Territorial Planning Research Articles

Afforestation of a floodplain system in Paraguay with eucalyptus: Effects on soil properties and nutrient stocks

The gramineous species Andropogon lateralis and Paspalum notatum dominate lowland habitats in Paraguay. These habitats include wetlands and aquifers that provide essential ecosystem services, such as soil C storage, biodiversity, water flow regulation and water quality. Large areas of these valuable natural ecosystems have been transformed into intensive agricultural systems, including sugarcane and eucalyptus plantations. The transformation potentially affects water flow and lake and stream recharge and threatens the native biodiversity of the ecoregion. The soils in these zones are characterised by high C stocks, high acidity, nutrient limitation (low cation exchange capacity and base saturation) and a sandy texture, and they may be sensitive to perturbations. This study aimed to assess the impact of eucalyptus plantations on soil properties and nutrient and C stocks in afforested lowland regions in a subtropical area and to generate information relevant to sustainable management. For this purpose, 62 eucalyptus plantations of ages between 2 and 10 years and 8 native grassland plots were selected for study. The experimental design enabled us to estimate the amounts of nutrients extracted throughout the plantation rotation and to evaluate the impacts on soil properties (at 0–40 cm depth) and on soil carbon and nutrient stocks. The eucalyptus biomass production amounted to 215 Mg ha−1 after 10 years. The significant loss of soil C, which had decreased to 40 % after a decade, was attributed to the initial soil preparation, intensive drainage and the lower input of organic remains than in the natural grasslands. The significant decreases in soil nutrient stocks (N, P, Ca, Mg, and K), reaching between 50 % and 60 % throughout the rotation, were attributed to uptake of these elements by the trees. The bulk density increased by up to 1.3 g cm−3. The data suggest that establishing eucalyptus plantations in these lowland habitats leads to soil degradation and may reduce the environmental services supplied by the ecosystems. Local authorities must develop and implement territorial land plans and silvicultural practices in order to prevent degradation of these critical ecosystems.

Development of green infrastructure during the COVID-19 pandemic using spatial analysis methods

In Latin America, there is a lack of green infrastructure (GI) to enhance urban resilience and reduce the contagion levels, particularly in times of pandemic. Therefore, a simplified method is needed to define GI in critical public health risk scenarios, especially when access to geospatial information is limited. The objective of this study is to propose a simplified method called GreenNet-Covid19 in Peru during critical public health scenarios using spatial analysis methods to define the global GI index (GGII) and select the potential integration areas for GI (PIAGI). This method is based on the approach proposed by Aguileraet al. (2018), which utilized spatial analysis in Metropolitan Arequipa and its surroundings during the COVID-19 pandemic. In this study, in addition to the four dimensions proposed Aguilera et al. (2018), a fifth dimension called ‘risk due to COVID-19’ was introduced, allowing to obtain the GGII and define the PIAGI. The GGII showed high ecological and biodiversity potentials at the vegetation cover level. However, the loss of GGII connectivity in urban areas posed a threat to the intricate connectivity of the highlands, thus increasing the risk of COVID-19 spread. Meanwhile, the PIAGI exhibited relatively low values compared with those of the GGII. Yet, the loss of PIAGI connectivity in urban areas strengthened the factors contributing to COVID-19 propagation. The intersection between the COVID-19 and PIAGI risk layers at the ‘very high,’ ‘high,’ and ‘medium’ levels demonstrated a high capability for reducing the contagion risk in future pandemics. The introduction and implementation of this method in territorial planning is facilitated by its applicability to any Latin American territory.

Territorial planning support tool for sustainable forest management in the Amazon

