Planning Process Research Articles

Interdisciplinary participation in climate-adapted urban land-use planning – findings of two gaming simulations in the city of Bottrop, Germany

Purpose Sustainable and climate-adapted urban development requires integrative governance approaches and forms of collaboration between different disciplinary actors in urban society. Integrative approaches are a particular challenge for those planning cultures in which they are not yet sufficiently established. This also applies to formal urban land-use planning in Germany, which forms the governance setting of this study. This study aims to examine how interdisciplinary participation in formal urban land-use planning contributes to the consideration of climate adaptation in the planning process. Design/methodology/approach This paper traces the process of two differently designed interdisciplinary participation formats based on the methodological framework of a gaming simulation, each in the context of a formal urban land-use planning procedure in Bottrop, Germany. The gaming simulations are designed as performance simulations in which we involved several representatives from different public authorities. Findings The gaming simulations show that interdisciplinary participation can lead to an increased awareness of climate adaptation requirements in particular and a mutual understanding of different logics of action in the context of comprehensive and sustainable urban planning in general. In addition, this paper provides recommendations as to how and under what conditions the benefits of the simulations can be transferred to municipal practice. Originality/value While integrative and interdisciplinary formats are increasingly being used in the context of informal urban planning, this does not apply to formal urban land-use planning. Participation in formal urban land-use planning procedures is classically linear and multidisciplinary in Germany. Using two simulated interdisciplinary participation formats, this paper tested to what extent the consideration of climate adaptation requirements as a cross-sectoral task can benefit from interdisciplinarity in the context of two formal urban land-use planning procedures.

Long-term load forecasting for Smart Grid

Abstract The load forecasting problem is a complicated non-linear problem connected with the weather, economy, and other complex factors. For electrical power systems, long-term load forecasting provides valuable information for scheduling maintenance, evaluating adequacy, and managing limited energy supplies. A future generating, transmission, and distribution facility's development and planning process begins with long-term demand forecasting. The development of advanced metering infrastructure (AMI) has greatly expanded the amount of real-time data collection on large-scale electricity consumption. The load forecasting techniques have changed significantly as a result of the real-time utilization of this vast amount of smart meter data. This study suggests numerous approaches for long-term load forecasting using smart-metered data from an actual distribution system on the NIT Patna campus. Data pre-processing is the process of converting unprocessed data into a suitable format by eliminating possible errors caused by lost or interrupted communications, the presence of noise or outliers, duplicate or incorrect data, etc. The load forecasting model is trained using historical load data and significant climatic variables discovered through correlation analysis. With a minimum MAPE and RMSE for every testing scenario, the proposed artificial neural network model yields the greatest forecasting performance for the used system data. The efficacy of the proposed technique has been through a comparison of the acquired results with various alternative load forecasting methods.

Water safety planning application for aesthetic quality of drinking water

ABSTRACT The World Health Organization considers water quality aesthetic parameters affecting taste, odor, and appearance, as factors to be monitored to determine the overall safety of water. Water safety plans (WSPs) can be used by utilities to proactively identify aesthetic hazards, rank them by likelihood of occurrence and consequence to the utility, generate risk scores, and provide direction on how to monitor, mitigate, and verify that controls are in place. The City of Wichita Falls Public Water System (CWF PWS) used the water safety planning approach to outline how aesthetics may negatively affect the system from source water, in-plant processes, and into the distribution system. By proactively identifying these hazards and outlining what to do using a WSP, the utility has put measures in place to ensure that aesthetically acceptable water is delivered to their customers. This article outlines the water safety planning process for water quality aesthetics and how the CWF PWS developed and implemented its WSP.

Well Pattern optimization as a planning process using a novel developed optimization algorithm

Determination of optimum well location and operational settings for existing and new wells is crucial for maximizing production in field development. These optimum conditions depend on geological and petrophysical factors, fluid flow regimes, and economic variables. However, conducting numerous simulations for various parameters can be time-consuming and costly. Also, due to the high dimension of the possible solutions, there is still no general approach to address this problem. The application of searching algorithm as a general approach to solve such problems has received much attention in recent years. In this study, the efficiency, and reliability of genetic algorithm, particle swarm optimization and in particular a newly developed algorithm was analyzed and compared. The novelty of this work is the integrated algorithm, which improves searching performance by leveraging the memorizing characteristics of the particle swarm optimization algorithm to enhance genetic algorithm efficiency. In traditional genetic algorithms, solutions lacking adequate qualifications are deleted from the algorithmic process; however, the new algorithm provides these solutions with additional opportunities to prove themselves by acquiring new velocities from particle swarm optimization. The results indicate that while the genetic algorithm and particle swarm optimization do not guarantee optimal outcomes, the newly developed algorithm outperforms both methods. This performance was tested across various scenarios focused on well pattern optimization, highlighting its innovative contribution to the field development.

