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Jianquan Cheng
Department of Natural Sciences, Manchester Metropolitan University (MMU), Manchester, UK

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Journal article
Published: 02 July 2021 in Journal of Cleaner Production
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The total factor carbon emission performance has been largely used to investigate the effectiveness of climate policies and to support the design of carbon reduction strategies. Despite the important information that this indicator is providing in relation to historical and cross-country trends, no previous studies have been specifically devoted to analyze the persistent and the transient components of the total factor carbon emission performance. By disaggregating the time-variant and the time-invariant elements of the carbon dioxide emission changes, this paper adopts, for the first time, a new methodological approach to decompose the components of the total factor carbon emission performance indicator. Using panel data for selected 30 Chinese provinces for the time-period 1997–2017, this paper combines the environmental production technology, the Shephard distance function, and the stochastic frontier models to measure and investigate the spatio-temporal evolution of the total factor carbon emission performance and to evaluate the effectiveness of Chinese policies. By providing a better understanding of the main drivers of carbon dioxide emission changes, the proposed methodology, is suitable to be replicated across regions and countries, and provides an important opportunity for international comparisons and for the design of coordinated carbon reduction strategies.

ACS Style

Yulan Lv; Jingnan Liu; Jianquan Cheng; Valeria Andreoni. The persistent and transient total factor carbon emission performance and its economic determinants: evidence from China's province-level panel data. Journal of Cleaner Production 2021, 316, 128198 .

AMA Style

Yulan Lv, Jingnan Liu, Jianquan Cheng, Valeria Andreoni. The persistent and transient total factor carbon emission performance and its economic determinants: evidence from China's province-level panel data. Journal of Cleaner Production. 2021; 316 ():128198.

Chicago/Turabian Style

Yulan Lv; Jingnan Liu; Jianquan Cheng; Valeria Andreoni. 2021. "The persistent and transient total factor carbon emission performance and its economic determinants: evidence from China's province-level panel data." Journal of Cleaner Production 316, no. : 128198.

Journal article
Published: 12 February 2021 in Social Science & Medicine
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Understanding the health-related quality of life (HrQoL) of hospitalized COVID-19 survivors is an emerging global challenge arising from the current pandemic. A qualitative study of the experiences of sixteen hospitalized COVID-19 survivors from Nanning City, China, was conducted using semi-structured telephone interviews in May 2020. These first-hand accounts were critically and empirically analysed to identify emerging health and social issues, and provide potential solutions to improve survivors’ quality of life. This in-depth, qualitative study of HrQoL for hospitalized COVID-19 survivors provides the first empirical evidence and conceptual framework with eight dimensions (physical symptoms, anxiety, trauma, economic loss, place-based identity, self-stigma, health self-interventions, and changing lifestyle) for understanding the physiological, psychological, socio-economic and health behavioral aspects of their daily lives. We argue that local and global governments should provide integrated healthcare, social and digital infrastructure to support this vulnerable group. More comparative and multi-disciplinary studies in this area are needed to generate academic standards of assessing health-related quality of life and produce good practice guidelines for promoting urban resilience in response to public health disasters.

ACS Style

Chenhui Wu; Jianquan Cheng; Jun Zou; Lian Duan; Janis E. Campbell. Health-related quality of life of hospitalized COVID-19 survivors: An initial exploration in Nanning city, China. Social Science & Medicine 2021, 274, 113748 -113748.

AMA Style

Chenhui Wu, Jianquan Cheng, Jun Zou, Lian Duan, Janis E. Campbell. Health-related quality of life of hospitalized COVID-19 survivors: An initial exploration in Nanning city, China. Social Science & Medicine. 2021; 274 ():113748-113748.

Chicago/Turabian Style

Chenhui Wu; Jianquan Cheng; Jun Zou; Lian Duan; Janis E. Campbell. 2021. "Health-related quality of life of hospitalized COVID-19 survivors: An initial exploration in Nanning city, China." Social Science & Medicine 274, no. : 113748-113748.

Journal article
Published: 26 May 2020 in Sustainability
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Health and well-being have become important dimensions of urban sustainability, particularly in countries with rapid urbanization and aging populations. As such, providing opportunities for physical activity and exercise has become a priority in the planning and governance of Healthy City in these countries. Relatively little research has investigated the provision of sports facilities in developing countries. This paper seeks to address this gap by exploring the spatial and social inequality of sports facilities at the urban scale using Nanning City in South China as a case study. Spatial aggregate analyses, including an allocation index, accessibility, diversity, and geographically weighted regression, were applied to mixed data sets from primary and secondary sources from 2018. The results confirmed a strong inequality of sports facilities provision across the study area and between age groups. This study suggests that the reduction of inequality and the improvement of equity and social justice should consider the spatial and social matches between demand and supply, through increasing sports facilities investment intensity and road network density.

