Hasil untuk "Regional planning"

Amin Zargar, R. Sadiq, Bahman Naser et al.

Drought is a stochastic natural hazard that is instigated by intense and persistent shortage of precipitation. Following an initial meteorological phenomenon, subsequent impacts are realized on agriculture and hydrology. Among the natural hazards, droughts possess certain unique features; in addition to delayed effects, droughts vary by multiple dynamic dimensions including severity and duration, which in addition to causing a pervasive and subjective network of impacts makes them difficult to characterize. In order manage drought, drought characterization is essential enabling both retrospective analyses (e.g., severity versus impacts analysis) and prospective planning (e.g., risk assessment). The adaptation of a simplified method by drought indices has facilitated drought characterization for various users and entities. More than 100 drought indices have so far been proposed, some of which are operationally used to characterize drought using gridded maps at regional and national levels. These indices co...

Ronald E. Miller, P. Blair

This essential reference for students and scholars in the input-output research and applications community has been fully revised and updated to reflect important developments in the field. Expanded coverage includes construction and application of multiregional and interregional models, including international models and their application to global economic issues such as climate change and international trade; structural decomposition and path analysis; linkages and key sector identification and hypothetical extraction analysis; the connection of national income and product accounts to input-output accounts; supply and use tables for commodity-by-industry accounting and models; social accounting matrices; non-survey estimation techniques; and energy and environmental applications. Input-Output Analysis is an ideal introduction to the subject for advanced undergraduate and graduate students in many scholarly fields, including economics, regional science, regional economics, city, regional and urban planning, environmental planning, public policy analysis and public management.

Thomas R. Karl, K. Trenberth

J. Vogelmann, S. Howard, Limin Yang et al.

E. Blakely, Nancey Green Leigh

A. Amin, N. Thrift

Ayona Datta

Kai Pan, Zhenying Zhang, Lingwei Feng et al.

The quality of soil in urban green spaces often deteriorates due to poor design practices, insufficient maintenance, and environmental pressures associated with urbanization. Although biochar, as an effective soil additive, can significantly improve the soil quality in greenspace, it significantly influences the phosphorus (P) cycling processes through functional regulation of microbial community; however, further analysis is essential to validate this mechanism. Therefore, this study reported pot experiments using Euonymus kiautschovicus, a typical urban greenspace plant, followed by metagenomic analysis for investigating microbial-driven P cycle mechanisms. Four treatment groups were established according to the dosage of biochar, including 0% (CK), 4% (BC4), 8% (BC8), and 12% (BC12). Biochar application significantly increased soil available P (AP) and total P (TP) content, with BC12 demonstrating maximum AP and TP content of 21.79 mg kg−1 and 0.62 g kg−1, respectively. On the one hand, biochar serves as a direct source of P. On the other hand, it enhances AP by regulating P-cycling functional microorganisms. Random forest model identified phnP, phoA, relA, ppnK, pstA, phnD, and pstS as the putative keystone genes regulating soil P cycling. Microbial co-occurrence network analysis and partial least squares path modeling (PLS-PM) demonstrated that the biochar application improved soil AP by regulating putative keystone microbial taxa (Modules 1 and 2) involved in P cycling. This study elucidates the microbial mechanisms underlying biochar-mediated P cycling in greenspace soils, providing a scientific basis for biochar application for improved soil quality in urban greenspace.

Renyuan Shen, Yong Wang, Huaiyang Liu et al.

Dense foliage, severe illumination variations, and interference from multiple individuals with similar appearances in complex orchard environments pose significant challenges for vision-based following robots in maintaining persistent target perception and identity consistency, thereby compromising the stability and safety of fruit transportation operations. To address these challenges, we propose a novel framework, DeepDIMP-ReID, which integrates the Deep Implicit Model Prediction (DIMP) tracker with a person re-identification (ReID) module based on EfficientNet. This visual perception and autonomous following framework is designed for differential-drive orchard transportation robots, aiming to achieve robust target perception and reliable identity maintenance in unstructured orchard settings. The proposed framework adopts a hierarchical perception–verification–control architecture. Visual tracking and three-dimensional localization are jointly achieved using synchronized color and depth data acquired from a RealSense camera, where target regions are obtained via the discriminative model prediction (DIMP) method and refined through an elliptical-mask-based depth matching strategy. Front obstacle detection is performed using DBSCAN-based point cloud clustering techniques. To suppress erroneous following caused by occlusion, target switching, or target reappearance after occlusion, an enhanced HOReID person re-identification module with an EfficientNet backbone is integrated for identity verification at critical decision points. Based on the verified perception results, a state-driven motion control strategy is employed to ensure safe and continuous autonomous following. Extensive long-term experiments conducted in real orchard environments demonstrate that the proposed system achieves a correct tracking rate exceeding 94% under varying human walking speeds, with an average localization error of 0.071 m. In scenarios triggering re-identification, a target discrimination success rate of 93.3% is obtained. These results confirm the effectiveness and robustness of the proposed framework for autonomous fruit transportation in complex orchard environments.