Maternal and perinatal death surveillance and response in Bangladesh: A case study on measuring impact through health information systems

The health sector in Bangladesh is thriving, and the Maternal and Perinatal Death Surveillance and Response (MPDSR) program has been in place to investigate the causes of maternal and perinatal death. This study aimed to investigate the availability of information systems for measuring the status of an MPDSR program and the planning process and actions developed based on real-time information. This study delved into innovative information systems that can be used to monitor and measure the impact of health programs. The study included both the primary and secondary data. A total of six key informant interviews were conducted to explore the enablers and strengths of information systems. Secondary data were collected from government websites and MPDSR action plans. This study highlights the potential and challenges of governmental health information systems in notifying maternal and neonatal deaths. While the current notification rates are not up to national standards, it is encouraging to see health managers develop action plans and address this issue. The MPDSR information system is a valuable tool to help health managers measure changes in maternal and perinatal mortality rates and design locally targeted interventions. However, several obstacles must be addressed, such as insufficient data, lack of monitoring, and irregularities in MPDSR review meetings. By finding ways to overcome these challenges, we can unlock the full potential of MPDSR and improve maternal and neonatal health outcomes. The success of an MPDSR program relies on how the information is utilized to take action and measure the outcome. Advanced information systems, such as health dashboards, scorecards, and administrative data, can play a vital role in measuring the progress and impact of a program. The primary challenge lies in capturing all deaths, including their causes, and having the capacity to analyze the data effectively to develop action plans for health managers.

The future of tourism: interview with Nicole Ferdinand about Notting Hill Carnival Futures

PurposeAs the Journal of Tourism Futures celebrates its 10th anniversary, Dr. Albert Postma interviews Dr. Nicole Ferdinand (Oxford Brookes University Business School).Design/methodology/approachA personal interview.FindingsThe interview provides insights about the application of scenario planning for a mega event such as Notting Hill Carnival, how the process of scenario planning was experienced by the participants and the effect the study had on the Carnival, and how it was perceived in subsequent years.Originality/valueFerdinand shares her experiences with and learnings of the Notting Hill Carnival Futures project, conducted in 2013–2014 as first international project by the European Tourism Futures Institute.

Optimizing quality and cost in remanufacturing under uncertainty

AbstractIn the context of growing sustainability demands, businesses are increasingly adapting their production practices by integrating remanufacturing. However, companies often face challenges in profitably implementing remanufacturing due to complexities arising from uncertainties in processes, product quality, and market conditions. This highlights the need for effective decision support in remanufacturing processes. Addressing this challenge, our research introduces an algorithm designed to identify cost-efficient process plans that optimize order fulfillment while considering a company’s specific capabilities and inventory levels. By modeling the remanufacturing planning process as a Markov process, our algorithm comprehensively accounts for both process-related and quality-related uncertainties. This approach enables the evaluation of all Pareto optimal process plans in terms of cost efficiency and reliability. We validate our methodology through a real-world application in the automation industry, specifically focusing on the remanufacturing of variable speed drives. This case study demonstrates the practical relevance of our approach and a potential for significant cost reductions, enhanced process efficiency, and improved labor productivity. Overall, businesses gain critical insights into the financial prospects of their remanufacturing efforts, identifying opportunities for optimization and expansion into new product quality categories. This enhances their economic potential and aligns with consumer preferences for distinct product qualities.

Application and Prospect of Artificial Intelligence Technology in Low-Carbon Cities—From the Perspective of Urban Planning Content and Process

