Hasil untuk "Regional planning"

Linyu Ma, Jue Xiao, Gan Teng et al.

Land use changes within urban agglomerations exhibit significant spatiotemporal heterogeneity and regional diversity. In urban agglomeration land simulation, traditional models often struggle to systematically capture these variations. We introduce the GCTP, a novel framework that integrates guided Geographical zoning, Convolutional Neural Networks (CNN)-Transformer, and the Patch-generating Land Use Simulation (PLUS) model. Initially, guided K-means clustering was employed for geographic zoning to characterize regional spatial non-stationarity. Then, a CNN-Transformer network leveraged self-attention mechanisms to capture multi-scale spatial correlations, obtaining pixel-level development probabilities. Finally, these probabilities were fused with PLUS- Land Expansion Analysis Strategy (LEAS) outputs to drive PLUS- Cellular Automata with multi-type Random Seeds (CARS) for patch-level simulation. The results demonstrate the following: (1) The embedding of guided zoning enabled the model to achieve an Overall Accuracy (OA) of 0.941, effectively mitigating global simulation bias. (2) The optimal simulation performance occurred at a fusion weight of 0.81, yielding a Kappa of 0.8917 and an Figure of Merit (FoM) of 0.3830, significantly exceeding a single model. (3) The 2030 simulation indicates that the GCTP model effectively reduces isolated pixels at urban fringes. The GCTP generates neighborhood patterns with high spatial compactness and geographic consistency. This study highlights the significant advantages of integrating long-range spatial perception with geographical heterogeneity constraints in the land expansion simulation of urban agglomerations. The findings support more precise territorial spatial planning practices.

Dimitris Katikaridis, Lefteris Benos, Dimitrios Kateris et al.

Unmanned ground vehicles (UGVs) in agriculture face challenges in navigating complex environments due to the presence of dynamic obstacles. This causes several practical problems including mission delays, higher energy consumption, and potential safety risks. This study addresses the challenge by shifting path planning from reactive local avoidance to proactive global optimization. To that end, it integrates aerial imagery from an unmanned aerial vehicle (UAV) to identify dynamic obstacles using a low-latency YOLOv8 detection pipeline. These are translated into georeferenced exclusion zones for the UGV. The UGV follows the optimized path while relying on a LiDAR-based reactive protocol to autonomously detect and respond to any missed obstacles. A farm management information system is used as the central coordinator. The system was tested in 30 real-field trials in a walnut orchard for two distinct scenarios with varying worker and vehicle loads. The system achieved high mission success, with the UGV completing all tasks safely, with four partial successes caused by worker detection failures under afternoon shadows. UAV energy consumption remained stable, while UGV energy and mission time increased during reactive maneuvers. Communication latency was low and consistent. This enabled timely execution of both proactive and reactive navigation protocols. In conclusion, the present UAV–UGV system ensured efficient and safe navigation, demonstrating practical applicability in real orchard conditions.

Weidong Chen, Meng Lian

Resources and Environmental Carrying Capacity (RECC) is a comprehensive concept that encompasses the interactions between resources, the environment, and human activities, serving as the foundation for social development strategies. To adequately reflect this complex relationship, a multi-level, multi-dimensional evaluation indicator system must be developed. This paper constructs a regional soil environmental evaluation system incorporating PM2.5 indicators, which is in line with relevant environmental protection policies and planning orientations in our country from 2014 to 2023. It analyzes the level and development trend of RECC in Henan Province and proposes measures for effective management. The results indicate the following: (1) The RECC in Henan Province demonstrates a downward trajectory, marked by temporary fluctuations over time. It hit its nadir in 2019, subsequently undergoing a gradual resurgence; (2) Analysis of individual dimension indicators reveals that the natural carrying capacity has declined from a medium to a relatively weaker level. Meanwhile, environmental carrying capacity has shown a slight downward trend but has generally remained stable. In contrast, socio-economic carrying capacity has demonstrated an upward trend, rising from a medium to a relatively strong level. In terms of early warning measures, it is essential to establish a red warning zone, implement a credit record accountability system, and develop a monitoring warning database along with an information technology platform. This paper demonstrates that the indicator system is effective for evaluating RECC across different dimensions and holds significant reference value for assessing RECC in similar regions.

