Spatial Objectives Research Articles

A multi-objective approach for timber harvest scheduling to include management of at-risk species and spatial configuration objectives.

Sustainable forestry typically involves integration of several economic and ecological objectives which, at times, may not be compatible with one another. Multi-objective prioritization via harvest scheduling programs can be used to elucidate these relationships and explore solutions. One such program is a spatially explicit harvest scheduler that adopts the Metropolis-Hastings algorithm to iteratively find management solutions to achieve multiple objectives (Habplan). Although this program has been used to address forest management scheduling and simulation-based tasks, its utility is constrained by time-intensive data preparation and challenges with incorporating spatial configuration objectives. To address these shortcomings, we introduce an open-source software package, HabplanR, streamlines data preparation, sets parameters, visualizes results, and assesses spatial components of ecological objectives. We developed four example objectives to incorporate into a multi-objective management problem: habitat quality indices for three species "types" (open, closed, and intermediate-canopy-associated species), and harvested pine pulpwood (revenue). We demonstrate the utility of this package to find management schedules that can accommodate potentially conflicting habitat needs of species, while achieving economic targets. We produced 100 software runs and prioritized individual objectives to select four management schedules for further comparisons. We compared outcome differences of the four schedules, including a spatial comparison of two high performing schedules. The software package makes costs and benefits of different schedules explicit and allows for consideration of the spatial configuration of management outcomes in decision-making.

Mesh representation matters: investigating the influence of different mesh features on perceptual and spatial fidelity of deep 3D morphable models

BackgroundDeep 3D morphable models (deep 3DMMs) play an essential role in computer vision. They are used in facial synthesis, compression, reconstruction and animation, avatar creation, virtual try-on, facial recognition systems and medical imaging. These applications require high spatial and perceptual quality of synthesised meshes. Despite their significance, these models have not been compared with different mesh representations and evaluated jointly with point-wise distance and perceptual metrics. MethodsWe compare the influence of different mesh representation features to various deep 3DMMs on spatial and perceptual fidelity of the reconstructed meshes. This paper proves the hypothesis that building deep 3DMMs from meshes represented with global representations leads to lower spatial reconstruction error measured with L1 and L2 norm metrics and underperforms on perceptual metrics. In contrast, using differential mesh representations which describe differential surface properties yields lower perceptual FMPD and DAME and higher spatial fidelity error. The influence of mesh feature normalisation and standardisation is also compared and analysed from perceptual and spatial fidelity perspectives. ResultsThe results presented in this paper provide guidance in selecting mesh representations to build deep 3DMMs accordingly to spatial and perceptual quality objectives and propose combinations of mesh representations and deep 3DMMs which improve either perceptual or spatial fidelity of existing methods.

The prediction of urban growth boundary based on the ANN-CA model: An application to Guangzhou

Urban growth boundary (UGB) delineation is critical not only for China's urban planning policies, such as the "three control lines" of the Ministry of Natural Resources, but also for addressing global challenges related to sustainable urban development. This study contributes to the international discourse on urban growth management by developing an innovative artificial neural network-cellular automata (ANN-CA) model, tailored for cities experiencing rapid expansion. Using Guangzhou as a case study, we constructed an impact factor model that incorporates a wide range of factors, including urban spatial terrain, natural environment, current urban land classification, and industrial and economic conditions, along with the layout of modern service networks. The ANN-CA model was then employed to simulate urban spatial expansion and UGB delineation for the year 2030 under various constraints, such as strict protection zones and sustainable development scenarios. Our findings indicate that between 2020 and 2030, Nansha, Panyu, and Zengcheng districts will witness the most significant urban expansion, with respective area increases of 13.81 km2, 8.94 km2, and 5.8 km2, marking them as key growth areas. Furthermore, we propose that future urban expansion in Guangzhou should prioritize the southern and eastern regions, aligning with the city's strategic spatial objectives of "moving east, expanding south, connecting west, and optimizing north." By emphasizing ecological protection and intensive land use, this study provides a robust framework for urban planning in Guangzhou and offers insights applicable to rapidly urbanizing regions worldwide.

