Village Building Research Articles

Creative Practice in a Sustainable Green Village? Connection of Service Design Identity and Pro-Environmental Behavior

Harmonious coexistence between human beings and nature is a priority for the sustainable development of rural communities in the global South, and the cultivation of pro-environmental behaviors in communities based on service design for green village construction is undoubtedly one of the most important initiatives. Starting from the perspective of service design identity of rural community residents, based on the research data of 380 rural community residents in Jiangsu, Zhejiang and Fujian Provinces, the structural equation method and hierarchical regression method were used to explore the factors influencing the pro-environmental behaviors of rural community residents and reveal the mechanism of cultivating pro-environmental behaviors of rural community residents. The results show that: design philosophy identity and design space identity have a significant positive effect on the pro-environmental behavior of rural community residents; Risk identity has a significant negative effect on the pro-environmental behavior of rural community residents; Value perception plays a mediating role in the influence of design philosophy identity, design space identity and risk identity on the pro-environmental behavior of rural community residents, and community interaction plays a moderating role in the influence process. Strengthening the value perception of pro-environmental behaviors among rural community residents is the key to fostering pro-environmental behaviors. This will contribute to the building of green villages where humans and nature coexist in harmony.

Sustainable Spatial Features of Settlements along the Miao Frontier Wall and Miao Frontier Corridor Analyzed through Machine Learning Clustering

This study employed unsupervised machine learning clustering algorithms to systematically analyze the spatial layout characteristics of residential buildings in villages along the Miao Frontier Wall and Miao Frontier Corridor in Western Hunan. The results indicated significant differences between the two regions in terms of the number of building clusters, distribution patterns, and compactness. A comparative analysis of the K-means and DBSCAN algorithms revealed that K-means is more effective in uncovering the internal spatial layout characteristics of settlements. Further analysis showed that villages along the Miao Frontier Wall exhibited greater diversity and complexity, whereas those along the Miao Frontier Corridor demonstrated higher clustering efficiency and denser internal building distribution. These differences can be attributed to variations in historical functions, geographical environments, planning concepts, and social structures. This research uncovers the spatial layout patterns of traditional settlements and proposes a machine learning-based approach to cultural heritage preservation, providing a theoretical foundation for future heritage conservation and spatial optimization, thereby promoting the sustainable development and protection of traditional cultural heritage.

Investigation, Evaluation, and Dynamic Monitoring of Traditional Chinese Village Buildings Based on Unmanned Aerial Vehicle Images and Deep Learning Methods

The investigation, evaluation, and dynamic monitoring of traditional village buildings are crucial for the protection and inheritance of their architectural styles. This study takes traditional villages in Shandong Province, China, as an example, employing UAV images and deep learning technology. Utilizing the YOLOv8 instance segmentation model, it introduces three key features reflecting the condition of traditional village buildings: roof status, roof form, and courtyard vegetation coverage. By extracting feature data on the condition of traditional village buildings and constructing a transition matrix for building condition changes, combined with corresponding manual judgment assistance, the study classifies, counts, and visually outputs the conditions and changes of buildings. This approach enables the investigation, evaluation, and dynamic monitoring of traditional village buildings. The results show that deep learning technology significantly enhances the efficiency and accuracy of traditional village architectural investigation and evaluations, and it performs well in dynamic monitoring of building condition changes. The “UAV image + deep learning” technical system, with its simplicity, accuracy, efficiency, and low cost, can provide further data and technical support for the planning, protection supervision, and development strategy formulation of traditional Chinese villages.

Evaluation of spatial form and activation strategies of traditional villages using spatial information technology

