Un-gating the gated community: The spatial restructuring of a resettlement neighborhood in Nanjing

Zhao, Wanxia; Zou, Yonghua

doi:10.1016/j.cities.2016.12.015

Cited by 51 publications

(40 citation statements)

References 37 publications

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“…These communities have also been criticized for generating excessive traffic due to the spatial mismatch of job opportunities and housing units [68,69]. Thus, recent urban planning guidelines in China have focused on the removal of walls and fences in the new community designs in an attempt to ease traffic congestion and improve access to amenities [70].…”

Section: Resultsmentioning

confidence: 99%

Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

Ying

Chen

et al. 2017

IJGI

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Abstract:The housing market in Chinese metropolises have become inflated significantly over the last decade. In addition to an economic upturn and housing policies that have potentially fueled the real estate bubble, factors that have contributed to the spatial heterogeneity of housing prices can be dictated by the amenity value in the proximity of communities, such as accessibility to business centers and transportation hubs. In the past, scholars have employed the hedonic pricing model to quantify the amenity value in relation to structural, locational, and environmental variables. These studies, however, are limited by two methodological obstacles that are relatively difficult to overcome. The first pertains to difficulty of data collection in regions where geospatial datasets are strictly controlled and limited. The second refers to the spatial autocorrelation effect inherent in the hedonic analysis. Using Beijing, China as a case study, we addressed these two issues by (1) collecting residential housing and urban amenity data in terms of Points of Interest (POIs) through web-crawling on open access platforms; and (2) eliminating the spatial autocorrelation effect using the Eigenvector Spatial Filtering (ESF) method. The results showed that the effects of nearby amenities on housing prices are mixed. In other words, while proximity to certain amenities, such as convenient parking, was positively correlated with housing prices, other amenity variables, such as supermarkets, showed negative correlations. This mixed finding is further discussed in relation to community planning strategies in Beijing. This paper provides an example of employing open access datasets to analyze the determinants of housing prices. Results derived from the model can offer insights into the reasons for housing segmentation in Chinese cities, eventually helping to formulate effective urban planning strategies and equitable housing policies.

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Section: Resultsmentioning

confidence: 99%

Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

Ying

Chen

et al. 2017

IJGI

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“…The relationship between community safety and built environments has been a popular focus in studies of crime in the environmental disciplines [3], [10], [67], [15], [19]- [22], [26], [28], [49]. The notion that fear of crime can be `designed out', or at least its worst effects moderated by changing built environments has underpinned many policy recommendations and initiatives [8], [9], [25], [38], [40].…”

Section: Crime Against Women (Caw) or Women's Fear Of Attack And The mentioning

confidence: 99%

“…Among the strongest critiques of mainstream fear of crime theory have been those of feminist criminologists, particularly [16], [25], [40] who has high-lighted the socio-political constitution of fear of crime, in particular, its gendered nature. Elsewhere that feminists concerned with women's safety in relation to practical planning issues were amongst the earliest and strongest supporters of `designing out fear'.…”

Section: Women's Safety and The Built Environmentmentioning

confidence: 99%

Built Environment and Its Impact on Crimes Related to Women in NCT of Delhi: A Pilot Survey

Nangia¹,

Singh²,

Ali³

2019

IJPTM

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The purpose of this paper is to critically analyze the impact of the built environment on crimes related to women in the National Capital Territory (NCT) of Delhi through a pilot study with minimum responses. The objective of the study was to examine the built environment attributes affecting the crimes related to women in NCT of Delhi and to compare the very high crime rate areas vs very low crime rate areas as per the Delhi Police crime statistics to know the basic root cause of the incidence of crimes. The methodology adopted for the study is a structured questionnaire survey and statistical data analysis. The SPSS 23 statistical package is used for this study. A total of four wards (neighbour-hoods) were selected for the present study comprising two wards from very high crime and two wards from very low crime rate districts of Delhi and a total of 80 responses were collected for this pilot study. The findings of the study also validate the perception of the residents which confirm that the lack of desirable built environment facilities lead to high crime rate in the selected wards i.e. IP Extension and MayurVihar-II, whereas the availability of adequate desirable built environment facilities precedent of low rate of crime committed against women in the selected wards i.e. Pitam Pura and Shalimar Bagh. The future scope of the study is to undertake a comprehensive study of all the attributes of built environment impacting the crime rates against women in NCT of Delhi on the basis of structured questionnaire survey (the same questionnaire has been used for the pilot survey for 80 numbers of respondents) with a sample size of 450-500 to reduce the chances of error and to generalize the findings of the study.

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“…In the two years since the policy was enacted in 2016, some researchers, national press and local news report have also responded to the question. From the sociality and the policy level, they have combed the development of the closed block and the possible impact of the transformation [14][15][16]. Experts from the China Urban Planning and Design Research Institute and the National Development Reform Commission have also largely expressed their support.…”

Section: Research Statusmentioning

confidence: 99%

Comparing Characteristics of Environmental Behaviors and Spatial Types in Open and Gated Housing Blocks: A Case Study of Changchun, China

2018

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Physical characteristics of residential areas affect many aspects of living sustainability, including the environmental behavior of residents. Based on the policy issued in China in 2016, the guideline of transforming existing gated housing blocks into open mode is being gradually implemented in some cities. However, the transforming of boundary walls and internal roads has changed the living environment such as the open space that residents have been accustomed to and has affected environmental behaviors correspondingly. From perspectives of spatial types and environmental behaviors, this research compared an open housing block (which is reconstructed from gated one) with a comparable original gated housing block. The Behavior Mapping Method was used to capture environmental behaviors in two housing blocks; factor analysis and cluster analysis were used to extract spatial characteristics and classify spatial types; and finally differences between the open housing block and the gated housing block were shown by comparing the distribution of environmental behaviors in each space type. The results indicate that the presence or absence of the enclosing walls affects the division of space types and environmental behaviors in housing blocks. For gated housing blocks, spaces with strong privacy attract various types of activities, which are overwhelming in categories and the number of people, while in the open housing blocks, this situation is not as obvious as in the former.

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Un-gating the gated community: The spatial restructuring of a resettlement neighborhood in Nanjing

Cited by 51 publications

References 37 publications

Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

Built Environment and Its Impact on Crimes Related to Women in NCT of Delhi: A Pilot Survey

Comparing Characteristics of Environmental Behaviors and Spatial Types in Open and Gated Housing Blocks: A Case Study of Changchun, China

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