Spatial Planning Research Articles

Exploring the equitable spatial planning on the accessibility of institutional elderly care in megacity: a study based on Chengdu, China

Exploring the equitable spatial planning on the accessibility of institutional elderly care in megacity: a study based on Chengdu, China

Spatiotemporal characteristics of non-seismically fatal landslides in Northwest China: A case study from Shaanxi province

Landslides are one of the devastating geo-hazards that result in severe casualties in Northwest China (NW China) every year. However, a comprehensive landslide database is yet to be available for quantitatively assessing the distribution of fatal landslides in NW China. To investigate the spatiotemporal characteristics of non-seismically fatal landslides in NW China, we carried out a study using fatal landslides that occurred in Shaanxi province as an example to construct a new database by incorporating data of fatal landslides that occurred in the period between 1996 and 2018. A total of 332 non-seismically fatal landslides that claimed 1132 lives were compiled in this database. Additionally, a thorough study of spatial and temporal variations of fatal landslides reveals that anthropogenic landslides occur approximately evenly throughout the year. Natural fatal landslides, however, rise noticeably in July, August, and September. The spatial distribution analysis showed that fatal landslides in Shaanxi province of China were mainly distributed in the An’ kang, Yan’an, and Shangluo regions. Additionally, areas with relatively high relief (46.1 to 123 m), steep–slope topography (19.2 to 26.1°), and intense precipitation (465 to 937 mm) are more vulnerable to naturally-triggered landslides. The spatiotemporal analysis of the fatal landslides revealed increasing trends in zones such as Yan’an and Yulin cities (in northern part), and in An’kang city (in southern part). When combined with other information, the Fatal Landslide Database of Shaanxi Province can be used to provide a guide for risk assessment and spatial planning studies to mitigate geo-hazard risks.

Stability and reliability of regional cumulative impact mapping: A Canadian Pacific case study

Cumulative impact mapping is a commonly applied spatial representation of the impacts of human activities on the ocean. This spatial model has been applied at varying scales around the world, in part due to its ability to visually communicate complicated information in a simple way. The application of the model to decision-making processes requires an understanding of the reliability and stability of its outputs. This paper represents both an updated regional application in Pacific Canada and an evaluation of the tool over two iterations, 2015 and 2023. The regional application utilised higher model resolution and new and improved data inputs including 38 habitats and 46 activities across five sectors. High impact hotspots were found around major population centres and ports, as well as in fishing and shipping areas along the continental shelf. Commercial fishing, shipping, and climate change (sea surface temperature change) remained the major drivers of cumulative impacts in the region, and cumulative impacts per unit area continued to be highest in kelp and seagrass. Results suggest evidence of decreased impacts where improved protection for sponge reefs were implemented but show an overall increase in cumulative impacts for the region. Results showed consistency and reliability in the location of cumulative impact hotspots. Refinements in data quality and resolution of spatial data inputs contributed towards increasing the spatial precision of hot spot areas identified. Confidence in the cumulative impact mapping outputs and applications for marine spatial planning, marine protected area designation and management, research, and decision support are discussed.

Marine spatial planning techniques with a case study on wave-powered offshore aquaculture farms

As emerging marine technologies lead to the development of new infrastructure across the ocean, they enter an environment that existing ecosystems and industries already rely on. Although necessary to provide sustainable sources of energy and food, careful planning will be important to make informed decisions and avoid conflicts. This paper examines several techniques used for marine spatial planning, an approach for analyzing and planning the use of marine resources. Using open-source software including QGIS and Python, the potential for developing offshore aquaculture farms powered by a reference model wave energy converter from the Sandia National Labs, the RM3, along the Northeast coast of the United States is assessed and several feasible sites are identified. The optimal site, located at 43.7°N 68.9°W along the coast of Maine, has a total cost for a 5-pen farm of $56.8M, annual fish yield of 676 tonnes, and a levelized cost of fish of $9.23 per kilogram. Overall trends indicate that the cost greatly decreases with distance to shore due to the greater availability of wave energy and that conflicts and environmental constraints significantly limit the number of feasible sites in this region.

