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Haizhen Wen
Department of Civil Engineering, Zhejiang University, Hangzhou, 310058, China

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Journal article
Published: 24 June 2020 in Urban Forestry & Urban Greening
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Square dancing is a popular public activity performed in squares and parks in Chinese cities. Although dancers benefit from such activity physically and mentally, nearby residents may suffer from noise pollution and other negative externalities. However, only a few existing studies have explored the effects of square dancing on the value of residential properties and open spaces. To fill this knowledge gap, this study utilizes the hedonic price model and spatial econometric model to investigate the external effects of square dancing in the housing market of Hangzhou, China. Results show that nearby housing price drops by 5.8 % and 13.0 % when people dance in the nearest park and square. In addition, square dancing decreases the value of parks and squares, and this mediating effect shows spatial heterogeneity (e.g., the premium of living in the segments of 0–200 m and 200 m – 1 km from parks decreases from 0.231 to 0.047 and from 0.126 to 0.045, respectively; the premium of living in the segments of 0–800 m, 800 m – 1.5 km, and 1.5–3 km from squares decreases from 0.157 to 0.060, from 0.165 to 0.022, and from 0.166 to 0.033, respectively). The results of this study indicate that square dancing has a significant negative external effect on housing price and the value of open space. This study offers implications for policy makers to achieve a harmonious society and humanized urban planning. The findings and implications of this study ensure the benefits of residents and improve the value of residential properties and open spaces. In addition, the findings can be generalized across cities or countries where square dancing and other human activities (e.g., night market) are popular.

ACS Style

Yue Xiao; Eddie C.M. Hui; Haizhen Wen. The housing market impacts of human activities in public spaces: The case of the square dancing. Urban Forestry & Urban Greening 2020, 54, 126769 .

AMA Style

Yue Xiao, Eddie C.M. Hui, Haizhen Wen. The housing market impacts of human activities in public spaces: The case of the square dancing. Urban Forestry & Urban Greening. 2020; 54 ():126769.

Chicago/Turabian Style

Yue Xiao; Eddie C.M. Hui; Haizhen Wen. 2020. "The housing market impacts of human activities in public spaces: The case of the square dancing." Urban Forestry & Urban Greening 54, no. : 126769.

Journal article
Published: 21 April 2020 in Research in Transportation Economics
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This study investigates the property price premium brought by the opening of a subway to illustrate temporal dynamics and heterogeneous mechanism of property value effects. The estimation of changes caused by subways on property value can aid in assessing the benefits of public transit investments well. On the basis of residential property transaction records in Hangzhou, China in 2009–2013, hedonic models in a difference-in-differences framework are applied to handle certain endogeneity problems of estimation by eliminating unobserved factors. Results show that treatment groups located within 1000 m of a subway have an average price increase of 444 yuan per m2 from the opening of Line1. High-cost houses constantly gain significant increment and their price premium regress during the research period. However, for their counterparts in low-cost communities, the insignificant price effects are negative for a short time, and then become positive. The generalized results are robust when subway radius is adjusted.

ACS Style

Chuanhao Tian; Ying Peng; Haizhen Wen; Wenze Yue; Li Fang. Subway boosts housing values, for whom: A quasi-experimental analysis. Research in Transportation Economics 2020, 100844 .

AMA Style

Chuanhao Tian, Ying Peng, Haizhen Wen, Wenze Yue, Li Fang. Subway boosts housing values, for whom: A quasi-experimental analysis. Research in Transportation Economics. 2020; ():100844.

Chicago/Turabian Style

Chuanhao Tian; Ying Peng; Haizhen Wen; Wenze Yue; Li Fang. 2020. "Subway boosts housing values, for whom: A quasi-experimental analysis." Research in Transportation Economics , no. : 100844.

