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Does birthplace affect intergenerational social mobility of migrants in urban escalators? Evidence from China SSCI
期刊论文 | 2024 , 30 (6) | POPULATION SPACE AND PLACE
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Abstract :

There is a growing body of literature on the effects of escalator regions on intergenerational social mobility (ISM) of migrants. Nevertheless, the role of migrant origins in migration outcomes remain neglected. To address this gap, this study attempts to investigate whether migrants' birthplaces continue to have an impact after they move to escalator regions and the mechanism of this impact. Using data from the 2010, 2013, and 2015 Chinese General Social Survey, our findings suggest that the effect of escalator regions on migrants' ISM varies according to the size of their birthplace. Furthermore, the birthplace effect on migrants' ISM when relocating to escalator regions is partially mediated by the birthplace effect on education. Finally, it was found that this birthplace effect varies according to dynamic human capital; migrants with high levels of dynamic human capital can overcome the birthplace effect after relocating to escalator regions.

Keyword :

birthplace birthplace escalator regions escalator regions human capital human capital intergenerational social mobility intergenerational social mobility migrants migrants

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GB/T 7714 Cai, Yuying , Wang, Jiejing , Zhang, Yanji . Does birthplace affect intergenerational social mobility of migrants in urban escalators? Evidence from China [J]. | POPULATION SPACE AND PLACE , 2024 , 30 (6) .
MLA Cai, Yuying 等. "Does birthplace affect intergenerational social mobility of migrants in urban escalators? Evidence from China" . | POPULATION SPACE AND PLACE 30 . 6 (2024) .
APA Cai, Yuying , Wang, Jiejing , Zhang, Yanji . Does birthplace affect intergenerational social mobility of migrants in urban escalators? Evidence from China . | POPULATION SPACE AND PLACE , 2024 , 30 (6) .
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Causal Effect of Small Businesses on Street Theft: Evidence from a Natural Experiment of the Beijing Cleanup Campaign SSCI
期刊论文 | 2024 | JOURNAL OF QUANTITATIVE CRIMINOLOGY
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ObjectivesTo examine the causal impact of small businesses on street theft and the underlying mechanisms.MethodsThe "Cleanup Holes in the Wall" campaign in Beijing, China, provides a rare opportunity for a natural experiment. Drawing on street view images processed by deep learning algorithms and other big data sources such as court judgments and location-based service (LBS) population, we use difference-in-difference (DID) models to investigate how the disappearance of small businesses leads to changes in the occurrence of theft. We further examine the mechanisms by introducing mediators, including ambient population and social activity.ResultsThe treatment units that experienced a mass loss of small businesses showed a significant reduction in street theft compared to the control units that were less affected by the cleanup campaign. Ambient population and social activity played a mediating role in promoting and deterring crime, respectively, with the former dominating. The results remain robust after including covariates in the models, balancing covariates using the propensity score matching method, and adopting alternative thresholds to classify the treatment group.ConclusionsThere are two competing yet coexisting mechanisms through which small businesses influence street theft. On the one hand, commercial premises provide large numbers of criminal opportunities for potential offenders; on the other hand, they are central to local social control and order. While small businesses exercise a certain amount of natural surveillance power, as a whole, they function primarily as crime generators. Implications for implementing targeted policies tailored to the nature of small businesses are discussed.

Keyword :

Deep learning algorithm Deep learning algorithm Difference-in-difference model Difference-in-difference model Small business Small business Street theft Street theft Street view image Street view image

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GB/T 7714 Zhang, Yanji , Cai, Liang , Song, Guangwen et al. Causal Effect of Small Businesses on Street Theft: Evidence from a Natural Experiment of the Beijing Cleanup Campaign [J]. | JOURNAL OF QUANTITATIVE CRIMINOLOGY , 2024 .
MLA Zhang, Yanji et al. "Causal Effect of Small Businesses on Street Theft: Evidence from a Natural Experiment of the Beijing Cleanup Campaign" . | JOURNAL OF QUANTITATIVE CRIMINOLOGY (2024) .
APA Zhang, Yanji , Cai, Liang , Song, Guangwen , You, Yongyi . Causal Effect of Small Businesses on Street Theft: Evidence from a Natural Experiment of the Beijing Cleanup Campaign . | JOURNAL OF QUANTITATIVE CRIMINOLOGY , 2024 .
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Understanding neighborhood income segregation around the clock using mobile phone ambient population data SSCI AHCI
期刊论文 | 2024 , 11 (1) | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
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This study examines the temporal changes in income segregation within the ambient population around the clock using mobile phone big data. It employs ordinal entropy, a metric suited for measuring segregation among ordered groups, to quantify the level of segregation among eight income groups within micro-geographic units throughout the 24-h period on a weekday and a weekend day in the urban core of Guangzhou, China. The study further decomposes daily segregation by location and time profile. We identify urban functions and neighborhood contexts relevant for income segregation and explore their temporal variation. Using group-based trajectory analysis, we classify daily segregation trends among 400 m urban grids into seven distinct trajectories for both weekday and weekend. Our findings confirm that segregation fluctuates constantly. The role of local urban functions, particularly retail, accommodation, and offices, and neighborhood context, such as the number of residents and the share of non-local migrants, exhibits a significant temporal rhythm. The seemingly convoluted 24-h segregation time series among urban grids follow just a few distinct trajectories with clear geographical patterns. There is limited variability at individual grids both over the course of a day and across days. Shifts across different trajectory types between weekday and weekend are rare. The dynamic daily segregation in the ambient population per se may be an enduring characteristic of neighborhoods and a real-time channel for neighborhood contextual influences, potentially fueling long-term residential segregation and neighborhood change.