Yazeed Alabbad, Atiye Beyza Cikmaz, Enes Yildirim et al.

Floods pose a substantial risk to human well-being. These risks encompass economic losses, infrastructural damage, disruption of daily life, and potential loss of life. This study presents a state-wide and county-level spatial exposure assessment of the Iowa railway network, emphasizing the resilience and reliability of essential services during such disasters. In the United States, the railway network is vital for the distribution of goods and services. This research specifically targets the railway network in Iowa, a state where the impact of flooding on railways has not been extensively studied. We employ comprehensive GIS analysis to assess the vulnerability of the railway network, bridges, rail crossings, and facilities under 100- and 500-year flood scenarios at the state level. Additionally, we conducted a detailed investigation into the most flood-affected counties, focusing on the susceptibility of railway bridges. Our state-wide analysis reveals that, in a 100-year flood scenario, up to 9% of railroads, 8% of rail crossings, 58% of bridges, and 6% of facilities are impacted. In a 500-year flood scenario, these figures increase to 16%, 14%, 61%, and 13%, respectively. Furthermore, our secondary analysis using flood depth maps indicates that approximately half of the railway bridges in the flood zones of the studied counties could become non-functional in both flood scenarios. These findings are crucial for developing effective disaster risk management plans and strategies, ensuring adequate preparedness for the impacts of flooding on railway infrastructure.

Xiaofeng Zhao, Yanyan Wang, Ying Li et al.

Strategic emerging industries (SEIs) have the potential to be a nation’s leading industries in the post-industrialization era. Exploring the spatial distribution of SEIs and the impetuses of their location choice plays a key role in formulating policies conducive to regional industrial and economic development. However, most studies on relevant topics neglected the impact of institutional environment and local innovation on the formation of spatial patterns of SEIs. By investigating 12,979 industrial enterprises in China, this research applied spatial autocorrelation and spatial regression analysis to explore the spatial characteristics of SEIs and identify the variables affecting the location selection of SEIs that result in these spatial patterns. The findings indicated significant spatial differences in the spatial distributions and agglomeration patterns of SEIs. Institutional environment, local innovation, and regional economy have significant impacts on the location choice of SEIs. The interactive effects of local innovation and institutional environment on the spatial agglomeration of SEIs revealed that a higher degree of decentralization and stronger local innovation capability would promote a stronger agglomeration of SEIs. Regions with strong (weak) marketization and weak (strong) institutions of higher education would promote SEIs agglomeration. Based on the findings, policy options were suggested to facilitate SEIs planning and differentiated pathways of industrial transformation.

Christine E. Gould, Christine E. Gould, Lynsay Paiko et al.

IntroductionAging rural veterans have limited access to geriatric mental health services. The establishment of Veterans Health Administration (VHA) regional telehealth hubs, or Clinical Resource Hubs (CRHs), has the potential to improve access to specialist care via telehealth delivered across healthcare systems within each VHA region. We used the Consolidated Framework for Implementation Research (CFIR 1.0) to examine variations in the tele-geriatric mental health (tele-GMH) care models being used in four CRHs.MethodsWe interviewed 11 CRH geriatric mental health providers and 12 leaders to (1) characterize the models of care, (2) identify factors in their region that support tele-GMH, (3) identify factors underlying model adaptations, and (4) learn about barriers and facilitators during implementation. The interviews were analyzed using a combination of CFIR-based coding and rapid qualitative analysis.ResultsThe services used multiple telehealth modalities; their care delivery approach ranged from consultative to continuity services. Aspects of the inner setting, specifically structural characteristics, implementation climate, and implementation readiness, influenced the model that each CRH implemented. Barriers were largely related to inner setting structural characteristics. Facilitators highlighted the importance of planning, iteration, and engaging stakeholders during implementation.ConclusionTele-GMH models varied in approach, tailoring their services to fit inner setting characteristics. Barriers and facilitators remained consistent across regions. Attending to inner setting characteristics, ongoing process improvement, and nurturing relationships with stakeholders is critical throughout the implementation of a tele-GMH program. Future research should examine the impact of the varied care delivery models on quantitative outcomes, including metrics related to access and healthcare utilization.

