Pub Date : 2025-02-01DOI: 10.1016/j.foar.2024.08.001
Majid Amani-Beni , Mahdi Tabatabaei Malazi , Besir Sahin , Ahmet Selim Dalkılıç
This study simulates wind effects on a standard tall building model as specified by the Commonwealth Advisory Aeronautical Council (CAARC). We generated data to enhance living conditions through passive flow control, which mitigates building weathering, reduces wind loads, and improves energy efficiency and natural ventilation. The research also aids building designers with robust numerical predictions. The validity of these results was confirmed by comparing drag coefficient (CD) values with those from previous studies. The findings demonstrate that passive flow control significantly reduces wind-induced drag forces on the building at various angles of attack (α) by altering wind-induced pressures, reducing vorticity, and decreasing vortex shedding magnitudes. The objective was to identify the optimal placement of segmented cladding materials with desired gaps between segments to allow airflow to influence temperature variations when exposed to wind at 293 K and a heat flux of 500 W/m2 at wind speeds of 1, 2, and 4 m/s (Reynolds numbers of 5.2 × 10³, 10.4 × 10³, and 20.8 × 10³). Using 2D numerical analysis, twenty-four different facade and building model combinations were simulated. This study offers practical guidance on facade selection and positioning to optimize wind resistance and enhance the livability and functionality of building environments.
{"title":"Effects of facades positioned at different angles on building thermal performance and flow behaviors","authors":"Majid Amani-Beni , Mahdi Tabatabaei Malazi , Besir Sahin , Ahmet Selim Dalkılıç","doi":"10.1016/j.foar.2024.08.001","DOIUrl":"10.1016/j.foar.2024.08.001","url":null,"abstract":"<div><div>This study simulates wind effects on a standard tall building model as specified by the Commonwealth Advisory Aeronautical Council (CAARC). We generated data to enhance living conditions through passive flow control, which mitigates building weathering, reduces wind loads, and improves energy efficiency and natural ventilation. The research also aids building designers with robust numerical predictions. The validity of these results was confirmed by comparing drag coefficient (<em>C</em><sub>D</sub>) values with those from previous studies. The findings demonstrate that passive flow control significantly reduces wind-induced drag forces on the building at various angles of attack (<em>α</em>) by altering wind-induced pressures, reducing vorticity, and decreasing vortex shedding magnitudes. The objective was to identify the optimal placement of segmented cladding materials with desired gaps between segments to allow airflow to influence temperature variations when exposed to wind at 293 K and a heat flux of 500 W/m<sup>2</sup> at wind speeds of 1, 2, and 4 m/s (Reynolds numbers of 5.2 × 10³, 10.4 × 10³, and 20.8 × 10³). Using 2D numerical analysis, twenty-four different facade and building model combinations were simulated. This study offers practical guidance on facade selection and positioning to optimize wind resistance and enhance the livability and functionality of building environments.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 1","pages":"Pages 267-281"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.foar.2024.07.001
Liwei Chen, Ye Zhang, Yue Zheng
In the past decade, the construction speed of high-rise office towers worldwide has exhibited explosive growth. The unique morphological characteristics of high-rise office towers result in higher shape factors and relatively larger thermal loads. The traditional workflow of “design-evaluation” in the early stages of design imposes constraints on the diversity of tower morphology, the timeliness of performance evaluation, and the efficient integration of systems. Therefore, targeting the geometric characteristics of high-rise office towers, a systematically developed and universally applicable design grammar, named “Vertex-Based Polygonal Generative Grammar (VPGG)” is proposed. Additionally, a corresponding early-stage performance driven High-rise Office Tower Generative Design Framework (HOT_GDF) is introduced. Case study results demonstrate that, with the support of Artificial Neural Network, utilizing this system can not only globally explore the diversity of tower morphologies but also efficiently uncover greater energy-saving potential in complex architectural forms compared to simpler cubic forms, with an improvement of up to 7.76% during the early stages of design. Designed from the perspective of architects, the framework achieves logical, refined, and visual real-time interaction between computers and human minds during the early stages of tower design. This enhances design efficiency and facilitates design decision-making. It systematically integrates considerations for environmental performance, such as thermal load and thermal comfort, into the design process. Furthermore, it couples various aspects of morphological design with corresponding building performance, helping users in making design decisions from a rational and quantifiable perspective. This captures greater design potential, encompassing both form and performance, for high-rise office towers during the initial design phase.
