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Book ; Online: Strategies for Sustainable Urban Development-Exploring Innovative Approaches for a Liveable Future

Shen, Liyin / Ochoa, Jorge / Bao, Haijun

2023

Keywords	The arts ; Architecture ; green buildings ; occupant well-being ; healthy buildings ; occupant-orientation ; indoor environment conditions ; residential property ; public transportation ; metro ; rail ; flat ; resource-based city ; green land use efficiency (GLUE) ; carbon emissions ; the Yellow River Basin (YRB) ; multimodal data ; attention mechanisms ; data fusion ; urban planning ; energy consumption ; building energy ; spatial autocorrelation ; multiscale geographically weighted regression (MGWR) ; prefabricated construction ; digital green innovation management ; venture capital ; project partners ; transfer of development rights (TDR) ; land registry ; land management ; preservation of buildings ; historic buildings ; development restriction ; development loss ; floor area ; Turkey ; sustainable urban planning ; digital legislation and policy ; rural digitalization reform ; digital technology ; energy conservation ; extraversion ; green hotel ; past behaviour ; personality traits ; pro-environmental management ; city-county consolidation ; market competition ; earnings management ; urbanization development ; sustainable urban development ; urban resilience ; influencing factors ; Chengdu-Chongqing urban agglomeration ; urban rail transit (URT) ; PPP ; value creation ; grounded theory ; smart home ; secure architecture ; blockchain ; storage efficiency ; IoT ; climate change ; GHG mitigation ; public policy ; enabler networks ; net-zero roadmap ; developing countries ; social network analysis ; COVID-19 ; COVID-19 response policy ; operational restrictions on facilities ; Night-Time Economy (NTE) ; Night-Time Economic Vitality (NTEV) ; credit-card sales ; PLS-SEM (partial least square structural equation modeling) ; formative measurement model ; superblocks urbanism ; gulf urbanization ; street connectivity and efficiency ; walkability ; sustainable urban development policy and practice ; urban vulnerabilities ; vulnerable communities ; multidisciplinary approach ; disciplinary boundaries ; design workshops ; research by design ; Design for Vulnerables ; Krebs cycle design ; generative urban design ; evidence-based design decision-making ; activity-based model ; transit-oriented development ; amenity accessibility ; green roofs ; sustainable urban planning and design ; urban development ; public perception ; urban policy and governance ; Saudi Arabia ; post-occupancy evaluation ; semantic differential method ; sports parks ; real estate enterprise ; digitalization ; operations management ; barriers ; FTA-DEMATEL-ISM ; sustainability ; heritage redevelopment ; participatory design ; public engagement ; community value ; social value ; Faro Convention ; HUL ; heritage ; cognitive mapping ; urban regeneration ; text mining ; keyword network analysis ; students' participation ; social network service ; stakeholder ; Korea ; industrial building renovation ; brownfield buildings ; conflicts ; stakeholders ; n/a ; innovation district ; user preferences ; user-centric planning ; decision makers' perspectives ; urban policy ; Kelvin Grove Urban Village ; Diamantina Knowledge Precinct ; Brisbane Technology Park ; Brisbane ; Australia ; sustainable development ; Central Taiwan Science Park ; green infrastructure ; residents' opinions ; urban ecosystem ; environmental education
Language	English
Size	1 electronic resource (208 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel
Document type	Book ; Online
Note	English
HBZ-ID	HT030377025
ISBN	9783036571591 ; 3036571590
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online: Strategies for Sustainable Urban Development Addressing the Challenges of the 21st Century

