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As both the practice and the results of the contemporary studies show, collaborative planning, forecasting and replenishment (CPFR) improves the financial performance of supply chain members. The study investigated how Russian companies - the supply chain members, implement the process of CPFR in practice, and how implementation of the concept of collaborative planning affects the financial performance of the companies. The analysis of the obtained results revealed that collaborative planning drives the revenue of companies participating in the supply chain.

The coupling between modern electric power physical and cyber systems is deepening. An increasing number of users are gradually participating in power operation and control, engaging in bidirectional interactions with the grid. The evolving new power system is transforming into a highly intelligent socio–cyber–physical system, featuring increasingly intricate and expansive architectures. Demands for stable system operation are becoming more specific and rigorous. The new power system confronts significant challenges in areas like planning, dispatching, and operational maintenance. Hence, this paper aims to comprehensively explore potential synergies among various power system components from multiple viewpoints. It analyzes numerous core elements and key technologies to fully unlock the efficiency of this coupling. Our objective is to establish a solid theoretical foundation and practical strategies for the precise implementation of integrated planning and operation dispatching of source–grid–load–storage systems. Based on this, the paper first delves into the theoretical concepts of source, grid, load, and storage, comprehensively exploring new developments and emerging changes in each domain within the new power system context. Secondly, it summarizes pivotal technologies such as data acquisition, collaborative planning, and security measures, while presenting reasonable prospects for their future advancement. Finally, the paper extensively discusses the immense value and potential applications of the integrated planning and operation dispatching concept in source–grid–load–storage systems. This includes its assistance in regards to large-scale engineering projects such as extreme disaster management, facilitating green energy development in desertification regions, and promoting the construction of zero-carbon parks.

Promoting and increasing sustainable mobility has become more of a focus in transport and mobility policies and plans. However, challenges remain in its implementation in low-density urban areas, which are usually highly dependent on private motorised transport. This study investigates how local actors and citizens in a low-density suburban area perceive the main mobility challenges and opportunities, contributing empirical evidence on how collaborative planning operationalises accessibility-oriented mobility models in low-density suburban territories, an under-researched context in sustainable mobility. It also examines how co-creation processes contribute to identifying barriers and priorities and to what extent proximity-based concepts such as the 15-Minute City, Transit-Oriented Development (TOD), and Mobility as a Service (MaaS) can be reinterpreted for low-density suburban realities. The methodological approach involved three focus groups with local actors and citizens to identify barriers, priorities, and strategies through collective discussion and co-creation. This process resulted in an agreement on eight (8) co-created strategies, revealing convergence towards promoting active modes and public transport and emphasising that accessibility depends on territorial redesign, digital integration, and inclusive governance. The findings contribute to the empirical evidence that participatory and context-sensitive approaches can enable sustainable mobility transitions in suburban areas by efficiently meeting people’s needs and aspirations.

Urban flood management increasingly relies on adaptive and integrated systems alongside conventional structural measures. Rapid urbanization has escalated the complexity of managing floods. This paper proposes a novel, integrated spatial decision-making approach to enhance flood governance. The study emphasizes the collaborative engagement of stakeholders, including municipal authorities, water agencies, and local communities, within a GIS-based multi-criteria decision analysis (MCDA) framework. A toolbox developed in ArcGIS incorporates the analytic hierarchy process (AHP). While previous studies often treat spatial analysis and stakeholder participation separately, our model integrates these within a spatial planning support system (SPSS). Results from a case study in Tehran, Iran, demonstrate the model’s practical effectiveness in supporting urban flood governance. A final flood hazard map classified the study area into six distinct risk levels: approximately 6% of the area fell into the very-high-risk category, mainly in low-slope, high-density zones with limited drainage capacity, whereas 43% represented moderate-to-high risk and 42% low risk. Least cost path (LCP) analysis, informed by land use, slope, and geology criteria, was applied to delineate optimal urban runoff collection routes, minimizing construction costs by leveraging existing channels and natural gradients. Overall, the proposed model advances data-driven and participatory flood governance by providing a transparent, reproducible, and governance-oriented framework that supports resilient infrastructure planning and policy decision-making in complex urban environments.

With the rapid expansion of the installed scale of new energy(NE), it poses great pressure on the safe and stable operation of power grid (PG), and it is urgent to carry out research on the coordinated development of NE power supply and PG. This paper takes the coordinated development of power generation, transmission and distribution and dispatching as the research object, and adopts the multi-source coordinated development evaluation model of nonlinear programming algorithm in power system to carry out the coordinated evaluation research of the coordinated development of NE sources and regional networks. In the case of balanced access to electricity, wind power is 6.233%, solar photovoltaic power generation is 2.12%, hydropower is 0.835%, and thermal power is 90.812%. This paper is helpful for real-time scheduling of power supply and NE collaborative planning.