In the era of digital transformation, artificial intelligence (AI) technology—one of the swiftest growing emerging technologies—when integrated with urban planning, can introduce innovative approaches for low-carbon city development and foster the attainment of dual carbon objectives: carbon neutrality and peak carbon emissions. Current research predominantly investigates the influence and alterations of emerging technologies on urban elements, yet it overlooks a comprehensive examination of the applicable procedures of these technologies and their potential synergy with urban planning. Consequently, this study employs a systematic literature review to delve into the application of AI in sectors such as architecture, transportation, land use, and green space development. It categorizes the specific impact processes into monitoring, identification, simulation, and prediction. By offering an exhaustive analysis of urban planning’s content and methodology, this paper elucidates the role of AI technology in the creation of low-carbon cities. The study found that: (1) Due to the varying degrees of application and integration with professional technologies in different fields, the current research focuses more on architecture, land use, and transportation. (2) Combining the four steps of urban planning, artificial intelligence can be divided into monitoring, recognition, simulation, and prediction types, each with its own characteristics. (3) Overall, AI technology is mainly applied in the identification and simulation of architecture, transportation, and land use. (4) There is still room for improvement in the application of AI technology in waste emissions and other algorithms.

Dual Energy Metal Artifact Reduction for Iodine-125 Seed Identification in Postimplant CT after Prostate Brachytherapy.

To assess the metal artifact reductions of dual-energy computed tomography (DECT) high-energy virtual monochromatic images (VMI) combined with the single energy metal artifact reduction (SEMER) (CANON MEDICAL SYSTEMS, Otawara, Japan) processing techniques for iodine (I)-125 seed identification in postimplant computed tomography (CT) after prostate brachytherapy. Dual-energy acquisition with fast tube voltage switching was performed on a prostate phantom with simulated seeds and six clinical cases treated with I-125 prostate brachytherapy. The images were retrospectively reconstructed at VMI energy levels of 65-200 keV and with and without SEMAR (SEMAR and non-SEMAR images). To estimate seed swelling, the caliber of iodine-125 seed was calculated as the full width at half maximum. The metal artifacts were evaluated using the artifact index (AI). The dose distributions were calculated and were compared among the high-energy VMI (SEMAR and non-SEMAR images) and low-energy VMI (SEMAR images). The blooming artifacts decreased at higher energy levels. In addition, the SEMAR process markedly reduced AI, which helped reduce overestimation of high dose ranges in the treatment planning dose map. The locations and number of iodine-125 seed were clearly identified in the dose distribution map of the treatment planning using 200keV VMI with SEMAR. The high-energy VMI of the dual energy CT in combination with SEMAR is appropriate for the postimplant planning process of I-125 prostate brachytherapy.

Pedagogical responsiveness: Focus on the Ukuqonda institute’s mode of engagement in mathematics

This paper was prompted by mathematics teachers’ challenges in implementing the proposed framework that centres on teaching for understanding, as opposed to teaching aimed at producing marks as evidence of achievement. Teaching for understanding in mathematics, among other factors, requires the creation of engaging and inclusive learning environments underpinned by teachers’ pedagogical responsiveness to the diverse needs of learners. We investigated pedagogical responsiveness, focusing on the Ukuqonda Institute’s mode of engagement in mathematics. We specifically pursued two research questions: 1) What are the key elements of the Ukuqonda Institute’s mode of engagement in mathematics? and 2) What characterised the pedagogical responsiveness of mathematics educators at the Ukuqonda Institute? We adopted collaborative autoethnography and used two data sets generated from audio recordings captured by the authors. We employed narrative analysis and organised the findings using the characteristics of pedagogical responsiveness as heuristic devices. The findings show that the participants’ pedagogical responsiveness was stimulated by the iterative process of team planning, deliberate implementation, and reflection. The prevalent characteristics were learner interactions, learner focus, inclusivity, dialogue and relationality, knowledge work, social justice, and equity. We recommend that similar studies be conducted targeting pedagogical responsiveness with a focus on other mathematical themes. Furthermore, this study suggests that, to remain pedagogically responsive, there should be constructive alignment among the types of tasks, questions, classroom interactions, and targeted content that underpin mathematics teaching and learning across different educational levels.

The Use of Image‐Based Data and Abundance Modelling Approaches for Predicting the Location of Vulnerable Marine Ecosystems in the South Pacific Ocean