Shen, Liyin / Ochoa, Jorge / Bao, Haijun

2023

Keywords	Research & information: general ; green buildings ; occupant well-being ; healthy buildings ; occupant-orientation ; indoor environment conditions ; residential property ; public transportation ; metro ; rail ; flat ; resource-based city ; green land use efficiency (GLUE) ; carbon emissions ; the Yellow River Basin (YRB) ; multimodal data ; attention mechanisms ; data fusion ; urban planning ; energy consumption ; building energy ; spatial autocorrelation ; multiscale geographically weighted regression (MGWR) ; prefabricated construction ; digital green innovation management ; venture capital ; project partners ; transfer of development rights (TDR) ; land registry ; land management ; preservation of buildings ; historic buildings ; development restriction ; development loss ; floor area ; Turkey ; sustainable urban planning ; digital legislation and policy ; rural digitalization reform ; digital technology ; energy conservation ; extraversion ; green hotel ; past behaviour ; personality traits ; pro-environmental management ; city-county consolidation ; market competition ; earnings management ; urbanization development ; sustainable urban development ; urban resilience ; influencing factors ; Chengdu-Chongqing urban agglomeration ; urban rail transit (URT) ; PPP ; value creation ; grounded theory ; smart home ; secure architecture ; blockchain ; storage efficiency ; IoT ; climate change ; GHG mitigation ; public policy ; enabler networks ; net-zero roadmap ; developing countries ; social network analysis ; COVID-19 ; COVID-19 response policy ; operational restrictions on facilities ; Night-Time Economy (NTE) ; Night-Time Economic Vitality (NTEV) ; credit-card sales ; PLS-SEM (partial least square structural equation modeling) ; formative measurement model ; superblocks urbanism ; gulf urbanization ; street connectivity and efficiency ; walkability ; sustainable urban development policy and practice ; urban vulnerabilities ; vulnerable communities ; multidisciplinary approach ; disciplinary boundaries ; design workshops ; research by design ; Design for Vulnerables ; Krebs cycle design ; generative urban design ; evidence-based design decision-making ; activity-based model ; transit-oriented development ; amenity accessibility ; green roofs ; sustainable urban planning and design ; urban development ; public perception ; urban policy and governance ; Saudi Arabia ; post-occupancy evaluation ; semantic differential method ; sports parks ; real estate enterprise ; digitalization ; operations management ; barriers ; FTA-DEMATEL-ISM ; sustainability ; heritage redevelopment ; participatory design ; public engagement ; community value ; social value ; Faro Convention ; HUL ; heritage ; cognitive mapping ; urban regeneration ; text mining ; keyword network analysis ; students' participation ; social network service ; stakeholder ; Korea ; industrial building renovation ; brownfield buildings ; conflicts ; stakeholders ; n/a ; innovation district ; user preferences ; user-centric planning ; decision makers' perspectives ; urban policy ; Kelvin Grove Urban Village ; Diamantina Knowledge Precinct ; Brisbane Technology Park ; Brisbane ; Australia ; sustainable development ; Central Taiwan Science Park ; green infrastructure ; residents' opinions ; urban ecosystem ; environmental education
Language	English
Size	1 electronic resource (222 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel
Document type	Book ; Online
Note	English
HBZ-ID	HT030377013
ISBN	9783036573571 ; 3036573577
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article: The use of digital technologies for landslide disaster risk research and disaster risk management: progress and prospects

Bao, Haijun / Zeng, Canying / Peng, Yi / Wu, Shaohua

Environmental earth sciences. 2022 Sept., v. 81, no. 18

2022

Abstract: In the past few decades, digital technologies have played a more and more important role in landslide disaster risk management. To identify the progress and future directions with regard to the use of digital technologies in landslide disaster risk ... ...

