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Background: The habitat structure, the environmental impact, the market acceptance, the changes in consumers’ preferences, and the pandemic urged for innovative solutions in urban last-mile delivery. Parcel lockers are among the most preferred solutions by customers due to their home proximity, time availability, and cost efficiency. Methods: This paper introduces an agent-based model (ABM) and a Monte Carlo simulation program to analyze in detail the activity of parcel locker points. The ABM describes the behavior of the agents (customers, parcels, lockers, delivery agents). The simulation is realized using ARENA 12 software. Two scenarios are created based on the number of daily delivery shifts; for each scenario, 300 simulation experiments with various input data are conducted. Results: Three measures of performance (MOPs) are selected to assess the system activity: the number of daily delivered parcels, the delivery time of an order, and the daily delayed orders. The simulation outputs reveal significant predictors of MOPs and disclose moments when actions need to be taken to increase system capacity or change customer behavior. Conclusions: The versatility of the simulation model in terms of input variables makes it a useful decision support tool for planning by highlighting quantitative assessments, organizing delivery activity, along with influences due to customer behavior changes.

At the present time, the increase in the level of motorization has led to levels of congestion that are difficult for the inhabitants of large cities to bear, with negative implications on quality of life. Solving the problem of congestion can no longer be achieved just by expanding and developing the networks; other solutions must be found that fit the requirements of the sustainable development of society. One of the solutions that is becoming more and more promoted today is that of increasing the degree of use of high-capacity public transport networks. For this, the network must serve a surface as large as possible of the territory, and the operating conditions must deal with transport requests with a varied structure and with different intensities in short time intervals. The paper aims to review several models of the topological accessibility of transport networks and to analyze how the Bucharest metro network serves the territory, after the last extension carried out in 2020. It is noted that only 56% of the city’s surface is currently covered by the metro network, while the city is in a continuous territorial expansion. Through the case study presented in the paper, the accessibility of some points of interest for Bucharest residents who use the metro network is also determined. At the end, there are formulated conclusions regarding the development and territorial coverage of the metro network and proposals for further developments, so that the services offered can benefit as many of Bucharest’s residents as possible.

(1) Background: The reliability of port equipment is of significant interest to industry stakeholders due to the economic and logistical factors governing the operation of maritime container terminals. Failures of key equipment like quay cranes can halt operations or cause economically significant delays. (2) Methods: The impact assessment of these disruptive events is conducted through terminal activity modeling and discrete-event simulation of internal processes. The system’s steady-state or transient condition, induced by disruptive events, is statistically assessed within a set of scenarios proposed by the authors. (3) Results: The Heidelberg–Welch and Geweke tests enabled the evaluation of steady-state and transient conditions within the modeled system, which was affected by the reduced reliability of container-handling equipment. (4) Conclusions: The research findings confirmed the usefulness of modeling and simulation in assessing the impact of equipment reliability on maritime container terminal operations. If the magnitude of the disruptive event exceeds the terminal’s absorption capacity, the system may become blocked or remain in a transient state without the ability to recover. This underscores the necessity of analyzing the reliability of critical handling equipment and implementing corrective maintenance actions when required.

The transit through a Border Check Point of cargo vehicles supposes, in the case of the Romanian highway network, the carrying out of a process of weighing and verifying of transport licenses. The limited number of weighing equipment and the long duration of these processes cause large queues and long waiting times. A solution for these problems is to use smart equipment to identify the cargo vehicles and to separate the vehicles that require weighing from exempted ones. The separation process is made using external input data. The quality of received data can generate some dysfunctionality in the separation process. The discrete simulation model can be used to evaluate the influence of the uncertainty over the system serving parameters. A study case is developed for a real situation using real data collected from a Romanian Highway Traffic Control Center (HTMC). The results are used in the implementation of the new smart equipment in a Romanian Border Check Point.

This paper introduces a simulation model designed as a decision-making tool to assess and analyze various crowd management strategies with a focus on enhancing sustainability in airport operations. This model specifically addresses the challenges and risks associated with managing passenger flows within airport terminals. By simulating different scenarios, the model aims to provide valuable insights into how to effectively handle crowd dynamics and enhance overall terminal efficiency, safety, and sustainability. This case study was conducted at Henri Coanda International Airport, ARENA 12 simulation software being used in order to model the passenger flows within the airport terminal. Two scenarios were considered: The first one involves maintaining a fixed number of security and check-in desks for the two airline groups. In contrast, the second scenario allows for a variable number of security and check-in desks for the same airline groups. By optimizing resource allocation and minimizing waiting time, this model contributes to more sustainable airport management operations. Three measures of performance (MOPs) were selected to assess the system activity: the average passenger waiting time, the average passenger number queue length, and the average utilization rate. Comparing the results, we concluded that the second scenario shows a relative improvement in almost all performance measures when compared to the first scenario.

The continuous growth of the urban traffic threats cities with \"thrombosis\", generating social, economic and ecological long term problems. The paper outlines the positive externalities induced by the non-motorized transportation (walking, bicycling or small-wheeled transport) at individual, social and environmental level. This kind of transportation meets the requests of the urban sustainable development, being used stand-alone or as a part of an intermodal chain. Local authorities, education institutes, corporate and non-governmental organizations should be involved in challenging perceptions and attitudes toward non-motorized trips. Beside the infrastructure construction, the early education is mandatory for creating a civic culture regarding the use of non-motorized transportation. The case study in Bucharest shows out the present state concerning the use of non-motorized transportation and the barriers in using it.

The presence of congestion in large cities leads local decisional leaders to research and develop new methods to reduce traffic on urban road, such as: park and ride, car sharing, etc. The benefits for the implementation of such a solution are difficult to be estimate. For this it is necessary to develop an urban travel demand model which is customized for a specific situation analysed. In the paper is proposed a travel demand model with a component for extra-urban traffic and in addition it is used to estimate the impact of developing park and ride facilities. A study case for Bucharest city is developed using real data from the last Master Plan for Transport. The results of it can also be used by the Municipal Council to justify new investments in urban transport infrastructure.

Hypertension is a prevalent chronic condition that requires effective self-management strategies for optimal control and complications prevention. Self-management interventions have become a crucial component in the management of hypertension. Therefore, this review aimed to determine effective self-management strategies for hypertensive patients.Articles were searched from four databases, namely Science Direct, Ebsco (MEDLINE), Proquest, Pubmed and Sage Journals based on PRISMA guidelines. The search included articles published in English between 2013 and 2022. A key term search strategy was adopted using “self-management interventions”, “nursing interventions”, “experimental study” and “hypertensive patients” to identify relevant studies.The results showed that self-management interventions have been proven to have positive effects on various aspects of hypertension self-management, including blood pressure monitoring, disease knowledge, medication adherence, and lifestyle modifications. These interventions can be delivered through technology-based platforms. Moreover, there are different types of self-management interventions for hypertensive patients, including individual and group approaches, the use of technology, nursing theory, and interventions based on the cultural aspects of patients.To conclude, as professionals, nurses should be able to determine which self-management strategies are suitable for the conditions and requirements of patients.