ABSTRACTVulnerable marine ecosystems (VMEs) are typically fragile and slow to recover, thereby making them susceptible to disturbance, including fishing. In the high seas, the United Nations General Assembly (UNGA) requested regional fishery management organisations (RFMOs) to implement measures to prevent significant adverse impacts on VMEs. Here, we predict spatial abundances of 15 taxa, 13 VME indicator taxa, in the South Pacific RFMO (SPRFMO) area. Models used seafloor imagery data, an important advance on previously developed presence‐only predictions, to provide information on spatial variation in taxa abundance that is crucial for better inferring likely location of VMEs, rather than just distribution of VME indicator taxa. Abundance models varied in predictive power (mean R2 ranged 0.02–0.40). Uncertainty estimates of model predictions were developed to inform future spatial planning processes for conservation and management of VMEs. Using the VME index concept, abundance model outputs and previously published presence‐only model predictions were weighted using vulnerability scores, to explore how modelled outputs could provide spatial estimates of likely VME distribution. Spatial predictions of abundance improved on previous modelling to provide an almost complete suite of abundance models for VME indicator taxa in the western portion of the SPRFMO Convention area. Nevertheless, to improve utility of modelled outputs, we recommend more high‐quality seafloor imagery data be gathered within the SPRFMO Convention area to (1) validate abundance models developed here with independent data from the model area, (2) update models, if necessary, (3) link abundance information to ecosystem function and (4) explore validity of the adapted VME index approach used here.

Making the Invisible, Visible: An Exploration of Track-and-Field Coaches' Perspectives of Their Planning Processes.

The traditional understanding of how coaches plan for sporting performance is rooted in the assumption that coaches create periodized plans underpinned by physiological principles, thereby providing scientific credibility to their work. In contrast, there remains a paucity of literature exploring how coaches understand or think about their planning practices. The purpose of this study was to generate new knowledge regarding what information coaches actually consider within their planning processes and how they actually approach the task of planning. Using rigorous, in-depth interviews, this study examined athletics coaches' understandings of their everyday planning practices, in an attempt to contribute to narrowing the gap between academic research and real-world application. Twenty-eight highly experienced, high-performance track-and-field coaches based in England (female, n = 1; male, n = 27) were recruited. The coaches were from the throwing disciplines (n = 10) and endurance running (n = 18). Coaches were interviewed about their planning process, using a maximum of 3 semistructured interviews per coach, spaced across a full athletics season. In total, this generated 68hours of data. The analysis demonstrated that, while the participant coaches utilized the principles of periodization, their planning activities were not limited to this issue. The findings highlighted how the coaches conceptualized successful athletic performance in a holistic way; that is, planning is multifaceted in nature. This study presents a holistic picture of the complexity of coaches' planning, detailing the considerable time and attention given to planning for athletes' psychological, personal, and social development, to enhance athlete performance and development.

The Employer Perspective

Apply It! By reading this article, you will: • Gather insight from key industry stakeholders on the latest fitness trends identified in the 2025 Trends report. • Learn how industry stakeholders use the Trends report to inform their strategic planning and decision-making processes. • Understand alignment of 2025 Trends report and real-world trends, through the perspective of industry stakeholders.

Case Study: Innovative Approach To Increase Well Productivity by Adapting Drilling Targets and Completion Methodology

_ The discourse regarding US land exploration and production has tended to primarily focus on shale development. While this has pushed the industry to adopt many technologies or applications, the general recipe has been to be faster and cheaper with hopefully more predictable BOE/ft production. However, there are limitations with this approach as it tends to boil down to a choice of substitution rather than true engineering to improve return on investment or improved net present value. The relationship of parent and child well production has introduced a variable that does not necessarily respond to faster and cheaper. In fact, operators may agree that a dissolvable frac plug has application to reduce completion costs while completely disagreeing on the methodology to manage field development and the parent-child interaction. Extensive field study and calibration can determine an optimal solution with varying degrees of predictability (SPE 211899). For example, reservoir depletion and fracture communication can be difficult to accurately plan for in advance. These and several additional parameters are specific to a section, field, or bench and the design and planning process begins anew when drilling locations move a sufficient distance away from the asset in question. The best outcome during the drilling and completion of a child well is to limit the negative impact on parent well production while delivering an economically viable addition to existing production. Acceptable ranges of underperformance with the child well vary, but can be summarized as 20 to 30% less than the parent well (SPE 209171). Additionally, contact from an offset child well fracturing operation can detrimentally affect parent well production temporarily or permanently by increasing water production and decreasing hydrocarbon production. Introduction This case study presents the development of a methodology for optimizing and controlling the hydraulic fracturing process’s parameters by increasing cluster efficiency to 100% and overcoming formation leakoff with eight to 10 times rate per cluster when compared with industry standards. The developed framework is validated through field completion and production data taken from wells located on the Northwest Shelf, within the San Andres formation, specifically straddling the state line of New Mexico and Texas with operations primarily in northeast Lea County, New Mexico, and Yoakum County, Texas. For the purposes of this study, parent wells are wells drilled during Segment 1 (2013 to 2016) and/or the first wells drilled in a section. Child wells are defined as any subsequent wellbore placed in a section amongst current producers Segment 2 (2017 to 2020) and Segment 3 (2022 to 2023). The offset true vertical depth (TVD) of the child wells relative to the parent wells is less than 100 ft and no geologic barrier exists, thus the contribution to production is from the same rock matrix regardless of well vintage.

