Spatial plans as relational data: Using social network analysis to assess consistency among Bucharest’s planning instruments

Bacău, Simona; Grădinaru, Simona R.; Hersperger, Anna M.

doi:10.1016/j.landusepol.2020.104484

Cited by 21 publications

(4 citation statements)

References 61 publications

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“…In recent years, planning studies have begun to apply network principles to better understand the integration of planning policies [51,52]. The Planning for Resilience Scorecard, for instance, draws a connection between plan integration and community vulnerability to examine the hazard-vulnerable hotspots for better policy attention [5].…”

Section: Empirical Application Of Network Science To Plan Integrationmentioning

confidence: 99%

Planning for Adaptation? Examining the Planning Integration for Hazard Risk Reduction

Wu,

Lyles,

Overstreet

et al. 2024

Sustainability

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Integrated planning—including multiple planning practices for common purposes—is deemed essential for bringing stakeholders together for effective hazard risk reduction. Scholarly attempts to examine if and how distinct plans and planning processes are integrated have ebbed and flowed over time, with a recent resurgence in attention. Utilizing tools from network science, we analyzed four types of planning practices and uncovered considerable variations across local hazard risk-reduction support networks. Our findings reveal that certain communities relied heavily on a few critical actors for risk reduction, making them vulnerable to institutional turbulence. In turn, we point to growing needs for far-reaching and overlapping networks. Our study adds to the literature by integrating multiple planning practices to support more concerted local efforts in hazard risk reduction.

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Section: Empirical Application Of Network Science To Plan Integrationmentioning

confidence: 99%

Planning for Adaptation? Examining the Planning Integration for Hazard Risk Reduction

Wu,

Lyles,

Overstreet

et al. 2024

Sustainability

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“…The space was divided into four categories: urban and rural planning, overall land use planning, main function area planning, and ecological function area planning [116]. The consistency among these programs can provide good support for their functioning [117]. Therefore, the current research on spatial planning in China mainly focuses on the establishment of a spatial planning system that integrates multiple plans [118].…”

Section: Co-citation Analysis (Cnki Database)mentioning

confidence: 99%

Knowledge Map of Spatial Planning and Sustainable Development: A Visual Analysis Using CiteSpace

Zhang

Wang

Xia

et al. 2022

Land

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Spatial planning has become an important measure for countries and regions to promote sustainable development. However, there remains a lack of systematic and quantitative research on spatial planning worldwide. In this study, CiteSpace was used to perform bibliometric analysis and visualization research on the Web of Science core collection and China National Knowledge Infrastructure database. It was found that: (1) The number of papers published in global spatial planning research shows an increasing trend, especially after 2018, with China showing an obvious increasing trend. (2) Globally, the United States has the largest number of relevant research results, and Italy has the most cooperation with other countries. The highest research output is from developed countries, while that of developing countries is relatively weak. (3) There is some intersection among countries, disciplines, and authors but it is not strong, indicating that cooperation should be strengthened. (4) Through keyword cluster, timeline, and time zone analysis, global development can be roughly divided into three stages: the first stage is characterized by the study of spatial planning system theory, the second stage is characterized by building green infrastructure and providing ecological services, and the third stage is characterized by an emphasis on public participation and the establishment of justice mechanisms. China’s development corresponds to three stages: the theory and experience learning stage, the spatial planning system focused on economic development stage, and the integration of multiple plans and the sustainable development exploration stage. (5) There are differences in burst words between the world and China, indicating that there are great differences in research hotspots in different countries’ periods and conditions.

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“…These models pay more attention to the spatial relationships between things, and they have advantages in finding the mechanism of the influence of land price-related factors on land price correlation (Cheng et al, 2020). Social network analysis methods are generally used to discuss the network types and development laws in urban industrial development (Fu, 2021), tourism economic development (Gan et al, 2021), ecological efficiency (Xu et al, 2020), land use efficiency (Xia et al, 2020), spatial planning (Bacău et al, 2020) and other fields in the region, while application to research on real estate prices is relatively rare. In recent years, only a few researchers have used the social network analysis methods to investigate the network structure characteristics of real estate price linkage between cities.…”

Section: Introductionmentioning

confidence: 99%

Exploration of the regional correlation and network structure characteristics of land prices: A case study of Hebei, China

Wei

Duan

et al. 2023

Front. Environ. Sci.

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It is important to explore the correlation characteristics of land markets among cities in order to promote coordinated developments. Based on the residential land prices in 168 counties in Hebei Province, this study used spatial econometric models and social network analysis to analyze the regional correlation effect and network structure evolution characteristics of residential land prices. The results indicated that: 1) the regional residential land price level has significant global spatial autocorrelation and local autocorrelation. High-High clusters were concentrated in cities around Beijing and Tianjin and provincial capitals, while Low-Low clusters were mostly distributed in central and southern Hebei. 2) The direct effect and spillover effect of influencing factors of residential land price were significantly different. The residents’ purchasing power, the socioeconomic level, and the land resources had significant impacts on the residential land price of the county itself, while the level of infrastructure and the policy environment had significant impacts on the residential land price of neighboring counties. 3) The degree centrality and betweenness centrality of residential land price in central counties of Hebei Province was generally high, showing a trend of agglomeration. However, the peripheral cities of Hebei Province lacked important central nodes in the network structure. From 2013 to 2020, increasing numbers of counties had shown the transmission function of “bridge,” and the balance of land price in the whole region had been constantly improved. The study found that the regional residential land price itself had spatial autocorrelation, and the spillover effect of its related factors was also the driving force that affects the transmission and diffusion of land price between counties. The change in the spatial network of county residential land price was primarily manifested in the transmission process starting from the central cities. The tightness of the spatial network was related to the number and distribution of central nodes. Hebei Province should focus on cultivating urban central nodes with development potential in marginal areas, create more land market growth poles according to local conditions, and accelerate the integration of land factor markets in Beijing, Tianjin, and Hebei to achieve healthy and balanced development of residential land prices. This study made up for the shortcomings of previous studies on land price correlations. The combination of correlation feature analysis and spatial network structure analysis was more helpful to reveal the characteristics of regional land price development, and the results could provide a reference for the formulation of urban land market regulation policies.

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Spatial plans as relational data: Using social network analysis to assess consistency among Bucharest’s planning instruments

Cited by 21 publications

References 61 publications

Planning for Adaptation? Examining the Planning Integration for Hazard Risk Reduction

Planning for Adaptation? Examining the Planning Integration for Hazard Risk Reduction

Knowledge Map of Spatial Planning and Sustainable Development: A Visual Analysis Using CiteSpace

Exploration of the regional correlation and network structure characteristics of land prices: A case study of Hebei, China

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