J. Niemelä, Sanna‐Riikka Saarela, Tarja Söderman et al.

Tabea Bucher-Koenen, A. Lusardi

Xueying Jiang, Wenhao Li, Xiaoqin Zhang et al.

3D task planning has attracted increasing attention in human-robot interaction and embodied AI thanks to the recent advances in multimodal learning. However, most existing studies are facing two common challenges: 1) heavy reliance on explicit instructions with little reasoning on implicit user intention; 2) negligence of inter-step route planning on robot moves. We address the above challenges by proposing 3D Reasoning-Driven Planning, a novel 3D task that reasons the intended activities from implicit instructions and decomposes them into steps with inter-step routes and planning under the guidance of fine-grained 3D object shapes and locations from scene segmentation. We tackle the new 3D task from two perspectives. First, we construct ReasonPlan3D, a large-scale benchmark that covers diverse 3D scenes with rich implicit instructions and detailed annotations for multi-step task planning, inter-step route planning, and fine-grained segmentation. Second, we design a novel framework that introduces progressive plan generation with contextual consistency across multiple steps, as well as a scene graph that is updated dynamically for capturing critical objects and their spatial relations. Extensive experiments demonstrate the effectiveness of our benchmark and framework in reasoning activities from implicit human instructions, producing accurate stepwise task plans and seamlessly integrating route planning for multi-step moves. The dataset and code will be released.

Yuanjie Lu, Tong Xu, Linji Wang et al.

Most, if not all, robot navigation systems employ a decomposed planning framework that includes global and local planning. To trade-off onboard computation and plan quality, current systems have to limit all robot dynamics considerations only within the local planner, while leveraging an extremely simplified robot representation (e.g., a point-mass holonomic model without dynamics) in the global level. However, such an artificial decomposition based on either full or zero consideration of robot dynamics can lead to gaps between the two levels, e.g., a global path based on a holonomic point-mass model may not be realizable by a non-holonomic robot, especially in highly constrained obstacle environments. Motivated by such a limitation, we propose a novel paradigm, Decremental Dynamics Planning that integrates dynamic constraints into the entire planning process, with a focus on high-fidelity dynamics modeling at the beginning and a gradual fidelity reduction as the planning progresses. To validate the effectiveness of this paradigm, we augment three different planners with DDP and show overall improved planning performance. We also develop a new DDP-based navigation system, which achieves first place in the simulation phase of the 2025 BARN Challenge. Both simulated and physical experiments validate DDP's hypothesized benefits.

Jiahao Liu, Cheng Wang, Tianshu Bi

The regional inertia, which determines the regional rate of change of frequency (RoCoF), should be kept in a secure status in renewable-penetrated power systems. To break away from mapping the regional maximum RoCoF with regional inertia in a linearized form, this paper comprehensively studies the regional inertia security problem from formulation to applications. Firstly, the regional inertia security region (R-ISR) is defined, whose boundary is non-linear and non-convex. Then, a local linearized method is devised to calculate the global maximum of regional RoCoF. The non-convex ISR boundary is expressed by multiple simple boundaries corresponding to each local solution, which can be obtained by a simple search-based method. Finally, the convexified R-ISR constraint is formed by convex decomposition and embedded in an inertia optimal adjustment model. The results on a 3-region system show some counter-intuitive findings, such as increasing the inertia of one region may worsen its RoCoF.

Gaoyuan Liu, Bas Boom, Naftali Slob et al.

Pruning is an essential agricultural practice for orchards. Proper pruning can promote healthier growth and optimize fruit production throughout the orchard's lifespan. Robot manipulators have been developed as an automated solution for this repetitive task, which typically requires seasonal labor with specialized skills. While previous research has primarily focused on the challenges of perception, the complexities of manipulation are often overlooked. These challenges involve planning and control in both joint and Cartesian spaces to guide the end-effector through intricate, obstructive branches. Our work addresses the behavior planning challenge for a robotic pruning system, which entails a multi-level planning problem in environments with complex collisions. In this paper, we formulate the planning problem for a high-dimensional robotic arm in a pruning scenario, investigate the system's intrinsic redundancies, and propose a comprehensive pruning workflow that integrates perception, modeling, and holistic planning. In our experiments, we demonstrate that more comprehensive planning methods can significantly enhance the performance of the robotic manipulator. Finally, we implement the proposed workflow on a real-world robot. As a result, this work complements previous efforts on robotic pruning and motivates future research and development in planning for pruning applications.

