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Impact of Urban Green Spaces on Social Interaction Among People in Neighborhoods: Case Study for Jubail, Saudi Arabia
Roaa M. Alshehri,
Badran M. Alzenifeer,
Ali M. Alqahtany,
Tareq Alrawaf,
Aymen H. Alsayed,
Hazem M. Nour Afify,
Zeinab Ahmed AbdElghaffar Elmoghazy,
Maher S. Alshammari
Posted: 21 April 2025
Detection and Clustering of Urban Form Typologies with Machine Learning: Insights into Thessaloniki's Urban Planning and Evolution
Aristotelis Vartholomaios
Posted: 18 April 2025
Toward Unlocking the Potential of the Circular Economy at Municipal Levels: A Study of Expert Perceptions in the Dammam Metropolitan Area
A. K. Alhowaish,
Fatimah S Alkubur
Posted: 15 April 2025
Cultivating Bonds: on Urban Allotment Gardens and Their Relationship with Social Capital
Noelia Fernandez-Salido,
Alfonso Gallego-Valadés,
Carlos Serra-Castells,
Jorge Garcés-Ferrer
Posted: 15 April 2025
Integrating Cultural Heritage, Place Making, and Smart City Development: A Conceptual Framework
Elika Tousi,
Surabhi Pancholi,
Md Mizanur Rashid,
Chin Koi Khoo
Posted: 15 April 2025
Cultural Heritage as a Catalyst for Sustainable Urban Regeneration: The Case of Tarout Island, Saudi Arabia
Maryam Aldossary,
Ali M. Alqahtany,
Maher S. Alshammari
Posted: 14 April 2025
Analysis of the Impact of Ownership on Construction Land Prices Under Government Decision-Making Regulations in China: An Empirical Research Based on Micro-Level Land Transaction Data
Jinlong Duan,
Zizhou Ma,
Fan Dong,
Xiaoping Zhou
Posted: 09 April 2025
Enhancing Post-Disaster Food Security through Urban Agriculture in the Context of Climate Change
Yanxin Liu,
Victoria Chanse,
Fabricio Chicca
Posted: 02 April 2025
Anticipating the Future of Smart Cities and Urban Sustainability: A Bibliometric-Foresight Approach Toward SDG 11
Sarath Chandran MC,
Renju Chandran,
Dayana Das,
VinodKumar K
Posted: 02 April 2025
Democratic Theory, Urban Planning Ideology and Public Participation in the Era of Artificial Intelligence
Konstantinos Lalenis
Posted: 27 March 2025
Effects of Comprehensive Land Consolidation on Farmers’ Livelihood Under Different Terrain Gradients
Wan Rongshan,
Yu Hui,
Zhang Dan,
Yang Bo,
Huang Yanhong
Posted: 19 March 2025
From Thermal City to Well-Being Landscape: A Proposal for the UNESCO Heritage Site of Pineta Park in Montecatini Terme
Maria Stella Lux,
Julia Nerantzia Tzortzi
Posted: 19 March 2025
A Framework for Enhancing Social Interaction by Improving Access to Recreational Parks in Residential Neighborhoods: A Case Study of the Dammam Metropolitan Area, Saudi Arabia
Abdulrahman Alnaim,
Umar Lawal Dano,
Ali Muflah Alqahtany
Posted: 17 March 2025
Factors Influencing Social Interaction in Recreational Parks in Residential Neighborhoods: A Case Study of the Dammam Metropolitan Area, Saudi Arabia
Abdulrahman Alnaim,
Umar Lawal Dano,
Ali Muflah Alqahtany
Social interaction is crucial for social sustainability and quality of life. This research focuses on recreational parks in residential neighborhoods in Dammam Metropolitan Area (DMA) to enhance social interaction. The study is designed to identify and prioritize factors affecting the social interaction in the recreational parks in the residential neighborhoods in Dammam Metropolitan Area (DMA). All factors are extracted from literature studies relevant to the social interaction among individuals in the recreational parks. This study follows the methodology of expert-based questionnaire to weigh each factor according to the scale from strongly agree to strongly disagree regarding the extracted factors that may influence the social interaction in the recreational parks. The findings emphasized the importance of demographic characteristics of the neighborhood residents, physical characteristics of the recreational parks and social sustainability characteristics in influencing the social interaction among neighborhood residents in the recreational parks in DMA. The analysis of the demographic characteristics showed that the age group of the neighborhood residents is the most effectiveness factor on social interaction in the recreational parks in DMA with score (4.53). Secondly, the analysis of the physical characteristics of the recreational parks showed that the periodic maintenance of the recreational park is the most effective factor on social interaction in DMA with score (4.79). Thirdly, the analysis of social sustainability characteristics showed that safety and security is the most effectiveness factor on social interaction in the recreational parks in DMA with score (4.74). Finally, this study concluded with some recommendations to address the probable factors that may influence the social interaction in the recreational parks in the Saudi contexts, particularly in DMA.