Bolanowska Joanna, Dębińska Ewa, Dmytryshyn Marta et al.

Proper location of medical facilities is critical to planning activities for the health security of residents at the regional level. Spatial accessibility of medical services translates into the level of social security of residents and one of the key of the sustainable development. Spatial analyses of the availability of medical services can, therefore, be used to assess the distribution of the locations of stationing Emergency Medical Teams (EMT). The conclusions made will be particularly important when adjusting the strategic documentation and operation of the system, so that the changes made will have the best possible impact on improving the safety of the population. The time it takes to reach those waiting for help plays a key role here. It is a key element in ensuring the effectiveness of emergency medical services. Constantly monitored and analyzed, it can give a complete picture of the optimality of the location of facilities. Its reasonable standards determined by provincial plans year after year should be rigorously observed. However, the key to achieving the shortest possible time to reach an incident is the location and determination of optimal routes for EMT.

Nada Samir Farag, Gehan Elsayed Abd eldayem, Ahmed Saleh Abd Elfatah

Cities confront massive issues like Disasters, climate change, urbanization, population growth, and economic growth; it is necessary to reduce their impact to the minimum possible. To accomplish this, A smart, resilient society intended to manage cities using Big Data, the Internet of Things (IoT), and intelligent information technologies to improve the ability to resist, absorb, and adapt to external changes resulting in urban resilience. Beyond that, constructing a smart, resilient city is a more advanced strategy for reducing vulnerabilities to emergencies like the COVID-19 pandemic and natural disasters like earthquakes and tsunamis. This study proposes a conceptual design for smart resilience cities and explores how a system can improve risk reduction and adaptation approaches and natural disaster recovery. Using various examples, the various states how smart cities' characteristics help cities be more resilient to disasters. The paper explains the differences and similarities between a smart city and a resilient city.

Peipei Cui, Tan Chen, Yingjie Li et al.

The provision of precise and dependable information regarding the extent and distribution of cropland is imperative for the evaluation of food security, agricultural planning, and resource management. Cropland is an important component of land cover type and is offered in multiple existing global/regional land cover products. However, global-scale accuracy evaluation may not be representative of class-specific or local-area accuracy, such as in Northeast China, which is an important grain-producing region of China and has various types of cultivated land (e.g., wheat, rice) and diverse terrains. It poses a great challenge in generating precise cropland classification by automated mapping. Thus, it is indispensable to evaluate the accuracy and reliability of these various land cover datasets before using them. In this study, we collected thirteen sets of global or national-scale land cover datasets. Through the visual interpretation of high-resolution images, ground “truth” samples were collected to evaluate the data accuracy across Northeast China. The overall accuracy (OA) evaluation results in Phase-2020 show that CLCD has the highest value with 0.914, followed by GlobeLand30 (0.906), GLC_FCS30 (0.902), and Esri (0.896) for cropland classification in Northeast China. CGLS-LC100 has the lowest OA (0.710). For the commission and omission errors of six datasets in Phase-2020, CGLS-LC100 has an obvious overestimation (larger commission error), while the two national-scale datasets (CLCD and CLUDs) perform relatively better. In terms of spatial consistency, high spatial agreement among the nine Phase-2015 datasets or in the six Phase-2020 datasets could be discovered in traditional agricultural regions like the Sanjiang–Songnen–Liaohe Plain, and low agreement is found in the transition areas of mountains (hills) and plains with the mixed landscape of forest (grassland) and farmland. In the aspect of comparison pairwise data, CLCD is in good agreement with GLC_FCS30, GlobeLand30, and Esri, while CGLS-LC100 is in the poorest agreement with any other dataset. The comparison and evaluation results are expected to provide a reference on which aspects and to what extent these land cover products may be consistent and guide the cropland data product selection for Northeast China.