Traditional villages are important carriers of regional cultural inheritance. The challenge of utilizing spatial information technology to protect and preserve the architectural spatial patterns and regional context of traditional villages has attracted significant attention. This study focuses on Biasha Miao village in Guizhou province, China, as the case study. Digital information technology was used to evaluate the architectural spatial texture and typical street space characteristics of different villages. Using the DepthMap model of space syntax and parameters such as integration, average depth value, and connectivity, the article examines the spatial form of traditional villages across three aspects: overall space, street space, and point-like public space. In the end, a spatial activation optimization strategy was proposed. The results showed that the spatial layout of buildings in different villages is closely related to the distribution characteristics of landscape elements such as landform, water system, and farmland, as well as residents’ production, lifestyle, and regional culture. Da village and Zaige new village are well-connected to the main traffic roads connecting them to the outside world, resulting in high spatial permeability and a more extroverted spatial development. Most public spaces are located near the main village road, offering good accessibility, or at the geometric center of the village, where they serve critical roles in cultural display and distribution. This study proposes targeted activation strategies focusing on road traffic, street layout, and spatial nodes to optimize and enhance the spatial quality of traditional villages, improve residents’ living environments, and provide practical guidance for the sustainable development of traditional village spaces.

A study of the seismic resistance performance of strengthened masonry walls using polypropylene mesh-composite on the surface

To investigate the seismic performance of masonry walls in village buildings strengthened with polypropylene mesh materials on the surface, five reduced-scale masonry walls were designed for low-cyclic reversed loading tests. The research observed the failure processes and characteristic forms of masonry walls, conducting a comparative analysis of the hysteresis curves and energy dissipation of the walls. Then, ABAQUS finite element software was used to simulate the performance of the strengthened walls to analyze the damage mode of these walls. The results indicated that under compression-shear loading, unreinforced masonry walls experienced shear failure along horizontal mortar joints, exhibiting lower shear load, lateral stiffness, and ductility. The reinforced walls with polypropylene mesh-composite effectively delayed and mitigated the failure. Weak zones in the wall gradually extended from the structural sides towards the central core area. Ultimately, after the reinforcement material had fully engaged, delamination failure occurred, leading to the formation of "X" or "Y" shaped through cracks. After reinforcement with single-side polypropylene materials, the load-bearing capacity of the wall increased by 165 % compared to the unreinforced wall. The ductility is improved compared to the unreinforced wall, whereas the initial stiffness increased by 133 %. Upon reinforcement with double-sided materials, the wall's load-bearing capacity surged by 180 %. The initial stiffness climbed to 171.3 %. The finite element analysis results closely aligned with the experimental data, suggesting that reinforcing the surface with polypropylene mesh-composite cement mortar significantly bolstered the wall's shear strength and deformation capabilities. This method effectively strengthens the seismic resistance of masonry structures.

Analysis of the influencing factors of the cost of village prefabricated housing in rural revitalization: a southern Shaanxi case study

PurposeUnder the rural revitalization, the effect of China's implementation of rural prefabricated housing is not obvious. Cost has become the biggest obstacle to its development. Therefore, it is necessary to study the factors influencing the cost of prefabricated buildings in villages and clarify the focus of cost control.Design/methodology/approachThis paper focuses on the whole process of prefabricated housing construction in villages in China and uses grounded theory to identify and screen out 27 related factors that affect the construction cost of prefabricated buildings. A system dynamics model is used to dynamically analyze the influencing factors. The engineering examples in rural areas of southern Shaanxi are simulated. Finally, five key factors that influence cost are obtained. Based on this, cost control countermeasures are proposed for rural prefabricated housing in southern Shaanxi.FindingsThe results show that: the key factors affecting the cost of prefabricated buildings in villages include the selection of production methods, the degree of design standardization, the quality of construction personnel, the level of construction technology and the circulation cycle of molds. The cost of prefabricated housing in villages can be controlled through five aspects: mass production of components, design exchange and feasibility analysis, improvement of employee professionalism, strict selection of construction schemes and technologies and improvement of mold turnover rate.Research limitations/implicationsThe system dynamics model applied in this paper is based on the idealized state. The system boundary is narrow and has a certain subjectivity. It needs further detailed research to make it closer to the engineering practice. In addition, this paper applies the rural engineering example in southern Shaanxi to carry out a single case study, and the universality of the research results needs to be further tested. There are many village construction projects and building types, so the research results can be further enriched through large sample research.Practical implicationsRural construction is an important step in the implementation of rural revitalization. Exploring the factors that affect the key costs of prefabricated buildings in villages and towns in view of the particularity of rural areas will help provide a reference for their cost control and help the rural development of prefabricated houses.Social implicationsThe research results of this paper can provide a reference for the development of prefabricated buildings in other rural revitalization areas.Originality/valueDifferent from the traditional research on urban prefabricated buildings, this paper focuses on rural areas and explores the core factors affecting the cost of prefabricated buildings from the micro level. This study establishes a system dynamics model suitable for the cost control of prefabricated housing at the village level and provides methods for its cost control. Based on the identified key factors affecting costs, cost control measures were proposed for prefabricated housing tailored to the unique characteristics of villages.