Social interaction is crucial for social sustainability and quality of life. This research focuses on recreational parks in residential neighborhoods in Dammam Metropolitan Area (DMA) to enhance social interaction. The study is designed to identify and prioritize factors affecting the social interaction in the recreational parks in the residential neighborhoods in Dammam Metropolitan Area (DMA). All factors are extracted from literature studies relevant to the social interaction among individuals in the recreational parks. This study follows the methodology of expert-based questionnaire to weigh each factor according to the scale from strongly agree to strongly disagree regarding the extracted factors that may influence the social interaction in the recreational parks. The findings emphasized the importance of demographic characteristics of the neighborhood residents, physical characteristics of the recreational parks and social sustainability characteristics in influencing the social interaction among neighborhood residents in the recreational parks in DMA. The analysis of the demographic characteristics showed that the age group of the neighborhood residents is the most effectiveness factor on social interaction in the recreational parks in DMA with score (4.53). Secondly, the analysis of the physical characteristics of the recreational parks showed that the periodic maintenance of the recreational park is the most effective factor on social interaction in DMA with score (4.79). Thirdly, the analysis of social sustainability characteristics showed that safety and security is the most effectiveness factor on social interaction in the recreational parks in DMA with score (4.74). Finally, this study concluded with some recommendations to address the probable factors that may influence the social interaction in the recreational parks in the Saudi contexts, particularly in DMA.
Posted: 17 March 2025
Evaluation of the Suitability of Cultural Heritage Protection and Utilization in the Process of Underground Space Development: A Case Study of Xuzhou City
Chao Huang,
Jian Qiu,
Tianmin Huang,
Lihua Xing,
Xiaohong Tan
Utilizing underground space has become a means to address urban issues, however, heritage protection in underground development has become an unavoidable challenge. Whether to proceed with underground development in a heritage site requires a suitability study that considers various influencing factors to guide comprehensive protection planning. Therefore, conducting a suitability study for underground development in heritage sites is a critical issue that must be addressed before policy and planning decisions. Based on preliminary research, this study identifies and summarizes the influencing factors of underground heritage development suitability, innovatively constructs “Underground Resource Development Suitability Index System of Cultural Heritage, URDSIS-CH”, and employs the “Dependency Analytic Process, DAP” method for evaluation. It explores spatial development issues arising from underground heritage development and clarifies the relationship mechanisms between relevant influencing factors. The study seeks to resolve the contradiction between underground space development and cultural heritage protection through technological and methodological approaches, providing insights for a more scientific approach to underground heritage preservation and utilization.
Utilizing underground space has become a means to address urban issues, however, heritage protection in underground development has become an unavoidable challenge. Whether to proceed with underground development in a heritage site requires a suitability study that considers various influencing factors to guide comprehensive protection planning. Therefore, conducting a suitability study for underground development in heritage sites is a critical issue that must be addressed before policy and planning decisions. Based on preliminary research, this study identifies and summarizes the influencing factors of underground heritage development suitability, innovatively constructs “Underground Resource Development Suitability Index System of Cultural Heritage, URDSIS-CH”, and employs the “Dependency Analytic Process, DAP” method for evaluation. It explores spatial development issues arising from underground heritage development and clarifies the relationship mechanisms between relevant influencing factors. The study seeks to resolve the contradiction between underground space development and cultural heritage protection through technological and methodological approaches, providing insights for a more scientific approach to underground heritage preservation and utilization.