In forest management, it is crucial to ensure process efficiency to maintain economic viability, especially in native forests where timber volume varies due to the uneven distribution of commercially valuable species. This variability poses a challenge for harvest planning, as the inherent heterogeneity of these forests often results in inconsistent productivity. This study employs the SOTER-PA system, an algorithm-based tool utilizing a minimalist tabu search, to achieve a more homogeneous territorial planning structure for better utilization of natural resources and increased economic returns from forestry activities. The study area is the Tapajós National Forest in the state of Pará, with a forest inventory database covering 2,218.7 hectares and 28,369 trees across 93 species. After applying exclusion criteria and data processing, 8,644 trees were deemed suitable for harvest. The tests suggested a new organization of Work Units, enabling a more balanced income distribution among them, and delineating the areas to be exploited in each cutting cycle. The results show that SOTER-PA not only improves the equitable distribution of natural resources but also enhances economic productivity. This improvement is attributed to the more homogeneous and optimized distribution of high-value species like red cedar and purpleheart. Furthermore, when comparing the SOTER-PA generated parcels with conventional management, the parcels created by SOTER-PA were more homogeneous, with better productivity quality and lower standard deviation, indicating greater uniformity. Thus, the use of SOTER-PA proves to be an efficient alternative for optimizing sustainable forest management planning, offering a more effective method for sustainable territorial planning in native forests, providing both economic and environmental benefits.

Research on the Geographical Pattern, Evolution Model, and Driving Mechanism of Carbon Emission Density from Urban Industrial Land in the Yangtze River Economic Belt of China

To achieve the goals of “carbon peaking and carbon neutrality”, this paper puts forward the connotation and measurement method for the carbon emission intensity of urban industrial land and conducts an empirical study with the Yangtze River Economic Belt (YREB) as an example. We defined the carbon intensity of urban industrial land as the industrial carbon emissions per unit area of land, which is a spatial mapping of urban industrial economic development and carbon spillover and a key indicator for urban and territorial spatial planning oriented towards the “dual carbon” goal. Findings: The carbon emission density of industrial land in the YREB varied greatly between cities and exhibited significant positive spatial autocorrelation. In addition, the geographical pattern and spatio-temporal evolution model of the urban industrial land carbon emission density had a very complex driving mechanism, and different factors had significant synergistic effects. Therefore, it is suggested that while striving towards the goal of “dual carbon”, the government should incorporate the carbon emission density indicator of urban industrial land into the urban and territorial spatial planning system, and based on the threshold of the medium suitable density, they should design differentiated management policies according to concrete urban policies and encourage cooperation among cities to jointly promote carbon emission management of urban industrial land. In policy design, emphasis should also be placed on highlighting the interactive effects of foreign direct investment, fiscal expenditure, and the number of patent authorizations as well as constructing a combination of policies centered around them to better leverage the impacts of globalization, government intervention, and innovation.

Integrating “quality-risk-demand” framework and circuit theory to identify spatial range and priority area of ecological security pattern in a rapidly urbanizing landscape

Regional ecological security pattern (ESP) can provide the basis for regional territorial spatial planning and urban ecological protection. Taking the Wuhan metropolitan area as the study area, a binary logistic regression model was used to quantify the evolutionary driving forces and transformation risk of ecological land. An identification framework of ecological source based on “quality-risk-demand” was constructed to identify ecological source by calculating the ecological land comprehensive value from three aspects of ecological land quality, degradation risk, and human demand. The ecological resistance surface was calculated according to land-use type and nighttime light data, further using circuit theory to identify the spatial range and its key areas of ecological corridors, and to identify the specific spatial range of ESP and their priority area. The results showed ecological sources were 382.4 km2, accounting for 17.3% of the metropolitan area. The area of ecological corridors in the terrestrial ecosystem (TEC) was 14.38 km2, with an average width of 77.8 m, including 4.99 km2 of pinch points and 3.71 km2 of barriers, indicating poor actual connectivity of the TEC. Ecological corridors in the aquatic ecosystem (AEC) were 107.67 km long, including 57.86 km of pinch points and 14.24 km of barriers, indicating poor substitutability of the AEC. Overall, the ESP of “three horizontals, three verticals, and four clusters” were identified, where sources, pinch points and barriers were the priority areas for protection and restoration in constructing it. Existing protection spaces were within the ecological source range, and the identification results of the ecological corridor were highly consistent with the actual situation, verifying the ecological significance of the identification framework. This study focuses on the needs of urban residents, combining the intrinsic quality and extrinsic risks of urban ecological land, proposes an integrated framework for identifying urban ecological sources, identifies the spatial range of ecological corridors and their key areas based on circuit theory, and attempts to provide a quantitative framework and case reference for ESP construction in other urban areas.