Research on the Effective Sheltering Rates of Public Buildings in Villages in Western Sichuan, China—A Case Study of Ganbao Tibetan Village

The western region of Sichuan Province, located in the Hengduan Mountains, is one of China’s most seismically active zones. Due to limited land resources, many villages in western Sichuan Province are situated in mountainous and valley areas, facing harsh climatic conditions, lagging economic development, and insufficient infrastructure. After experiencing seismic disasters, these villages often encounter challenges, such as cut-off mountain roads, difficulties in delivering relief supplies, and sharply a significant drop in nighttime temperatures due to the high-altitude climate. Consequently, in the case of the economic underdevelopment and limited resources, how to repurpose existing buildings for disaster relief has become a crucial issue for disaster prevention and mitigation in these villages. This paper takes Ganbao Tibetan Village, located in the alpine gorge regions of western Sichuan Province, as a case study. It evaluates the interior space utilization status of different types of existing public buildings during disasters, calculates the effective utilization rate of interior space disaster reduction conversion based on the spatial layout model, and extracts the typical interior space dimensions that are conducive to disaster relief and conversion of public buildings based on the interior space utilization characteristics of disaster relief. This study provides a reference for the design of public service buildings considering the requirements of disaster resilience transformation.

The Influence of Village Funds, Village Development Quality, and SDGs Achievement on Poverty in Sampang Regency

The paradigm in solving poverty and development problems has always been a crucial discussion among researchers and academics. Poverty is synonymous with lack of income, lack of access to health, low education, and low infrastructure. This is considered a problem in hindering economic growth. This study aims to determine the influence of village funds, the quality of village development, and the achievement of SDGs (quality village education and prosperous healthy villages) on poverty. The research method used is a quantitative method and the type of data used is secondary data taken from the website of BPS Sampang Regency and the Ministry of PDT and Transmigration using cross section data in 2022. The collected data was analyzed using multiple linear regression with variables such as village funds, the building village index (IDM), village education quality, prosperous healthy villages, and poverty. The results of the study found that village funds, the building village index (IDM), and healthy prosperous villages had a significant effect on poverty in Sampang Regency. Meanwhile, quality village education does not have a significant effect on poverty in Sampang Regency.

QUICK ROBUST CLUSTERING USING LINKS (QROCK) UNTUK PENGELOMPOKAN DESA KABUPATEN BANJAR

AbstractAccurate village profile planning needs to be done with mapping based on its characteristics. Village grouping based on the characteristics of village facilities and potential or its characteristics based on the Building Village Index indicator can help determine priorities in village development. In this study, mixed data was used, with numerical data grouping using Hierarchical Agglomerative Nesting (AGNES) algorithm and categorical data with Quick Robust Clustering Using Links (QROCK). The resulting clusters are then combined using the QROCK Ensemble algorithm (algCEBMDC). The data is sourced from the 2021 Village Potential Data Collection (PODES) by the Central Statistics Agency in 277 villages in Banjar Regency, including 18 numerical variables and 29 categorical variables. The results of the study obtained optimal clusters based on the ratio of within-group standard deviation (SW) to between-group standard deviation (SB) resulting in a ratio of 4.82.10-9 with a threshold of 0.4 to 0.9 resulting in 6 clusters. The best cluster results are cluster 4 (4 villages) and cluster 3 (14 villages), then cluster 2 (villages) and cluster 1 (186 villages), and clusters that need development priorities are cluser 5 (2 villages) and cluster 6 (1 village) which are outliers based on processing results. Keywords: Village Grouping, Cluster, AGNES Algorithm, Quick Robust Clustering Using Links (QROCK), AlgCEBMDC