ACS Style

Jinghong Shen; Jianquan Cheng; Wencong Huang; Fantao Zeng. An Exploration of Spatial and Social Inequalities of Urban Sports Facilities in Nanning City, China. Sustainability 2020, 12, 4353 .

AMA Style

Jinghong Shen, Jianquan Cheng, Wencong Huang, Fantao Zeng. An Exploration of Spatial and Social Inequalities of Urban Sports Facilities in Nanning City, China. Sustainability. 2020; 12 (11):4353.

Chicago/Turabian Style

Jinghong Shen; Jianquan Cheng; Wencong Huang; Fantao Zeng. 2020. "An Exploration of Spatial and Social Inequalities of Urban Sports Facilities in Nanning City, China." Sustainability 12, no. 11: 4353.

Journal article
Published: 02 November 2019 in Applied Sciences
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Scale is a fundamental geographical concept and its role in different geographical contexts has been widely documented. The increasing availability of transport mobility data, in the form of big datasets, enables further incorporation of spatial dependencies and non-stationarity into spatial interaction modeling of transport flows. In this paper a newly developed multiscale flow-focused geographically weighted regression (MFGWR) approach has been applied, in addition to global and local Moran I indices of flow data, to model multiscale socio-economic determinants of regional transport flows between counties across the Jiangsu Province in China. The results have confirmed the power of local Moran I of flow data for identifying urban agglomerations and the effectiveness of MFGWR in exploring multiscale processes of spatial interactions. A comparison between MFGWR and flow-focused geographically weighted regression (FGWR) showed that the MFGWR approach can better interpret the heterogeneous processes of spatial interaction.

ACS Style

Lianfa Zhang; Jianquan Cheng; Cheng Jin; Hong Zhou. A Multiscale Flow-Focused Geographically Weighted Regression Modelling Approach and Its Application for Transport Flows on Expressways. Applied Sciences 2019, 9, 4673 .

AMA Style

Lianfa Zhang, Jianquan Cheng, Cheng Jin, Hong Zhou. A Multiscale Flow-Focused Geographically Weighted Regression Modelling Approach and Its Application for Transport Flows on Expressways. Applied Sciences. 2019; 9 (21):4673.

Chicago/Turabian Style

Lianfa Zhang; Jianquan Cheng; Cheng Jin; Hong Zhou. 2019. "A Multiscale Flow-Focused Geographically Weighted Regression Modelling Approach and Its Application for Transport Flows on Expressways." Applied Sciences 9, no. 21: 4673.

Journal article
Published: 01 October 2019 in Energy Policy
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ACS Style

Yulan Lv; Wei Chen; Jianquan Cheng. Modelling dynamic impacts of urbanization on disaggregated energy consumption in China: A spatial Durbin modelling and decomposition approach. Energy Policy 2019, 133, 110841 .

AMA Style

Yulan Lv, Wei Chen, Jianquan Cheng. Modelling dynamic impacts of urbanization on disaggregated energy consumption in China: A spatial Durbin modelling and decomposition approach. Energy Policy. 2019; 133 ():110841.

Chicago/Turabian Style

Yulan Lv; Wei Chen; Jianquan Cheng. 2019. "Modelling dynamic impacts of urbanization on disaggregated energy consumption in China: A spatial Durbin modelling and decomposition approach." Energy Policy 133, no. : 110841.

Journal article
Published: 05 June 2019 in Sustainability
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Energy intensity reduction has become a constrained target from the 11th five-year plan in China. Energy consumption is expected to increase because of rapid urbanization and economic growth, whereas energy intensity reduction is regarded as a method to alleviate the pressure of growing energy demand. An important contribution of this study is the investigation of urbanization impact on energy intensity across China at the urban level. This research uses a balanced panel data set of 224 cities for the period between 2005 and 2016 and reports deep insights into and innovative findings for the reduction of energy intensity across different regions and cities in China. To examine the direct, indirect, and total effects and regional heterogeneous effects, we employ spatial Durbin models and spatial decomposition techniques. It reveals significant and negative direct effects of urbanization in the western and full regions. However, the indirect and total effects of urbanization are significantly negative in the eastern and western regions. The pressure of urbanization on energy has alleviated and is reversing, especially under the construction of people-oriented and green new-type urbanization. The empirics highlight industrialization as a contributing factor for high energy intensity in the spatial outcomes of regional analysis. The direct effect of per capita GDP supports the existence of the inverted U-shaped relationship between economic development and energy intensity. The study proposes fruitful implications to construct new-type urbanization for energy conservation and sustainable development in China.