Journal article
Published: 18 February 2020 in Habitat International
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Urban road traffic often generates noise and air pollution, thereby resulting in a disamenity effect on surrounding residential property and subsequently affecting the willingness to pay of homebuyers. Given that the distribution of road-traffic externalities varies in vertical space, heterogeneous effects of road traffic result on properties situated in different floors. Based on data of 7590 multi-story and 4980 high-rise residential property in Hangzhou, China in 2017, this study constructs hedonic price and spatial econometric models to investigate the relationship among road-traffic externality, floor level, and property price. Empirical results show that road-traffic externalities have a significant disamenity effect on property price. Different from existing studies, we find that the floor level has a significant moderating effect on the disamenity effect of road traffic. In particular, effects on different submarkets reveal that capitalization rate is non-monotonic in vertical space and different in multi-story and high-rise buildings. Previous literature has largely ignored these issues, but the latter is crucial in estimating the influence of road-traffic externalities on property price.

ACS Style

Haizhen Wen; Zaiyuan Gui; Ling Zhang; Eddie C.M. Hui. An empirical study of the impact of vehicular traffic and floor level on property price. Habitat International 2020, 97, 102132 .

AMA Style

Haizhen Wen, Zaiyuan Gui, Ling Zhang, Eddie C.M. Hui. An empirical study of the impact of vehicular traffic and floor level on property price. Habitat International. 2020; 97 ():102132.

Chicago/Turabian Style

Haizhen Wen; Zaiyuan Gui; Ling Zhang; Eddie C.M. Hui. 2020. "An empirical study of the impact of vehicular traffic and floor level on property price." Habitat International 97, no. : 102132.

Journal article
Published: 26 November 2019 in Cities
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Maintaining urban vitality and promoting sustainable urban development is a critical concern because global urbanisation continues to accelerate. This study creates a model to measure urban vitality by means of NPP-visible infrared imager radiometer sensor (VIIRS) nighttime light data and observes that urban vitality and NPP-VIIRS nighttime light data are highly positively correlated, which greatly expands the application of nighttime light data in urban research. This paper further researches the impact of population inflow and social infrastructure on urban vitality by establishing a panel fixed effect model based on the data of 35 large- and medium-sized cities in China to provide new ideas to understand urban vitality from the perspective of public service. The results illustrate that increasing the financial investment of social infrastructure can effectively improve urban vitality, and population inflow influences urban vitality through the interaction effect with social infrastructure. With the inflow population increasing, the educational financial expenditure's positive effect on urban vitality will be enhanced, and the medical and health financial expenditure's positive effect on urban vitality will be suppressed. This paper provides guidance regarding reasonable population inflow and urban vitality improvement.

ACS Style

Feng Lan; Xiaoya Gong; Huili Da; Haizhen Wen. How do population inflow and social infrastructure affect urban vitality? Evidence from 35 large- and medium-sized cities in China. Cities 2019, 100, 102454 .

AMA Style

Feng Lan, Xiaoya Gong, Huili Da, Haizhen Wen. How do population inflow and social infrastructure affect urban vitality? Evidence from 35 large- and medium-sized cities in China. Cities. 2019; 100 ():102454.

Chicago/Turabian Style

Feng Lan; Xiaoya Gong; Huili Da; Haizhen Wen. 2019. "How do population inflow and social infrastructure affect urban vitality? Evidence from 35 large- and medium-sized cities in China." Cities 100, no. : 102454.

Original article
Published: 12 August 2019 in Growth and Change
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China's urbanization rate is increasing beyond sustainable levels because it has increased by approximately 1% every year in the last 30 years. As an important part of urban development, the selection of an urbanization strategy has been the focus of local governments. As such, local governments play an important role in urbanization processes by coordinating land supply and population growth. Using the 2009–2013 panel data of 41 cities in the Yangtze River Delta (YRD) region, this research tests the relationship between land supply and population growth to explore the urbanization strategy adopted by local governments. Simultaneous equation models for land supply and population growth are developed in this research. Empirical results identify land supply as the cause and population growth as the effect. Findings suggest that local governments in the YRD choose an aggressive strategy in urbanization which treats land as a tool for accelerating the urbanization.

ACS Style

Juan‐Feng Zhang; Dan‐Xia Zhang; Guo‐Chao Zhao; Hui Zeng; Hai‐Zhen Wen. Land supply and urbanization strategy in the Yangtze River Delta region, China. Growth and Change 2019, 50, 1338 -1355.