Abstract	In the past few decades, digital technologies have played a more and more important role in landslide disaster risk management. To identify the progress and future directions with regard to the use of digital technologies in landslide disaster risk management, a systematic review of journal papers in the ISI Web of Science is conducted in this study. Findings indicate that in the early phase, landslide risk management research mainly focused on hazard evaluation and zonation. Then, studies about the spatial predictions of landslides and landslide susceptibility appeared. The research scale of landslides is developing from large scale to fine scale. The use of digital technologies in landslides has been widely discussed since 2009. The use of digital technologies has been developing in the directions of deep learning and artificial intelligence. The monitoring means has been gradually developing from high altitude to low altitude and to ground sensors. Processing technologies are the most widely used in landslide disaster risk research, followed by sensing technologies. Different types of digital technologies play different roles in landslide disaster management. Digital technologies account for a low proportion in the mitigation phase, but contribute the most in the disaster preparation phase. In the future, digital technologies can further strengthen mitigation for and responses to landslide disasters. The application of digital technologies in landslide disaster management should gradually adapt to the needs of the vulnerable group. The government should implement differentiated landslide disaster management according to the regional level of economic development and digital technology development. This study not only reviews the state of the latest technology, but also addresses the future trend of research and provides support for scientists and decision-makers involved in landslide disaster management.
Keywords	altitude ; artificial intelligence ; decision making ; disaster preparedness ; economic development ; hazard characterization ; landslides ; risk ; risk management ; systematic review
Language	English
Dates of publication	2022-09
Size	p. 446.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	2493699-6
ISSN	1866-6299 ; 1866-6280
ISSN (online)	1866-6299
ISSN	1866-6280
DOI	10.1007/s12665-022-10575-7
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: How Can Urban Regeneration Reduce Carbon Emissions? A Bibliometric Review

Liu, Yan / Sang, Meiyue / Xu, Xiangrui / Shen, Li Yin / Bao, Haijun

Land. 2023 June 30, v. 12, no. 7

2023

Abstract: As urbanization continues to accelerate worldwide, the consequential rise in CO₂ emissions has caused substantial environmental challenges. Urban regeneration has emerged as a promising approach to reducing carbon emissions and developing low-carbon ... ...

Abstract	As urbanization continues to accelerate worldwide, the consequential rise in CO₂ emissions has caused substantial environmental challenges. Urban regeneration has emerged as a promising approach to reducing carbon emissions and developing low-carbon cities. Even though both urban regeneration and carbon emissions reduction have been researched from various perspectives, a thorough review is still required to completely reveal their multifaceted relationship. Based on 231 papers published between 2001 and 2023, a bibliometric analysis was conducted to understand the overall trajectory and main focus of the existing research. Then, we qualitatively analyzed the main findings from bibliometric results in terms of key regeneration elements, specific regeneration strategies, research methodologies, as well as research trends and agendas. The results indicated that research in this field is gradually becoming more specialized and comprehensive. Buildings and energy have always been two key urban regeneration elements and research hotspots. Additionally, as a systematic project, reducing carbon emissions requires further exploration of other regeneration elements’ contributions and their interactions in the urban system, which needs the corresponding support of more specific regeneration strategies and research methodologies. These findings can advance the development of innovative and impactful pathways for low-carbon oriented urban regeneration, leading ultimately to sustainable cities.
Keywords	bibliometric analysis ; carbon ; carbon dioxide ; energy ; land ; urbanization
Language	English
Dates of publication	2023-0630
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article ; Online
ZDB-ID	2682955-1
ISSN	2073-445X
ISSN	2073-445X
DOI	10.3390/land12071328
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Modelling methane emissions and grain yields for a double-rice system in Southern China with DAYCENT and DNDC models

Guo, Yang / Zhang, Guangbin / Abdalla, Mohamed / Kuhnert, Matthias / Bao, Haijun / Xu, Hua / Ma, Jing / Begum, Khadiza / Smith, Pete

Geoderma. , p.116364-

2023 , Page(s) 116364–

Abstract: Methane (CH₄) is an important greenhouse gas that contributes to climate change and one of its major sources is rice cultivation. The main aim of this paper was to compare two well-established biogeochemical models, namely Daily Century (DAYCENT) and ... ...