{"title":"A performance-based generative design framework based on a design grammar for high-rise office towers during early design stage","authors":"Liwei Chen, Ye Zhang, Yue Zheng","doi":"10.1016/j.foar.2024.07.001","DOIUrl":"10.1016/j.foar.2024.07.001","url":null,"abstract":"<div><div>In the past decade, the construction speed of high-rise office towers worldwide has exhibited explosive growth. The unique morphological characteristics of high-rise office towers result in higher shape factors and relatively larger thermal loads. The traditional workflow of “design-evaluation” in the early stages of design imposes constraints on the diversity of tower morphology, the timeliness of performance evaluation, and the efficient integration of systems. Therefore, targeting the geometric characteristics of high-rise office towers, a systematically developed and universally applicable design grammar, named “Vertex-Based Polygonal Generative Grammar (VPGG)” is proposed. Additionally, a corresponding early-stage performance driven High-rise Office Tower Generative Design Framework (HOT_GDF) is introduced. Case study results demonstrate that, with the support of Artificial Neural Network, utilizing this system can not only globally explore the diversity of tower morphologies but also efficiently uncover greater energy-saving potential in complex architectural forms compared to simpler cubic forms, with an improvement of up to 7.76% during the early stages of design. Designed from the perspective of architects, the framework achieves logical, refined, and visual real-time interaction between computers and human minds during the early stages of tower design. This enhances design efficiency and facilitates design decision-making. It systematically integrates considerations for environmental performance, such as thermal load and thermal comfort, into the design process. Furthermore, it couples various aspects of morphological design with corresponding building performance, helping users in making design decisions from a rational and quantifiable perspective. This captures greater design potential, encompassing both form and performance, for high-rise office towers during the initial design phase.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 1","pages":"Pages 145-171"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.foar.2024.07.013
Miaomiao Liu, Zhendong Lei, Ya Gao, Xue Li
The eco-environment-oriented development (EOD) mode is an innovative project organization and implementation approach that integrates ecological governance, industrial operations, and regional development. However, this mode still requires more in-depth research to strengthen its applicability to spatial perspectives and rural patterns. This study contributes to this context by proposing a rural spatial governance framework based on the EOD mode, focusing on the three main governance elements: space, capital, and subject. By constructing a conceptual model of the multidimensional governance effectiveness of EOD systems, it reveals the coupling mechanisms of three rural elements and proposes governance modes with spatially integrated optimization, capital value circulation, and rural subject connection as the focus of elemental regulation. This mode is further demonstrated through instantiation. In response to the developmental dilemmas of the villages’ overall decline owing to coal mining subsidence on the Weibei Plateau, an integrated transformation plan for production, living, and ecological spaces is formulated, based on which the stage-specific focuses are clarified in the holistic governance path of “space-capital-subject”. The research findings exemplify the application value and feasibility in regulating element relationships and balancing multiple benefits and can provide a reference at the spatial level to promote rural sustainable development through ecological governance.