Currently, there are problems in the planning of power and new energy systems, such as low energy utilization efficiency and poor algorithm convergence. Traditional power planning methods often overlook the integration and utilization of new energy. Therefore, this article applied linear programming algorithm to collaborative planning to solve the current problems. This article studied the collaborative planning optimization problem of power supply and new energy based on linear programming algorithm. Firstly, an energy system model was established that includes both traditional and new energy sources, taking into account various constraints such as power balance. Then, the linear programming algorithm was used to optimize and solve the model, in order to achieve collaborative planning between power sources and new energy. After optimization and solution, the algorithm proposed in this article has achieved an energy utilization rate of 91%-98%, which can achieve efficient operation of the energy system and reduce environmental loads.

Nowadays, supply chain (SC) decentralised decision making is the most usual situation in SC operations planning. In this context, different companies can collaboratively plan to achieve a certain level of individual and SC performance. However in many cases, there is reluctance to collaborate because it is not known a priori which benefits will be reported. This paper aims to develop a mathematical programming-based methodology for the evaluation of different supply chain collaborative planning scenarios (MPM-SC-CP). It is assumed that different SC decision centres (DCs) make decisions based on mixed and integer linear programming models. Two main inputs feed the proposed MPM-SC-CP, a framework and associated methodology that support the integrated conceptual and analytical modeling of the SC-CP process in which several DCs make decisions according to spatio-temporal integration. Finally, an application to a real ceramic SC was conducted.

Planners are centrally concerned with the legitimacy of planning institutions and practices. In a democratic society, governments depend on the voluntary compliance of external actors for the implementation of their policies. Planning theorists have largely focused on the inclusiveness and quality of deliberation in goal-setting. This article expands this focus using Scharpf’s and Schmidt’s distinction between three domains of legitimation—input, throughput, and output— each of which affords a distinct pathway to legitimacy. These legitimation processes are examined through a comparison of the postwar development of American regional planning institutions in Minneapolis–St Paul, Minnesota, and Portland, Oregon. The input-throughput-output distinction can be used to interpret the operation and impacts of historical planning activities, or prospectively to evaluate the potential impacts of institutional reforms.

The fast-changing Cloud-IoT environment requires effective and dynamic intrusion detection systems (IDS). In order to overcome the weaknesses of the current solutions in managing high-dimensional, heterogeneous network traffic, this paper presents an improved structure with an Enhanced Feature Pyramid Network (EFPN) and a Quantum-Enhanced Child Drawing Development Optimizer (Q-CDDO). The EFPN has been scaled to tabular network data based on multi scale features extraction as pseudo-images. The quantum rotation gates are used in the Q-CDDO for better adjusting the hyperparameters in the EFPN structure with high-dimensional spaces. The model is validated on standard benchmark functions including the CIC-IDS-2017 and Bot-IoT datasets. Th results show an accuracy of 96.3% and 94.6% on the CIC-IDS-2017 and Bot-IoT datasets, respectively. The synergistic effect of both constituents, and the discriminative power of the model are verified by the studies of the ablation and the visualization, respectively. This paper contributes to the progress of IDS and proves the potential of quantum-inspired metaheuristics in cybersecurity.

Land tenure heterogeneity may be an obstacle to forested landscape-level management planning and the provision of ecosystem services. This research focused on the potential of combining participatory workshops and multiple criteria decision methods (MCDMs) to support the development and negotiation of targets for the supply of ecosystem services and help design the management plan needed to meet those targets. We describe an application to two forested landscapes with several ownership types in Portugal. The approach encompassed the design of two workshops involving more than 40 stakeholders (forests owners, the forest service, the forest industry, local municipalities and other nongovernmental organizations). The list of ecosystem services included carbon stocks, cork, pine cones, and forest inventory at the end of the planning horizon as well as volume flows from a range of forest species. Results demonstrated the potential of MCDM tools to help individual forest stakeholders set and adjust ecosystem services target levels. They further demonstrated the potential of MCDMs to facilitate the negotiation of these targets by the stakeholders and the reaching of meaningful solutions. Finally, they demonstrated that these tools provide valuable information to combine the negotiations of both targets and behaviors and programs needed to attain them.