Forging ahead: Climate-smart maritime spatial planning for the future

Forging ahead: Climate-smart maritime spatial planning for the future

Spatiotemporal changes and management measure to enhance ecosystem services in the Mongolian Plateau

The eco-environment in many underdeveloped areas is vulnerable. Elucidating the changes and relationships in ecosystem services (ESs) is a fundamental basis for achieving sustainable development in these regions. Utilizing multiple data sources and models, we quantified water provision (WP), habitat quality (HQ), carbon fixation (CF), soil conservation (SC), and wind erosion prevention (WEP) on the Mongolian plateau during 1992-2018. We then analyzed the spatial-temporal changes, trade-offs/synergies, and bundles relationship of these ESs. The results indicated there was high spatial variability in five ESs across the plateau, with overall higher ESs in forested areas, and grassland and cropland areas had higher WEP values. The annual mean values of WP, HQ, CF, SC, and WEP in the plateau during 1992-2018 were 27.15 mm, 0.57, 176.17 gC·m2, 48.83 t·hm2, and 58.31 t·hm2, respectively. Due to fluctuations in precipitation, vegetation cover and land use, the five ESs decreased from 1992 to 2000s, but increased from 2000s to 2018, Notably, the HQ changed most significantly (p<0.01), while the WP changed insignificantly (p>0.05). The different ESs on the plateau overall exhibited synergistic effects, trade-offs between several pairs of ESs related to HQ, were observed in cropland areas. We further identified five distinct categories of ES bundles and proposed targeted recommendations for spatial planning and management of these ESs, tailored to their characteristics. The findings offer a valuable reference for high-quality environmental management, as well as the restoration and enhancement of ESs in arid inland areas in a warming climate.

Ro2En: Robust Neural Environment Encoder for Domain Generalization of Fast Motion Planning

This paper discusses a new issue named domain generalization of fast motion planning in 3D environments, which benefits agility-required robot applications such as autonomous driving and uncrewed aerial vehicle obstacle avoidance flight. The existing work shows that conventional spatial search-based planning algorithms cannot meet the real-time requirement due to high time costs. The end-to-end neural network-based methods achieve an excellent balance between performance and planning speed in the seen environments, but are hard to transfer to new scenarios. To overcome this limitation, we propose a novel Robust Environment Encoder (Ro2En) approach to domain generalization of fast motion planning. Specifically, by demonstrating the reconstructed environment, we find that the previous environment encoder cannot encode the volume information properly, i.e., a volume collapse ensues, which leads to noisy environment modeling. Inspired by this observation, a dual-task auto-encoder is developed. It can not only reconstruct the point cloud of the obstacles, but also align their geometric centers. Experiment results showed that in the new scenarios, Ro2En outperformed previous state-of-the-art conventional and neural alternatives with a much smaller performance variation.

A comprehensive framework to assess multi‐species landscape connectivity

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

Sistem Informasi Geografis Pengukuran Bidang Tanah Menggunakan Metode Haversine Formula Pada Dinas Pertanahan Kabupaten Aceh Besar Berbasis Web

The Aceh Besar District Land Agency is a government agency that has the task of administering affairs in the agrarian or land and spatial planning sector in government to assist the president in administering state government. The Department of Land Affairs manages state property, namely land. Management is done by means of measurement. Measurements are usually done manually. This requires quite a long time because you have to take measurements by spreading a tape measure according to the plot of land and requiring more than one person to measure it. In this study, the calculation of land area uses the haversine formula method, the haversine formula is a method for determining the distance between two points by taking into account that the earth is not a flat plane but is a plane that has a degree of curvature. The haversine formula method calculates the distance between 2 points based on the length of the straight line between the 2 points on longitude and latitude. The system is designed web-based so that the results of a GIS-based application are obtained to be able to map and carry out land surveying measurements on digital images.

Integrated Climate Change Mitigation and Public Health Protection Strategies: The Case of the City of Bologna, Italy

Introduction: The ongoing process of global warming, driven by the escalating concentration of greenhouse gases generated by human activities, especially in urban areas, significantly impacts public health. Local authorities play an important role in health promotion and disease prevention, and some aim to achieve net-zero greenhouse gas emissions. There is a consistent action underway to reach this goal, hence the need for mapping and implementing effective strategies and regulations. Materials and Methods: This study includes the analysis of policy guidelines adopted by the city of Bologna, consulted in March and April 2024. Bologna is one of the 100 cities committed to achieving climate neutrality by 2030, 20 years ahead of the EU target. To identify the strategies adopted to mitigate climate change, the following methodology was used: (i) the systematic mapping of sources and spatial planning documents; (ii) the extrapolation of goals, measures, and target indicators; and (iii) the development of an overall matrix. Results: The main findings of the study and their connection to public health pertain to the identification of key macro-areas contributing to the reduction of greenhouse gas emissions, while reducing the impact of climate change on health: (1) built environment and renewable energy sources, (2) transport and mobility, (3) energy, (4) green areas and land use, and (5) citizen support. Within these five macro-areas, 14 goals have been identified, to which a total of 36 measures correspond, and, finally, a target indicator is determined, mainly with respect to the reduction of tons of CO2 equivalent per year. Conclusions: In order to protect public health, it is evident that buildings and urban activities should not produce carbon emissions throughout their lifecycle. This paper presents a method to evaluate municipal policies regarding dual-impact solutions that address both environmental protection through sustainability strategies and public health, in compliance with the Health in All Policies (HiAP) approach.

