The adaptive efficiency of land use planning measured by the control of urban sprawl. The cases of the Netherlands, Belgium and Poland

Halleux, Jean-Marie; Marcińczak, Szymon; Krabben, Erwin van der

doi:10.1016/j.landusepol.2012.01.008

Cited by 157 publications

(87 citation statements)

References 49 publications

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“…Halleux (2005) identified that between 1971 and 2001, suburban municipalities experienced a significant level of residential development with a 22.6% increase in their population. The density of infrastructures combined with a loose legal planning framework is probably a key element in explaining the strength of sprawl in Belgium (Halleux, 2012).…”

Section: General Methodology and Study Areamentioning

confidence: 99%

Characterising the Morphology of Suburban Settlements: A Method Based on a Semi-automatic Classification of Building Clusters

Smet

Teller

2015

Landscape Research

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Urban sprawl is transforming our landscapes and rural areas at a spectacular pace.Measuring the strength of the phenomenon and proposing dynamic ways to delineate suburban areas have been the object of much debate amongst scientists. The present article takes the view that, beyond measuring and delineating suburban areas, more efforts should be directed to qualifying the morphology of built settlements within these areas. Therefore it proposes a method based on a semi--automatic classification system of building clusters, designed to describe and interpret the phenomenon from a morphological perspective. This method is based on a combination of field surveys with numerical analyses of digital land cadastre maps. The application of this classification system to the suburban area around Liege reveals that, far from developing in a complete indifference of local conditions, contemporary suburban settlements are influenced by landscape structures inherited from the past.

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Section: General Methodology and Study Areamentioning

confidence: 99%

Characterising the Morphology of Suburban Settlements: A Method Based on a Semi-automatic Classification of Building Clusters

Smet

Teller

2015

Landscape Research

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“…Many scholars have subsequently applied a DEA model to examine urbanization efficiency represented by the total factor productivity (TFP) [17,18] or single factor productivity such as land [19]. They have attempted to achieve advances in areas such as index system establishment and model refinement [8,17], identify influence factors [20], and determine the evolution trend of urbanization efficiency [21].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Dynamics of Beijing’s Urbanization Efficiency from 2005 to 2014

Gao

Zhang

2017

Sustainability

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Abstract:In the context of Beijing's accelerated economic growth, a high urbanization rate and associated urban problems pose challenges. We collected panel data for the period 2005-2014 to examine the relationship between Beijing's urbanization efficiency and economic growth rate as well as its spatial patterns of dynamic and static urbanization efficiency. Specifically, we developed a comprehensive index system for assessing Beijing's economic growth rate and urbanization efficiency at the district (county) level. Economic level was selected as an indicator of the economic growth rate. Economic urbanization and consumption levels were selected as indicators of urbanization efficiency. We applied a sequential Malmquist total factor productivity index to estimate the dynamic urbanization efficiency and economic growth rate at the district/country level from 2005 to 2014. We measured Beijing's static urbanization efficiency in 2014 using a data envelopment analysis model and assessed its spatiotemporal dynamics and urbanization efficiency pattern using a Getis-Ord General G i index. The results indicated an overall average increase of 1.07% in the total factor urbanization efficiency (TFUE), with an average value of 0.91, while the total factor economic growth rate (TFEE) remained stable at an average value of 0.979. The low TFUE level evidently continues to significantly constrain TFEE. Both TFUE and TFEE levels in the Capital Function Core (CFC) area were significant, exhibiting high inputs and outputs, while these levels in the Urban Function Development (UFD), City Development Zone (CDZ), and Ecological Conservation Development (ECD) areas were below 1 for most periods, strongly indicating inefficient factor allocation. In view of this spatial pattern, TFUE's regional spatial distribution appears remarkable, showing a decreasing trend from north to south in Beijing, excluding CFC areas. During the period 2005-2014, the CFC area and northeastern Beijing gradually developed into high urbanization efficiency cluster regions. The dominant factors accounting for the difference in total factor productivity indices between TFUE and TFEE were technical change (TC) and scale efficiency change (SEC), and the main factors driving the regional spatial distribution pattern for urbanization efficiency were TC and technical efficiency change (TEC). Accordingly, local governments should promote TC, SEC, and TEC to improve urbanization levels, with optimal strategies entailing strengthening policy support and encouraging investments in technology in UFD, CDZ, and ECD areas. Within Beijing, Dongcheng, Xicheng, Shijingshan, Mentougou, and Yanqing demonstrated effectively balanced static urbanization efficiency levels in 2014, whereas these levels in the city's remaining 11 districts were not optimal, with extensive development. County governments should therefore promote efforts to reduce input redundancy and improve pure technical efficiency to maintain sustainable and steady development.

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“…Faced with the challenges of changing economic growth modes and economic structural adjustment, the past pattern of extensive expansion of construction land has been difficult to continue [8]. Therefore, developing forward-looking policies to control urban sprawl has become a main concern for academia, government agencies and the public [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Sustainability of Land Use Promoted by Construction-to-Ecological Land Conversion: A Case Study of Shenzhen City, China

et al. 2016

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Rapid urbanization and rapid urban growth present great challenges to the sustainable utilization of land resources. This paper discusses the on-going process of construction-to-ecological land conversion (CELC) in terms of three aspects: land use, environmental effects, and system responses. CELC is compared to other current land conversion strategies in China. Taking Shenzhen City as an example, this paper introduces five areas in which CELC has been implemented since 2009, including basic farmland protection zones, mining areas, ecological corridors, inefficient industrial zones, and urban villages. This paper argues that Shenzhen's CELC model can improve the ecological environment, control urban sprawl, and promote sustainable land use and, thus, serve as an example for other cities in China.

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The adaptive efficiency of land use planning measured by the control of urban sprawl. The cases of the Netherlands, Belgium and Poland

Cited by 157 publications

References 49 publications

Characterising the Morphology of Suburban Settlements: A Method Based on a Semi-automatic Classification of Building Clusters

Characterising the Morphology of Suburban Settlements: A Method Based on a Semi-automatic Classification of Building Clusters

Spatiotemporal Dynamics of Beijing’s Urbanization Efficiency from 2005 to 2014

Sustainability of Land Use Promoted by Construction-to-Ecological Land Conversion: A Case Study of Shenzhen City, China

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