Revive Textile and Product Textile Industry Performance Through Improved Implementation of Key Spatial Utilization Program Policies

The space utilization program policy, which is realized in preparing indications for the main space utilization program, is the key to achieving spatial planning objectives and a reference in regional development planning. This research aims to examine and analyze how the Bandung Regency Government (Department of Industry and Trade, Regional Planning, Research and Development Agency, Public Works and Spatial Planning Service, and Environmental Service) implements phase 1 space utilization program policies (2017- 2021) based on a combination of rational model and management models dimensions from Khan and Khandaker's policy implementation theory. The method used in this research is descriptive qualitative through interviews with sources using purposive sampling supported by literature from journals, data, and other reports from central and regional governments that are relevant to the research. The results of this research show that the implementation of the space utilization program policy has not been running optimally, so improvements are needed in terms of maintaining consistency between the main space utilization program and regional sectoral programs, through periodic monitoring before the 5-year review, improving the quality of resources in optimizing expenditure budgeting planning capabilities regional areas, building intense communication with SMEs and increasing cooperative connectivity between the TPT industry which functions upstream and downstream in the Bandung Regency area.

Advancing understanding of the linkages between local land policy interventions and the responsiveness of housing supply: Intervention mechanisms in the Finnish context

Land policy interventions are important ways for municipalities to implement their spatial development objectives. Such interventions may, however, generate both intended and unintended effects to housing supply and its responsiveness. It is therefore essential to better understand how and through what kind of mechanisms local land policy interventions can influence the quantity of housing supply. This paper addresses these questions. First, we develop a conceptual classification of so-called intervention mechanisms that describes the linkages between local land policy interventions and the quantity and responsiveness of housing supply. The intervention mechanisms build on a review of the urban economics literature and are further developed empirically using extensive expert interview data on local land policy interventions and practices in 30 Finnish municipalities. Based on the understanding that such intervention primarily influences housing supply through either direct or indirect costs on development, we conceptualize seven intervention mechanisms in the Finnish land policy context. Second, we demonstrate the variation in the application of land policy interventions that contribute to the (in)responsiveness of housing supply at the municipal level. Our findings highlight significant variation in the application of such interventions, potentially leading to different outcomes in housing supply restrictiveness. The findings contribute to a deeper understanding of the mechanisms by which land policy interventions operate to affect the (in)responsiveness of housing supply.

Academic Knowledge on Quality of Life in Urban Africa: What Do We Know?

AbstractEven though vague and contested, the construct of the quality of life can play an important role in gauging the success of spatial governance. It is present in most spatial policy objectives and many scholars describe it as the ultimate goal of spatial governance. The question remains, however, whether the construct of the quality of life is explored in sufficient depth to understand its practical relevance within widely divergent African contexts. Africa is notorious for its low levels of life quality and many scholars argue that research on its difficulties is not focalized and conclusions are too often drawn without truly considering the unique African context. To discover the extent of the current knowledge base on African life quality, African-specific case study research was identified and analyzed. A systematic literature review was conducted following the textual narrative synthesis approach. The analysis revealed a geographically sparsely distributed knowledge base of urban African quality of life. Further to this, a wide variety of research themes were identified, ranging from socio-economic, physical, and environmental characteristics to strategic planning and sustainable development. This sparsely distributed knowledge base, along with the wide variety of research themes and the undefined nature of the quality of life, makes it difficult to compare the case studies. The paper, subsequently, calls for further case study research to enable a true understanding of the association and meaning of quality of life within the African context that would ultimately support appropriate development of measurements in urban Africa.

Tradeoffs Between Temporal and Spatial Pattern Calibration and Their Impacts on Robustness and Transferability of Hydrologic Model Parameters to Ungauged Basins

AbstractOptimization of spatially consistent parameter fields is believed to increase the robustness of parameter estimation and its transferability to ungauged basins. The current paper extends previous multi‐objective and transferability studies by exploring the value of both multi‐basin and spatial pattern calibration of distributed hydrologic models as compared to single‐basin and single‐objective model calibrations, with respect to tradeoffs, performance and transferability. The mesoscale Hydrological Model (mHM) is used across six large central European basins. Model simulations are evaluated against streamflow observations at the basin outlets and remotely sensed evapotranspiration patterns. Several model validation experiments are performed through combinations of single‐ (temporal evaluation through discharge) and multi‐objective (temporal and spatial evaluation through discharge and spatial evapotranspiration patterns) calibrations with holdout experiments saving alternating basins for model evaluation. The study shows that there are very minimal tradeoffs between spatial and temporal performance objectives and that a joint calibration of multiple basins using multiple objective functions provides the most robust estimations of parameter fields that perform better when transferred to ungauged basins. The study indicates that particularly the multi‐basin calibration approach is key for robust parametrizations, and that the addition of an objective function tailored for matching spatial patterns of ET fields alters the spatial parameter fields while significantly improving the spatial pattern performance without any tradeoffs with discharge performance. In light of model equifinality, the minimal tradeoff between spatial and temporal performance shows that adding spatial pattern evaluation to the traditional temporal evaluation of hydrological models can assist in identifying optimal parameter sets.