Mobilising in the face of large-scale urban change: a conversation between two community organisers from Johannesburg and London

Large-scale and long-term urban development projects often cause sizeable transformations in the built and social fabric, raising questions about the impacts on existing neighbourhoods and communities, and how they might try to shape the development. There are significant challenges to achieving community-based engagement at a large scale involving mobilising a wide range of stakeholders with different positionalities, agendas and priorities across multiple and diverse areas of a city. In this interview, two experienced organisers reflect together on their different but resonant experiences in building community networks to engage with large-scale developments. Between 2016 and 2018, the research project ‘Governing the Future City’ explored the governance of large-scale developments in three urban areas—London, Johannesburg and Shanghai. In Johannesburg and London, the research process directly funded and supported community-based organising in relation to the planning and implementation of the developments. The organisers and researchers worked with existing community-based organisations to try to influence the planning process, drawing together a wide range of affected community and neighbourhood groups. During the course of the research project, the two community coordinators, Mike Makwela (Planact, Johannesburg), focusing on the Corridors of Freedom project, and Sharon Hayward (London Tenants Federation and Grand Union Alliance), working on the Old Oak Park Royal development, visited the other city to explore possibilities to learn from each other’s experiences and contexts. In 2017, while Sharon was in Johannesburg, project researcher Romain Dittgen interviewed them together, twice, on 18 and 20 July, about their experiences of organising and mobilising in their respective cities, specifically in relation to large-scale development projects and in the context of highly diverse communities. Key issues that emerged concerned shared values of community self-organising, the benefits of building consensus or working with different views, and different approaches to relations with government officials and elected representatives. In parallel, they also reflected about working and collaborating with academics, as well as about possibilities for critical analysis of the developments and mutual learning across the two cases.

국악 교육에서의 PBL 모형을 적용한 메타버스 국악공연 제작연구

This study aimed to develop students' self-directed problem-solving abilities and explore new possibilities for producing Korean traditional music performances in the metaverse by applying the Problem-Based Learning (PBL) model in Korean traditional music education. The PBL teaching-learning process was structured into five stages: encountering the problem, planning for problem-solving, exploring and re-exploring, devising solutions, and presenting and evaluating. Through the process of planning and producing a Korean traditional music performance, students were encouraged to solve problems independently, and they carried out the performances they created using the metaverse platform 'ifland.' The results of the study showed that the production of metaverse Korean traditional music performances, using the PBL model, significantly improved students' self-directed learning abilities and collaborative learning skills. Furthermore, it confirmed the potential of Korean traditional music education within the metaverse environment. This study suggests that the application of the PBL model to the production of metaverse Korean traditional music performances can contribute to the modernization of Korean traditional music education and the advancement of educational methodologies. It also emphasizes the need to expand the use of digital platforms in Korean traditional music education in the future.

Urban Planning Strategies for Coastal Cities in China in Response to Climate Change

Global climate change has increasingly posed a serious threat to coastal cities, rendering them particularly vulnerable to the adverse effects of rising sea levels, more frequent and intense extreme weather events, and the shifting patterns of climate. Traditional urban planning methods, which had been the cornerstone of city development, were found to be inadequate in addressing these escalating challenges. The previous studies often failed to account for the critical importance of integrating climate factors into the planning process, leading to vulnerabilities in urban infrastructure and design. This study meticulously examined the limitations of these conventional urban planning approaches and explored the potential for adapting urban planning strategies in Chinas coastal cities to better respond to the looming threat of climate change. By conducting a thorough analysis of the impacts of high temperatures, floods, and other climate-related events, the study proposed a comprehensive series of response measures tailored to the specific conditions of the time. These measures included the integration of green policies into urban planning to enhance environmental sustainability, the strategic selection of building materials aimed at mitigating urban heat, and the enhancement of water resource management systems to alleviate the urban heat island effect. Moreover, the study closely investigated existing climate response measures through detailed case studies in Xiamen and Dalian, two prominent coastal cities in China. The primary objective was to significantly enhance the resilience of these cities, effectively reduce the risks associated with climate change, and promote a path towards sustainable development. Ultimately, the goal was to create more livable, safer, and sustainable urban environments that would be better equipped to face the challenges posed by an unpredictable climate future.