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GB/T 7714 Cai, Liang , Song, Guangwen , Zhang, Yanji . Understanding neighborhood income segregation around the clock using mobile phone ambient population data [J]. | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS , 2024 , 11 (1) .
MLA Cai, Liang et al. "Understanding neighborhood income segregation around the clock using mobile phone ambient population data" . | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS 11 . 1 (2024) .
APA Cai, Liang , Song, Guangwen , Zhang, Yanji . Understanding neighborhood income segregation around the clock using mobile phone ambient population data . | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS , 2024 , 11 (1) .
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Parent- or self-reliance? Understanding young homeowners' housing quality in Beijing from an intergenerational and dynamic perspective SSCI
期刊论文 | 2024 | HOUSING STUDIES
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Abstract :

Parental support increasingly influences young people's housing outcomes. Using OLS models, this study examines the relative effects of parental and own socioeconomic status and political resources on young homeowners' housing quality and their temporal dynamics in Beijing, China. We find that the market transition theory has explanatory power for both generations. However, the socioeconomic status of parents outweighs that of young homeowners in influencing their multifaceted housing qualities. These housing qualities are also positively associated with parents', but negatively with the young homeowners' political resources. This indicates power persistence theory does not stand for the younger generation, but parental political advantages derived from the socialist system are remanent in shaping contemporary youth's housing stratification. The more recent the acquisition of homeownership by young adult children, the stronger the positive influence of parental attributes, but the weaker the influence of the younger generation's own attributes. This demonstrates the intergenerational reproduction of housing stratification and socio-spatial inequality becomes more pronounced as housing affordability declines.

Keyword :

Homeownership Homeownership Housing quality Housing quality intergenerational support intergenerational support market transition theory market transition theory power persistence theory power persistence theory temporal dynamics temporal dynamics

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GB/T 7714 Zhang, Yanji , He, Qiong . Parent- or self-reliance? Understanding young homeowners' housing quality in Beijing from an intergenerational and dynamic perspective [J]. | HOUSING STUDIES , 2024 .
MLA Zhang, Yanji et al. "Parent- or self-reliance? Understanding young homeowners' housing quality in Beijing from an intergenerational and dynamic perspective" . | HOUSING STUDIES (2024) .
APA Zhang, Yanji , He, Qiong . Parent- or self-reliance? Understanding young homeowners' housing quality in Beijing from an intergenerational and dynamic perspective . | HOUSING STUDIES , 2024 .
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中国城市多中心空间结构的发育程度、基本模式及影响因素
期刊论文 | 2024 , 44 (5) , 766-774 | 地理科学
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Abstract :

利用高精度活动人口数据,整合空间自相关分析与多中心模型,识别2019年297个地级及以上城市的所有中心地,从中心数量、距离、均衡性评价多中心程度,基于前述3大指标归纳出10类城市空间结构模式.研究表明,除少量分散型城市,中心数越多,相应城市越少;山地海岛、与邻省交界或发达城市更易远离主中心形成副中心;组团式布局的大城市和强县弱区型中小城市具有相对均衡的多中心,圈层扩张型城市则多呈极化格局.经济社会发展水平提高是形塑多中心结构的首要因素,自然地形起伏助推多中心发育,但政府搬迁、兴建开发区等外迁政策对多中心程度并无显著影响,修建道路也难以壮大新中心.可见多中心结构是经济社会高水平发展的产物,而非跨越式打造而成的.