AMA Style

Juan‐Feng Zhang, Dan‐Xia Zhang, Guo‐Chao Zhao, Hui Zeng, Hai‐Zhen Wen. Land supply and urbanization strategy in the Yangtze River Delta region, China. Growth and Change. 2019; 50 (4):1338-1355.

Chicago/Turabian Style

Juan‐Feng Zhang; Dan‐Xia Zhang; Guo‐Chao Zhao; Hui Zeng; Hai‐Zhen Wen. 2019. "Land supply and urbanization strategy in the Yangtze River Delta region, China." Growth and Change 50, no. 4: 1338-1355.

Journal article
Published: 26 June 2019 in Journal of Cleaner Production
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This study aims to assess the utilization efficiency of industrial land in China’s rapid urbanization. Land productivity is calculated to analyze spatial characteristics using the data of 275 prefecture-level cities from 2006 to 2016. Findings suggest that urban industrial land productivity has steadily increased over time. The points and belt shape is the spatial feature, in which high-level productivity cities located in the coastal regions are connected into an S curve. The gap of land productivity among the four regions in China had been widening from 2006 to 2016. The empirical results show that capital density, labor density, urban developed area, urban population, economic growth, and industrial structure are significant factors of land productivity.

ACS Style

Juanfeng Zhang; Danxia Zhang; Liying Huang; Haizhen Wen; Guochao Zhao; Dongsheng Zhan. Spatial distribution and influential factors of industrial land productivity in China's rapid urbanization. Journal of Cleaner Production 2019, 234, 1287 -1295.

AMA Style

Juanfeng Zhang, Danxia Zhang, Liying Huang, Haizhen Wen, Guochao Zhao, Dongsheng Zhan. Spatial distribution and influential factors of industrial land productivity in China's rapid urbanization. Journal of Cleaner Production. 2019; 234 ():1287-1295.

Chicago/Turabian Style

Juanfeng Zhang; Danxia Zhang; Liying Huang; Haizhen Wen; Guochao Zhao; Dongsheng Zhan. 2019. "Spatial distribution and influential factors of industrial land productivity in China's rapid urbanization." Journal of Cleaner Production 234, no. : 1287-1295.

Journal article
Published: 05 April 2019 in Habitat International
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Floor level is an important factor influencing housing price. However, most existing literature just treated floor level as a control variable and simply obtained a linear relationship between floor level and housing price. To fill this gap, this study uses the hedonic price model to deeply investigate floor level premium. The emphasis of this study is on landscape proximity and also the interactive effect of floor level and landscapes. A better understanding between floor level, landscape proximity and housing price is provided. Contrary to most existing studies, the findings suggest that the relationship between floor level and housing price is non-linear and is different in multi-storey buildings and high-rise buildings. As for the interactive effect between floor level and landscape proximity, we find that the amenity value of landscapes shows vertical heterogeneity at different floor levels within a building. On the other hand, landscape proximity significantly affects the relationship between floor level and housing price. This study addresses issues that were not studied before but are crucial to estimate the value of floor level and landscapes. It provides important implications for a better living environment and urban planning.

ACS Style

Yue Xiao; Eddie C.M. Hui; Haizhen Wen. Effects of floor level and landscape proximity on housing price: A hedonic analysis in Hangzhou, China. Habitat International 2019, 87, 11 -26.

AMA Style

Yue Xiao, Eddie C.M. Hui, Haizhen Wen. Effects of floor level and landscape proximity on housing price: A hedonic analysis in Hangzhou, China. Habitat International. 2019; 87 ():11-26.

Chicago/Turabian Style

Yue Xiao; Eddie C.M. Hui; Haizhen Wen. 2019. "Effects of floor level and landscape proximity on housing price: A hedonic analysis in Hangzhou, China." Habitat International 87, no. : 11-26.