ACS Style

Yulan Lv; Wei Chen; Jianquan Cheng. Direct and Indirect Effects of Urbanization on Energy Intensity in Chinese Cities: A Regional Heterogeneity Analysis. Sustainability 2019, 11, 3167 .

AMA Style

Yulan Lv, Wei Chen, Jianquan Cheng. Direct and Indirect Effects of Urbanization on Energy Intensity in Chinese Cities: A Regional Heterogeneity Analysis. Sustainability. 2019; 11 (11):3167.

Chicago/Turabian Style

Yulan Lv; Wei Chen; Jianquan Cheng. 2019. "Direct and Indirect Effects of Urbanization on Energy Intensity in Chinese Cities: A Regional Heterogeneity Analysis." Sustainability 11, no. 11: 3167.

Journal article
Published: 14 May 2019 in Sustainability
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While there has been increasing concern with respect to the sustainable development of “the Belt and Road” region, the majority of studies have focused on economic and environmental dimensions. This paper focuses on the temporal cultural trade network between the 66 countries of this region between 1990 and 2016. A social network analysis method was used to analyze the cultural trade network and its temporal evolution, where results detected key nodes and cultural corridors. Furthermore, the conceptual point-line-polygon model, which summarizes the expansion of such cultural nodes and corridors between 1990 and 2016, reveals the rapid development of cultural exchanges within the region. Here, the varied roles of large and small-sized countries were found to be dominated by China, Russia, and India. While the cultural trade network has promoted the integration of cultural diversity into the global market, to achieve global cultural sustainability more active trading relations with small-sized countries should be encouraged.

ACS Style

Qiao Chen; Jianquan Cheng; Zhiqin Wu. Evolution of the Cultural Trade Network in “the Belt and Road” Region: Implication for Global Cultural Sustainability. Sustainability 2019, 11, 2744 .

AMA Style

Qiao Chen, Jianquan Cheng, Zhiqin Wu. Evolution of the Cultural Trade Network in “the Belt and Road” Region: Implication for Global Cultural Sustainability. Sustainability. 2019; 11 (10):2744.

Chicago/Turabian Style

Qiao Chen; Jianquan Cheng; Zhiqin Wu. 2019. "Evolution of the Cultural Trade Network in “the Belt and Road” Region: Implication for Global Cultural Sustainability." Sustainability 11, no. 10: 2744.

Journal article
Published: 08 May 2019 in ISPRS International Journal of Geo-Information
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Due to the emergence of new big data technology, mobility data such as flows between origin and destination areas have increasingly become more available, cheaper, and faster. These improvements to data infrastructure have boosted spatial and temporal modeling of OD (origin-destination) flows, which require the consideration of spatial dependence and heterogeneity. Both ordinary least square (OLS) and negative binomial (NB) regression methods have been used extensively to calibrate OD flow models by processing flow data as different types of dependent variables. This paper aims to compare both global and local spatial interaction modeling of OD flows between traditional and geographically weighted OLS (GWOLSR) and NB (GWNBR) modeling methods. From this study with empirical data it is concluded that GWNBR outperforms GWOLSR in reducing spatial autocorrelation and in detecting spatial non-stationarity. Although, it is noted that both local modeling methods show improvement when compared against the equivalent global models.

ACS Style

Lianfa Zhang; Jianquan Cheng; Cheng Jin. Spatial Interaction Modeling of OD Flow Data: Comparing Geographically Weighted Negative Binomial Regression (GWNBR) and OLS (GWOLSR). ISPRS International Journal of Geo-Information 2019, 8, 220 .

AMA Style

Lianfa Zhang, Jianquan Cheng, Cheng Jin. Spatial Interaction Modeling of OD Flow Data: Comparing Geographically Weighted Negative Binomial Regression (GWNBR) and OLS (GWOLSR). ISPRS International Journal of Geo-Information. 2019; 8 (5):220.

Chicago/Turabian Style

Lianfa Zhang; Jianquan Cheng; Cheng Jin. 2019. "Spatial Interaction Modeling of OD Flow Data: Comparing Geographically Weighted Negative Binomial Regression (GWNBR) and OLS (GWOLSR)." ISPRS International Journal of Geo-Information 8, no. 5: 220.