Posted: 11 March 2025
The Influence of Different Visual Elements of High-Density Urban Observation Decks on the Visual Behavior and Place Identity of Tourists and Residents
Pohsun Wang,
Hao Fu
Posted: 11 March 2025
Green Municipal Bonds and Sustainable Urbanism in Saudi Arabian Cities: Toward a Conceptual Framework
A. K. Alhowaish
Posted: 10 March 2025
Data-Driven Spatial Analysis: A Multi-Stage Framework to Enhance Temporary Event Space Attractiveness
Yen-Khang Nguyen-Tran,
Aliffi Majiid,
Riaz-Ul-Haque Mian
Revitalizing Japan’s remote areas has become an urgent challenge, particularly in regions with ageing populations. Despite their rich cultural and natural resources, these areas struggle to attract younger demographics, including young families and children. To address this, local governments have introduced temporary events to enhance urban vibrancy and create inclusive spaces. However, research on optimizing event design faces significant challenges due to the vast amount of data required for comprehensive analysis, making it difficult to gain deeper insights into user experience.On the other hand, recent advancements in natural language processing (NLP) and AI, particularly models like ChatGPT-4, have significantly enhanced data-driven decision-making. However, a major challenge in multi-person and multi-event analysis remains the need for structured user metadata, which is a critical gap. By integrating visual segmentation, spatial perception analysis, and NLP, this research introduces a novel, scalable approach to refining the design of temporary event spaces, using Matsue City as a case study.From an architectural perspective, this method enhances the visual attractiveness of temporary event spaces by optimizing spatial layout, product visibility, and user engagement, ensuring they remain appealing and inclusive despite demographic challenges.On the data-driven side, a specialized model has been developed to process multi-person interview data, addressing the complexities of analyzing multi-dimensional datasets. Furthermore, advancements in keyword extraction algorithms improve the identification of shared themes from interviews, enabling more accurate and insightful analysis of public event experiences. This integrated approach not only bridges spatial design and participant engagement but also establishes a replicable AI-assisted framework for systematically enhancing temporary event spaces, overcoming current limitations in large-scale data processing.
Revitalizing Japan’s remote areas has become an urgent challenge, particularly in regions with ageing populations. Despite their rich cultural and natural resources, these areas struggle to attract younger demographics, including young families and children. To address this, local governments have introduced temporary events to enhance urban vibrancy and create inclusive spaces. However, research on optimizing event design faces significant challenges due to the vast amount of data required for comprehensive analysis, making it difficult to gain deeper insights into user experience.On the other hand, recent advancements in natural language processing (NLP) and AI, particularly models like ChatGPT-4, have significantly enhanced data-driven decision-making. However, a major challenge in multi-person and multi-event analysis remains the need for structured user metadata, which is a critical gap. By integrating visual segmentation, spatial perception analysis, and NLP, this research introduces a novel, scalable approach to refining the design of temporary event spaces, using Matsue City as a case study.From an architectural perspective, this method enhances the visual attractiveness of temporary event spaces by optimizing spatial layout, product visibility, and user engagement, ensuring they remain appealing and inclusive despite demographic challenges.On the data-driven side, a specialized model has been developed to process multi-person interview data, addressing the complexities of analyzing multi-dimensional datasets. Furthermore, advancements in keyword extraction algorithms improve the identification of shared themes from interviews, enabling more accurate and insightful analysis of public event experiences. This integrated approach not only bridges spatial design and participant engagement but also establishes a replicable AI-assisted framework for systematically enhancing temporary event spaces, overcoming current limitations in large-scale data processing.
Posted: 28 February 2025
Who Shapes the City? Governance, Resistance, and Urban Redevelopment in Sant’Ana Hill
Jorge Gonçalves,
Isabella Freitas,
Daniela Arnaut
Posted: 27 February 2025
Towards Landscape-Based Groundwater Recharge for Arid Regions- the Case Study of Karachi, Pakistan
Amna Riaz,
Steffen Nijhuis,
Inge Bobbink
Posted: 25 February 2025
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