Monitoring land take by point sampling: Pace and dynamics of urban expansion in the Metropolitan City of Rome

Quatrini, Valerio; Barbati, Anna; Carbone, Francesco; Giuliarelli, Diego; Russo, D.; Corona, Piermaria

doi:10.1016/j.landurbplan.2015.06.012

Cited by 14 publications

(4 citation statements)

References 44 publications

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“…A variety of research methods are adopted in the existing papers, including three types based on change characteristics analysis, interaction mechanism analysis, and simulation analysis. (1) Spatial patterns of urban construction land change in urban agglomerations are analyzed relying on expansion intensity indexes [69], GIS tools and landscape analysis [70], point sampling [71], Dyna-CLUE land use change model [72]. The factors influencing urban construction land change in urban agglomerations are studied based on regression models, correlation coefficients, spatial regression tree models [73], PSR model [74,75], Markov model [76], Stochastic Forest model [77], Bayesian model [78], Support Vector Machines and Artificial Neural Networks [79], bi-level cellular agent-based model [80], geographically weighted regressions [81], GeoDetector [82,83], and other methods.…”

Section: Methodsmentioning

confidence: 99%

Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China

2022

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The urban construction land change is the most obvious and complex spatial phenomenon in urban agglomerations which has attracted extensive attention of scholars in different fields. Yangtze River Delta Urban Agglomeration is the most mature urban agglomeration in China, a typical representative in both China and the world. This paper analyzes the evolution dynamic, effect and governance policy of urban construction land in Yangtze River Delta Urban Agglomeration 2011–2020 using a combination of BCG model, decoupling model and GIS tools. The findings are as follows. (1) There are large intercity differences in urban construction land in urban agglomerations, but the spatial heterogeneity is gradually decreasing. (2) The change trends and evolution patterns of urban construction land in urban agglomerations are increasingly diversified, with emergence of a variety of types such as rapid growth, slow growth, inverted U-shape, stars, cows, question and dogs. (3) The population growth, economic development and income improvement corresponding to the change of urban construction land in urban agglomerations have no desirable effect, with most cities in the expansive negative decoupling state. (4) The decoupling types show increasingly complex changes, in evolution, degeneration and unchanged states. Affected by economic transformation and the outbreak of COVID-19, an increasing number of cities are in strong negative decoupling and degeneration states, threatening the sustainable development of urban agglomerations. (5) Based on the division of urban agglomerations into three policy areas of Transformation Leading, Land Dependent, and Land Reduction, the response strategies for each are proposed, and a differentiated land use zoning management system is established.

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Section: Methodsmentioning

confidence: 99%

Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China

2022

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“…Therefore, when adjusting the industrial structure, it’s crucial to ensure that there are sufficient land resources available. If not, the upgrading of the industrial structure may be inhibited (Valerio et al, 2015; Wolfersberger et al, 2015). Furthermore, during the process of manufacturing industry transfer, differential land benefits in urban areas can lead to concentration of various spatial economic elements in the city center.…”

Section: Theoretical Mechanismmentioning

confidence: 99%

Does Manufacturing Transfer Improved Land Use Efficiency?

Han,

Jiang,

Sun

2024

Sage Open

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This paper aims to investigate the relationship between manufacturing industry transfer and land use efficiency in china. Our study found that industrial transfer does not have a significant impact on land use efficiency in the full sample. However, when differentiating between the direction of manufacturing transfer, we found that in areas where manufacturing moves out, it inhibits land use efficiency significantly. Whereas in areas where manufacturing moves in, it has no significant impact on land use efficiency. We further analyzed the impact of manufacturing adjustment range and adjustment quality on land use efficiency. The results show that manufacturing structure adjustment has a positive impact on land use efficiency in the full sample and manufacturing immigration areas. In manufacturing emigration areas, manufacturing adjustment quality inhibits land use efficiency significantly, while manufacturing adjustment range improves land use efficiency significantly. Based on these findings, we suggest some policy recommendations to improve land use efficiency through manufacturing transfer.

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“…Thus, more attention should be paid to the drastic expansion of urbanization. Many studies have been conducted worldwide [1], including in regions of Africa [10], Europe [11], Latin America [12], North America [13], and Asia [14][15][16]. Previous studies have also explored the mechanisms of many cities, population and income related to urban and transforming in the process of modernization.…”

Section: Introductionmentioning

confidence: 99%

Accelerated Urban Expansion in Lhasa City and the Implications for Sustainable Development in a Plateau City

et al. 2017

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Urbanization challenges regional sustainable development, but a slight expansion mechanism was revealed in a plateau city. We have integrated the urban expansion process and analyzed its determinants in Lhasa (Tibet), and we provide insightful suggestions for urban management and planning for Lhasa. The full continuum of the urban expansion process has been captured using time-series of high-resolution remote sensing data . Four categories of potential determinants involved in economic, demographic, social, and government policy factors were selected, and redundancy analysis was employed to define the contribution rates of these determinants. The results illustrate that considerable urban expansion occurred from 1990 to 2015 in Lhasa, with the area of construction land and transportation land increasing at rates of 117.2% and 564.7%, respectively. The urban expansion in the center of Lhasa can be characterized as temperate sprawl from 1990 through 2008, primarily explained by governmental policies and investment, economic development, tourist growth, and increased governmental investment resulting in faster urban expansion from 2008 to 2015, mainly occurring in the east, south, and west of Lhasa. In contrast with other cities of China, central government investment and "pairing-up support" projects have played an important role in infrastructure construction in Lhasa. The miraculous development of the tourism industry had prominent effects on this economic development and urbanization after 2006, due to the running of the Tibetan Railway. An integrative and proactive policy framework, the "Lhasa development model", having important theoretical, methodological, and management implications for urban planning and development, has been proposed.

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Monitoring land take by point sampling: Pace and dynamics of urban expansion in the Metropolitan City of Rome

Cited by 14 publications

References 44 publications

Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China

Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China

Does Manufacturing Transfer Improved Land Use Efficiency?

Accelerated Urban Expansion in Lhasa City and the Implications for Sustainable Development in a Plateau City

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