Journal article
Published: 01 September 2018 in Habitat International
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Rapid urbanization has led to a massive transformation of urban space in China, spatially and socially. Its higher education has been growing much faster than ever before, along with an explosive increase of university students’ population. Different from the Western universities, a majority of Chinese university students are required to reside in gated campuses. Their accessibilities to public transport and subsequent spatial and social implications have been neglected in the literature. Taking Wuhan city as a case study, this paper aims to examine the public transport service to gated university campuses and its impacts on spatial and social inequalities. The spatial accessibility is measured by four methods: proximity-based, gravity-based, population-weighted average, and competition-based, using population data at residential building level. All the results have confirmed the presence of spatial and social inequalities in public transport accessibility for university campuses and students population. The study has also found that these inequalities are not contributed directly from the provision of public transport services but the closure of gated campus to the external public transport.

ACS Style

Cheng Sun; Jianquan Cheng; Aiwen Lin; Mingjun Peng. Gated university campus and its implications for socio-spatial inequality: Evidence from students' accessibility to local public transport. Habitat International 2018, 80, 11 -27.

AMA Style

Cheng Sun, Jianquan Cheng, Aiwen Lin, Mingjun Peng. Gated university campus and its implications for socio-spatial inequality: Evidence from students' accessibility to local public transport. Habitat International. 2018; 80 ():11-27.

Chicago/Turabian Style

Cheng Sun; Jianquan Cheng; Aiwen Lin; Mingjun Peng. 2018. "Gated university campus and its implications for socio-spatial inequality: Evidence from students' accessibility to local public transport." Habitat International 80, no. : 11-27.

Journal article
Published: 01 June 2018 in Journal of Cleaner Production
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Carbon emissions from the tourism industry are an important measure of the impact tourism has on the environment. Previous studies are predominantly focused on the static estimation of carbon emission from tourism transport. The effective estimation and analysis of carbon emission flows from self-driving tourism, and it’s related determinants, has become increasingly important. Using expressway traffic flow data at the level of toll-gate across Jiangsu Province in China, 2014, this paper has estimated the carbon emission flows from self-driving tourism between counties, analyzed the spatial patterns of its inflow, outflow and net flows, and modelled the determinants of these flows globally and locally using the geographically weighted regression method. The spatial distribution of these flows show high concentration in the South, gradually decreasing to the North. The two geographically weighted regression models demonstrate that the determinants of both inflows (the per capita gross domestic product. and the scenic spot’s score) and outflows (the per capita and total population of permanent residents) indicate spatial non-stationarity across Jiangsu province. The flow perspective and geographically weighted regression methods used in this paper have been proven to be effective in theoretical understanding and methodogical analysis of carbon emission trading. It is concluded that the spatial variation of these determinants has provided important evidence for carbon emission trading at county level. This suggests that local governments should take the variations of per capita gross domestic product, score of attractive spots and total population of permanent residents into the process of estimating carbon emission trading between counties.

ACS Style

Cheng Jin; Jianquan Cheng; Jing Xu; Zhenfang Huang. Self-driving tourism induced carbon emission flows and its determinants in well-developed regions: A case study of Jiangsu Province, China. Journal of Cleaner Production 2018, 186, 191 -202.

AMA Style

Cheng Jin, Jianquan Cheng, Jing Xu, Zhenfang Huang. Self-driving tourism induced carbon emission flows and its determinants in well-developed regions: A case study of Jiangsu Province, China. Journal of Cleaner Production. 2018; 186 ():191-202.

Chicago/Turabian Style

Cheng Jin; Jianquan Cheng; Jing Xu; Zhenfang Huang. 2018. "Self-driving tourism induced carbon emission flows and its determinants in well-developed regions: A case study of Jiangsu Province, China." Journal of Cleaner Production 186, no. : 191-202.