Oksana Radchenko, Leonid Tulush, Serhii Leontovych

State security is the main guideline of state policy in the face of global challenges. For Ukraine, it is especially relevant, because during the period of the russian-Ukrainian war, its foundations and essence experience significant deformations. Since the risks and threats to national security have increased enormously in Ukraine under martial law, its financial component should be formed according to the tools corresponding to the challenges, even ahead of them, since, according to analysts, modern war is a war of finances. The problems faced by the state, the banking system, financial and commodity markets and institutions, corporations and households need new financial instruments to ensure flexibility in financing strategic goals. As of September, the losses of the Ukrainian economy from the war are estimated according to various estimates, from USD 105 billion, or 70% of the average annual GDP over the past 5 years, to USD 600 billion, and this exceeds the level of GDP in 2021 by 3 times. This actualizes the needs of the scientific study of financial instruments with the aim of effective state regulation and equalization in the face of limited and increasing losses of human and material resources, changes in the direction and speed of financial flows, their sources, structure, reproduction and reservation. The study examines financial instruments of a predominantly budgetary direction, as well as the components of national indicators of financial security. It is also important to analyze the share of the state in the economy, the size of which determines the speed of response and the completeness of resistance due to a threat to national security. To achieve the goals of the study, the main legally established risks of financial instruments of the national economy during the period of martial law are systematized. The indicators of the financial security of the state for the period of hybrid and military aggression of the rf (2013-2021) were assessed, and according to open sources of data, which are rather limited, a forecast of these indicators for 2022 was made. On the basis of the Financial Stability Report of the National Bank of Ukraine, the budget innovations of the period of martial law are analyzed. The sources of financing the state budget for the period of the legal regime of martial law and its main directions for 2023 are summarized. It is concluded that the financial system of Ukraine in a short time managed to organize financial flows in accordance with the needs of ensuring national security, form an optimal balance of resources, maintain the volume of financing of basic budget expenditures, attract donor resources and resist the inevitable decline of the economy during the war. The role of donor countries of economic and military assistance, in particular Latvia, in deterring military aggression and ensuring the stability of Ukraine's financial policy was emphasized.

Nina J. O’Hanlon, Nina J. O’Hanlon, Nina J. O’Hanlon et al.

Understanding both the distribution and habitat use of populations through the annual cycle is vital to understanding how vulnerable species are to environmental change. However, distributions and habitat use can vary among individuals and populations, particularly in generalist species, with variation depending on external environmental factors, such as resource availability. Comprehensive information across multiple populations is important to guide spatial planning of protected areas and is increasingly available for breeding individuals, but it is still lacking for many species, particularly seabirds, during the non-breeding season, especially those with declining populations. We investigated within-species variation in migratory strategies, non-breeding habitat selection and habitat and spatial specialisation in a declining, opportunistic, generalist seabird, the European herring gull Larus argentatus, from multiple breeding colonies across northwest England and southwest Scotland using global positioning system (GPS) tracking during the non-breeding season of 2014/15. Although several individuals stayed within the area of the breeding colony, the majority of individuals migrated in a southerly direction and spent half of the annual cycle (on average 53%) away from the breeding area and kept moving through the non-breeding period. During non-breeding, herring gulls selected mainly marine intertidal, but also a range of anthropogenic terrestrial habitats. However, habitat selection differed between geographical regions, within a geographical region and among individuals. There was a generalist use of non-breeding habitats at the population level, but some habitat specialisation at the individual level that was repeatable through the non-breeding period despite individuals showing low spatial specialisation. The results highlight the importance of intertidal habitat and a mix of alternative foraging habitats in the wintering areas of herring gulls. The results also highlight that habitat selection in an opportunistic generalist can vary even between nearby regions and that appropriate conservation management plans may need to be tailored to regional differences in specific non-breeding areas.