VoxAR: Adaptive Visualization of Volume Rendered Objects in Optical See-Through Augmented Reality.

We present VoxAR, a method to facilitate an effective visualization of volume-rendered objects in optical see-through head-mounted displays (OST-HMDs). The potential of augmented reality (AR) to integrate digital information into the physical world provides new opportunities for visualizing and interpreting scientific data. However, a limitation of OST-HMD technology is that rendered pixels of a virtual object can interfere with the colors of the real-world, making it challenging to perceive the augmented virtual information accurately. We address this challenge in a two-step approach. First, VoxAR determines an appropriate placement of the volume-rendered object in the real-world scene by evaluating a set of spatial and environmental objectives, managed as user-selected preferences and pre-defined constraints. We achieve a real-time solution by implementing the objectives using a GPU shader language. Next, VoxAR adjusts the colors of the input transfer function (TF) based on the real-world placement region. Specifically, we introduce a novel optimization method that adjusts the TF colors such that the resulting volume-rendered pixels are discernible against the background and the TF maintains the perceptual mapping between the colors and data intensity values. Finally, we present an assessment of our approach through objective evaluations and subjective user studies.

Spatial Planning Response to the Challenges of Climate Change Adaptation: An Analysis of Selected Instruments and Good Practices in Europe

The task of combining objectives, spatial planning instruments, and climate change adaptation targets is a complex endeavour that varies across countries. There is a call for a universal discussion on how spatial planning should respond to climate change challenges. To address this issue, this article delves into the approaches taken by Greece, Spain, Portugal, and Poland, aiming to explore how spatial planning instruments support climate change adaptation goals. The authors, based on a jointly extracted questionnaire, identified what they consider to be the most relevant examples of instruments to use to ensure the integration of spatial planning objectives and the response to climate challenges. The identified solutions are compared in detail. Three key spatial planning themes emerged in this study: investment in renewable energy, the development and preservation of green infrastructure, and the protection of coastal zones. This article examines the systemic solutions found in these countries, discusses the role of both classical and sectoral spatial planning instruments, and identifies the level of public authority responsible for key interventions. It shows that instruments developed at the supra-local level should support local authorities by providing them with legal and substantive arguments for developing solutions relevant to climate challenges.

Scale, evidence, and community participation matter: lessons in effective and legitimate adaptive governance from decision making for Menindee Lakes in Australia’s Murray-Darling Basin

Rivers and their interdependent human communities form social-ecologically complex systems that reflect basin scale functionally but are often governed by spatially mismatched governance systems. Accounting for this complexity requires flexible adaptive governance systems supported by legitimacy in decision-making processes. Meaningful community dialogue, information exchange, transparency, and scientific rigor are essential to this process. We examined failings in the adaptive governance of the Menindee Lakes system, a major Australian wetland system on the Barka/Darling River of the Murray-Darling Basin. Ecological sustainability of the Menindee Lakes was a casualty of a top-down governance, driven by the New South Wales Government in pursuit of “water savings” for the Murray-Darling Basin, a large scale, federally influenced region. We used quantitative and qualitative methods to analyze long-term social-ecological impacts and stakeholder perceptions of adaptive governance. State and federal government agencies failed basic processes of adaptive governance, ignoring local environmental sustainability in pursuit of basin scale objectives at great cost to governments, communities, humans, and non-humans. This resulted in the development of an ineffective, technocratic solution that lacked community input, leading to a complete loss of support by local communities, including traditional owners. We emphasize the importance of elements of scale in adaptive governance projects, if such projects are going to be effective and legitimate with consequences of coarse commitments to large spatial scale political and environmental objectives.