Research article
Published: 22 May 2018 in Urban Studies
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Rapid urbanisation and complexity of political-economic transition in China has brought about continuous and remarkable changes of urban morphology over the past decades, which were driven by a mixture of spatial, social-economic and institutional forces. Understanding such urban morphological evolution requires new mixed evidence and holistic perspectives. In this paper, it is argued that two dominant types of urban growth in China: low-density expansion and high-density infill, might be driven by different forces at different stages. To interpret the processes of urban development, two easy-to-understand morphological indicators: ‘expansion-induced investment density index’ (EID) and ‘infill-induced investment density index’ (IID), are defined to measure the investment density per unit of developed land and used to compare the morphological changes between different phases in a long period by integrating spatial and socio-economic data. The temporal variation of these indicators suggests a cyclic growth model (CGM), which means the periodic switch between low-density expansion and high-density infill. Using Kunming metropolis as a case study, this paper has confirmed that its urban morphological evolution from 1950 to 2014 was periodically and reciprocally driven by a set of vis-à-vis dualistic dynamics, in which low-density expansion is led by pro-growth infrastructure-oriented public investment, while the high-density infill is activated by collective and rational actions of individual enterprises and their economic behaviours. It is concluded that the confirmed CGM model, together with two morphological indicators, offers a new holistic perspective and method to easily and integrally interpret urban morphological evolution and accordingly has potential theoretical implications for reasonably understanding the urbanisation in China.

ACS Style

Qiyan Wu; Jianquan Cheng. A temporally cyclic growth model of urban spatial morphology in China: Evidence from Kunming Metropolis. Urban Studies 2018, 56, 1533 -1553.

AMA Style

Qiyan Wu, Jianquan Cheng. A temporally cyclic growth model of urban spatial morphology in China: Evidence from Kunming Metropolis. Urban Studies. 2018; 56 (8):1533-1553.

Chicago/Turabian Style

Qiyan Wu; Jianquan Cheng. 2018. "A temporally cyclic growth model of urban spatial morphology in China: Evidence from Kunming Metropolis." Urban Studies 56, no. 8: 1533-1553.

Journal article
Published: 30 January 2018 in International Journal of Urban and Regional Research
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An extension of gentrification, jiaoyufication–urban change driven by a desire for high-quality education–is not only displacing previous lower-class residents, but also replacing earlier jiaoyufiers with newcomers, turning formerly blue-collar neighbourhoods into white-collar ones. New middle-class communities are emerging as spatially limited school catchment zones attract social groups who occupy these spaces in an attempt to facilitate social mobility or consolidate social status, causing tension between them. Consequently, jiaoyufication has narrowed down opportunities for intergenerational social mobility and exacerbated social polarization, gradually replacing traditional social hierarchies with intergenerational neoliberal stratification.

ACS Style

Qiyan Wu; Tim Edensor; Jianquan Cheng. Beyond Space: Spatial (Re)Production and Middle-Class Remaking Driven by Jiaoyufication in Nanjing City, China. International Journal of Urban and Regional Research 2018, 42, 1 -19.

AMA Style

Qiyan Wu, Tim Edensor, Jianquan Cheng. Beyond Space: Spatial (Re)Production and Middle-Class Remaking Driven by Jiaoyufication in Nanjing City, China. International Journal of Urban and Regional Research. 2018; 42 (1):1-19.

Chicago/Turabian Style

Qiyan Wu; Tim Edensor; Jianquan Cheng. 2018. "Beyond Space: Spatial (Re)Production and Middle-Class Remaking Driven by Jiaoyufication in Nanjing City, China." International Journal of Urban and Regional Research 42, no. 1: 1-19.

Research article
Published: 21 July 2017 in Journal of Travel Research
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In tourism studies, new means of data collection are opening up opportunities for disclosing hidden mobility patterns. This paper aims to analyze and model the tourist flow networks for different lengths of trip on urban scale, using user generated content (UGC) data collated from an open tourism web service. The textual UGC data, with high spatial and temporal resolution, is utilized to construct three tourist flow networks in response to length of trips. Social network analysis and a revised spatial interaction model are deployed for exploring the temporal heterogeneity in the tourist movements. This empirical study from Nanjing City has further confirmed the power law of distance decay in intraurban tourist mobility. Furthermore, the research reveals temporal variations with length of trip. The paper highlights the role of time in the tourism study through incorporating a temporal dimension into the analyses and taking advantage of the availability of new data.

ACS Style

Cheng Jin; Jianquan Cheng; Jing Xu. Using User-Generated Content to Explore the Temporal Heterogeneity in Tourist Mobility. Journal of Travel Research 2017, 57, 779 -791.

AMA Style

Cheng Jin, Jianquan Cheng, Jing Xu. Using User-Generated Content to Explore the Temporal Heterogeneity in Tourist Mobility. Journal of Travel Research. 2017; 57 (6):779-791.

Chicago/Turabian Style

Cheng Jin; Jianquan Cheng; Jing Xu. 2017. "Using User-Generated Content to Explore the Temporal Heterogeneity in Tourist Mobility." Journal of Travel Research 57, no. 6: 779-791.