K. Schade, S. Radisch, M. Hübscher et al.

<p>Many East German cities face long-term shrinking processes, which contribute to declining city centers. This is particularly noticeable in small and medium-sized cities with low human and financial resources. A funding program that helps to regenerate inner cities is the regional city competition „Ab in die Mitte! Die City-Offensive Sachsen“ (AMS) in Saxony, organized as a public-private partnership. This study aims to (1) research AMS concerning its factors of success and obstacles, (2) analyze its role for small and medium-sized cities and, (3) give recommendations to improve AMS. The low-threshold of participation mainly encourages small and medium-sized cities to take part. AMS strengthens exchange and knowledge transfer and promotes endogenous planning strategies. The city competition offers low funding possibilities; therefore, it can only serve as an incentive system. AMS should improve transparency within the evaluation process and, realign its concept to future urban development strategies.</p>

Yerik Afrianto Singgalen, G. Sasongko, P. G. Wiloso

This study aims to describe the community participation in regional tourism development from the perspective of Arnstein's theory through ladder of participation in Pitu Beach as the top Tourist Destination of North Halmahera Regency, Indonesia. The primary data used in this study were obtained from the representatives of local government (district-subdistrict-village), youth organization, local entrepreneur community and stakeholders who involved in regional tourism development of North Halmahera. While the secondary data were obtained from the Public Works Office of North Halmahera Regency. The results show that community participation in regional tourism development showed the existence of the control society in tourism planning, implementing and evaluating the development program. Thus it could be proofed that community-based tourism approach had been successfully implemented in the context of North Halmahera, Indonesia.

Lisa Turriff, John Gallinger, Michel Ouellette et al.

Entry into postgraduate medical training in Canada is facilitated through a national application and matching system which establishes matches between applicants and training programs based on each party’s stated preferences. Health human resource planning in Canada involves many factors, influences, and decisions. The complexity of the system is due, in part, to the fact that much of the decision making is dispersed among provincial, territorial, regional, and federal jurisdictions, making a collaborative national approach a challenge. The national postgraduate application and matching system is one of the few aspects of the health human resources continuum that is truly pan-Canadian. This article examines the evolution of the application and matching system over the past half century, the values that underpin it, and CaRMS' role in the process.

Lazar D. Gitelman, Vladimir V. Dobrodey, Mikhail V. Kozhevnikov

Nowadays, it is relevant to consider changes in the structure of the fuel and energy balance of industrial regions and the availability of imported fuel and energy resources, especially in the areas that lack energy sources. The ongoing structural shifts in energy consumption systems and the growing uncertainty in energy markets encourage the development of tools for improving the sustainable development of regional energy systems. To refine the theoretical and methodological basis of the study, we defined its conceptual framework, described the difference s betwee n sustainabl e functionin g an d developmen t o f th e energy sector and determined the factors of its regional differentiation and manifestations of the energy crisis. Further, we identified the shortcomings of the existing methods for forecasting the demand for electricity. We paid special attention to quality factors of strategic planning in the region, in particular, the used statistics and documents. Based on the analysis of integrated resource planning (IRP) methodology, our experience in forecasting fuel and energy balances, assessment of sectoral indicators of energy efficiency and energy demand in the region, we proposed a model for predictive and analytical justification of regional programmes for energy development. Such a model significantly increases the information reliability of these programmes’ implementation. Considering organisational tools to support sustainable development, we developed a regional energy management scheme and a mechanism stimulating local energy companies to improve energy efficiency in the consumption sector, enhance regional competition and attract investments in the renewal of fixed assets. The study has practical significance due to recommendations and tools for adjusting regional energy policy based on the coordination of the predicted parameters for various participants in the energy supply process.

