Search Results (76)

Descola describes western culture, influenced by the Christian worldview, as “naturalist”. However, semiotic and ethnographic research shows that different perspectives about the relationship between humans and animals coexist with mainstream naturalism. In particular, the introduction of animals in churches is not rare in Italy today, even though it fuels an ongoing debate. The relationship with animals is central in Saint Anthony’s figure and feast, which includes the blessing of animals. This article first focuses on the figure of Saint Anthony, finding in its first sources the seeds of a worldview based on love for creation that fully flourishes centuries later with Saint Francis, then it contextualizes the blessing of animals in the context of a changing sensitivity towards animals, which are often considered from an affective perspective and as part of an ecological standpoint that is also expressed in the institutional discourse of the Catholic Church. Then, the patronal feast of Saint Anthony and the blessing of animals in two different urban communities of Turin (Italy) are the subject of an ethnosemiotic analysis highlighting the animals’ position (inside or at the border of the sacred space), the rite’s structure and the relation between the verbal discourse and the performance of celebrants and worshipers. The position of the animals is thus considered as the expression plane of semantic values about their status in relation to the family. Full article

This paper analyzes the Hindu concept of sevā—selfless service—as a theo-ethical practice that reconfigures the relationship between religion and economy, offering a snapshot of an Indian perspective on the convergence between postsecularism and postcapitalist discourses. Rather than being reducible to acts of charity, sevā integrates spiritual, ethical, and social dimensions that challenge the neoliberal emphasis on individual self-interest and material accumulation. Rooted in the pursuit of liberation and relational well-being, sevā frames economic and moral agency in terms of embeddedness, reciprocity, and care. To illustrate sevā’s unique attributes, the paper engages with two case studies. The first explores Mahatma Gandhi’s philosophy, where sevā is articulated through a non-anthropocentric ethic of nonviolence (ahiṃsā), obliging the reconstruction of eco-economic mechanisms and environmental responsibility. The second examines contemporary guru-bhakti communities in Delhi’s urban peripheries, where sevā functions as spiritual discipline (sādhana), a means for communal uplifting, and the expression of kalyāṇ—holistic well-being that transcends individual boundaries. In both contexts, sevā emerges as a practice that intervenes in and reshapes socio-economic life. By foregrounding sevā as a lived practice, the paper situates Indian religious traditions as a distinctive contribution to broader postcapitalist and postsecular debates. It argues that sevā offers an alternative model of personhood and ethical intentionality—one that contests dominant binaries of spiritual/material, secular/religious, and human/nature, and reimagines human flourishing through the lens of relational ontology and collective responsibility. Full article

With rapid urbanization and surging traffic volumes, traffic accident data have become high-dimensional, multi-source, heterogeneous, and spatiotemporally dynamic, posing challenges for traditional statistical methods and machine learning models to simultaneously account for data heterogeneity and nonlinear interactions. Knowledge graphs, by constructing structured semantic networks that integrate accident events, participants, environmental factors, and other multidimensional elements, inherently support multi-source information fusion and reasoning. In this study, following a top-down ontology design principle, we construct a California Traffic Accident Knowledge Graph (TAKG) encompassing over one hundred elements, and propose an enhanced TransD embedding model. Our model introduces entity–attribute projection vectors into the dynamic mapping mechanism to explicitly encode domain attributes, and designs a dual-limit scoring loss function to independently regulate the positive and negative sample boundaries. Experimental results demonstrate that our method significantly outperforms traditional translation-based models on the self-built TAKG as well as on the FB15K-237 and WN18RR benchmark datasets. This research provides a solid data foundation and algorithmic support for downstream traffic accident risk prediction and intelligent traffic safety management. Full article

Climate change poses one of the most urgent challenges for cities today, creating unprecedented risks for individuals, communities, and various types of infrastructure—social, spatial, and physical. In response, many cities have begun developing and implementing adaptation policies aimed at enhancing their resilience and sustainability. This paper raises an important question about the fairness of these emerging policies and plans: how are adaptation policies and their practical measures distributed equitably among different urban areas, and how do they affect social, racial, ethnic, and other marginalized groups? However, the existing literature on urban adaptation measures is fragmented across various fields of knowledge. There is a notable lack of a cohesive conceptual framework that integrates these adaptation measures. This absence hinders our understanding of the social dimensions of these policies and their equitable distribution among diverse urban groups and neighborhoods, especially when many of them are implemented simultaneously. This paper aims to analyze the socially just aspects of urban adaptation measures and to explore their impact on socially, demographically, ethnically, and gender-diverse populations and groups. The central argument of this paper is that adaptation policies and their associated measures are not merely tools for implementation; rather, adaptation measures serve as significant carriers of social justice. This paper reviews multidisciplinary climate change adaptation policies and measures at the city scale. This analytical review is grounded in Jabareen’s multidisciplinary theory for building a conceptual framework. The analysis yields a new conceptual framework, which we refer to as the Conceptual Framework for Just-Oriented Adaptation Policies. This framework consists of six interconnected concepts of adaptation, with each concept encompassing various measures that collectively contribute to specific aspects of social justice. At the core of this framework lies the ontological concept of defensibility, which underpins adaptation policies aimed at protecting people and urban systems while enhancing the resilience of cities. Full article

