Constructing urban sprawl measurement system of the Yangtze River economic belt zone for healthier lives and social changes in sustainable cities

Lan, Hai; Zheng, Puyang; Liang, Zheng

doi:10.1016/j.techfore.2021.120569

Cited by 14 publications

(11 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To enable sustainable living conditions for their citizens, governments across the world must develop resources to build green, healthy and sustainable infrastructure, especially in urban areas. Prior research recommends the innovative use of technology in planning the locations of new cities (Li et al, 2019), implementing various sustainable development initiatives in urban development (Lan et al, 2021) and developing adequate waste management infrastructure (Ayeleru et al, 2021). Focused research could suggest ways to develop firm resources to provide sustainable solutions to governments undertaking urban development projects.…”

Section: Discussion and Future Research Agendasmentioning

confidence: 99%

A resource‐based view of green innovation as a strategic firm resource: Present status and future directions

et al. 2021

View full text Add to dashboard Cite

Green innovation could become a valuable firm resource for establishing competitive advantage while simultaneously contributing towards sustainable development; in other words, green innovation has the potential to address the dilemma between consuming available resources and preserving them for the future. However, there is a dearth of studies systematically examining the present structure and future scope of research on green innovation as a firm resource. Seeking to explain the sustainable development dilemma of green innovations through the theoretical perspective of the resource‐based view of the firm, we address this gap with a comprehensive bibliometric analysis of 951 relevant articles. The key contributors to the extant literature are recognised with bibliographic coupling, citation analysis and co‐authorship analysis. A co‐citation analysis identifies four major thematic areas of research: green supply chain management, green product design, corporate environmental responsibilities and social sustainability. Further, a dynamic co‐citation analysis tracks the progression of these thematic areas. Content analysis of the thematic areas provides insights into the status of the research domain. This study also contributes to the extant literature by identifying prestigious articles on green innovation as a firm resource, analysing the co‐occurrence of keywords and suggesting future research agendas.

show abstract

Section: Discussion and Future Research Agendasmentioning

confidence: 99%

A resource‐based view of green innovation as a strategic firm resource: Present status and future directions

et al. 2021

View full text Add to dashboard Cite

show abstract

“…erefore, it shows the shortcomings of traditional planning methods, and it is very adaptable to the requirements of complex planning process. is requires the cultural space layout planning to adopt new theories and methods for the preparation and implementation management of cultural space layout planning according to the objective reality of the region and to deal with the relationship between the exibility and rigidity of the planning, dynamic and static, so that the planning has more scienti c operability [4][5][6][7]. For a certain area, there are many feasible urban planning schemes, and it is infeasible and unrealistic for us to nd out these schemes one by one.…”

Section: Introductionmentioning

confidence: 99%

Layout Optimization of Urban Cultural Space Construction Based on Forward Three-Layer Neural Network Model

Zhou

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

The change of urban cultural space layout is a multi-variable, multi-objective, and restricted research process. The optimization of urban cultural space construction and layout is a multi-objective decision-making problem that needs to be solved urgently. Based on the forward three-layer neural network theory, this paper constructs an optimization model for the construction and layout of urban cultural space evaluation of the layout of cultural space. This paper first analyzes the feasibility of combining the forward three-layer neural network model with the optimization and adjustment of cultural space layout structure. Taking the three-layer feedforward network as an example, the structure optimization model based on the forward three-layer neural network is selected, and the established model is used to reflect the internal environment of the objective world. Structure and perform dynamic simulation. In the process of simulation modeling, from the aspects of system description, model structure, logical analysis, reasoning, and interpretation, two effective computer dynamic simulation methods, namely, forward three-layer neural network model and system dynamics SD model, were carried out for theoretical comparison and identification. The experimental results show that the feasibility and calculation error of the application of the optimization model are relatively good, reaching 0.897 and 6.21%, respectively. The number of newly added cultural spaces and the expansion speed show an increasing trend, expanding at an average annual speed of about 35 km2, effectively increasing the quality of regional planning and construction layout.

show abstract

“…Wang et al (2020) measured the level of urban sprawl in China at three levels: urban land area, population, and population density before and after sprawl. Clearly, none of the above methods is sufficient to fully characterize the low density and spatial dispersion that characterize urban sprawl (Lan et al, 2021). Furthermore, statistical data continue to have limitations, such as inconsistencies in the scope or calibre of statistics, administrative unit limitations, and time lags.…”

Section: Measurement Of Urban Sprawlmentioning

confidence: 99%

The impact of urban sprawl on green total factor productivity: A spatial econometric analysis in China

Liu

Wu²

2023

Front. Environ. Sci.

View full text Add to dashboard Cite

The rapid expansion of Chinese cities has led to serious urban productivity and eco-environment changes, and has therefore attracted considerable international academic attention. The main objective of this study is to investigate the theoretical mechanisms and practical effects of urban sprawl on green total factor productivity (GTFP), in order to provide a reference for optimizing the spatial layout of cities and promoting high-quality economic development. Realistic urban land area and population characteristics are extracted using DMSP/OLS and NPP/VIIRS nighttime lighting data, and LandScan global population dynamics statistics to measure the urban sprawl index. GTFP is measured using a super-SBM model that considers undesirable output. Based on the panel data of Chinese cities from 2006 to 2020, a spatial Durbin model was constructed to carry out the empirical analysis. The results show that, overall, urban sprawl in China is detrimental to its own GTFP, while contributing to the GTFP of neighboring cities. The impacts of urban sprawl vary markedly across cities of different sizes and across regions.

show abstract

Constructing urban sprawl measurement system of the Yangtze River economic belt zone for healthier lives and social changes in sustainable cities

Cited by 14 publications

References 46 publications

A resource‐based view of green innovation as a strategic firm resource: Present status and future directions

A resource‐based view of green innovation as a strategic firm resource: Present status and future directions

Layout Optimization of Urban Cultural Space Construction Based on Forward Three-Layer Neural Network Model

The impact of urban sprawl on green total factor productivity: A spatial econometric analysis in China

Contact Info

Product

Resources

About