The Environmental Niche of the Light Purse Seine Fleet in the Northwest Pacific Ocean Based on Automatic Identification System Data

Ecosystem-based fisheries management requires high-precision fisheries information to provide relevant data for natural resource management, assessment, and marine spatial planning. This study utilizes Automatic Identification System (AIS) data from light purse seine vessels from the Chinese mainland that were collected from May to November between 2020 and 2022, along with the corresponding environmental data. By applying boosted regression trees (BRTs) and generalized additive models (GAMs), this study establishes nonlinear relationships between fishing intensity and predictor variables and explores the ecological and environmental drivers behind the spatial distribution of light purse seine vessels from the Chinese mainland in the Northwest Pacific. This research identifies the key influencing factors and reveals significant seasonal preferences for different marine environments in various months, with chlorophyll-a being the primary influencing factor. The predicted fishing effort closely resembles observed data, providing valuable information to support fisheries resource management and planning.

Mapping the Distance: An Analysis of Visitor Travel Distance to German National Parks and Biosphere Reserves

The ecologically valuable and unique natural and cultural landscapes of protected areas are popular nature tourism destinations. From a spatial perspective, travellers visit protected areas by moving from their place of origin to the destination for a temporary stay. This paper analyses the travel distances of day visitors and overnight guests to German national parks and biosphere reserves. National parks position themselves as both regional and national destinations. In contrast, biosphere reserve tourism is more regionally concentrated due to the proximity of biosphere reserves to urban centres, which are the primary places of origin for visitors. On average, visitors travel 278.6 km by car to visit a national park, taking 172.1 minutes (02:52 hours). Opting for public transport increases the average travel distance to 312.5 km, with a travel time of 284.5 minutes (04:43 hours). Visitors to German biosphere reserves travel 208.7 km by car, requiring 134.7 minutes (02:15 hours). When using public transport to visit biosphere reserves, the average distance increases to 234.0 km, with a travel time of 239.1 minutes (03:59 hours). The automated, GIS-supported distance analyses offer an innovative approach for assessing nature tourism catchment areas and the accessibility of protected areas, serving as a basis for effective spatial planning, development, and regional marketing.

Site selection for biomass-solar hybrid renewable energy facilities: Spatial modelling based on fuzzy logic-geographic information systems

The aim of this study is to propose a fuzzy logic-geographic information systems (GIS) based spatial model within the context of hybrid renewable energy, rural areas, and spatial planning approach in the site selection process of renewable energy facilities. In this context, potential suitability index and site selection suitability index for biomass-solar hybrid renewable energy facilities are determined within the spatial model, through a case study conducted in Türkiye. The study involves a two-stage process: the first stage focuses on establishing the national-level potential, and the second stage involves site selection in areas with high potential. Suitable locations are determined based on the optimal suitability index values, which are derived from fuzzy logic operators including AND, OR, SUM, PRODUCT, and GAMMA, applied in the GIS. The study results indicate that by assigning different γ values to the fuzzy GAMMA operator, results for the fuzzy AND (γ = 0.45–0.60), fuzzy OR (γ = 1.00), fuzzy SUM (γ = 1.00), and fuzzy PRODUCT (γ = 0.00–0.15) operators can be obtained. Furthermore, as the γ value increases, the suitability index also rises, and the optimal site selection occurs at γ = 0.90. The performance of the fuzzy GAMMA operator in big data sets and two-stage processes demonstrates its applicability in site selection.

PEMETAAN PERMASALAHAN BANJIR DAN GENANGAN PADA DRAINASE PERKOTAAN BERBASIS GIS DI KOTA JAYAPURA

The improvement in quality and normalization of drainage throughout the Jayapura City area has already beenincluded in the flood control system plan, starting from enhancing and optimizing the primary, secondary, andtertiary drainage network systems. However, suboptimal drainage conditions are still found under existingconditions, indicating that the drainage network system in Jayapura City has not yet been well optimized. Thisresearch aims to determine the strategies for managing and maintaining the drainage system in the city ofJayapura. The analysis used in this research is qualitative descriptive analysis and spatial analysis. The resultsobtained for creating flood-prone area analysis as information included in the Jayapura City Spatial Plan (RTRW),providing socialization to the community, conducting outreach to the community, and implementing spatialplanning for flood prevention.