Abstract	Methane (CH₄) is an important greenhouse gas that contributes to climate change and one of its major sources is rice cultivation. The main aim of this paper was to compare two well-established biogeochemical models, namely Daily Century (DAYCENT) and DeNitrification-DeComposition (DNDC) for estimating CH₄ emissions and grain yields for a double-rice cropping system with tillage practice and/or stubble incorporation in the winter fallow season in Southern China. Both models were calibrated and validated using field measured data from November 2008 to November 2014. The calibrated models performed effectively in estimating the daily CH₄ emission pattern (correlation coefficient, r = 0.58−0.63, p < 0.001), but model efficiency (EF) values were higher in stubble incorporation treatments, with and without winter tillage (treatments S and WS) (EF = 0.22−0.28) than that in winter tillage without stubble incorporation treatment (W) (EF = −0.06−0.08). We recommend that algorithms for the impacts of tillage practice on CH₄ emission should be improved for both models. DAYCENT and DNDC also estimated rice yields for all treatments without a significant bias. Our results showed that tillage practice in the winter fallow season (treatments WS and W) significantly decreased annual CH₄ emissions, by 13−37% (p < 0.05) for measured values, 15−20% (p < 0.05) for DAYCENT-simulated values, and 12−32% (p < 0.05) for DNDC-simulated values, respectively, compared to no-till practice (treatments S), but had no significant impact on grain yields.
Keywords	climate change ; greenhouse gases ; methane ; no-tillage ; rice ; stubble ; China ; Management practices ; DAYCENT model ; DNDC model ; Double-rice cropping system
Language	English
Publishing place	Elsevier B.V.
Document type	Article ; Online
Note	Pre-press version ; Use and reproduction
ZDB-ID	281080-3
ISSN	1872-6259 ; 0016-7061
ISSN (online)	1872-6259
ISSN	0016-7061
DOI	10.1016/j.geoderma.2023.116364
Database	NAL-Catalogue (AGRICOLA)

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Article: Has the monetary resettlement compensation policy hindered the two-way flow of resources between urban and rural areas?

Bao, Haijun / Xu, Yueling / Zhang, Wenyu / Zhang, Shuai

Land use policy. 2020 Dec., v. 99

2020

Abstract: The reasonable two-way flow of resources between urban and rural areas underlies the processes of urban-rural transformation and rural revitalization in China. The monetary resettlement compensation policy has been formulated to promote this two-way flow ...

Abstract	The reasonable two-way flow of resources between urban and rural areas underlies the processes of urban-rural transformation and rural revitalization in China. The monetary resettlement compensation policy has been formulated to promote this two-way flow through market-oriented measures. This study extends the Theory of Planned Behavior by enhancing the variable of monetary resettlement compensation factor to analyze the behavioral tendencies of house purchase intention of relocated households in Zhejiang Province, China. An empirical analysis through PLS-SEM was conducted on the results obtained from 271 survey responses, and eight hypotheses were verified using SmartPLS 3. The results demonstrate that the monetary resettlement compensation policy may facilitate relocated households’ purchase of houses in urban areas, which is indicative of compensation flowing back from the rural to urban areas through the house purchase behavior. Furthermore, a study on the possible gap between relocated households’ purchase intention and their actual purchase behavior shows that the intention is aligned with actual action. The monetary resettlement compensation policy has thus failed and even hindered the achievement of a reasonable two-way flow of resources between urban and rural areas.
Keywords	empirical research ; land policy ; surveys ; China
Language	English
Dates of publication	2020-12
Publishing place	Elsevier Ltd
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	852476-2
ISSN	0264-8377
ISSN	0264-8377
DOI	10.1016/j.landusepol.2020.104953
Database	NAL-Catalogue (AGRICOLA)

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Article: A Framework for Understanding the Institutional Arrangements of Urban Village Redevelopment Projects in China

Yuan, Dinghuan / Yau, Yung / Bao, Haijun / Lin, Wenyi

Land use policy. 2020 Dec., v. 99

2020

Abstract: Large-scale urban village redevelopment projects (UVRPs) have been implemented in different ways in China in recent years. This study develops an analytical framework for understanding the heterogeneity of institutional arrangements for UVRPs in China. ... ...