APPLICATION OF LASER SCANNING DATA IN SOLVING TERRITORIAL PLANNING PROBLEMS

The article aims to thoroughly investigate and analyse the possibilities of using laser scanning data in spatial planning. The main goal is to identify the potential of this technology to improve the efficiency and accuracy of planning processes, particularly in the urban environment. The LiDAR (Light Detection and Ranging) data integration into territorial planning is fundamental to modern urban management frameworks. Using the precise and comprehensive geospatial data obtained through LiDAR scanning provides a reliable basis for conducting in-depth analysis and strategic decision-making in territorial development initiatives. LiDAR technology offers unparalleled accuracy and detail, enabling urban planners to effectively map and visualise various aspects of urban environments, including topography, land use patterns, infrastructure, and natural features. With this extensive information, stakeholders can gain valuable insights into existing spatial dynamics, identify potential areas for development or conservation, and assess the impact of proposed projects on the surrounding landscape. Moreover, integrating LiDAR data facilitates the optimisation of urban resource management processes. City authorities can streamline land use planning, infrastructure development, and environmental management efforts by accurately delineating land plots and infrastructure networks. In turn, it promotes more efficient allocation of resources, minimises operational costs, and enhances overall urban sustainability. Furthermore, LiDAR technology is crucial in enhancing urban resilience and adaptability. Generating high-resolution elevation models and floodplain maps allows urban planners to identify areas prone to natural hazards such as floods, landslides, or coastal erosion. With this knowledge, city planners can implement proactive measures to mitigate risks, improve disaster preparedness, and safeguard community well-being. In contemporary urban challenges, such as climate change and rapid urbanisation, LiDAR technology is becoming increasingly indispensable. By embracing LiDAR technology, urban planners can develop more resilient and sustainable cities better equipped to withstand and adapt to evolving environmental, social, and economic pressures. In essence, the effective utilisation of LiDAR data in territorial planning enhances spatial planning accuracy and fosters innovation, resilience, and sustainability within urban environments. By harnessing the power of LiDAR technology, cities can pave the way toward a more prosperous, equitable, and resilient future for generations to come. Keywords: data, laser scanning, territorial planning, potential, accuracy, efficiency, analysis, prospects.

Research on Territorial Spatial Development Non-Equilibrium and Temporal–Spatial Patterns from a Conjugate Perspective: Evidence from Chinese Provincial Panel Data

Clarifying the intrinsic nature and formation mechanisms of the territorial spatial development non-equilibrium, optimizing the allocation of territorial resources, promoting regional balanced development, and alleviating regional development disparities have become common endeavors of all countries seeking to enhance development quality. This study, based on the land use and socio-economic data of 31 provinces and cities in China from 2006 to 2020, utilized the kernel density estimation method and ArcGIS spatial analysis to explore the spatiotemporal evolution characteristics of China’s territorial spatial development non-equilibrium. The research findings are as follows: (1) From 2006 to 2020, both the land development intensity and land supply capacity showed an increasing trend, with increases of 21.4% and 8.03%, respectively. However, their spatiotemporal evolutions significantly differed. (2) The state of the territorial spatial development non-equilibrium in China significantly improved, with a rising trend in the territorial spatial equilibrium degree. Regional disparities in the territorial spatial equilibrium degree decreased. The number of provinces and cities in a state of underdevelopment decreased from 23 to 8, while the number in an equilibrium state increased from 7 to 21. The central and western regions showed more significant improvements in the territorial spatial equilibrium degree and a greater reduction in regional disparity when compared to the eastern and northeastern regions. (3) China exhibited distinct regional disparities in the territorial spatial equilibrium degree. The overdeveloped areas were Beijing and Shanghai. The underdeveloped regions were primarily concentrated in western areas, including Sichuan, Yunnan, and Xinjiang. The high-level equilibrium regions were predominantly located in the southeastern coastal provinces and the central plains region, while the low-level equilibrium regions included Inner Mongolia, Ningxia, Qinghai, and the three northeastern provinces. (4) From the perspective of the number of agglomeration types, the order is HH (high–high) > LH (low–high) > LL (low–low) > HL (high–low), and China’s TSED exhibits a spatial proximity peer effect. The innovation of this study consists of the following aspects: (1) The clarification of the fact that the essence of equilibrium does not require an exact 1:1 match, as with “two horses”; rather, it entails the maintenance of a slight surplus of land supply capacity over land development intensity. This approach allows the possibility of future sustainable development by leaving room for expansion. (2) The differentiation between high-intensity conjugation (in terms of both quantity and quality) and low-intensity conjugation (quantity only) from a conjugate perspective. This categorization aids in a more comprehensive and in-depth understanding of the territorial spatial development non-equilibrium and its spatiotemporal patterns. It provides crucial information for the formulation of sustainable national territorial development plans and the promotion of a regional development equilibrium.