Pengembangan “Desa Wisata Kampung Koi” Latukan sebagai Upaya Penguatan BUMDesa melalui Pengembangan Kelompok Pembudidaya dan BUMDesa Latukan, Kabupaten Lamongan

Latukan Village is one of the villages in Lamongan Regency with Independent Village status in the 2020 Building Village Index (IDM). Independent Village has the highest status in the IDM assessment scale published by the Ministry of Villages. Through the Empowered Village Program, Latukan Village seeks to build a village icon by constructing the Latukan “Koi Village”. However, the complete design concept regarding the development of Latukan Village as a Kampung Koi Tourism Village has not yet been formed optimally. Therefore, it is essential to prepare strategic development steps, which include elements of Koi Fish Cultivation, Post-harvest Management, Transportation, Marketing Management, the establishment of recreational and educational parks, as well as human resource development, in this case, the Koi Fish Cultivator Group and the Harvest Management Group. The solution is to create a development design for the Kampung Koi Tourism Village as part of the BUM Desa business unit. For this reason, the Brawijaya University Community Service team designed an activity to build a stronger and more sustainable Latukan Village Icon. Service activities consist of identifying the status of the problem and planning solutions, forming a koi fish cultivator group and making portable spawning ponds, strengthening the role of BUMDesa, village government, and cultivators through focus group discussions and comparative studies, and koi fish cultivation and breeding training. All activities have been conducted and compiled in scientific publications and mass media. In its implementation, this activity involved five students concentrating on fisheries cultivation and fishery product technology.

The Extraction of Roof Feature Lines of Traditional Chinese Village Buildings Based on UAV Dense Matching Point Clouds

Traditional Chinese buildings serve as a carrier for the inheritance of traditional culture and national characteristics. In the context of rural revitalization, achieving the 3D reconstruction of traditional village buildings is a crucial technical approach to promoting rural planning, improving living environments, and establishing digital villages. However, traditional algorithms primarily target urban buildings, exhibiting limited adaptability and less ideal feature extraction performance for traditional residential buildings. As a result, guaranteeing the accuracy and reliability of 3D models for different types of traditional buildings remains challenging. In this paper, taking Jingping Village in Western Hunan as an example, we propose a method that combines multiple algorithms based on the slope segmentation of the roof to extract feature lines. Firstly, the VDVI and CSF algorithms are used to extract the building and roof point clouds based on the MVS point cloud. Secondly, according to roof features, village buildings are classified, and a 3D roof point cloud is projected into 2D regular grid data. Finally, the roof slope is segmented via slope direction, and internal and external feature lines are obtained after refinement through Canny edge detection and Hough straight line detection. The results indicate that the CSF algorithm can effectively extract the roofs of I-shaped, L-shaped, and U-shaped traditional buildings. The accuracy of roof surface segmentation based on slope exceeds 99.6%, which is significantly better than the RANSAC algorithm and the region segmentation algorithm. This method is capable of efficiently extracting the characteristic lines of roofs in low-rise buildings within traditional villages. It provides a reference method for achieving the high-precision modeling of traditional village architecture at a low cost and with high efficiency.

Virtual and Actual Combination of Memory Reflection: Design Enabling Digital Presentation Path of Cultural Heritage Valve

As an open way for people to share information and pass on heritage's value, based on the variety of the main background and value elements, displaying heritage value has changed from a matter of protecting space and form to a more complicated matter of building social value systems. As an open way for people to share information and pass on cultural heritage's value, based on the variety of the main background and value elements, displaying heritage value has changed from a matter of protecting space and form to a more complicated matter of building social value systems. In order to explore the diversified value of heritage and the way to display design empowerment in the digital age, this study selected the world irrigation project heritage of Sangyuanwei as an example based on the theory of cultural memory and explored four value dimensions of the heritage. It is used to associate material ontological features with subjective emotional memory and to extract the memory picture of village buildings, trade fairs, and business markets. And then, through information visualization, it puts forward the value of a virtual and real symbiosis in a digital creative design scheme. Thus, images and scenes are used to strengthen the relationship between heritage materials, characters, and historical events (activities) and to empower the regional cultural inheritance of Sangyuanwei heritage through creative design. Its purpose is to strengthen the sense of group identity and contribute ideas to solve problems for the restoration and protection of Sangyuanwei heritage.