Keyword :

多中心程度 多中心程度 空间结构模式 空间结构模式 空间自相关 空间自相关 负指数函数 负指数函数

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GB/T 7714 张延吉 , 黄宏祥 , 林胜 . 中国城市多中心空间结构的发育程度、基本模式及影响因素 [J]. | 地理科学 , 2024 , 44 (5) : 766-774 .
MLA 张延吉 et al. "中国城市多中心空间结构的发育程度、基本模式及影响因素" . | 地理科学 44 . 5 (2024) : 766-774 .
APA 张延吉 , 黄宏祥 , 林胜 . 中国城市多中心空间结构的发育程度、基本模式及影响因素 . | 地理科学 , 2024 , 44 (5) , 766-774 .
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中国城市多中心空间结构的发育程度、基本模式及影响因素——基于297个地级及以上城市的实证研究 CSCD CSSCI PKU
期刊论文 | 2024 , 44 (05) , 766-774 | 地理科学
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Abstract :

利用高精度活动人口数据,整合空间自相关分析与多中心模型,识别2019年297个地级及以上城市的所有中心地,从中心数量、距离、均衡性评价多中心程度,基于前述3大指标归纳出10类城市空间结构模式。研究表明,除少量分散型城市,中心数越多,相应城市越少;山地海岛、与邻省交界或发达城市更易远离主中心形成副中心;组团式布局的大城市和强县弱区型中小城市具有相对均衡的多中心,圈层扩张型城市则多呈极化格局。经济社会发展水平提高是形塑多中心结构的首要因素,自然地形起伏助推多中心发育,但政府搬迁、兴建开发区等外迁政策对多中心程度并无显著影响,修建道路也难以壮大新中心。可见多中心结构是经济社会高水平发展的产物,而非跨越式打造而成的。

Keyword :

多中心程度 多中心程度 空间结构模式 空间结构模式 空间自相关 空间自相关 负指数函数 负指数函数

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GB/T 7714 张延吉 , 黄宏祥 , 林胜 . 中国城市多中心空间结构的发育程度、基本模式及影响因素——基于297个地级及以上城市的实证研究 [J]. | 地理科学 , 2024 , 44 (05) : 766-774 .
MLA 张延吉 et al. "中国城市多中心空间结构的发育程度、基本模式及影响因素——基于297个地级及以上城市的实证研究" . | 地理科学 44 . 05 (2024) : 766-774 .
APA 张延吉 , 黄宏祥 , 林胜 . 中国城市多中心空间结构的发育程度、基本模式及影响因素——基于297个地级及以上城市的实证研究 . | 地理科学 , 2024 , 44 (05) , 766-774 .
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城市建设用地效率评价与用地分配优化策略——基于中国2 165个市辖区、县级市和县的实证分析
期刊论文 | 2024 , 48 (06) , 83-90 | 城市规划
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Abstract :

为弥补用地效率研究缺乏全域评估、存在概念混淆、难以指导实务等不足,本文以中国31个省、自治区、直辖市的2 165个市辖区、县级市、县为分析单元,采用SBM-undesirable模型计算各区市县城市建设用地利用效率,量化用地效率与供应的匹配程度和匹配类型,以为指标分配提供依据。中国城市建设用地效率整体偏低,保守估计,近七成区市县拥有冗余用地;若要达到最优效率,全国可削减冗余城市建设用地2.45万km~2。人口规模、行政等级与用地效率呈U型关系,人均GDP对用地效率具有边际递减的正向影响。中国城市面临用地利用效率与用地供应速率的空间错配问题,应根据两者匹配关系分类施策,对“效率不足-供应过剩型”和“效率较高-供应不足型”区市县的计划及周转指标分别给予压缩和调增,以实现总量稳定、效率提升、刚弹结合、动态调整的用地指标分配优化目标。

Keyword :

土地利用效率 土地利用效率 城市建设用地 城市建设用地 数据包络分析 数据包络分析 用地指标 用地指标

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GB/T 7714 张延吉 , 邓伟涛 , 赵立珍 . 城市建设用地效率评价与用地分配优化策略——基于中国2 165个市辖区、县级市和县的实证分析 [J]. | 城市规划 , 2024 , 48 (06) : 83-90 .
MLA 张延吉 et al. "城市建设用地效率评价与用地分配优化策略——基于中国2 165个市辖区、县级市和县的实证分析" . | 城市规划 48 . 06 (2024) : 83-90 .
APA 张延吉 , 邓伟涛 , 赵立珍 . 城市建设用地效率评价与用地分配优化策略——基于中国2 165个市辖区、县级市和县的实证分析 . | 城市规划 , 2024 , 48 (06) , 83-90 .
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Can good neighbourhood perception magnify the positive effect of favourable built environment on recreational walking in China? SCIE
期刊论文 | 2024 , 24 (1) | BMC PUBLIC HEALTH
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BackgroundIt remains unknown whether good neighbourhood perception can enhance the benefits of favourable built environment to physical activity. Moreover, the moderation pattern is less understood in developing countries.ObjectivesThis work aims to examine the moderation effects of perceived neighbourhood safety and aesthetics on the relationship between built environment and time for recreational walking.MethodsWe performed the examination using a sample of 760 residents in Fuzhou City, China. The Negative Binomial Regression Model was developed to examine the moderation roles of neighbourhood safety and aesthetics on the impact of built environment, adjusting for the effects of location, socioeconomic, personal preferences and social environment factors. Moreover, two sensitivity analyses were performed to test whether the moderators found are robust to the control of residential self-selection, and differential measures of conceptually-comparable aspects of built environment.ResultsWe found stronger associations of time for recreational walking with road density and proportion of parks and squares POIs for residents with high perception of neighbourhood safety, compared to those with low perception of neighbourhood safety. There was a greater effect of the proportion of parks and squares POIs, when perceived aesthetics was high than when perceived aesthetics was low. The findings of neighbourhood safety and aesthetics as moderator, were robust in the two sensitivity analyses. No significant moderation effect was found for land use diversity.ConclusionsHigh perceived neighbourhood safety can magnify the positive effects of road connectivity and accessibility to parks and squares. Neighbourhood aesthetics positively moderates the association of time for recreational walking with accessibility to parks and squares. The findings emphasize the need to consider safety- and aesthetics-specific differences in estimates of built environment effects. Improvements in neighbourhood safety and aesthetics are key to effective interventions in built environment to better promote physical activity.