Abstract	Large-scale urban village redevelopment projects (UVRPs) have been implemented in different ways in China in recent years. This study develops an analytical framework for understanding the heterogeneity of institutional arrangements for UVRPs in China. The analytical framework is established from the perspective of neo-institutional economics. Decision-making and funding sources are used as two dimensions to classify the institutional arrangements into four categories: top-down with government funding (TGF), top-down with villager funding (TVF), bottom-up with villager funding (BVF) and bottom-up with private developer funding (BPDF). The comparative analysis reveals that the bottom-up institutional arrangement is generally more effective in political persuasion than the top-down one, especially when villagers’ committees (VCs) that are responsible for the project implementation are elected freely and fairly. When incorporating the dimension of funding sources into the analysis, a TVF institutional arrangement is likely to incur higher transaction costs than a TGF institutional arrangement, leading to the project having a longer duration. However, when private developers are allowed to participate and to develop UVRPs, the transaction costs will increase due to opportunism and information asymmetry. Policymakers should play an active role in arbitration as it would effectively mitigate the size of transaction costs used to deal with clashes between VCs, ordinary villagers and private developers. Based on information for 394 UVRPs collected from five coastal cities in Zhejiang province, the research findings reveal that a TVF institutional arrangement, which has the highest transaction costs, is still dominant in China. This may be the result of policy continuity and path dependence. Institutional change is contingent on the relative costs, which are the sum of the transformation costs and the transaction costs. Incremental institutional change, rather than radical institutional change, is more likely to occur in China.
Keywords	asymmetry ; decision making ; land policy ; persuasion ; politics ; villages ; China
Language	English
Dates of publication	2020-12
Publishing place	Elsevier Ltd
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	852476-2
ISSN	0264-8377
ISSN	0264-8377
DOI	10.1016/j.landusepol.2020.104998
Database	NAL-Catalogue (AGRICOLA)

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Article: Modelling methane emissions and grain yields for a double-rice system in Southern China with DAYCENT and DNDC models.

Guo, Yang / Zhang, Guangbin / Abdalla, Mohamed / Kuhnert, Matthias / Bao, Haijun / Xu, Hua / Ma, Jing / Begum, Khadiza / Smith, Pete

Geoderma

2023 Volume 431, Page(s) 116364

Abstract: ... Methane ( ... ...

Abstract	Methane (CH
Language	English
Publishing date	2023-03-15
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	281080-3
ISSN	1872-6259 ; 0016-7061
ISSN (online)	1872-6259
ISSN	0016-7061
DOI	10.1016/j.geoderma.2023.116364
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Machine learning methods for accurately predicting survival and guiding treatment in stage I and II hepatocellular carcinoma.

Li, Xianguo / Bao, Haijun / Shi, Yongping / Zhu, Wenzhong / Peng, Zuojie / Yan, Lizhao / Chen, Jinhuang / Shu, Xiaogang

Medicine

2023 Volume 102, Issue 45, Page(s) e35892

Abstract: Accurately predicting survival in patients with early hepatocellular carcinoma (HCC) is essential for making informed decisions about treatment and prognosis. Herein, we have developed a machine learning (ML) model that can predict patient survival and ... ...