Strategy for the development of a system of green areas of large industrial cities, using the example of the city of Volzhsky

This study examines the structure of the system of green areas (GA) of the city of Volzhsky, their relationship with the main functional zones and factors influencing the stability of this system. In the course of the study, it was revealed that the anthropogenic impact on the GA of the city of Volzhsky includes sources of pollution associated with the transport system and the industrial complex. The analysis of the system of GA showed an uneven distribution of such territories in the city, which, in turn, leads to the absence of recreational areas in the new part, which is a consequence of a decrease in the quality of the urban environment. The strategic direction of the territorial planning of the development of the city of Volzhsky should be to improve the quality of the urban environment by changing the stability of the system of GA in the old part of the city, where it is proposed to increase the area of landscaping along streets and on intra-block territories, as well as include disturbed landscapes in the system of GA. Within the framework of the general concept of the development of a system of GA, it is proposed to create pedestrian zones by developing green corridors that will connect the elements of the green framework of the city. In the old part of the city, the main corridor will be landscaping along the road transport network, as well as the main longitudinal rods of landscaping, in particular Gorky Street. At the same time, in the new part of the city, it is proposed to increase the area of limited-use landscaping and the development of environmental protection landscaping strips, which will allow the formation of a system of boulevards.

Practicing Multilevel Governance: The Revision of the Piedmont Regional Territorial Plan

The regional level plays a relevant role in spatial governance and planning in Europe, as it constitutes the most suitable scale to both program European Union funding and territorialize international development strategies. In this light, regional spatial planning instruments play a crucial role in translating general objectives and recommendations (e.g., those included in the UN 2030 Agenda for Sustainable Development) in place-based implementation practices. This contribution reflects upon the implementation of a methodology aimed at engaging a multidisciplinary team of students in the revision of the Piedmont regional territorial plan (PTR), developed in close cooperation with the regional public administration. This problem-based learning activity supported the integration of supranational strategic objectives and funding streams with the regional territorial development priorities. In so doing, it represents a possible way to practice multilevel governance in concrete terms, employing the PTR as a meaningful catalyst.

Evaluating School Location Based on a Territorial Spatial Planning Knowledge Graph

The reasonable spatial planning of primary and secondary schools is an important factor in education development. In spatial planning, there are many models for the locations of primary and secondary schools; however, few quantitative evaluation models are available. Therefore, based on the many factors affecting the layout planning of primary and secondary schools, a knowledge graph of territorial spatial planning that considers the topological relationship, direction relationship and metric relationship in spatial planning is designed and constructed. A school location evaluation model based on the knowledge graph of territorial spatial planning is proposed. The model combines many factors of the locations of schools, such as the service population, the impact of factories on schools, the adjacency and centrality of school plots, terrain and existing schools in the region, to quantitatively evaluate whether schools are reasonably located within a region. This study focuses on the Guangyang Island area in Chongqing, China, exploring the superiority and rationality of the planned land use for primary and secondary schools within the region. By analyzing the top three and bottom three ranked schools in conjunction with the actual conditions of the site, and comparing them with AHP hierarchical analysis and ArcGIS modelling research, the study concludes that the results of this model are highly reasonable within the scope of China’s territorial spatial planning.