Journal article
Published: 24 January 2019 in Sustainability
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Urban agglomerations (UAs) have become the urbanized “growth poles”, especially against the background of increasing population flow to cities. The spatial structure of UAs has been deemed the essential factor affecting regional function and sustainable development. Although there have been many meaningful studies on spatial structure changes in China, a systematically comparative work of UAs is still absent. Under this context, this paper examines the changing process of spatial structure in 20 Chinese UAs from monocentric to polycentric during the years 1992–2012 by using the night-time light data—an alternative to census data—and explores the major driving forces underlying the evolution. Our empirical results suggest that there is an obvious polycentric tendency of UAs, the spatial distribution pattern of which is not apparent. Panel regression models reveal that the economic level, the population size, the foreign direct investment (FDI), the human capital, and the transport infrastructure play significant positive roles in shaping the polycentric changing process, while the growth of the government expenditure does the opposite. Moreover, transport infrastructure and FDI are positively associated with polycentric spatial structure in mature UAs; on the contrary, they are negatively associated with it in the emerging UAs. Our study results have important policy implications for rapid Chinese urbanization—the policy whereby “China’s future urbanization development model is to limit the agglomeration of large cities while focusing on developing small and medium-sized cities” may be more efficient in mature UAs.

ACS Style

Feng Lan; Huili Da; Haizhen Wen; Ying Wang. Spatial Structure Evolution of Urban Agglomerations and Its Driving Factors in Mainland China: From the Monocentric to the Polycentric Dimension. Sustainability 2019, 11, 610 .

AMA Style

Feng Lan, Huili Da, Haizhen Wen, Ying Wang. Spatial Structure Evolution of Urban Agglomerations and Its Driving Factors in Mainland China: From the Monocentric to the Polycentric Dimension. Sustainability. 2019; 11 (3):610.

Chicago/Turabian Style

Feng Lan; Huili Da; Haizhen Wen; Ying Wang. 2019. "Spatial Structure Evolution of Urban Agglomerations and Its Driving Factors in Mainland China: From the Monocentric to the Polycentric Dimension." Sustainability 11, no. 3: 610.

Journal article
Published: 21 January 2019 in Sustainability
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This study investigates the spatial dependence of house prices in the Yangtze Delta Urban Agglomeration since the year 2000. According to Moran’s I index and the LISA scatter plot derived from a cross-section data set, the spatial dependence of house prices can be traced across the 25 cities in the agglomeration and became more evident after 2005. This study develops a spatial panel model with geographical distance and economic distance weight matrices. Spatial effects significantly influenced house prices in both cases but the intensity of the former was weaker than for the latter. Income, proportion of the tertiary industry, and amenity exhibited significant indirect effects on house prices in other cities in the inner region of the agglomeration, while competition of population between cities with economic proximity exerted negative indirect effects. Furthermore, urban industrial structure, innovation capability, and urbanization degree revealed differences in terms of spatial dependence among various city groups.

ACS Style

Ling Zhang; He Wang; Yan Song; Haizhen Wen. Spatial Spillover of House Prices: An Empirical Study of the Yangtze Delta Urban Agglomeration in China. Sustainability 2019, 11, 544 .

AMA Style

Ling Zhang, He Wang, Yan Song, Haizhen Wen. Spatial Spillover of House Prices: An Empirical Study of the Yangtze Delta Urban Agglomeration in China. Sustainability. 2019; 11 (2):544.

Chicago/Turabian Style

Ling Zhang; He Wang; Yan Song; Haizhen Wen. 2019. "Spatial Spillover of House Prices: An Empirical Study of the Yangtze Delta Urban Agglomeration in China." Sustainability 11, no. 2: 544.

Journal article
Published: 10 January 2019 in International Journal of Hospitality Management
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The paper aims to investigate the relationship between tourism seasonality, online user ratings and the determinants of hotel prices based on the hedonic price model using the online dataset of hotels in Sanya, China. The empirical results of ordinary least squares (OLS) and quantile regressions both show that hotel prices are highly related to tourism seasonality. Compared to the low season, hotel prices increase by 23.1% in the high season and by 159.9% during Chinese New Year. Online user ratings demonstrate heterogeneous impacts on both location and time dimensions in hotel pricing. The quantile regressions further indicate that hotels with higher prices are less sensitive to seasonality and that the online user rating plays a more important role for mid- and low-priced hotels by mitigating the negative seasonal effects on hotel prices. Our findings provide new evidence supporting the current literature and offer useful implications for hospitality management.