Urban biodiversity is essential for sustainable cities, as it helps address the challenges of environmental degradation, ecosystem loss, species decline, and increased vulnerability to climate hazards, which negatively affect human health and well-being. ECOLOPES (ECOlogical building enveloPES) aims to develop a design approach for multi-species as stakeholders to achieve regenerative urban ecosystems. Integrating the diverse data required for stakeholders and beyond—spanning the life sciences, geography, and architecture—and utilising it for design presents a significant challenge. This paper introduces an ontology-driven approach that utilises ontology-based data management (OBDM) as a framework for integrating diverse data sources, enabling ecologists and architects to design sites and buildings that foster urban biodiversity. OBDM offers a unified view of multiple data sources through an ontology, enabling query and update operations to be performed directly on the integrated data. The proposed ontology, developed in collaboration with domain experts and adhering to Semantic Web and Linked Data best practices, serves as a mediator between life sciences data (e.g., species distribution and habitats) and geometric information (e.g., maps and voxel models of building structures). This integration enables the adaptation of sites, buildings, and geometries, respectively, to create habitats that attract and support urban wildlife, contributing to ecological sustainability. The paper illustrates the practical utility of the ontology through a case study, highlighting its role in guiding building designs that promote species attractiveness and urban biodiversity. Full article

Urban minerals are secondary resources with economic value that can be recycled and utilized, including iron and steel, non-ferrous metals, rubber, and others. Accurately estimating the quantities of various components is a critical element in the urban mining operations that support sustainable resource management. To achieve this, ontology construction was employed to systematically define and structure the relationships among different entities in the domain. Knowledge graphs were developed to identify the constituent elements and mineralization process of iron and steel, contributing to improved sustainability in urban resource utilization. The knowledge graphs were constructed using a top-down approach and stored in a Neo4j database. When a knowledge graph of iron and steel components is constructed, the iron and steel products are classified into 5 major categories and 14 subcategories. The knowledge graph of the iron and steel mineralization process is divided into five iron and steel mineralization stages and combines industrialization and urbanization to represent the factors that play a role in the iron and steel mineralization process. By leveraging ontology construction, the knowledge graph can improve the efficiency of refining and analyzing data in urban mineral-related fields. This, in turn, provides an essential data basis for establishing a circular economic system for iron and steel industry resources and advancing sustainability-oriented urban mining practices. Full article

This systematic review examines the intersection of systems thinking and learning theory in addressing rural–urban challenges in light of increasing global urbanization. We explore how different dimensions of systems thinking—ontological (how we understand systems) and epistemological (how we think about systems)—align with single-, double-, and triple-loop learning in rural–urban research from 2014 to 2024. Through a rigorous screening process of the peer-reviewed literature, we analyze how theoretical frameworks manifest in research approaches, methodological choices, and learning outcomes. Our findings reveal promising developments and persistent gaps in current approaches, and suggest pathways for more integrated theoretical and methodological frameworks. We also highlight the need for studies that develop knowledge and practices that support collective learning and joint trajectories towards sustainability from a cross-sectorial perspective in rural–urban geographies. This synthesis contributes to discussions on how to effectively address complex challenges at the rural–urban interface while advancing both theoretical understanding and practical application. Full article