Research on Digital Protection Strategy of Ancient Village Buildings in Shanxi Province based on Realistic Experience

Research on Digital Protection Strategy of Ancient Village Buildings in Shanxi Province based on Realistic Experience

Diversity of Rock-Inhabiting Fungi in Tarragona Province, Spain.

Rock-inhabiting fungi (RIF) are usually extremely tolerant or extremophilic, as they can survive on natural and artificial rocks despite being exposed to stressful conditions. RIF have serious negative effects on the appearance and cohesion of rocky substrates, causing the alteration and decomposition of building materials, but also on human and animal health, as they can act as opportunistic pathogens. Their identification is therefore of great importance, especially in urban areas. In the present study, culturing techniques for isolating fungi, and a polyphasic taxonomic approach to their identification, were used to assess the diversity of micromycetes that darken the surfaces of buildings in various villages and cities in Tarragona Province (Spain). Sixty-four species of RIF belonging to forty-one genera were identified, including a new genus (Coccodomyces) and the following six new fungal species: Coccodomyces pleiosporus, Exophiala caementiphila, Exophiala multiformis, Neocatenulostroma spinulosum, Neodevriesia longicatenispora, and Paradevriesia holothallica. Thus, we have established that building materials are ecological niches where a high biodiversity of RIF can develop.

High-Resolution Remote Sensing Imagery for the Recognition of Traditional Villages

Traditional Chinese villages, vital carriers of traditional culture, have faced significant alterations due to urbanization in recent years, urgently necessitating artificial intelligence data updates. This study integrates high spatial resolution remote sensing imagery with deep learning techniques, proposing a novel method for identifying rooftops of traditional Chinese village buildings using high-definition remote sensing images. Using 0.54 m spatial resolution imagery of traditional village areas as the data source, this method analyzes the geometric and spectral image characteristics of village building rooftops. It constructs a deep learning feature sample library tailored to the target types. Employing a semantically enhanced version of the improved Mask R-CNN (Mask Region-based Convolutional Neural Network) for building recognition, the study conducts experiments on localized imagery from different regions. The results demonstrated that the modified Mask R-CNN effectively identifies traditional village building rooftops, achieving an of 0.7520 and an of 0.7400. It improves the current problem of misidentification and missed detection caused by feature heterogeneity. This method offers a viable and effective approach for industrialized data monitoring of traditional villages, contributing to their sustainable development.

Policy Formulation Based on Village Development Index (IDM) in East Java Province

The Ministry of Village published Ministerial Regulation (PERMENDES) No. 2 of 2016 regulation, on the subject of Building Village Index. The building village index is an index composite from the social resilience index, economic resilience index, and ecology resilience index. IDM can be used to measure the success of a village in carrying out village development. Status improvement of villages in the Regency/City of East Java is needed, subsequent to IDM results. The purpose of this research is to describe the condition of villages in regencies/cities in East Java based on the three IDM forming indices and to find out the East Java Government’s policy direction in increasing village potential. The research method used is qualitative descriptive with explanatory/naturalistic research. The result show that, in 2019, the majority of villages in the Regency/City Province East Java were developing villages and there were still two very disadvantaged villages. The result of the distribution of the resilience index shows that the social resilience index is the best distribution. It is necessary to have a strategy to achieve the overall development. The East Java Provincial Government provides a strategy for realizing development through village potential, these strategies include, Lumpang Bude, Bumdesa Clinic, Uncle Village, East Java Puspa, Empowered Village, Bank Mushroom Seeds, Sapa Village, and Simanis.
 Keywords: ecological resilience index, economic resilience index, social resilience index, village development index, village status

Experimental Investigation of Compressive Concrete with Different Immersion Times and Its Stochastic Damage Model

Continuous large amounts of precipitation can lead to a rapid increase in the water content of concrete in village building foundations, which can adversely affect the mechanical properties, such as the compressive strength of concrete. There are few experimental studies on the compressive stochastic mechanical properties of concrete in the wet state after considering different soaking times (different water contents and saturations), but there is no corresponding stochastic damage principal structure model. In this study, the mechanical properties of concrete under different immersion times were tested to obtain the mechanical properties of the concrete degradation law, and the random damage intrinsic model of wet concrete was established. The results of this paper were compared with the classical test results from the literature to verify the validity of the model. The results show that the proposed stochastic damage model is able to consider both the effects of the saturation and the damage behavior of wet concrete under compression, which is beneficial to the structural design and maintenance protection of village buildings in areas with abundant precipitation.