{"title":"A framework for rural spatial governance based on the eco-environment oriented development mode: The case of coal mining subsidence area on the Weibei Plateau","authors":"Miaomiao Liu, Zhendong Lei, Ya Gao, Xue Li","doi":"10.1016/j.foar.2024.07.013","DOIUrl":"10.1016/j.foar.2024.07.013","url":null,"abstract":"<div><div>The eco-environment-oriented development (EOD) mode is an innovative project organization and implementation approach that integrates ecological governance, industrial operations, and regional development. However, this mode still requires more in-depth research to strengthen its applicability to spatial perspectives and rural patterns. This study contributes to this context by proposing a rural spatial governance framework based on the EOD mode, focusing on the three main governance elements: space, capital, and subject. By constructing a conceptual model of the multidimensional governance effectiveness of EOD systems, it reveals the coupling mechanisms of three rural elements and proposes governance modes with spatially integrated optimization, capital value circulation, and rural subject connection as the focus of elemental regulation. This mode is further demonstrated through instantiation. In response to the developmental dilemmas of the villages’ overall decline owing to coal mining subsidence on the Weibei Plateau, an integrated transformation plan for production, living, and ecological spaces is formulated, based on which the stage-specific focuses are clarified in the holistic governance path of “space-capital-subject”. The research findings exemplify the application value and feasibility in regulating element relationships and balancing multiple benefits and can provide a reference at the spatial level to promote rural sustainable development through ecological governance.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 1","pages":"Pages 224-247"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.foar.2024.06.010
Jae Min Lee
This study explores a new public space performance measure by integrating public space and walking research to examine the relationship between pedestrian traffic volume and social activity intensity in parks and plazas. Introducing the entry-exit correlation coefficient (EEC), the study utilized bootstrap resampling methods to analyze data and compare to 59 manual observations. Findings reveal a statistically significant negative relationship between EEC and social activities, with a coefficient of −0.2. Lower EEC values, indicating closer correlation between entry and exit, were associated with increased social activities in Dilworth Park. The high synchronization observed between EEC and social activities underscores the potential of EEC as a complementary tool to manual observation in public space research. Additionally, the study emphasizes the importance of considering thermal comfort in monitoring public spaces using EEC. While the study focused on a single case study, its results lay the groundwork for future research to apply automated pedestrian counting and EEC as performance measurements for public spaces.
{"title":"Exploring entry-exit correlation coefficient (EEC) as new quantitative social activities performance measurement of public space: The case of Dilworth Park, Philadelphia","authors":"Jae Min Lee","doi":"10.1016/j.foar.2024.06.010","DOIUrl":"10.1016/j.foar.2024.06.010","url":null,"abstract":"<div><div>This study explores a new public space performance measure by integrating public space and walking research to examine the relationship between pedestrian traffic volume and social activity intensity in parks and plazas. Introducing the entry-exit correlation coefficient (EEC), the study utilized bootstrap resampling methods to analyze data and compare to 59 manual observations. Findings reveal a statistically significant negative relationship between EEC and social activities, with a coefficient of −0.2. Lower EEC values, indicating closer correlation between entry and exit, were associated with increased social activities in Dilworth Park. The high synchronization observed between EEC and social activities underscores the potential of EEC as a complementary tool to manual observation in public space research. Additionally, the study emphasizes the importance of considering thermal comfort in monitoring public spaces using EEC. While the study focused on a single case study, its results lay the groundwork for future research to apply automated pedestrian counting and EEC as performance measurements for public spaces.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 1","pages":"Pages 20-31"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates the air movement preference of males and females after moderate-intensity exercise. 35 participants dressed in 0.6 clo exercised for 15 min in a room at 30 °C and then entered another room at 24 °C/26 °C/28 °C. During the experiment, participants were able to adjust the fan speed according to their own thermal comfort needs. The results indicate that after a change in metabolic rate, female prefer higher fan usage and greater air movement compared to males. When the body returns to thermal comfort, male have higher fan usage and prefer higher air movement than female. There were no difference in subjective evaluation and skin temperature between female and male. However, the skin evaporative heat loss of female was significantly lower than that of male. The correlation between air temperature, air speed and the time after entering the room tailored to the thermal requirements of distinct genders following moderate-intensity exercise has been established, which can provide a comprehensive control strategy for achieving both comfortable and energy-efficient thermal environments.