Li Wei, Li Jiheng, Guo Junhong et al.

Hydropower, which is the most extensively used renewable energy, is sensitive to the change of streamflow under the great impact of precipitation. According to the relationship between the hydropower station generation and local precipitation, the impact of precipitation on hydropower can be analyzed. In this paper, the global climate model and regional climate model simulations in precipitation are compared firstly, and the high-resolution precipitation data are then calculated by stepwise clustering analysis statistical downscaling method. Secondly, based on the hydropower potential (HP), the hydropower response model driven by precipitation is established. Finally, the simulated generation of a hydropower station in Dadu River basin is used as a case to validate this proposed model. The results show that precipitation will increase by around 42% from May to August in study region, while it will decrease by 40% in other months in RCP4.5. For different periods of reservoir scheduling, the precipitation will increase by about 40% in the Neutral I and Wet period, while it will decrease by around 30% in other periods, which will lead to the shortening of the peak period of hydropower generation and the peak value will be decreased. Correspondingly, the results show power generation will decrease by around 12% from June to December and increase by around 4% in the rest months. On the other hand, owing to the changes in precipitation, the future power generation will increase by 25% in Neutral I and decrease by 13.5% in other periods, but the total hydropower generation will remain. The results can provide some decision support for future water resources management in Dadu river basin, especially for the planning and operation of hydropower stations.

M. Beccali, M. Cellura, M. Mistretta

L. Karrasch, M. Maier, M. Kleyer et al.

Land management in coastal areas has to cope with impacts of climate change and sea level rise. In Germany, landscape plans assess and organize the spatial allocation of land use as an environmental contribution to general spatial planning. Collaborative planning processes are important to develop sustainable and ecosystem-based strategies to make coastal landscapes climate proof. However, there is little experience with collaborative processes in practical planning in Germany, and probably in other countries as well. This paper conducts an empirical case study in the low-lying coastal areas of northwest Germany. During a collaborative landscape planning process, four different ecosystem-based land management scenarios have been co-designed by regional experts and researchers. The participatory and iterative process included the development of scenario narratives to define planning goals, the use of land use elements and their relations to ecosystem services as planning entities in terms of indicators, the art-based illustrations of the different scenarios, and an evaluation and monitoring of the outcomes by regional experts. The decision-maker group decided on the so-called “actor-based” scenario, which contained freshwater retention areas (polders) to prevent potential uncontrolled flooding of the hinterland. This climate adaptation strategy has been implemented in the regional development plan of the county.

Manuel Wolff, Dagmar Haase, Annegret Haase

Changes in urban residential density represent an important issue in terms of land consumption, the conservation of ecosystems, air quality and related human health problems, as well as the consequential challenges for urban and regional planning. It is the decline of residential densities, in particular, that has often been used as the very definition of sprawl, describing a phenomenon that has been extensively studied in the United States and in Western Europe. Whilst these studies provide valuable insights into urbanization processes, only a handful of them have reflected the uneven dynamics of simultaneous urban growth and shrinkage, using residential density changes as a key indicator to uncover the underlying dynamics. This paper introduces a contrasting analysis of recent developments in both de- and re-concentration, defined as decreasing or increasing residential densities, respectively. Using a large sample of European cities, it detects differences in density changes between successional population growth/decline. The paper shows that dedensification, found in some large cities globally, is not a universal phenomenon in growing urban areas; neither the increasing disproportion between a declining demand for and an increasing supply of residential areas nor actual concentration processes in cities were found. Thus, the paper provides a new, very detailed perspective on (de)densification in both shrinking and growing cities and how they specifically contribute to current land take in Europe.

Jayanath Ananda, G. Herath