The concept of a digital twin (DT), rooted in mid-20th-century ideas, has recently gained significant traction even outside software simulation and engineering modeling. The recent advancements in computational power and the development of model integration methodologies have enabled the creation of virtual replicas of complex physical objects. The success of DTs in engineering has also pushed for the exploration of their use in other domains, especially where complex systems are at stake. One of these cases, which is the focus of this paper, is the modeling of cities and the way they are transformed via technologies into so-called smart cities. In these systems, the huge amount of data that are made accessible and constantly updated via sensor networks suggests that one can use DTs dedicated to the urban scenario as data-driven decision-making devices. However, the concept of a DT was not developed for socio-technical systems and requires careful analysis when applied to urban scenarios. While technologies and information systems have become integrated into city management, this has not reduced the complexity of the city. Relying only on sensory data for city modeling and management seems pretentious since detectable data (what is made accessible via sensor networks) do not seem suitable to inform on all important aspects of the city. Urban DTs hold promise, yet their development necessitates careful consideration of both opportunities and limitations. For this goal, it can be helpful to exploit an ontological analysis due to its neutral and systematic approach and to look at a city as a system of intertwined relationships across its components, such as places, agents, and knowledge. The variety of interactions that the components manifest highlights aspects of the city that the type of data we can collect today leaves unexplored. The paper presents a preliminary example of this issue by studying cases of city squares. The final part of this paper is a call to analyze DTs’ potential role in urban contexts and become aware of the intrinsic limitations of the data they rely upon. Full article

China’s urban rail transportation sector has been developing rapidly in recent years. However, frequent construction activities have led to more construction safety accidents, resulting in life and economic losses. To deal with safety accidents, emergency preparedness documents are fully developed. Based on the theory of ontology, this study proposed a case-based reasoning method that can retrieve the most similar cases to the target case and help to develop emergency preparedness documents quickly and efficiently. Specifically, an ontological framework for urban rail construction safety was constructed first in the Protégé platform based on risk factors of urban rail construction projects. Then, a case retrieval method was proposed, calculating the similarities between source cases and target cases. The analytic hierarchy process was used to determine the weights of each risk factor to match the most similar cases and provide a reference for the rapid generation of emergency preparedness of target cases. This study contributes to the current body of knowledge by providing valuable examples for the application of ontology-based case-based reasoning technology in the field of hazard management, which not only realizes knowledge sharing and full and effective utilization of past experiences but also significantly improves the hazard prevention and emergency preparedness capabilities in urban rail transit construction projects. At the same time, this study makes hazard management more systematic and efficient and provides important support for the long-term sustainable development of the urban rail transit construction industry in both social and economic dimensions. Full article

The unprecedented pace of urbanization has been exerting significant strain on cities, raising critical concerns across environmental, economic, social, and technological aspects. In response, the ‘Smart City’ concept has emerged as a novel urban development paradigm, aiming at addressing contemporary urban issues, enhancing cities’ competitiveness and prosperity, and fostering active participation through the strategic utilization of state-of-the-art technologies. However, the smart city term suffers from considerable conceptual ambiguity, thereby provoking intense confusion and misunderstanding among interested parties and leading to the implementation of ineffective initiatives. Moreover, the priorities of sustainability, resilience, and inclusiveness have gained prominence in the urban planning discourse, necessitating a more integrated view that aligns urban targets with performance assessment across various domains. In light of these issues, this study endeavors to clarify the above-mentioned conceptual vagueness by developing a holistic, indicator-oriented smart city ontology. The proposed knowledge representation scheme is intended to serve as a Decision Support Tool that will facilitate policymakers to tackle urban challenges and formulate sound policies. Additionally, it is expected to contribute to the fields of spatial and developmental planning by establishing a standardized framework for assessing and monitoring cities’ performance, while elucidating the complex interrelationships and trade-offs among diverse urban dimensions. Full article

Although scientific literature already shows the connections between gamification, tourism and sustainability, there is still a gap in research into how gamification can transform cities into more playful, sustainable and intelligent tourism destinations. Gamification in tourism promotes engagement, education and innovation, enriching experiences and driving the development of smart destinations. This study advances this debate by employing a mixed methodology, combining a systematic review (supported by Rayyan, an artificial intelligence) and content analysis (supported by Iramuteq, a textual software, version 0.7 Alpha 2). Additionally, we used Dreamscape by Voyant Tools online for a geographical analysis of the textual corpus formed by n = 61 abstracts. The intersection of main findings from the techniques applied provides eight new insights on urban tourism education through gamification, which are as follows: (1) exchange between the Global North and South; (2) local and global participation; (3) collaborations to achieve the 17 SDGs; (4) improve urban destination marketing by ethics principles; (5) deepening disruption technology and ethics studies; (6) the transformation of reality by sciences; (7) gamification on interdisciplinary perspectives; and (8) the role of gamification on the tourism and hospitality industry. The results suggest that gamification in tourism can offer a new ontological approach to addressing sustainable urban development, highlighting both theoretical and practical challenges. This research has both theoretical and practical implications, advancing the concept of ecogaming by integrating technology, entertainment and sustainability, and reinforces its potential to educate and engage in sustainable urban tourism practices. Full article

