence of logistics personnel. The research employed qualitative methodology which participants in both groups were purposively selected. The professional association requires companies that are members under the professional association. Qualitative and quantitative assessment and assessment of professional competence Research tools used to assess knowledge using multiple-choice tests and assess skills using operational demonstrations. Statistics used were percentage, mean, standard deviation and t-test independent. Assessment results showed a high level of propriety. The IOC indices were greater than the set criteria for all items. Assessment results on parcel and courier professional competency for logistics personnel reported none of the assessee passing the international express parcel and courier management assessment and 2 assessee passing the domestic express parcel and courier management assessment. Because of the employees who take the assessment are not prepares for the assessment, and the practice of employees working in their current responsibilities only does not cover career competencies at the level assessed.

This study examines the role of public participation in public transportation policies in Semarang, Indonesia, a city facing congestion and the adoption of the bus rapid transit (Trans Semarang) system. The study identifies a gap in Indonesian transportation regulations that lack public participation in decision-making processes, limiting public engagement. Mayors play a crucial role in shaping transportation development, especially in the absence of inclusive participation from outside entities. To foster interactive community engagement, the City Government of Semarang must enact regulations that include the general public, transportation entities, and other relevant groups. Strategies include robust budgetary allotments and enforcement of local regulations to provide transport subsidies. Encouraging a more inclusive paradigm and transparent regulations can lead to the effective and sustainable execution of public transport, addressing the community's demands and aspirations. The findings pertaining to the mayor's role, as identified in this study, should be interpreted within the specific context of Semarang and may not be universally applicable across all regions in Indonesia. The extent to which the mayor assumes such a role is contingent upon their individual perspective on public transportation as a populist cause warranting dedicated efforts.

This paper's significance lies in investigating the multivariate spatial parameters of the service sites for gas stations according to predetermined standards and their spatial location to identify the best place for such services. The present study focuses on fueling stations in Al-Mahaweel City, located in the Babylon Province of Iraq. This case study aims to analyze the problem of inefficiency and inadequacy in serving the fuel stations inside the city. These issues have significant economic and environmental repercussions, ultimately affecting urban sustainability. For this purpose, a spatial database by Geographic Information System (GIS) is used to analyze basic services such as hospitals, schools, and others. As well as agriculture, ‎industry, and residential uses. All that is about to derive the relevant criteria ‎for the organization of the district center, which facilitates analysis and evaluation of their ‎current location. The study results indicated the need for stations within an efficient spatial. So, the specific locations for new filling stations would depend on various factors (Q=4,000 ‎square meters and W=5,000 square meters). Accordingly, this ‎article aims to meet demand based on the essential ‎urban ‎planning indicators to enhance the ease ‎of traffic, avoid road congestion, and promote ‎urban ‎sustainability.

Sea transportation plays an essential and strategic role in the mobility of passengers, goods, and services domestically, from, and abroad. A sea port, one of the sub-systems of sea transportation, is a point or node where the movement of goods and passengers using sea modes will start, end, or make significant transfers or transits in achieving an effective and efficient sea transportation system. Port efficiency and effectiveness can be seen from the productivity and ability level to finance operational activities. Port governance is critical in port management; selecting a model or form of port management also affects port efficiency and productivity. An evaluation of the performance of port services is needed to maintain a port in prime condition. Port performance assesses several indicators, such as economic, operational, and financial aspects. This study aims to map parameters used in determining port performance. The scope of the article examined contains an evaluation of port performance from an operational, financing, and sustainable perspective. The study's two research questions are listed below. The trend port indicator parameter is first. What parameters consider when evaluating public ports? This study's limitation is 200 articles that research the commercial port. In future research, it is necessary to conduct research that examines the factors or parameters of performance measurement at ports organized by the government. The study results show that the trend of port performance parameters toward sustainable port management and guide port growth for public officials and private parties to preserve port effectiveness.

Transport facilitates growth and interactions within and outside cities. Different countries follow different transport models. Increasing population, rising mobility rate and increasing trip length are responsible for increasing travel demand in India. Intention to participate in activities, demands travel, making it a derived demand. The overall purpose of this study is to examine the impact of socio-demographic factors on the mode of transport for education. The city of Pune in Maharashtra, India is chosen for the study. It is classified into clusters. Seventy-five households are selected from each cluster. For this, socio-economic classification (SEC) is used. The Ordinary Least Square Regression (OLS) model is used for analysis. ANOVA is used to test the effect of income level on the distance travelled for education. In the survey respondents have to give information on employment, education, income, age, sex and travel characteristics. The study found that for education, children generally tend to travel short distances. Children from poorer backgrounds, travel much shorter distances as opposed to children from well-to-do families. They either walk to school or use bicycles. Motorized transport either in the form of school buses or personalized vehicles such as cars or two-wheelers is the norm for children from higher income families. Therefore, their expenditure on travel for education is found to be greater. The paper brings forth issues concerning commuters, especially from a policy perspective. Challenges faced by users of non-motorized facilities such as pedestrian paths, and bicycling paths are brought forth explicitly. The paper looks beyond solutions by institutions which aim to move vehicles rather than people. Broader roads only encourage more use of personalized transport. Instead, differing modes of transport should ensure greater safety to children.