Method for Evaluating Urban Building Renewal Potential Based on Multimachine Learning Integration: A Case Study of Longgang and Longhua Districts in Shenzhen DOI Creative Commons

Dengkuo Sun,

Yuefeng Lu, Yong Qin

et al.

Land, Journal Year: 2024, Volume and Issue: 14(1), P. 15 - 15

Published: Dec. 25, 2024

With the continuous advancement of urbanization, urban renewal has become a vital means enhancing functionality and improving living environments. Traditional research primarily focuses on macro level, analyzing regions or units, with limited studies targeting individual buildings. Consequently, unique characteristics specific requirements buildings during have often been overlooked. This study first identified undergoing in Longgang Longhua Districts Shenzhen, China, from 2018 to 2023 using multisource data such as Shenzhen Building Census. A regression analysis based building locational factors was conducted stacking ensemble machine learning model. In addition, were categorized into residential, industrial, commercial types their usage, enabling both overall- category-specific predictions renewal. The results show following: (1) Using prediction multilayer perceptron (MLP) eXtreme Gradient Boosting (XGBoost) base models inputs fusing them an AdaBoost classifier final metamodel, goodness fit overall model increased by 2.19%. (2) achieved accuracy 89.41%. Categorizing projects improved for residential industrial 0.14% 6.13%, respectively. (3) Compared traditional macro-level evaluation methods, experimental this 8.41%, compared single-model approaches planning permit data, 29.11%.

Language: Английский

Urban Renewal Potential of Old Urban Areas in Resource-Based Cities in Developing Countries: A Case Study of Dongsheng District, Ordos, China DOI Creative Commons
Yifan Li, X. Chen,

Junzhe Wan

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(10), P. 3065 - 3065

Published: Sept. 25, 2024

Many developing countries have experienced or are experiencing periods of rapid urbanization, and the sustainable development resource-based cities has increasingly come under spotlight. The extensive mining resources, which once propelled economic growth these cities, enabled continuous construction more urban districts. However, as new districts become favored, old in tend to be overlooked. This neglect becomes particularly pronounced resources start dwindle, with older districts, lack contemporary facilities, declining over time. Dongsheng District, China’s Ordos City, is a prime example this phenomenon. In study, we took District research subject explore renewal potential areas countries. First, constructed an assessment system for evaluating Using ArcGIS, conducted quantitative evaluation spatial distribution indicators system. Second, comparative analysis by juxtaposing derived from current land use historical study area correlations. Third, propose discussing results. found that relation use, residential commercial service likely form high-potential plots. Urban villages often considered high renewal, but areas, they do not always exhibit significant potential. Regarding relationship development, generally shows negative correlation most other specific also show development.

Language: Английский

Citations

2
Assessing urban renewal opportunities by combining 3D building information and geographic big data DOI Creative Commons
Xin Zhao, Nan Xia, Manchun Li

et al.

Geo-spatial Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: July 17, 2024

The assessment of urban renewal (UR) potential aims to prioritize areas for UR, which are essential sustainable revitalization. However, conventional data sources often fall short in encompassing diverse characteristics the evaluation process, such as three-dimensional (3D) building information and intensity human activities. To address this gap, study integrated 3D geographic create a comprehensive set 28 indicators spanning four dimensions: natural environmental conditions, land use, socio-economic factors, conditions. These take into account vertical dimensions, dynamic aspects, fine-scale details. Leveraging existing UR practices positive example, we established an model at street block scale using Presence Background Learning combined with extreme gradient boosting algorithms (PBLXGBoost). Our findings revealed that highest accuracy evaluating industrial was achieved Shenzhen (Fpb_avg = 0.80, RMSEavg 0.21), followed by residential commercial assessments. Conversely, other type exhibit lower accuracy. Street blocks significant predominantly located Bao'an, Longgang, Longhua Districts. Furthermore, employing SHAP elucidate results uncovered intricate hierarchical, positive-negative, overlapping relationships among various factors different types, where big showed strong correlations. methodology proposed enables objective precise assessments potential, offering valuable support practice development.

Language: Английский

Citations

1
Visual Sustainability in Urban Renewal Projects Traditional kut City Center as a Case Study DOI Creative Commons

Rabee J. Khalid,

Abbas Na’im Mohsin

Wasit Journal of Engineering Sciences, Journal Year: 2024, Volume and Issue: 12(1)

Published: Jan. 11, 2024

This research addresses the importance of visual sustainability as an essential element in city centre renewal projects, and its role enhancing quality urban centres, most traditional cities suffer from increasing challenges facing processes due to various interventions, which may lead loss city’s cultural identity. The aims understand how achieve heritage Al Kut a case study impact this on life community interaction.The area was analyzed using SWAT analysis method, addition literature review topic, observation, interviews with key stakeholders involved, existing data documents. concluded that focusing indicators can enhance identity, heritage, aesthetics, cities, results showed positive relationship between clarity environment. Therefore, center requires three main be achieved by sustainable local materials, preserving landmarks, integrating design process participation planning, design, implementation, implementation. Evaluations.

Language: Английский

Citations

0
Evaluation of Urban Public Building Renovation Potential Based on Combination Weight Cloud Model—Case Study in China DOI Creative Commons
Jiaying Zhang, Xisheng Li

Buildings, Journal Year: 2024, Volume and Issue: 14(10), P. 3211 - 3211

Published: Oct. 9, 2024

Currently, urban renovation activities in China are booming. And promoting the of public buildings is a key feature due to its large scale, high cost, and significant impact natural social environment. To reduce ambiguity uncertainty evaluating potential for existing buildings, evaluation model integrating game theory-based combination weighting method cloud theory proposed. This paper constructs comprehensive index system based on relevant standards literature. Game used optimize weights obtained by AHP entropy weight methods obtain combined weight. MATLAB programming calculate parameters therefore generate Graphs. Through case study Nanjing, China, it was demonstrated that can objectively reflect relationship between fuzziness randomness indicators building potential. The visual expression Graphs intuitively magnitude degree results. research result provides useful references sustainable utilization resources era building.

Language: Английский

Citations

0
Method for Evaluating Urban Building Renewal Potential Based on Multimachine Learning Integration: A Case Study of Longgang and Longhua Districts in Shenzhen DOI Creative Commons

Dengkuo Sun,

Yuefeng Lu, Yong Qin

et al.

Land, Journal Year: 2024, Volume and Issue: 14(1), P. 15 - 15

Published: Dec. 25, 2024

With the continuous advancement of urbanization, urban renewal has become a vital means enhancing functionality and improving living environments. Traditional research primarily focuses on macro level, analyzing regions or units, with limited studies targeting individual buildings. Consequently, unique characteristics specific requirements buildings during have often been overlooked. This study first identified undergoing in Longgang Longhua Districts Shenzhen, China, from 2018 to 2023 using multisource data such as Shenzhen Building Census. A regression analysis based building locational factors was conducted stacking ensemble machine learning model. In addition, were categorized into residential, industrial, commercial types their usage, enabling both overall- category-specific predictions renewal. The results show following: (1) Using prediction multilayer perceptron (MLP) eXtreme Gradient Boosting (XGBoost) base models inputs fusing them an AdaBoost classifier final metamodel, goodness fit overall model increased by 2.19%. (2) achieved accuracy 89.41%. Categorizing projects improved for residential industrial 0.14% 6.13%, respectively. (3) Compared traditional macro-level evaluation methods, experimental this 8.41%, compared single-model approaches planning permit data, 29.11%.

Language: Английский

Citations

0