Journal article
Published: 01 June 2017 in Habitat International
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ACS Style

Qi Yan Wu; Jianquan Cheng; Craig Young. Social differentiation and spatial mixture in a transitional city - Kunming in southwest China. Habitat International 2017, 64, 11 -21.

AMA Style

Qi Yan Wu, Jianquan Cheng, Craig Young. Social differentiation and spatial mixture in a transitional city - Kunming in southwest China. Habitat International. 2017; 64 ():11-21.

Chicago/Turabian Style

Qi Yan Wu; Jianquan Cheng; Craig Young. 2017. "Social differentiation and spatial mixture in a transitional city - Kunming in southwest China." Habitat International 64, no. : 11-21.

Article
Published: 07 April 2017 in Journal of Geographical Sciences
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China’s economy has undergone rapid transition and industrial restructuring. The term “urban industry” describes a particular type of industry within Chinese cities experiencing restructuring. Given the high percentage of industrial firms that have either closed or relocated from city centres to the urban fringe and beyond, emergent global cities such as Shanghai, are implementing strategies for local economic and urban development, which involve urban industrial upgrading numerous firms in the city centre and urban fringe. This study aims to analyze the location patterns of seven urban industrial sectors within the Shanghai urban region using 2008 micro-geography data. To avoid Modifiable Areal Unit Problem (MAUP) issue, four distance-based measures including nearest neighbourhood analysis, Kernel density estimation, K-function and co-location quotient have been extensively applied to analyze and compare the concentration and co-location between the seven sectors. The results reveal disparate patterns varying with distance and interesting co-location as well. The results are as follows: the city centre and the urban fringe have the highest intensity of urban industrial firms, but the zones with 20–30 km from the city centre is a watershed for most categories; the degree of concentration varies with distance, weaker at shorter distance, increasing up to the maximum distance of 30 km and then decreasing until 50 km; for all urban industries, there are three types of patterns, mixture of clustered, random and dispersed distribution at a varied range of distances. Consequently, this paper argues that the location pattern of urban industry reflects the stage-specific industrial restructuring and spatial transformation, conditioned by sustainability objectives.

ACS Style

Weidong Cao; Yingying Li; Jianquan Cheng; Steven Millington. Location patterns of urban industry in Shanghai and implications for sustainability. Journal of Geographical Sciences 2017, 27, 857 -878.

AMA Style

Weidong Cao, Yingying Li, Jianquan Cheng, Steven Millington. Location patterns of urban industry in Shanghai and implications for sustainability. Journal of Geographical Sciences. 2017; 27 (7):857-878.

Chicago/Turabian Style

Weidong Cao; Yingying Li; Jianquan Cheng; Steven Millington. 2017. "Location patterns of urban industry in Shanghai and implications for sustainability." Journal of Geographical Sciences 27, no. 7: 857-878.

Journal article
Published: 20 August 2015 in Letters in Spatial and Resource Sciences
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Understanding the spatial structure of regional economic development is of importance for regional planning and provincial development strategy making. Taking Jiangsu Province in the economically richest Yangtze Delta as a case study, this paper aims to explore regional economic development level on a provincial scale. Using the data sets from provincial statistical yearbook of 2010, eleven variables are selected for statistical and spatial analyses at a county level. Both the traditional principal component analysis (PCA) and its local version—geographically weighted PCA (GWPCA)—are employed to these analyses for the purpose of comparison. The results have confirmed that GWPCA is an effective means of analyzing regional economic development level through mapping its local principal components. It is also concluded that the regional economic development in Jiangsu Province demonstrates spatial inequality between the North and South.

ACS Style

Zaijun Li; Jianquan Cheng; Qi Yan Wu. Analyzing regional economic development patterns in a fast developing province of China through geographically weighted principal component analysis. Letters in Spatial and Resource Sciences 2015, 9, 233 -245.

AMA Style

Zaijun Li, Jianquan Cheng, Qi Yan Wu. Analyzing regional economic development patterns in a fast developing province of China through geographically weighted principal component analysis. Letters in Spatial and Resource Sciences. 2015; 9 (3):233-245.

Chicago/Turabian Style

Zaijun Li; Jianquan Cheng; Qi Yan Wu. 2015. "Analyzing regional economic development patterns in a fast developing province of China through geographically weighted principal component analysis." Letters in Spatial and Resource Sciences 9, no. 3: 233-245.

