Assessment of industrial land use intensity: A case study of Beijing economic-technological development area

Huang, Deng-Shing; Wan, Wei; Dai, Teqi; Jinshe, Liang

doi:10.1007/s11769-011-0459-z

Cited by 16 publications

(9 citation statements)

References 6 publications

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“…The concept of land use intensity is far from an innovative term and first appeared in David Ricardo’s Land Rent Theory, which is similar to concepts of smart growth, compact city, Infill Development, and Urban Growth Boundary [49]. In China, land use intensity is considered as the national guideline to alleviate the demand for urban land driven by economic and population growth.…”

Section: Discussionmentioning

confidence: 99%

Impact of Land Use on PM2.5 Pollution in a Representative City of Middle China

Yang

Cai

Liang

2017

IJERPH

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Fine particulate matter (PM2.5) pollution has become one of the greatest urban issues in China. Studies have shown that PM2.5 pollution is strongly related to the land use pattern at the micro-scale and optimizing the land use pattern has been suggested as an approach to mitigate PM2.5 pollution. However, there are only a few researches analyzing the effect of land use on PM2.5 pollution. This paper employed land use regression (LUR) models and statistical analysis to explore the effect of land use on PM2.5 pollution in urban areas. Nanchang city, China, was taken as the study area. The LUR models were used to simulate the spatial variations of PM2.5 concentrations. Analysis of variance and multiple comparisons were employed to study the PM2.5 concentration variances among five different types of urban functional zones. Multiple linear regression was applied to explore the PM2.5 concentration variances among the same type of urban functional zone. The results indicate that the dominant factor affecting PM2.5 pollution in the Nanchang urban area was the traffic conditions. Significant variances of PM2.5 concentrations among different urban functional zones throughout the year suggest that land use types generated a significant impact on PM2.5 concentrations and the impact did not change as the seasons changed. Land use intensity indexes including the building volume rate, building density, and green coverage rate presented an insignificant or counter-intuitive impact on PM2.5 concentrations when studied at the spatial scale of urban functional zones. Our study demonstrates that land use can greatly affect the PM2.5 levels. Additionally, the urban functional zone was an appropriate spatial scale to investigate the impact of land use type on PM2.5 pollution in urban areas.

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Section: Discussionmentioning

confidence: 99%

Impact of Land Use on PM2.5 Pollution in a Representative City of Middle China

Yang

Cai

Liang

2017

IJERPH

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“…In this study, UILUE is measured in terms of industrial land output intensity (namely, industrial output per unit area of industrial land). According to the existing studies, UILUE at the provincial level is primarily influenced by capital input, industrial agglomeration, technological improvement, and means of transportation [18][19][20][21][22]. To explore the influence of urbanisation on the spatial pattern of UILUE, this paper uses per-capita GDP (PGDP) and proportion of industrial output (ID) to indicate the degree of capital agglomeration.…”

Section: Datamentioning

confidence: 99%

Evolution of the Spatiotemporal Pattern of Urban Industrial Land Use Efficiency in China

et al. 2018

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Along with the globally increasing concern for environmental sustainability, improving urban industrial land use efficiency (UILUE) is critically important for China's development trajectory. However, the existent studies on UILUE in China are mainly conducted at the provincial level, which significantly undermines their value for tailoring practical policy formulations for lower-level governments. To fill this gap, this paper aims to investigate the spatial and temporal pattern of UILUE in China at the prefectural level, examining the underpinning influential factors for the period 2000-2014. Employing the means of spatial autocorrelation and regression, it is found that UILUE in China has improved significantly over the past decade in general but is also accompanied by significant spatial variations. UILUE is positively related to the agglomeration of industries, labour, capital, and technology, in which technology has fundamental effects upon the other factors. It is suggested to policy makers that government policy interventions should be placed predominantly upon technology regulation, i.e., setting admittance criterion for foreign direct investment (FDI), and industrial investment. For future studies, consistent efforts ought to be exerted to examine UILUE at and even under the prefectural level to achieve better understanding among academics and policy practitioners.

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“…In fact, Beijing has been making efforts to establish a polycentric urban spatial structure by implementing a series of urban plans and related policies, targeting the decentralization of both employment and population [12,13]. Since the economic reforms of the late 1970s, Beijing has issued three comprehensive city plans, with planning periods of 1981-2000, 1991-2010 and 2004-2020 [14,15].…”

Section: Introductionmentioning

confidence: 99%

Monocentric or Polycentric? The Urban Spatial Structure of Employment in Beijing

2015

Self Cite

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Abstract:The spatial structure of Beijing has changed dramatically since the reforms of the late 1970s. It is not clear, however, whether these changes have been sufficient to transform the city's monocentric spatial structure into a polycentric one. This paper uses 2010 enterprise registered data to investigate the spatial distribution of employment in Beijing. Using a customized grid to increase the spatial resolution of our results, we explore the city's employment density distribution and investigate potential employment subcenters. This leads to several findings. First, Beijing still has strong monocentric characteristics; second, the city has a very large employment center rather than a small central business district; third, five subcenters are identified, including four in the suburbs; and fourth, a polycentric model that includes these subcenters possesses more explanatory power than a simple monocentric model, but by only four percentage. We conclude that the spatial structure of Beijing is still quite monocentric, but may be in transition to a polycentric pattern.

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Assessment of industrial land use intensity: A case study of Beijing economic-technological development area

Cited by 16 publications

References 6 publications

Impact of Land Use on PM2.5 Pollution in a Representative City of Middle China

Impact of Land Use on PM2.5 Pollution in a Representative City of Middle China

Evolution of the Spatiotemporal Pattern of Urban Industrial Land Use Efficiency in China

Monocentric or Polycentric? The Urban Spatial Structure of Employment in Beijing

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