Research on the Application of 3D Animation Technology in the Digital Reproduction and Brand Image Construction of Guibei Ancient Village Cultural Heritage

Abstract The inheritance and protection of the historical, cultural and folk art values of ancient villages in development are generally carried out in three aspects, namely, architectural elements, landscape elements and living elements. This paper applies a 3D animation scanner to collect the point cloud data of Guibei ancient villages and completes the pre-processing of the point cloud data by using the algorithm of SAC-IA coarse alignment + ICP fine alignment for the alignment. After that, the Poisson equation is optimized by using Gaussian filtering to realize the point cloud surface reconstruction of Guibei village buildings, and the cultural information texture extracted by the K-Means clustering algorithm is mapped to realize the digital reproduction of the cultural heritage of ancient villages in the Guibei. On this basis, the cultural brand image of Guibei ancient villages is constructed from multiple perspectives by collecting tourists’ cognitive data about them. The accuracy of the established 3D animation model is as low as 88.02% and as high as 97.21%, the total fluctuation of completeness ranges from 84.93% to 96.43%, and the time used for modeling basically stays below 2.9h. It has a high awareness of its natural landscape (26.44%), humanistic landscape (37.33%), folk culture (20.57%), service facilities (9.23%), characters (4.40%), and specialty food (2.03%). The study provides a theoretical and practical foundation for communicating images of ancient villages.

공공지원형 마을만들기와 장소판매

Among the forms of village building, 'publicly supported village building' led by local governments and the government has been most actively promoted in the last two decades. This paper points out that publicly supported village building projects have been conducted under the premise of competition and self-reliance, and takes Dakbad-gol in the western part of Busan as a case study of a village's changing sense of place. Since the late 2000s, Busan has not only been carrying out its own local government-level village creation programs such as 'Sanbok- doro Renaissance' and 'Creating a Happy Village', but it is also the most selected city for the central government's 'Urban Regeneration New Deal Project' among metropolitan cities. The village of Dakbad-gol is noteworthy in that it is a place where the local government's village building project and the central government's urban regeneration project have been implemented successively. This paper examines the process by which an ordinary village in a mountain corridor, which was considered one of the backward areas in the city, was selected for publicly supported village building projects by the local and central governments, and used the strategy of selling places, and analyzes the logic and characteristics that contributed to the change.

The evaluation of village building program/thematic real work lecture (KKNT) MBKM’s implementation at UIN Sunan Kalijaga

This study aims to determine the standards of MBKM Thematic KKN, how the implementation of this program at UIN Sunan Kalijaga, as well as to determine the gap between the existing standards and the form of implementation. This evaluation research uses the descrepancy evaluation model with a descriptive qualitative approach. Data collection in this study used interview techniques, documentation, and was equipped with an open questionnaire. The data sources in this study at the interview stage were 7 resource persons 1 Head of PPM UIN Sunan Kalijaga, 2 Field Supervisor (DPL), 2 heads of Study Programs and 2 students, as well as 33 students as respondents on the open questionnaire instrument. The content validity of the open questionnaire in this study received a value of 0.958, this value was obtained with 5 experts. Observation and documentation are also important data source instruments. Evaluation results in this study are in accordance with existing standards, the village development policy/KKNT for MBKM at UIN Sunan Kalijaga is a derivative policy called KKN conversion. The purpose of this conversion KKN is in line with KKNT, but there are various policy details that are changed according to the situation and conditions of UIN Sunan Kalijaga. The recommendation from this research is that the village development policy/KKNT MBKM can be implemented well in universities but adjusted to the situation and circumstances in each university.