An improved non-dominated sorting biogeography-based optimization algorithm for multi-objective land-use allocation: a case study in Kigali-Rwanda

ABSTRACT With the continuous increase of rapid urbanization and population growth, sustainable urban land-use planning is becoming a more complex and challenging task for urban planners and decision-makers. Multi-objective land-use allocation can be regarded as a complex spatial optimization problem that aims to achieve the possible trade-offs among multiple and conflicting objectives. This paper proposes an improved Non-dominated Sorting Biogeography-Based Optimization (NSBBO) algorithm for solving the multi-objective land-use allocation problem, in which maximum accessibility, maximum compactness, and maximum spatial integration were formulated as spatial objectives; and space syntax analysis was used to analyze the potential movement patterns in the new urban planning area of the city of Kigali, Rwanda. Efficient Non-dominated Sorting (ENS) algorithm and crossover operator were integrated into classical NSBBO to improve the quality of non-dominated solutions, and local search ability, and to accelerate the convergence speed of the algorithm. The results showed that the proposed NSBBO exhibited good optimal solutions with a high hypervolume index compared to the classical NSBBO. Furthermore, the proposed algorithm could generate optimal land use scenarios according to the preferred objectives, thus having the potential to support the decision-making of urban planners and stockholders in revising and updating the existing detailed master plan of land use.

The regulatory failure of spatial planning and its environmental impact: a case study of hotel projects in Bali, Indonesia

PurposeThis paper aims to explain the impact of spatial planning regulations in the development of hotels in Bali, particularly as regards environmental damage. It then analyzes the factors that cause spatial planning to fail to prevent environmental damage.Design/methodology/approachThis paper is based on both fieldwork and library research, and a broadly socio-legal approach is adopted, involving a combination of doctrinal research and empirical legal method.FindingsThis paper finds that interrelated legal, political and economic factors contribute to this failure, including conflicting regulations on the review and amendment of spatial plans, the pursuance of economic enrichment and an unsustainable approach to economic development. Although some or even all of these factors may have seemed obvious from the start, because they are common causes of regulatory failure, this paper demonstrates empirically that they are exacerbated and made more challenging because of the interrelationship between legal, political and economic factors.Research limitations/implicationsGiven the existence of intertwined legal, political and economic factors behind the regulatory failure of spatial planning, more studies need to be undertaken to restore spatial planning objectives as a means of preventing tourism projects in Bali from damaging the environment.Originality/valueThe author proposes a reform to make spatial planning regulations more effective, particularly in preventing environmental damage by tourism projects.

Russian Spatial Development Strategy: blind spots in regional specialisations

The state “Russian Spatial Development Strategy for the period up to 2025” has not only aroused interest in the scientific community, but has also been the object of criticism on the issues of consistency of the prospective economic specialisations of the constituent entities of the Russian Federation to spatial development objectives. To identify gaps in the content of this strategy, the article compares the economic specialisations of the constituent entities of the Russian Federation with the types of activities described in the “Russian Classification of Economic Activities (OKVED-2) 2021”. The data obtained were compared with the gross value added statistics of the Russian industry structure. The representation of high-tech and knowledge-intensive industries in promising regional economic specialisations was analysed. The results of the study extend the list of criticisms from the Russian scientific community regarding the indicated document. However, a review of foreign studies has shown that the difficulties of strategy development are also inherent in countries with strong planning traditions. An unambiguous conclusion is the need to create a new structure and content document, taking into account the trends in the world and society technological development.

Towards low-carbon cities: Patch-based multi-objective optimization of land use allocation using an improved non-dominated sorting genetic algorithm-II

The rational land use allocation is of great significance to the construction of low-carbon cities. The optimization model of land use allocation is an important tool that helps urban planners to quantitatively trade-off among the multi-objectives and achieve optimal land use schemes. For multi-objective optimization of low-carbon land use allocation, the models conducted by existing studies generally tend to be based on gridded data, lack of comprehensive consideration of quantitative and spatial objectives, and efficient algorithms to execute the optimization process. Therefore, this paper proposed a patch-based low carbon multi-objective land use allocation (LC-MLUA) optimization model involving both quantitative and spatial optimization targets. The LC-MLUA optimization model was solved with an improved non-dominated sorting genetic algorithm-II (NSGA-II), and the weighted-sum method was used to make the final selection under different preferences. The LC-MLUA optimization model was then applied to a case study of Changxing, a county-level city in east China, and there were three key results. (1) The LC-MLUA optimization model had a remarkable outperform of the land use allocation than the original land use plan, and the optimized values of economic benefit, emission reduction, and accessibility increased by 27.0%, 6.2% and 8.3%, respectively. (2) The LC-MLUA optimization model generated a series of optimal schemes to support suggestion-making for the low-carbon adjustment of the land use structure and spatial layout. (3) The LC-MLUA optimization model based on vector land patch data was proved more efficient as the unit number was reduced by 5 times than gridded data and better reflected the land use planning practice. (4) Compared with other algorithms, the improved NSGA-II had better performance in the number of solutions, target optimization rate, and comprehensive performance. Based on these results, it suggests that the patch-based LC-MLUA optimization model method can provide good technical support for low-carbon land use planning, and can be flexibly applied to other cities.