{"title":"Gender differences in air movement preference after moderate-intensity exercise","authors":"Shiwu Zhang , Shengkai Zhao , Zhen Sun , Yongchao Zhai","doi":"10.1016/j.foar.2024.06.008","DOIUrl":"10.1016/j.foar.2024.06.008","url":null,"abstract":"<div><div>This study investigates the air movement preference of males and females after moderate-intensity exercise. 35 participants dressed in 0.6 clo exercised for 15 min in a room at 30 °C and then entered another room at 24 °C/26 °C/28 °C. During the experiment, participants were able to adjust the fan speed according to their own thermal comfort needs. The results indicate that after a change in metabolic rate, female prefer higher fan usage and greater air movement compared to males. When the body returns to thermal comfort, male have higher fan usage and prefer higher air movement than female. There were no difference in subjective evaluation and skin temperature between female and male. However, the skin evaporative heat loss of female was significantly lower than that of male. The correlation between air temperature, air speed and the time after entering the room tailored to the thermal requirements of distinct genders following moderate-intensity exercise has been established, which can provide a comprehensive control strategy for achieving both comfortable and energy-efficient thermal environments.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 1","pages":"Pages 198-209"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-18DOI: 10.1016/j.foar.2024.09.002
Yixing Duan, Da Lu, Lanchun Bian
Science and technology innovation has become the core driving force of urban development, and innovation spaces as the carriers of innovation activities have evolved continuously, forming the emerging model of innovation districts in recent years. However, the evaluation standard of innovation spaces has not changed with the evolution of the model, and the evaluation method that focuses on economic benefits still dominates the mainstream. As a result, the construction of innovation spaces around these indicators and guidelines lags behind the advanced level.
In this paper, we have systematically sorted out the relevant research progress of innovation districts, established a set of cases with global typicality, combined the dual attributes of “innovation characteristics + urban characteristics,” constructed a research framework for the spatial quality of innovation districts based on the dual perspectives of “innovation space,” and summarized the spatial quality evaluation model through analysis. We do an empirical study on Haidian District to find out how well innovation districts work in terms of space, find typical clusters, and come up with the most important aspects of their space quality. In order to observe the applicability of this method, it is also applied to the urban health check-up in Chaoyang District, Beijing. Through the expert seminar, the evaluation and analysis method of spatial quality of innovative urban areas is further verified and discussed. The results show that the integration of innovative urban areas and urban structures, and the collaborative development of innovative industries and high-quality spaces are the keys to promote the common development of innovative economy and cities. The new evaluation method can effectively measure the quality of innovation spaces, and has certain transferability.
{"title":"New method of evaluating spatial quality for innovation districts: A case study of Haidian and Chaoyang districts, Beijing","authors":"Yixing Duan, Da Lu, Lanchun Bian","doi":"10.1016/j.foar.2024.09.002","DOIUrl":"10.1016/j.foar.2024.09.002","url":null,"abstract":"<div><div>Science and technology innovation has become the core driving force of urban development, and innovation spaces as the carriers of innovation activities have evolved continuously, forming the emerging model of innovation districts in recent years. However, the evaluation standard of innovation spaces has not changed with the evolution of the model, and the evaluation method that focuses on economic benefits still dominates the mainstream. As a result, the construction of innovation spaces around these indicators and guidelines lags behind the advanced level.</div><div>In this paper, we have systematically sorted out the relevant research progress of innovation districts, established a set of cases with global typicality, combined the dual attributes of “innovation characteristics + urban characteristics,” constructed a research framework for the spatial quality of innovation districts based on the dual perspectives of “innovation space,” and summarized the spatial quality evaluation model through analysis. We do an empirical study on Haidian District to find out how well innovation districts work in terms of space, find typical clusters, and come up with the most important aspects of their space quality. In order to observe the applicability of this method, it is also applied to the urban health check-up in Chaoyang District, Beijing. Through the expert seminar, the evaluation and analysis method of spatial quality of innovative urban areas is further verified and discussed. The results show that the integration of innovative urban areas and urban structures, and the collaborative development of innovative industries and high-quality spaces are the keys to promote the common development of innovative economy and cities. The new evaluation method can effectively measure the quality of innovation spaces, and has certain transferability.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"13 6","pages":"Pages 1288-1307"},"PeriodicalIF":3.1,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.foar.2024.02.005
GPS positioning data are increasingly utilized in environmental behavior studies to explore the spatial-temporal behavioral patterns of individuals. However, individuals' stay behavioral pattern and its influencing factors, which are particularly significant for the design and management of scenic architectural complexes, have not been thoroughly examined. Using GPS trajectory data collected from the Palace Museum in Beijing (China), this paper investigated the visitors' stay behavior patterns associated with temporal, spatial, and environmental influencing factors. Types of stay behavior and characteristics of stay in main stay areas were automatically recognized using Python algorithms for further and quantitative analysis. Results showed that visitors' stay time exhibited a consistent pattern regarding psychological time allocation, a relatively unsignificant pattern regarding lunch hour, and no clear pattern regarding fatigue feature. Grouped regression analysis showed positive linear relationships with similar slopes between the average stay length and the number of stay occurrences in each type of stay area. Partial correlation analysis revealed the underlying connection between the impact of seats and greenery on stay behavior. Individually, each of the two environmental elements showed limited effect on stay frequency and stay length, while incorporating greenery into seating areas would notably increase both stay frequency and stay length.