ACS Style

Xinrui Wang; Jiuxia Sun; Haizhen Wen. Tourism seasonality, online user rating and hotel price: A quantitative approach based on the hedonic price model. International Journal of Hospitality Management 2019, 79, 140 -147.

AMA Style

Xinrui Wang, Jiuxia Sun, Haizhen Wen. Tourism seasonality, online user rating and hotel price: A quantitative approach based on the hedonic price model. International Journal of Hospitality Management. 2019; 79 ():140-147.

Chicago/Turabian Style

Xinrui Wang; Jiuxia Sun; Haizhen Wen. 2019. "Tourism seasonality, online user rating and hotel price: A quantitative approach based on the hedonic price model." International Journal of Hospitality Management 79, no. : 140-147.

Journal article
Published: 30 June 2018 in Sustainability
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Most existing studies empirically investigated the impact of rail transit on housing prices using the traditional hedonic price model, which is based on ordinary least squares (OLS). This method can estimate only the average implicit prices of housing characteristics and may ignore possible heterogeneous impacts of rail transit at different housing price levels. As a useful supplement to OLS regression, quantile regression can measure how implicit prices of explanatory variables vary across different price levels, thereby providing a comprehensive picture of the relationship between housing characteristics and prices. By using Hangzhou, China as an example, this study adopts the traditional hedonic price model and quantile regression model to investigate the capitalization effect of a new subway line on housing prices. Empirical results suggest the significant impacts of accessibility to subway stations. The average housing price within 2 km of the station is 2.1% to 6.1% higher than those outside. We also find that the impacts of the subway differ significantly across the distribution of housing prices, wherein the absolute value of estimated coefficients increased from 0.023 for the 15th quantile to 0.086 for the 95th quantile. The subway opening strengthens the capitalization effect of traffic accessibility. The absolute value of price elasticity increases from 0.044 to 0.053, and the range of influence is expanded from 1500 m to 2000 m.

ACS Style

Haizhen Wen; Zaiyuan Gui; Chuanhao Tian; Yue Xiao; Li Fang. Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China. Sustainability 2018, 10, 2254 .

AMA Style

Haizhen Wen, Zaiyuan Gui, Chuanhao Tian, Yue Xiao, Li Fang. Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China. Sustainability. 2018; 10 (7):2254.

Chicago/Turabian Style

Haizhen Wen; Zaiyuan Gui; Chuanhao Tian; Yue Xiao; Li Fang. 2018. "Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China." Sustainability 10, no. 7: 2254.

Journal article
Published: 01 March 2018 in Journal of Urban Planning and Development
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Rent-price ratio is a key indicator reflecting the health of the real estate market. However, this ratio varies in different periods and different areas of China. To understand the changes of the rent-price ratio, it is important to identify what factors impact it. With a simultaneous equation model and panel data from 30 cities in China during 2008–2013, this paper investigates the influential factors of housing price and housing rent, respectively, and then identifies the different influential factors of the rent-price ratio among various tiers of cities. Hausman test verifies that housing price and housing rent have an endogenous relationship. At 10% significance, eight and five exogenous variables exert significant impacts on housing price and housing rent, respectively. At the national level, price expectation has been observed to have the strongest impact on the rent-price ratio. At the city level, except gross domestic product (GDP) and price expectation, eight other factors have been observed to have different impacts on the rent-price ratio in different cities.

ACS Style

Dong Zhai; Yishu Shang; Haizhen Wen; Junbo Ye. Housing Price, Housing Rent, and Rent-Price Ratio: Evidence from 30 Cities in China. Journal of Urban Planning and Development 2018, 144, 04017026 .

AMA Style

Dong Zhai, Yishu Shang, Haizhen Wen, Junbo Ye. Housing Price, Housing Rent, and Rent-Price Ratio: Evidence from 30 Cities in China. Journal of Urban Planning and Development. 2018; 144 (1):04017026.

Chicago/Turabian Style

Dong Zhai; Yishu Shang; Haizhen Wen; Junbo Ye. 2018. "Housing Price, Housing Rent, and Rent-Price Ratio: Evidence from 30 Cities in China." Journal of Urban Planning and Development 144, no. 1: 04017026.