Xiaoxuan Wu, Hang Liu, Wei Liu

Global climate change, rapid urbanization, and economic development have brought many challenges and threats to human production and lifestyles, increasing the necessity for sustainable human development, urban ecological governance, and low-carbon energy transformation. The current research on the green ecological transition model of global megacities is relatively scattered, with most studies focusing on the green ecological transition of a single dimension of ecological or social value. Based on the panel data of the economic, social, and ecological of Chengdu from 2010 to 2020, we measure the level of green ecological transition of Chengdu and its regions using the entropy weight method and TOPSIS method and then utilize exploratory spatial data analysis to explore the spatiotemporal evolution dynamic of green ecological transition in Chengdu city, and finally use the spatial Durbin model to analyze the key factors of green ecological transition in Chengdu park city. The results showed that: (1) the overall green ecological development level of Chengdu Park City showed an obvious upward trend, and the spatial region presents the characteristics of the circle structure of decreasing from the inside to the outside; (2) the green ecological transformation of Chengdu park cities has shown a positive spatial autocorrelation since 2015, and Jinjiang and Qingyang districts have become the green ecological transformation; (3) the adjustment of energy structure and the improvement of market freedom had a significant positive impact on the development of park cities, with a contribution of 8.3% and 10.9%, respectively. These results and findings will help to provide references for academic research and urban area planning on the green and low-carbon development transition and regional sustainable development of megapark cities.

Elena A. Kachanova

Introduction. The impact of global challenges in the modern world establishes its own technologies for achieving balance in planning and using budget finances in Russia. These problems acquire a special spectrum within the framework of a large number, diversity of legal types, natural and geographical features of the territory and financial independence of local budgets. Local budgets are the most significant source of financing for public utility infrastructure facilities that residents of municipalities use every day, which ultimately determines the comfort and quality of living in the local area. This article aims to consider the theoretical and methodological approaches to the content and causes of the local budget deficit and to substantiate the criteria for the effectiveness of its financing with an uncertain revenue base and increasing costs for organizing the provision of municipal services in all areas of expenditure obligations of local governments. To substantiate the working hypothesis of the study, we point out that local budgets of all legal types of municipalities have gratuitous transfers from higher-level budgets as the main source of revenue base, a small amount of tax initiative and budgetary powers to assess their expenditure obligations. As a rule, all these powers are regulated at the federal and regional levels. The methodological basis of the study was the provisions of the Keynesian and neo-Keynesian schools of budget regulation, taking into account the new model of municipal governance. The empirical basis of the study was the control indicators of draft budgets of a number of municipalities of the Sverdlovsk region, obtained by the author from official sources and the results of the webinar with representatives of financial departments as part of local governments of the Sverdlovsk region. Results and conclusions. The results of the study identified the criteria for the formation and implementation of an effective budget deficit policy, formulated practical recommendations for local governments to optimize the financing of the local budget deficit and servicing the debt obligations of the municipality in the context of prevention and adaptation to global challenges. As further directions of scientific research, it is necessary to indicate an assessment of the possibilities of applying these criteria by local governments to the reformed provisions of the budget legislation of Russia, expected for 2030-2036.