The new cold war and the rise of the 21st‐century infrastructure state

AbstractThe unipolar international order led by the USA has given way to a multipolar order with the emergence of China as a great power competitor. According to many commentators, the deterioration of Sino–US relations in recent years heralds a “new Cold War.” The new Cold War differs from its namesake in many respects, and in this paper we focus on its novel territorial logic. Containing the USSR was the overriding objective of American foreign policy for nearly four decades, but in contrast, the USA and China are engaged in geopolitical‐economic competition to integrate territory into value chains anchored by their domestic lead firms through the financing and construction of transnational infrastructure (e.g., transportation networks and regional energy grids). We show this competition poses risks as well as opportunities for small states to articulate and realise spatial objectives. We present cases from Nepal and Laos that demonstrate that by hedging between China and the USA and its partners, their governments are able to pursue spatial objectives. In order to achieve them, however, they must implement significant reforms or state restructuring. The result is the emergence of what we term the 21st‐century infrastructure state, which seeks to mobilise foreign capital for infrastructure projects designed to enhance transnational connectivity.

A benthic habitat sensitivity analysis of Qatar's coastal zone

Characterizing benthic habitat sensitivities of rapidly-developing countries is of paramount importance. Recent efforts defining the benthic habitat of Qatar's coastal zone with a high-resolution, ground-truthed benthic habitat map has provided a framework on which to develop a habitat sensitivity map. Here we present a sensitivity analysis catered towards identifying habitats with varying sensitivities to natural and anthropogenic stressors on a quantitative scale from 1 to 5, low to high. We have identified that the majority of the coastal area is low risk habitat (i.e. sandflats). However, there are six areas which are assigned as high risk by virtue of their rich occurrences of seagrass meadows, mangrove forests, and coral reefs - [1]. The reefs offshore of Al Zubarah on the west coast of the peninsula; [2] The Al Ruwais fringing reef on the northern tip of the peninsula; [3] The east-coast bays of Al Khor and Al Dhakira; [4] The shore-attached reef complex off Mesaieed (east coast); [5] The Jazirat al Bushayriyah offshore high; and, [6] The entire shelf of Halul Island. The sensitivity analysis presented here builds on a recently-developed benthic habitat map of Qatar's coastal zone and covers a total are of 4500km2. Results gleaned from this analysis can be used to support marine spatial planning objectives and ecosystem-based management decision making.

Knowledge-based inverse treatment planning for low-dose-rate prostate brachytherapy.

Permanent low-dose-rate brachytherapy is a widely used treatment modality for managing prostate cancer. In such interventions, treatment planning can be a challenging task and requires experience and skills of the planner. We developed a novel knowledge-based (KB) optimization method based on previous treatment plans. The purpose of this method was to generate clinically acceptable plans that do not require extensive manual adjustments in clinical scenarios. Objective functions used in current inverse planning methods are preferably based on spatial invariant dose objectives rather than spatial dose distributions. Therefore, they are prone to return suboptimal plans resulting in time consuming plan adjustments. To overcome this limitation, a KB approach is introduced. The KB model uses the dose distributions of previous clinical plans projected onto a standardized geometry. From those standardized distributions a template plan is generated. The treatment plans were optimized with an in-house developed planning system by solving a constraint inverse optimization problem that mimics the projected template dose plan constraint to DVH metrics. The method is benchmarked under an IRB-approved retrospective study by comparing optimization time, dosimetric performance, and clinical acceptability against current clinical practice. The quality of the KB model is evaluated with a Turing test. The KB model consists of five high-quality treatment plans. Those plans were selected by one of our experts and showed all desired dosimetric features. After generating the model treatment plans were created with one run of the optimizer for the remaining 20 patients. The optimization time including needle optimization ranged from 6 to 29s. Based on a Wilcoxon signed rank test the new plans are dosimetrically equivalent to current clinical practice. The Turing test showed that the proposed method generates plans that are equivalent to current clinical practice and that the dose prediction drives the optimization to achieve high-quality treatment plans. This study demonstrated that the proposed KB model was able to capture user-specific features in isodose lines which can be used to generate acceptable treatment plans with a single run of the optimization engine in under a minute. This could potentially reduce the time in the operating room and the time a patient is under anesthesia.