Abstract	Accurately predicting survival in patients with early hepatocellular carcinoma (HCC) is essential for making informed decisions about treatment and prognosis. Herein, we have developed a machine learning (ML) model that can predict patient survival and guide treatment decisions. We obtained patient demographic information, tumor characteristics, and treatment details from the SEER database. To analyze the data, we employed a Cox proportional hazards (CoxPH) model as well as 3 ML algorithms: neural network multitask logistic regression (N-MLTR), DeepSurv, and random survival forest (RSF). Our evaluation relied on the concordance index (C-index) and Integrated Brier Score (IBS). Additionally, we provided personalized treatment recommendations regarding surgery and chemotherapy choices and validated models' efficacy. A total of 1136 patients with early-stage (I, II) hepatocellular carcinoma (HCC) who underwent liver resection or transplantation were randomly divided into training and validation cohorts at a ratio of 3:7. Feature selection was conducted using Cox regression analyses. The ML models (NMLTR: C-index = 0.6793; DeepSurv: C-index = 0.7028; RSF: C-index = 0.6890) showed better discrimination in predicting survival than the standard CoxPH model (C-index = 0.6696). Patients who received recommended treatments had higher survival rates than those who received unrecommended treatments. ML-based surgery treatment recommendations yielded higher hazard ratios (HRs): NMTLR HR = 0.36 (95% CI: 0.25-0.51, P < .001), DeepSurv HR = 0.34 (95% CI: 0.24-0.49, P < .001), and RSF HR = 0.37 (95% CI: 0.26-0.52, P = <.001). Chemotherapy treatment recommendations were associated with significantly improved survival for DeepSurv (HR: 0.57; 95% CI: 0.4-0.82, P = .002) and RSF (HR: 0.66; 95% CI: 0.46-0.94, P = .020). The ML survival model has the potential to benefit prognostic evaluation and treatment of HCC. This novel analytical approach could provide reliable information on individual survival and treatment recommendations.
MeSH term(s)	Humans ; Carcinoma, Hepatocellular/pathology ; Liver Neoplasms/pathology ; Prognosis ; Proportional Hazards Models ; Machine Learning
Language	English
Publishing date	2023-11-02
Publishing country	United States
Document type	Randomized Controlled Trial ; Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000035892
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Mixed probiotics reduce the severity of stress-induced depressive-like behaviors.

Li, Xianguo / Cheng, Xukai / Shi, Yongping / Jian, Chenxing / Zhu, Wenzhong / Bao, Haijun / Jiang, Mi / Peng, Zuojie / Hu, Yuan / Chen, Jinhuang / Shu, Xiaogang

Journal of affective disorders

2024 Volume 355, Page(s) 450–458

Abstract: In recent years, the gut microbiome has gained significant attention in the spheres of research and public health. As a result, studies have increasingly explored the potential of probiotic dietary supplements as treatment interventions for conditions ... ...

Abstract	In recent years, the gut microbiome has gained significant attention in the spheres of research and public health. As a result, studies have increasingly explored the potential of probiotic dietary supplements as treatment interventions for conditions such as anxiety and depression. The present study examined the effect of mixed probiotics (Lacticaseibacillus rhamnosus and Enterococcus faecium) on inflammation, microbiome composition, and depressive-like behaviors in a macaque monkey model. The mixed probiotics effectively reduced the severity of depressive-like behaviors in macaque monkeys. Further, treatment with mixed probiotics gradually increased the abundance of beneficial bacteria in the gut, improving the balance of the gut microbiota. Additionally, macaques treated with the mixed probiotics showed decreased serum levels of inflammatory factors (P < 0.05), an increased rate of L-tryptophan metabolism (P < 0.05), and the restoration of 5-HT and 5-HTP levels (P < 0.05). Correlation analysis confirmed that Lacticaseibacillus and other beneficial bacteria exhibited a negative correlation with inflammation in the body (P < 0.05), and a positive correlation with tryptophan metabolism (P < 0.05). In conclusion, the mixed probiotics effectively restored intestinal homeostasis in macaques and enhanced tryptophan metabolism, ultimately alleviating inflammation and depressive-like behaviors.
MeSH term(s)	Animals ; Tryptophan ; Probiotics/pharmacology ; Probiotics/therapeutic use ; Dietary Supplements ; Inflammation ; Macaca
Chemical Substances	Tryptophan (8DUH1N11BX)
Language	English
Publishing date	2024-03-25
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	135449-8
ISSN	1573-2517 ; 0165-0327
ISSN (online)	1573-2517
ISSN	0165-0327
DOI	10.1016/j.jad.2024.03.117
Database	MEDical Literature Analysis and Retrieval System OnLINE

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