Dynamic evolution and trend prediction in coupling coordination between urban and rural space utilization efficiency based local and tele-coupling model

Optimizing the pattern of territorial space utilization is one of the key tasks to achieve the sustainable development goals. With the accelerating rate of global urbanization, the understanding of territorial space utilization efficiency, role and potential is a prerequisite for alleviating contradictions in urban and rural space distribution. The city cluster is the main form of organization for urban development in future, so the study attempted to explore the urban and rural space utilization efficiency (URSUE) in Chengdu-Chongqing urban agglomeration (CCEC) from coupling coordination degree (CCD) perspective. Considering the gradual increase in the trend of remote interactions between URSUE, we further introduced the Local and Tele-coupling coordination (LTCCD) model that takes into account interactive development relationship between different systems. The results of the study show that: In CCEC, the more economically developed cities indicated that urban spatial utilization efficiency lags behind rural spatial utilization efficiency; The LTCCD in the geographic center region will indicate a higher level but the LTCCD in the economic core cities is higher compared with their CCD level, especially in Chengdu City. This suggests that the LTCCD model is better able to take into account regional development correlations and spatial spillovers effect. This study attempts to explore several key issues of urban-rural spatial allocation in the process of urbanization development and to provide guidance for the territorial space utilization planning in urban agglomerations.

Digital technologies for the development of sustainable tourism in mountain areas

The promotion of sustainable tourism models in mountain areas represents a critical success factor for the territory and the environment. In political and economic literature there has been much debate in the attempt to interpret the phenomenon of growth and development with the changing socio-economic environment. Today the topic remains at the center of the debate of many economic policy authorities due to the exodus phenomena occurring in internal areas. In this study, we examined how the resources of mountain areas can create income opportunities as a function of the diffusion of sustainable income. On the one hand, in mountain environments, we have natural resources that represent common goods that must be maintained precisely according to the opportunities they create for sustainable tourism where they represent its essential feature. The complexity of the economic phenomena, which on the one hand leads to an exodus from these environments, determines the need to create new management structures, that can satisfy the needs of the local community and guarantee appropriate management of natural resources. In this study, we analyzed the relationships between sustainable tourism models and natural resource management considering the case of the Ficuzza Forest and applying new digital technologies such as mobile apps that allow you to make hotel reservations, read reviews about the best restaurant in the area, and buy museum tickets to avoid the queue. Starting from the theoretical framework, and subsequently analyzing the empirical case, we highlighted the utility flows that descend from the Bosco. The resulting results have considerable relevance for the planning of mountain territories. The study highlights that the interconnection between public and private management models can guarantee the growth and development of mountain territories.

Instruments for Territorial Planning and Management: Subsidy to the Zoning of the Environmental Protection Area of Cariri – Paraíba

O Sistema Nacional de Unidades de Conservação (SNUC) foi um avanço na lei que cria as Unidades de Conservação (UC) no Brasil. No entanto, muitas das UCs são criadas e não possuem planos de manejo e zoneamento, instrumentos de gestão imprescindíveis para sua efetivação. A Área de Proteção Ambiental (APA) do Cariri, localizado no Estado da Paraíba, é um dos exemplos de UCs que foram criadas, mas não avançaram com relação à efetivação. O objetivo do artigo é propor um zoneamento da APA do Cariri com base em duas metodologias usadas em escala nacional – IBAMA (2001) – e estadual – SUDEMA (2017). Para o mapeamento do zoneamento foi utilizada a imagem de alta resolução adquirida pelos satélites WorldView-2 e 3 com resolução espacial de 70 cm. A maior área da APA deve ser destinada à Zona de Conservação em que são permitidos usos moderados e sustentáveis dos recursos naturais. Em seguida ocorrem as Zonas de Proteção e de Manejo.