This study addresses the challenges of integrating heterogeneous environmental geospatial data by proposing a framework based on ontology-based data access (OBDA). Geospatial data are important for decision-making in various domains, such as environmental monitoring, disaster management, and urban development. Data integration is a common challenge within these domains due to data heterogeneity and semantic discrepancies. The proposed framework uses semantic web technologies to enhance data interoperability, accessibility, and usability. Several practical examples were demonstrated to validate its effectiveness. These examples were based in Lake Mjøsa, Norway, addressing both spatial and non-spatial scenarios to test the framework’s potential. By extending the GeoSPARQL ontology, the framework supports SPARQL queries to retrieve information based on user requirements. A web-based SPARQL Query Interface (SQI) was developed to execute queries and display the retrieved data in tabular and visual format. Utilizing free and open-source software (FOSS), the framework is easily replicable for stakeholders and researchers. Despite some limitations, the study concludes that the framework is able to enhance cross-domain data integration and semantic querying in various informed decision-making scenarios. Full article

Typhoon disasters not only trigger secondary disasters, such as rainstorms and flooding, but also bring many negative impacts on the normal operation of urban infrastructure and the safety of people’s lives and property. In order to effectively prevent the risks of typhoon disaster chain, this paper proposes a joint entity and relation extraction model based on RoBERTa-Adv-GPLinker. Then, relying on the ontology theory and methodology, we establish a knowledge graph of typhoon disaster chain. The results show that the joint extraction model based on RoBERTa-Adv-GPLinker outperforms other baseline models in all assessment indexes. Moreover, the constructed knowledge graph of typhoon disaster chain includes secondary disasters and derived disaster impacts. This can largely depict the evolution process of typhoon disaster secondary derivations. On this basis, a risk assessment model of typhoon disaster chain based on Bayesian network is established. Taking Fujian Province as an example, the risk associated with the typhoon disaster chain is assessed, verifying the effectiveness of the method. This study provides a scientific basis for enhancing government emergency response capabilities and achieving sustainable regional development. Full article

Urban development is increasingly scrutinized for its sustainability from an economic, social, and environmental viewpoint. This study emphasizes how important indicators are in capturing the complexity of urban settings when assessing urban landscapes and making sure that comprehensive development plans incorporate all these aspects. The work aim is to forward the investigation of the ontology of indicators related to urban sustainability, specifically, a framework for spatial and temporal analysis and an attempt to align terminology with the sustainability indicators of the ISO spectrum. The methodology encompasses three main phases: a systematic review of sustainability indicators from the scientific literature across various territorial scales; the mapping of individual indicators to their appropriate spatial–temporal measurement ranges; and the alignment of these spatially and temporally specific indicators with ISO standards. Focusing on the Italian context, this study establishes an ontological spatial–temporal framework. It analyzes ISO indicators that can be managed in Italian spatial settings. The main objective of this part of the research is to select through a critical analysis the most frequent indicators in order to be able to make an alignment and define those that aim more at the goals of the 2030 Agenda on sustainability. This innovative approach enhances urban issue awareness and supports informed decision-making by demonstrating how sustainability indicators can be effectively utilized in downscaling strategies to create a policy for the practical use of indicators. Full article

Urban waterlogging is one of the major “diseases” faced by cities, posing a great challenge to the healthy and sustainable development of cities. The traditional geographic knowledge graph struggles to capture dynamic changes in urban waterlogging over time. Therefore, the objective of this study is to analyze the time, events, properties, geographic objects, and activities associated with urban waterlogging emergency responses from the geographic spatial and temporal processes perspective and to construct an urban waterlogging emergency knowledge graph by combining top-down and bottom-up approaches. We propose a conceptual model of urban waterlogging emergency response ontology based on spatiotemporal processes by analyzing the basic laws and influencing factors of urban waterlogging occurrence and development. Secondly, we describe the construction process of the urban waterlogging emergency response knowledge graph from knowledge extraction, knowledge fusion, and knowledge storage. Finally, the knowledge graph was visualized using 159 urban waterlogging events in China from 2020–2022, with a quality assessment indicating 81% correctness, 65.5% completeness, and 95% data conciseness. The results show that this method can effectively express the spatiotemporal process of an urban waterlogging emergency response and can provide a reference for the spatiotemporal modeling of the knowledge graph. Full article