Journal article
Published: 19 August 2015 in International Journal for Equity in Health
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The inequities in healthcare services between regions, urban and rural, age groups and diverse income groups have been growing rapidly in China. Equal access to basic medical and healthcare services has been recognized as "a basic right of the people" by Chinese government. Spatial accessibility to healthcare facilities has received huge attention in Chinese case studies but been less studied particularly at a county level due to limited availability of high-resolution spatial data. This study is focused on measuring spatial accessibility to healthcare facilities in Deqing County. The spatial inequity between the urban (town) and rural is assessed and three scenarios are designed and built to examine which scenario is instrumental for better reducing the spatial inequity. This study utilizes highway network data, Digital Elevation Model (DEM), location of hospitals and clinics, 2010 census data at the finest level - village committee, residential building footprint and building height. Areal weighting method is used to disaggregate population data from village committee level to residential building cell level. Least cost path analysis is applied to calculate the travel time from each building cell to its closest healthcare facility. Then an integral accessibility will be calculated through weighting the travel time to the closest facility between three levels. The spatial inequity in healthcare accessibility between the town and rural areas is examined based on the coverages of areas and populations. The same method is used to compare three scenarios aimed at reducing such spatial inequity - relocation of hospitals, updates of weighting values, and the combination of both. 50.03% of residents can reach a county hospital within 15 min by driving, 95.77% and 100% within 30 and 60 min respectively. 55.14% of residents can reach a town hospital within 5 min, 98.04% and 100% within 15 and 30 min respectively. 57.86% of residential building areas can reach a village clinic within 5 min, 92.65% and 99.22% within 10 and 15 min. After weighting the travel time between the three-level facilities, 30.87% of residents can reach a facility within 5 min, 80.46%% and 99.88% within 15 and 30 min respectively. The healthcare accessibility pattern of Deqing County has exhibited spatial inequity between the town and rural areas, with the best accessibility in the capital of the county and poorest in the West of the county. There is a high negative correlation between population ageing and healthcare accessibility. Allocation of more advanced medical and healthcare equipment and highly skillful doctors and nurses to village clinics will be an efficient means of reducing the spatial inequity and further consolidating the national medical security system. GIS (Geographical Information Systems) methods have proven successful method of providing quantitative evidence for policy analysis although the data sets and methods could be further improved.

ACS Style

Cheng Jin; Jianquan Cheng; Yuqi Lu; Zhenfang Huang; Fangdong Cao. Spatial inequity in access to healthcare facilities at a county level in a developing country: a case study of Deqing County, Zhejiang, China. International Journal for Equity in Health 2015, 14, 67 .

AMA Style

Cheng Jin, Jianquan Cheng, Yuqi Lu, Zhenfang Huang, Fangdong Cao. Spatial inequity in access to healthcare facilities at a county level in a developing country: a case study of Deqing County, Zhejiang, China. International Journal for Equity in Health. 2015; 14 (1):67.

Chicago/Turabian Style

Cheng Jin; Jianquan Cheng; Yuqi Lu; Zhenfang Huang; Fangdong Cao. 2015. "Spatial inequity in access to healthcare facilities at a county level in a developing country: a case study of Deqing County, Zhejiang, China." International Journal for Equity in Health 14, no. 1: 67.

Journal article
Published: 08 May 2015 in Sustainability
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China has achieved rapid urbanization and unprecedented economic booming over the past three decades. Numerous cities and towns dreamed of cloning the miracles of Shenzhen and Pudong, Shanghai, in terms of their international development. However, inappropriate development strategies have meant that the majority of fast expanding urban suburbs or newly developed towns suffer a high ratio of vacant dwellings in real estate markets and a massive loss of farmland. The frequent exposure of these empty cities to mass media or the public has urged urban governments to impose fiscal austerity. These unexpected and negative consequences of urban development have explicit conflicts with sustainability. This paper aims to provide a political economy view of these unsustainable outcomes of new development. To achieve this, the processes and agendas of new city or town planning in Wujin District, Changzhou City, are analyzed and evaluated from the perspective of scale theory. Extensive interviews conducted with local politicians at different levels, planners, real estate agents and local residents facilitate the interpretation of these processes and agendas. It is argued that the legends of Shenzhen and Pudong, Shanghai originate from a modified neoliberal capitalism intervention at the right time and place, with which other peer cities are not comparable. It is concluded that the scaling-up strategy is not appropriate for the local new town development of Wujin, which has led to unsustainable outcomes—empty cities and towns—and created important lessons for the sustainable development of Chinese cities.