Spatiotemporal dynamics of urban sprawl in China from 2000 to 2020

ABSTRACT Accurately and timely quantifying the dynamics of urban sprawl is essential for improving land use efficiency and land use planning. However, existing research mainly focused on the sprawl of a single city or urban agglomerations in China, while national scale studies mainly used short-term remote sensing data to quantify urban sprawl. Therefore, we still lack a long term and most up-to-date understanding of urban sprawl in China, especially in different regions, cities of different sizes. Here, we quantified the spatiotemporal dynamics of urban sprawl using urban sprawl index (USI) based on the latest population census, and analyzed its driving force in China during 2000 ~ 2020 using the optimal parameters-based geographical detector. The results showed that in the past two decades, Chinese cities were still experiencing urban sprawl, with an average USI of 3.04, indicating that the average annual growth rate of urban lands was 3.04% higher than that of the urban population. Overall, the sprawl showed a slowdown, with the USI dropping from 3.55 in 2000 ~ 2010 to 2.53 in 2010 ~ 2020. Among regions, urban sprawl was more severe in the western region, where the USI was 5.33 during 2000 ~ 2020 and 89.3% of the cities exceeded the national average sprawl speed. Recently, the driving force of transportation on urban sprawl substantially increased. In the future, the Territorial Spatial Planning should pay attention to confining excessive sprawl of small- and medium-sized cities in the western region of China.

Research of multimodal transport potential of major cities in China based on the satellite remote sensing

Abstract. By two or more modes of transportation to connect with each other and complete the transport process, multimodal transport could significantly improve transport efficiency, reduce costs, while promote energy conservation and emission reduction, compared with the traditional single mode of transport. Therefore, the multimodal transport development reflects the level of national or regional economic development to some extent. In this study, multimodal transport potential index was built to evaluate the possibility of multimodal transport. Remote sensing images from satellites were used to extract roads, railway stations and airports. A method was proposed to derive the road-rail transport potential index and road-air transport potential index, and then for the analysis of multimodal transport potential in 36 cities. Results show that there is a big gap among 36 cities on the development potential of road-rail and road-air transport. Compared with the road-rail transport potential index, the distribution of road-air transport potential index is more consistent among and within the seven regions. Index values of megacity and super cities are much higher than type I and II big cities. Moreover, in the 36 cities, there is a positive correlation between the multimodal transport potential index and GDP. The research results could be used to quantitatively evaluate the development of transport infrastructure, consequently provide more solid and reliable basic information for the planning, design and scheme adjustment of multimodal transport, thus comprehensively improve the efficiency and quality of multimodal transport, serve the territorial spatial planning.

Landscape Analysis and Coastal Planning: Ría de Arosa (Pontevedra, Spain)

Coastal areas are fundamental enclaves for economic and recreational development, attracting a large population worldwide. However, these factors have generated significant pressure on the coastal landscape, requiring territorial management strategies to protect and control its degradation. The coastal landscape, composed of abiotic and biotic elements, plays a crucial role in human wellbeing and the conservation of the natural environment. This study focuses on the southeast area of the Ría de Arosa, on the western coast of Galicia, known for its unique geomorphological features such as estuaries. The main objective is to generate high-resolution thematic maps for territorial planning and conservation of the natural and cultural landscape. Using methodologies based on geographic information systems, various factors of the natural environment will be analyzed to obtain objective results, presenting cartography of landscape units, along with quality and fragility landscape maps. In addition, active strategies are proposed such as multiple land uses or the development of geotourism to preserve, exploit, and manage the landscape better. This work contributes to better understanding the vulnerability of the coastal landscape and provides practical tools for its sustainable management in a context of accelerated global change.

The Integration of Dual Evaluation and Minimum Spanning Tree Clustering to Support Decision-Making in Territorial Spatial Planning

Spatial planning, a policy instrument for creating sustainable environments that meet the needs of the current and future generations, has been implemented extensively worldwide. However, it is difficult for urban planners to thoroughly determine the spatial value of a territory and make informed decisions regarding the efficient utilization of regional resources in the real world. This study proposes a novel methodological framework for spatial pattern optimization that can guide future land use by integrating Minimum Spanning Tree (MST) clustering with a comprehensive evaluation system (dual evaluation). Furthermore, the validity of this framework is demonstrated through a case study of territorial spatial planning in Deyang, China. The findings indicate that (1) the methodological framework presented in this study offers valuable guidance for the spatial arrangement of territorial resources, especially in practical projects; and (2) the combination of dual evaluation and MST clustering can facilitate automatic regionalization to identify spatial clusters exhibiting functional similarity in terms of land use. By focusing on methodological advancements, this study concludes that the integration of dual evaluation (DE) and MST clustering not only simplifies the identification of optimal land-use patterns but also promotes a more systematic and efficient approach to support spatial planning.