The spatial value of live music: Performing, (re)developing and narrating urban spaces

This paper examines the spatial value of live popular music by adopting an inter-disciplinary approach grounded in urban and music studies. What is understood of the relationship between live music and the built environment is improved, with a focus on how this cultural form contributes to performing, (re)developing and narrating urban spaces. The post-industrial city has become a stage for events that serve a wide range of social, cultural, economic and spatial objectives. However, the densification of the built environment has led to a debate about the extent to which live music’s positive outcomes outweigh the nuisance experienced by residents in terms of noise and the unavailability of public spaces. Furthermore, small venues in many cities are struggling with issues of gentrification, implying that the spatial value of music is part of wider concerns about who owns the city and which forms of culture can be produced and consumed in urban centres. Against this background, the paper asks the following questions concerning the spatial value of live music: how can it be defined? What are the challenges to achieving it? How can it be supported in urban planning? The study is grounded in a qualitative content analysis of 24 live music reports and strategies, as well as 10 in-depth interviews with policymakers, festival organisers and venue owners. Also discussed is how the spatial value of live music can be supported in urban policies by building interdisciplinary networks, establishing strategies, and creating and sustaining places for live music events.

Approaches to Multi-Objective Optimization and Assessment of Green Infrastructure and Their Multi-Functional Effectiveness: A Review

Green infrastructure (GI) is a contemporary area of research worldwide, with the implementation of the findings alleviating issues globally. As a supplement and alternative to gray infrastructure, GI has multiple integrated benefits. Multi-objective GI optimization seeks to provide maximum integrated benefits. The purpose of this review is to highlight the integrated multifunctional effectiveness of GI and to summarize its multi-objective optimization methodology. Here, the multifunctional effectiveness of GI in hydrology, energy, climate, environment, ecology, and humanities as well as their interrelationships are summarized. Then, the main components of GI multi-objective optimization including the spatial scale application, optimization objectives, decision variables, optimization methods and optimization procedure as well as their relationships and mathematical representation are examined. However, certain challenges still exist. There is no consensus on how to measure and optimize the integrated multi-functional effectiveness of GI. Future research directions such as enhancing integrated multi-objective assessment and optimization, improving life cycle analysis and life cycle cost, integrating benefits of GI based on future uncertainties and developing integrated green–gray infrastructure are discussed. This is vital for improving its integrated multifunctional effectiveness and the final decision-making of stakeholders.

Land use transition and rural spatial governance: Mechanism, framework and perspectives

The pattern for utilization of rural space is closely related to rural transformation development (RTD). The problem of rural space utilization is an important manifestation of the uncoordinated relationship between land use patterns and rural development status during a transformation period. Considering the rural space utilization issue, this article seeks to analyze the interaction mechanisms between land use transition (LUT) and rural spatial governance and then build a rural spatial governance analysis framework based on LUT. Also, the paper explores the internal relationship between rural spatial governance and rural vitalization and discusses the research prospective of the interaction. The study found that: (1) Rural space utilization has systemic problems such as limited development space, ill-defined ownership and poor organization, which have become important obstacles for rural development. (2) The uncoordinated relationship between LUT and RTD is an important reason for the dilemma surrounding rural space utilization. (3) The LUT provides a basis for determining the timing of rural spatial governance, specifying spatial governance objectives, and clarifying rural spatial governance methods. (4) The construction of a comprehensive analysis framework of “matter-ownership-organization” of rural space based on the LUT has created conditions for the orderly promotion of rural spatial governance. (5) Rural spatial governance which facilitates the integration of urban-rural development is an important foundation for rural vitalization. (6) Interaction analysis of LUT, RTD and rural spatial governance is conducive to facilitating research on the operational mechanism of rural regional systems and to expanding the research field of rural geography.