KAJIAN RENCANA TATA RUANG WILAYAH BERDASARKAN RISIKO BENCANA GEMPA BUMI DI KOTA JAYAPURA

A study has been conducted on the typology of earthquake disaster-prone areas in the city of Jayapura and the suitability of Regional Spatial Planning (RTRW) for land use capacity in the city of Jayapura. The study onearthquake disaster-prone area typology aims to determine the distribution of stability levels of the area againstthe risk of earthquakes. This study employs a weighting matrix method for area stability based on the Minister ofPublic Works Regulation No. 21 of 2007 concerning Guidelines for Spatial Planning of Volcanic Eruption andEarthquake-Prone Areas (Department of Public Works, 2007). The research results indicate that the final score forthe city of Jayapura is between 30 - 45, which falls into all stability categories: stable and less stable. Thepercentage of area for each category is 97.81% for Stable Type A, 1.91% for Stable Type B, and 0.28% for LessStable Type C. The typology of earthquake disaster-prone areas in Jayapura based on stability scores falls intocategories A, B, and C. The study on the suitability of the Regional Spatial Planning (RTRW) for 2013-2033 with the land usecapacity in Jayapura was assessed by scoring data on land capacity and land use, followed by an overlay analysis.This resulted in a land capacity suitable for development of 57,039.39 hectares, or about 60.48% of the study area,while approximately 37,272.96 hectares, or around 39.52%, were deemed unsuitable.

Geodesign as a boundary management process: Co-creating and negotiating sustainable landscape futures. Participatory research methods for sustainability ‐ toolkit #11

Geodesign is a participatory research and planning process that manages diverse boundaries and combines place-based local knowledge and values, design and planning expertise, and geographic information science for the purpose of collaborative and well-informed spatial planning. It is particularly effective in managing boundaries between stakeholders, knowledge frameworks, and technology. Geodesign is valuable in the early stages of planning, facilitating problem characterization and citizen involvement, as well as impact assessment.

7.X.1. Providing BoD estimates on a regional level – necessity in assessing health inequalities

Abstract Burden of disease indicators, such as Disability-adjusted life years (DALY), Years lost due to disability (YLD) and Years lost due to death (YLL) have become standard indicators in public health reporting systems. Due to the combination of morbidity and mortality, the DALY provides valuable information on the burden due to specific diseases. These tools are employed by policymakers to devise intervention programs with the objective of enhancing the collective health of the population. Studies at the subnational level offer a greater added value to the public health information systems. Identifying variations in health outcomes and disease burden across different regions is a key factor when introducing targeted interventions and allocating resources. Health inequalities persist also in countries with good health systems and well-developed welfare state. There are notable contrasts in the political, economic and social environments across Europe. Moreover, the European countries are at different stages of the epidemiological transition, which encompasses a range of factors influencing health and modifiable risk behaviours. These differences are determined by socioeconomic inequalities at national and sub-national level, such as municipalities, counties and others. It is therefore imperative to provide BoD indicators at the most possible detailed regional-level and to link this information with further indicators such as deprivation indexes or Gini coefficients. Obtaining regional-level data for BoD analysis and health inequalities is not straightforward and can pose many challenges. Data availability is usually scarce and may involve significant resources in collecting it. Data quality and data completeness can also pose challenges in the reporting systems, which can result in under-reporting of certain diseases and overlooking health problems in the population. Also, countries with smaller populations are confronted with the challenge of a limited number of cases, which poses difficulties in obtaining regional estimates. The following workshop presents examples from European BoD studies, that have analysed health inequalities at regional level. The first presentation shows a country comparison study of the overall YLL and their association with socioeconomic and geographical inequalities. The second is from an Estonian study, representing a country with a small population that has developed its own methodology for assessing regional health issues. The third presentation from the German BoD study presents results on 96 spatial planning regions, which have been combined with the German index of socioeconomic deprivation. The final presentation brings example from Norway, where the association between YLL and education and income is examined at municipality level. Key messages • By comparing BoD estimates at the regional level, policymakers and public health officials can identify areas with higher disease burdens, indicating potential health inequalities. • Linking information on BoD indicators with data on regional and socioeconomic inequalities is essential when monitoring developments and tailoring strategies in public health outcomes.