Integrated Approach of Historical Landscape Characterisation Techniques and Remote Sensing for the Definition of Predictive Models and Scenario Analysis in the Planning of Archaeological Areas

This study explores the synergistic integration of remote sensing (RS) and Historical Landscape Characterisation (HLC) methodology as an innovative, multi-scalar and holistic approach to enhance archaeological planning. The goal is to maximize the effectiveness of the investigations, optimizing data collection and improving the contextual understanding of the sites. In fact, these methodologies can significantly contribute to the documentation, conservation, planning and valorisation of archaeological areas. By integrating RS data with features detected by HLC, a complete picture is obtained that facilitates a deeper understanding of the landscape and historical dynamics. This article will explain the combined approach of RS and HLC, presenting some methodologies key to improving the precision and effectiveness of archaeological planning. This integration facilitates the sustainable preservation of archaeological resources and contributes to the conscious management of cultural heritage in the context of contemporary development. The paper demonstrates, through a case study, how the application of the two methodologies (RS and HLC) in an integrated form can provide an exhaustive interpretation of the territory in which the archaeological area is located, which can represent an exhaustive knowledge base on which to set up effective processes for the strategic territorial planning of archaeological areas.

Evolution Model and Driving Mechanism of Urban Logistics Land: Evidence from the Yangtze River Delta

Logistics land is the spatial carrier for the development of logistics enterprises. Its evolution mode and driving mechanism determine the level of high-quality development of the logistics industry, and serve as an important basis for urban planning and territorial spatial planning. This study introduced a Boston consulting group (BCG) matrix and geographically weighted regression (GWR) spatial econometric models to carry out empirical research on the Yangtze River Delta (YRD), in an effort to provide scientific information for evidence-based decision-making by governments and enterprises. The scale and ratio of logistics land (LLS and LLR) in the YRD showed significant spatial heterogeneity and autocorrelation, cities with large logistics land use converging from clusters to belts from 2000 to 2020, and agglomerations with high logistics land ratio (LLR) migrating from inland to coastal areas. Diversified models of logistics land evolution also emerged, such as high scale–high speed cities, low scale–low speed cities, high scale–low speed cities, and low scale–high speed cities. In addition, the driving mechanism of LLS and LLR was very complex, with a great difference in the intensity, nature and spatial effects of the influence of different factors. The inspiration from empirical case studies is urgent to revise the planning norms and clarify the LLS and LLR control standards for logistics land use. Meanwhile, the synergistic development target of the logistics industry in the new era is changing from the manufacturing industry to the commerce and trade industry; the establishment of planning zoning and the designing of differentiated management policies significantly improve the planning applicability.

The suitability assessment for land territorial spatial planning based on ANN-CA model and the Internet of Things

This work aims to utilize Internet of Things (IoT) technology and the Artificial Neural Network - Cellular Automaton (ANN-CA) model to analyze the construction of indicators for territorial spatial planning and urban development suitability assessment. Firstly, the IoT technology is introduced, and its application potential in land planning is explored. Using the IoT technology, various data related to land use are collected, and these data are transmitted and summarized through IoT equipment to form a data base. Based on the collected data, the ANN-CA model and the “dual assessment” concept are employed to establish an indicator system for urban development suitability assessment, encompassing permanent basic farmland, ecological redlines, and current built-up areas. Through the combination of these two models, the future land use situation can be predicted more accurately. The trained model is evaluated, including simulation accuracy, error analysis, Kappa coefficient and other indicators. Compared with the actual data, the accuracy and credibility of the model are verified. Finally, according to the prediction results of the model, the land use situation is analyzed and interpreted to provide decision support for urban planning and development. The research results show that the combination of IoT technology and ANN-CA model can effectively analyze the evolution law of land use and the suitability of urban development. Through the reasonable setting and processing of model parameters and data, people can get high accuracy land use prediction results, which provides important reference and support for urban planning and sustainable development. The suitability for urban development within County M exhibits noticeable spatial disparities, with the central region being more suitable for development while the peripheral regions are relatively less favorable. This work provides valuable guidance for decision-makers and researchers in the field of territorial planning, and promotes orderly urban development and sustainable prosperity.