{"title":"Visitors' consistent stay behavior patterns within free-roaming scenic architectural complexes: Considering impacts of temporal, spatial, and environmental factors","authors":"","doi":"10.1016/j.foar.2024.02.005","DOIUrl":"10.1016/j.foar.2024.02.005","url":null,"abstract":"<div><div>GPS positioning data are increasingly utilized in environmental behavior studies to explore the spatial-temporal behavioral patterns of individuals. However, individuals' stay behavioral pattern and its influencing factors, which are particularly significant for the design and management of scenic architectural complexes, have not been thoroughly examined. Using GPS trajectory data collected from the Palace Museum in Beijing (China), this paper investigated the visitors' stay behavior patterns associated with temporal, spatial, and environmental influencing factors. Types of stay behavior and characteristics of stay in main stay areas were automatically recognized using Python algorithms for further and quantitative analysis. Results showed that visitors' stay time exhibited a consistent pattern regarding psychological time allocation, a relatively unsignificant pattern regarding lunch hour, and no clear pattern regarding fatigue feature. Grouped regression analysis showed positive linear relationships with similar slopes between the average stay length and the number of stay occurrences in each type of stay area. Partial correlation analysis revealed the underlying connection between the impact of seats and greenery on stay behavior. Individually, each of the two environmental elements showed limited effect on stay frequency and stay length, while incorporating greenery into seating areas would notably increase both stay frequency and stay length.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"13 5","pages":"Pages 990-1008"},"PeriodicalIF":3.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140758093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.foar.2023.12.003
Location-based social media data provides a new perspective for understanding the relationship between human behavior and urban environments. However, further research is needed to determine the application of cognitive computing in urban environments and physical activities. This study proposes a cognitive computing framework for urban environments and human activities that extracts knowledge from structured and unstructured data through natural language processing and computer vision techniques. This paper utilizes a Naive Bayes Model constructed based on random reviews, as well as semantic segmentation and instant segmentation algorithms based on convolutional neural networks to obtain information about urban environments and human behavior from social media data and other geospatial resources. This study examines the relationship between the urban environment and residents' activity, including spatiotemporal behavior, public sentiment, and physical activity. The study found statistically significant results in subgroup analyses regarding the effects of urban environments on sentiment and physical activity, which also exhibited a strong social gradient consistent with traditional findings. This study validates the feasibility of using cognitive computing based on social media data to explore environmental behaviors, providing technical support for updating health promotion policies.
{"title":"How urban environments affect public sentiment and physical activity using a cognitive computing framework","authors":"","doi":"10.1016/j.foar.2023.12.003","DOIUrl":"10.1016/j.foar.2023.12.003","url":null,"abstract":"<div><div>Location-based social media data provides a new perspective for understanding the relationship between human behavior and urban environments. However, further research is needed to determine the application of cognitive computing in urban environments and physical activities. This study proposes a cognitive computing framework for urban environments and human activities that extracts knowledge from structured and unstructured data through natural language processing and computer vision techniques. This paper utilizes a Naive Bayes Model constructed based on random reviews, as well as semantic segmentation and instant segmentation algorithms based on convolutional neural networks to obtain information about urban environments and human behavior from social media data and other geospatial resources. This study examines the relationship between the urban environment and residents' activity, including spatiotemporal behavior, public sentiment, and physical activity. The study found statistically significant results in subgroup analyses regarding the effects of urban environments on sentiment and physical activity, which also exhibited a strong social gradient consistent with traditional findings. This study validates the feasibility of using cognitive computing based on social media data to explore environmental behaviors, providing technical support for updating health promotion policies.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"13 5","pages":"Pages 946-959"},"PeriodicalIF":3.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139516163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.foar.2024.03.012
Satrio Agung Perwira , Bart Dewancker , Dimas Herjuno
The purpose of this research is to explore how the design of buildings and spaces affects our comfort. The study examines how our visual surroundings and emotional responses are connected. The hypothesis is that people's emotions are influenced by what they see in the buildings, spaces, and furniture around them. Each personality type may have a unique emotional response to their surroundings. The study has three main goals: to analyze the built environment, to assess psychological well-being, and to conduct neuroscience analysis. The built environment analysis is divided into two groups: architecture design analysis and street view design analysis. The psychological well-being analysis identifies three key factors. The neuroscience analysis shows that rectangular shapes combined with linear ornamentation and calming colors create the most comforting building design. The most comfortable street view includes an abundance of greenery with sun-shading effects. In conclusion, the study confirms that architecture affects our emotions. The factors that contribute to our comfort are stored in our mind and body over time. Our mood and emotional state are influenced by what we see in our surroundings. The questionnaire and experiment results support these conclusions.