A Methodological Framework for High-Resolution Surface Urban Heat Island Mapping: Integration of UAS Remote Sensing, GIS, and the Local Climate Zoning Concept

The urban heat island effect (UHI) is among the major challenges of urban climate, which is continuously intensifying its impact on urban life and functioning. Against the backdrop of increasingly prolonged heatwaves observed in recent years, practical questions about adaptation measures in cities are growing—questions that traditional meteorological monitoring can hardly answer adequately. On the other hand, UHI has long been the focus of research interest, but due to the technological complexity of providing accurate spatially referenced data at high spatial resolution and the requirement to survey at strictly defined parts of the day, information provision is becoming a major challenge. This is one of the main reasons why UHI research results are less often used directly in urban spatial planning. However, advances in geospatial technologies, including unmanned aerial systems (UASs), are providing more and more reliable tools that can be applied to achieve better and higher-quality information resources that adequately characterize the UHI phenomenon. This paper presents a developed and tested methodology for the rapid and efficient assessment and mapping of the effects of surface urban heat island (SUHI). It is entirely based on the integrated use of data from unmanned aerial systems (UAS)-based remote sensing methods, including thermal photogrammetry and GIS-based analysis methods. The study follows the understanding that correct SUHI research depends on a proper understanding of the urban geosystem, its spatial and structural heterogeneity, and its functional systems, which in turn can only be achieved by supporting the research process with accurate and reliable information resources. In this regard, the possibilities offered by the proposed methodological scheme for efficient geospatial registration of SUHI variations at the microscale, including the calculation of intra-urban SUHI intensity, are discussed in detail. The methodology builds on classical approaches for using local climate zoning (LCZ), adding capabilities for precise delineation of individual zone types and for geostatistical characterization of the urban surface heat island (SUHI). Finally, the proposed scheme is based on state-of-the-art technological tools that provide flexible and automated capabilities to investigate the phenomenon at microscales, including by enabling flexible observation of its dynamics in terms of heat wave manifestation and evolution. Results are presented from a series of sequential tests conducted on the largest residential area in Bulgaria’s capital city, Sofia, in terms of area and population, over a relatively long period from 2021 to 2024.

Burden of disease and socioeconomic deprivation in Germany – regional patterns and variations

Abstract Within the scope of the BURDEN 2020 project (Burden of disease in Germany at the National and Regional Level) carried out by Robert Koch Institute (RKI) in collaboration with the German Environmental Agency and AOK Scientific Institute, burden of disease estimates for Germany and its regions become available for the first time. The national estimates of YLL, YLD and DALY are provided not only stratified by age and sex, but also by detailed regional level (96 spatial planning regions). The regional estimates provide valuable information and support the evidence-based decisions in health policies aiming at reducing the burden of disease in the country. To facilitate further the interpretation and usability of these estimates, the provided indicators were linked to the regional information on deprivation. For this purpose, the German index of socioeconomic deprivation (GISD) was used. The index was developed at the RKI and the last revised version was published in 2022. It is based on nine indicators which reflect the three subdimensions of deprivation: education, employment, and income. That is why GISD is a very suitable index for evaluating regional health disparities. Connecting both informations on BoD and deprivation, gives deeper insides in the regional differences within the country. Some diseases exhibit east/west differences, while others show north/south patterns or rural/urban distinctions. These differences reflect the variation in the prevention and health care needs for the different diseases in Germany. The results underline the necessity to study the regional inequalities separately for each disease. Different health conditions are connected to variations in settings and outline different needs in intervention programs and allocation of means.

Evaluation of Land Suitability for Organic Horticulture Farming in Support of Sustainable Agrarian Governance

Abstract: Land compatibility can contribute to the optimization of agricultural land use, because this evaluation is used to determine the most appropriate spatial plan for current and future land use. Identifying the suitability of agricultural land is necessary to adapt to increasing food needs caused by expanding population, environmental pollution and climate change. Therefore, this research was conducted to assess the suitability of snake fruit plants. Various factors were considered in this research, such as rainfall, temperature, nutrient availability (wa), rainfall density (rc), organic carbon (nr), slope, flood hazard (fh) and erosion hazard (eh). The results of the classification of land suitability classes in the Sleman Regency area, in this case, are that snake fruit plants in most areas fall into the criteria for land suitability class S2 or quite suitable. The results are with an area of??42,150 Ha or with a percentage of 73.4% of the land suitability class S2 or Sufficiently Suitable. (Medium Suitable) is land that has quite heavy barriers to maintain the level of management that must be carried out. In the land suitability class S1 or very suitable in the research area with an area of?? 10625 Ha or with a percentage of 18.5, the land suitability class Very Suitable (Very Suitable) is land that has no boundaries. The results of the land suitability assessment, both actual and potential, can be carried out by improving efforts such as improving drainage, adding organic material, planting according to contours, fertilizing. Keywords: Horticulture, Uniformity, Land Suitability, Organic Farming, Snake Fruit