ANALISIS FAKTOR PENYEBAB TERJADINYA (CCO) PADA PROYEK PEMBANGUNAN TEMPAT KULINER DAN POS JAGA TAMAN KOTA DENPASAR

In implementing construction projects, problems are often faced, one of which is the occurrence of changes. This cannot be avoided on most projects due to the uniqueness of each project and limited time and costs in the planning process. For this reason, adjustments need to be made and this often results in changes in costs and changes in project implementation time. In turn, adjustments made must also be accommodated in administrative and contractual aspects in the form of a Contract Change Order (CCO). The aim of this research was to determine the factors that cause CCO, and to find out the factors that cause CCO that are most dominant in the implementation of construction projects for culinary establishments and park guard posts in the city of Denpasar. This research uses a quantitative descriptive method, where there are 41 factors that cause CCO. The data analysis method was carried out using the cut off point method. The results of the research show that there are 33 factors that cause CCO in the construction of culinary establishments and guard posts identified from the results of literature studies, interviews and questionnaires with 30 respondents, and the most dominant factors that cause CCO are found to be 11 factors out of 33 factors- The most dominant factor causing CCO. Of the 11 factors, the highest average value is in variable X41, namely changes in quality and material specifications of 3.87 and the lowest is in variable.

Geographical ignorance: The vital role of geographic knowledge for decision-makers

The ongoing environmental, social, and cultural problems in today’s world indicate that geographic knowledge (GK) is not given sufficient importance by decision-makers. On the other hand, decision-makers, when making crucial decisions that impact competitiveness, economic well-being, and environmental stability, face significant risks and potential costs due to gaps in GK and a lack of awareness. In this context, this article presents a theoretical investigation that underscores how GK can assist decision-makers in achieving success in their decisions. We characterize GK with a mindset emphasizing the complex spatial system connections and the significant role of space in decision-making processes. The article discusses this topic at the local-regional, national, and international scales. As a result, we argue that addressing the knowledge gaps of decision-makers is impactful in enhancing their capacity to understand the mutual relationships among environmental dynamics at various scales and enables the synthesis of economic, political, social, and cultural mechanisms within human society. Considering the support of theory for empirical studies, we hope that this study will also support empirical research related to planning. Overcoming challenges requires a holistic approach that not only equips decision-makers with GK but also enables its effective implementation throughout the planning process.

A comprehensive framework to assess multi‐species landscape connectivity

Abstract Due to the central role of landscape connectivity in many ecological processes, evaluating and accounting for it has gained attention in both theoretical and applied ecological sciences. To address this challenge, researchers often use generic species to simplify multi‐species connectivity assessments. Yet, this approach tends to oversimplify movement behaviour, likely reducing realism and precision of connectivity model outputs. Also, the most widely used methods and theories for assessing landscape connectivity, namely circuit and network theories, have strong limitations. Finally, uncertainty or robustness estimates are rarely integrated in connectivity assessments. Here, we propose a versatile framework, which, instead of using arbitrary defined generic species, first identifies species groups based on species' environmental niches and morphological, biological, and ecological traits. Second, it combines circuit and network theories to take the best of the two methods to assess landscape connectivity for those groups, while integrating uncertainties in modelling choices. Specifically, ecological continuities (i.e. landscape elements contributing to connectivity) are calculated for these groups and used together with group dispersal capacities to derive network‐based connectivity metrics for conservation areas. We detailed our framework through a case study where we assess the connectivity of 1619 protected areas in metropolitan France for 193 vertebrate species. Our study revealed that both the protection of ecological continuities and the connectivity of protected areas for 11 mammal and 19 bird groups, respectively, were quite low, with variations among groups. Different protection types (i.e. national parks, reserves or prefectural orders) contributed unequally to the overall connectivity of group‐specific suitable habitats. Considering uncertainty propagation was crucial, as many connectivity metrics varied among repetitions. The proposed framework combines different connectivity tools to provide a more relevant and comprehensive assessment of landscape connectivity. It can be used to inform the decision‐making process for spatial planning, particularly in the context of connectivity conservation and management, or support theoretical studies to better understand the ecological role of landscape connectivity. Its flexibility allows easy application under various environmental conditions, including future scenarios.