ACS Style

Hao Chen; Qiyan Wu; Jianquan Cheng; Zhifei Ma; Weixuan Song. Scaling-up Strategy as an Appropriate Approach for Sustainable New Town Development? Lessons from Wujin, Changzhou, China. Sustainability 2015, 7, 5682 -5704.

AMA Style

Hao Chen, Qiyan Wu, Jianquan Cheng, Zhifei Ma, Weixuan Song. Scaling-up Strategy as an Appropriate Approach for Sustainable New Town Development? Lessons from Wujin, Changzhou, China. Sustainability. 2015; 7 (5):5682-5704.

Chicago/Turabian Style

Hao Chen; Qiyan Wu; Jianquan Cheng; Zhifei Ma; Weixuan Song. 2015. "Scaling-up Strategy as an Appropriate Approach for Sustainable New Town Development? Lessons from Wujin, Changzhou, China." Sustainability 7, no. 5: 5682-5704.

Journal article
Published: 13 March 2015 in Sustainability
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Modeling thermal comfort provides quantitative evidence and parameters for effective and efficient urban planning, design, and building construction particularly in a dense and narrow inner city, which has become one of many concerns for sustainable urban development. This paper aims to develop geometric and mathematical models of wind and thermal comfort and use them to examine the impacts of six small-scale renewal strategies on the wind and thermal environment at pedestrian level in Dazhimen neighborhood, Wuhan, which is a typical case study of urban renewal project in a mega-city. The key parameters such as the solar radiation, natural convection, relative humidity, ambient crosswind have been incorporated into the mathematical models by using user-defined-function (UDF) method. Detailed temperature and velocity distributions under different strategies have been compared for the optimization of local renewal strategies. It is concluded that five rules generated from the simulation results can provide guidance for building demolition and reconstruction in a neighborhood and there is no need of large-scale demolition. Particularly, combining the local demolition and city virescence can both improve the air ventilation and decrease the temperature level in the study area.

ACS Style

Chong Peng; Tingzhen Ming; Jianquan Cheng; Yongjia Wu; Zhong-Ren Peng. Modeling Thermal Comfort and Optimizing Local Renewal Strategies—A Case Study of Dazhimen Neighborhood in Wuhan City. Sustainability 2015, 7, 3109 -3128.

AMA Style

Chong Peng, Tingzhen Ming, Jianquan Cheng, Yongjia Wu, Zhong-Ren Peng. Modeling Thermal Comfort and Optimizing Local Renewal Strategies—A Case Study of Dazhimen Neighborhood in Wuhan City. Sustainability. 2015; 7 (3):3109-3128.

Chicago/Turabian Style

Chong Peng; Tingzhen Ming; Jianquan Cheng; Yongjia Wu; Zhong-Ren Peng. 2015. "Modeling Thermal Comfort and Optimizing Local Renewal Strategies—A Case Study of Dazhimen Neighborhood in Wuhan City." Sustainability 7, no. 3: 3109-3128.

Book chapter
Published: 01 August 2014 in COVID-19 Pandemic Trajectory in the Developing World
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Wuhan, the largest mega city in central China, is not only a historic and cultural city but also a regional economic, transportation and educational centre. In the past six decades, Wuhan has witnessed massive changes in national and local policies of urbanization and urban development. Its spatial and temporal growth has shaped a representative urban morphology, which is interpretable from socio-economic and spatial processes in each corresponding period. Since 2000, Wuhan has entered a new era of economic boom and started the construction of metro system. However, such rapid urban development has addressed great challenges to local urban planning. After reviewing the process of its urban growth and evaluating the roles of urban planning, this paper aims to analyze the challenging issues in transport, population ageing, migration and environment and ecology. We argue the current local data infrastructure is insufficient to support comprehensive or integrated planning in Wuhan.

ACS Style

Jianquan Cheng; Jie Zhou. Urban Growth in a Rapidly Urbanized Mega City: Wuhan. COVID-19 Pandemic Trajectory in the Developing World 2014, 301 -322.

AMA Style

Jianquan Cheng, Jie Zhou. Urban Growth in a Rapidly Urbanized Mega City: Wuhan. COVID-19 Pandemic Trajectory in the Developing World. 2014; ():301-322.

Chicago/Turabian Style

Jianquan Cheng; Jie Zhou. 2014. "Urban Growth in a Rapidly Urbanized Mega City: Wuhan." COVID-19 Pandemic Trajectory in the Developing World , no. : 301-322.