Abeer Mohammed Galal El_Deen

ظهرت أهمية استخدام تكنولوجيا المعلومات والاتصالات (ICT) في الخدمات التي تقدمها المدن لساكنيها خلال العقد الماضي خاصة في الدول المتقدمة، وقد ساهم ذلك في تطور مجتمعاتها ورفع مستوى كفاءة معيشتهم. امتد هذا الاتجاه وهو تحويل المدن وخدماتها إلى مدن "ذكية" إلى جميع الدول بما فيها الدول النامية. أظهرت الدراسات أن تكلفة البنية الأساسية الذكية المرتفعة قد تعيق استخدامها في الدول النامية والفقيرة أو أنه سيقتصر استخدامها على فئات محددة من المجتمع. وحيث أن هدف المدن الذكية هو تحسين جودة حياة المواطنين فكان هناك حاجة لدراسة أساليب أو حلول لتطبيق التكنولوجيا في الدول النامية بشكل يناسب ويحسن جودة حياة مجتمعاتها. تتبع الدولة المصرية حاليا سياسات تتوافق مع اتجاه المدن الذكية على المستوى العلمي والتطبيقي، فقد تم تجهيز بنية أساسية ذكية ببعض مدن الجيل الرابع، وكذلك وضعت خطط لتقديم بعض الخدمات باستخدام تكنولوجيا المعلومات والاتصالات بالمدن القائمة. وحيث أن مصر تصنف من الدول النامية، فكان من الواجب عمل دراسة لإمكانية استفادة جميع فئات المجتمع الحضري المصري من هذه الخدمات بل ورفع مستوى معيشته من خلالها. يقترح البحث بعض الحلول الاستراتيجية والإجرائية التي تمكّن حصول جميع فئات مجتمع المدينة المصرية على الخدمات الذكية وسبل حل مشاكله باستخدام التكنولوجيا، من خلال استنباط ايجابيات وسلبيات المدينة المصرية الذكية ومجتمعاتها، وكذلك دراسة بعض التجارب الدولية المشابهة للحالة المصرية في هذا الصدد، وباستشارة المتخصصين في المجالات ذات الصلة، يضع البحث أنسب الحلول لمجتمع المدينة المصرية وأكثرها قابلية للتطبيق. The importance of using (ICT) has emerged over the past decade, this has contributed in developing the societies and raise their quality of life, especially in developed countries. The transformation of cities and their services into "smart" has spread all over the world, including developing countries. Studies have shown that the high cost of smart infrastructure may either hinder its use in developing and poor countries or limit its use to specific levels of society. Therefore, there was a need to come up with solutions to apply new technologies in developing countries that suit and improve the quality of life of their societies. Egypt currently is setting policies in order to be executed in smart cities. Smart infrastructure has been equipped in some new cities, and some services were transformed to be smart in existing cities. Since Egypt is classified as a developing country, it was necessary to study the possibility of benefiting all levels of the Egyptian urban society from these services and raising their quality of life. The research suggests some strategic and procedural solutions that enable all levels of Egyptian cities communities to acquire the smart services and solve their problems using technology. By extracting the pros and cons of the Egyptian city and its communities, as well as studying some international experiences similar to the Egyptian case, that used technology to solve their citizens problems, in addition of consulting specialists in related fields, the research sets the most appropriate and applicable solutions for the Egyptian smart city that suit their communities.

Gita Safitri, Hanny Wahidin Wiranegara, Yayat Supriyatna

Perkembangan perumahan berpagar di wilayah metropolitan Jabodetabek terlihat dari tingginya permintaan atas hal tersebut. Namun, perumahan berpagar mencerminkan bentuk segregasi spasial yang berkontribusi terhadap segregasi sosial yang makin meluas. Tren ini bertentangan dengan tujuan pembangunan perumahan, yaitu menciptakan komunitas yang kohesif. Tujuan studi ini untuk mengidentifikasi faktor-faktor yang mempengaruhi preferensi pemilihan perumahan berpagar. Terdapat tiga tipe perumahan berpagar di wilayah Jabodetabek: single-gated community, clustered gated community, dan private city. Pengumpulan data menggunakan metode survei kuesioner dengan menggunakan Skala Likert dengan sampel 100 responden. Teknik analisis menggunakan Regresi Linier Berganda. Responden berasal dari tiga kategori perumahan berpagar. Hasil penelitian menunjukkan bahwa variabel lokasi dan aksesibilitas, kontrol keamanan di tingkat cluster, dan fisik rumah berpengaruh signifikan pada preferensi penghuni pada tiga tipe komunitas berpagar di wilayah ini. Berdasarkan preferensi responden, tipe private cities adalah yang paling tinggi. Dalam mengurangi segregasi sosial melalui pembangunan tipe ini perlu dipertimbangkan penyediaan diversifikasi tipe rumah dan penyediaan fasilitas dan ruang komunal yang lebih luas agar menarik penduduk dari berbagai latar belakang.

Ayodeji Okubanjo, bashir olufemi odufuwa, Dr, Benjamin Olabisi Akinloye, Dr et al.

The recent growth in car use and population have been identified as potential drivers of municipal traffic congestion, particularly in emerging nations with inadequate road networks. In Nigeria, for example, traffic wardens and traffic lights are prominent traffic control measures used to ease traffic congestion at major road intersections. However, stress, public anger, and rash traffic signal judgments restrict the effectiveness of these tactics, resulting in delayed mobility, decreased transit times, and a climate disaster. Recent solutions have emphasized emerging technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and Artificial Neural Network (ANW). Consequently, an efficient use of these technologies can provide a sustainable future for city traffic management in Sub-Saharan African. This model seeks to develop a low cost internet-of-things traffic surveillance system to improve vehicles mobility on a Nigerian closed campus. The goal is to alleviate the academic community's problem of peak-hour traffic congestion by delivering real-time traffic updates