{"title":"Pilot study of the emotion cognition based on visual experience: A case study of roadside buildings in the Orio-Hibikino area","authors":"Satrio Agung Perwira , Bart Dewancker , Dimas Herjuno","doi":"10.1016/j.foar.2024.03.012","DOIUrl":"10.1016/j.foar.2024.03.012","url":null,"abstract":"<div><div>The purpose of this research is to explore how the design of buildings and spaces affects our comfort. The study examines how our visual surroundings and emotional responses are connected. The hypothesis is that people's emotions are influenced by what they see in the buildings, spaces, and furniture around them. Each personality type may have a unique emotional response to their surroundings. The study has three main goals: to analyze the built environment, to assess psychological well-being, and to conduct neuroscience analysis. The built environment analysis is divided into two groups: architecture design analysis and street view design analysis. The psychological well-being analysis identifies three key factors. The neuroscience analysis shows that rectangular shapes combined with linear ornamentation and calming colors create the most comforting building design. The most comfortable street view includes an abundance of greenery with sun-shading effects. In conclusion, the study confirms that architecture affects our emotions. The factors that contribute to our comfort are stored in our mind and body over time. Our mood and emotional state are influenced by what we see in our surroundings. The questionnaire and experiment results support these conclusions.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"13 5","pages":"Pages 1113-1126"},"PeriodicalIF":3.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Internal migration motivated by access to higher education is a relatively unexplored topic in Colombia, leading to a lack of data on its dimensions, characteristics, and impacts on urban space and the emotional conditions of migrants. For this reason, an academic program of architecture in a public university was selected to comprehend the internal migrations of students, exploring their territorial experiences, living conditions, and social mobility capacity. An exploratory methodology was designed to recognize the phenomenon through a descriptive analysis, utilizing institutional data, surveys, and interviews. The research identifies the primary reasons, barriers, and impacts experienced by the migrant population in Ibagué, Colombia. The study concludes with recommendations pertaining to both institutional and urban planning to address these identified challenges.
{"title":"Internal migrations as phenomenon of social mobility and territorial experience among architecture students, University of Tolima, Ibagué, Colombia","authors":"Luisa Fernanda Ramírez-Lozano, Andrés Ernesto Francel-Delgado","doi":"10.1016/j.foar.2024.04.003","DOIUrl":"10.1016/j.foar.2024.04.003","url":null,"abstract":"<div><div>Internal migration motivated by access to higher education is a relatively unexplored topic in Colombia, leading to a lack of data on its dimensions, characteristics, and impacts on urban space and the emotional conditions of migrants. For this reason, an academic program of architecture in a public university was selected to comprehend the internal migrations of students, exploring their territorial experiences, living conditions, and social mobility capacity. An exploratory methodology was designed to recognize the phenomenon through a descriptive analysis, utilizing institutional data, surveys, and interviews. The research identifies the primary reasons, barriers, and impacts experienced by the migrant population in Ibagué, Colombia. The study concludes with recommendations pertaining to both institutional and urban planning to address these identified challenges.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"13 5","pages":"Pages 1158-1169"},"PeriodicalIF":3.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}