Keyword :

Built environment Built environment Moderation effect Moderation effect Perception of aesthetics Perception of aesthetics Perception of safety Perception of safety Walking for recreation Walking for recreation

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GB/T 7714 Guo, Huagui , Li, Yayu , Liu, Yufei et al. Can good neighbourhood perception magnify the positive effect of favourable built environment on recreational walking in China? [J]. | BMC PUBLIC HEALTH , 2024 , 24 (1) .
MLA Guo, Huagui et al. "Can good neighbourhood perception magnify the positive effect of favourable built environment on recreational walking in China?" . | BMC PUBLIC HEALTH 24 . 1 (2024) .
APA Guo, Huagui , Li, Yayu , Liu, Yufei , Zhang, Shuyu , Zhang, Yanji , Ho, Hung Chak . Can good neighbourhood perception magnify the positive effect of favourable built environment on recreational walking in China? . | BMC PUBLIC HEALTH , 2024 , 24 (1) .
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城市建设用地效率评价与用地分配优化策略 CSCD CSSCI PKU
期刊论文 | 2024 , 48 (6) , 83-90 | 城市规划
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Abstract :

为弥补用地效率研究缺乏全域评估、存在概念混淆、难以指导实务等不足,本文以中国31个省、自治区、直辖市的2 165个市辖区、县级市、县为分析单元,采用SBM-undesirable模型计算各区市县城市建设用地利用效率,量化用地效率与供应的匹配程度和匹配类型,以为指标分配提供依据.中国城市建设用地效率整体偏低,保守估计,近七成区市县拥有冗余用地;若要达到最优效率,全国可削减冗余城市建设用地2.45万km2.人口规模、行政等级与用地效率呈U型关系,人均GDP对用地效率具有边际递减的正向影响.中国城市面临用地利用效率与用地供应速率的空间错配问题,应根据两者匹配关系分类施策,对"效率不足-供应过剩型"和"效率较高-供应不足型"区市县的计划及周转指标分别给予压缩和调增,以实现总量稳定、效率提升、刚弹结合、动态调整的用地指标分配优化目标.

Keyword :

土地利用效率 土地利用效率 城市建设用地 城市建设用地 数据包络分析 数据包络分析 用地指标 用地指标

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GB/T 7714 张延吉 , 邓伟涛 , 赵立珍 . 城市建设用地效率评价与用地分配优化策略 [J]. | 城市规划 , 2024 , 48 (6) : 83-90 .
MLA 张延吉 et al. "城市建设用地效率评价与用地分配优化策略" . | 城市规划 48 . 6 (2024) : 83-90 .
APA 张延吉 , 邓伟涛 , 赵立珍 . 城市建设用地效率评价与用地分配优化策略 . | 城市规划 , 2024 , 48 (6) , 83-90 .
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The Long-Term Theft Prediction in Beijing Using Machine Learning Algorithms: Comparison and Interpretation SSCI
期刊论文 | 2023 | CRIME & DELINQUENCY
WoS CC Cited Count: 1
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Abstract :

To advance the interpretability of machine learning for long-term crime prediction in China, we compared the performance of multiple machine learning algorithms in predicting the spatial pattern of theft in Beijing. Gradient boosting decision tree emerged as the algorithm with best predictive accuracy. After identifying the importance of criminogenic features, we extended the interpreter SHAP to reveal nonlinear and spatially heterogeneous associations between environmental features and theft and we summarized six relation types of such associations at the global scale. At the local scale, we clustered six area types according to the contribution of environmental attributes to theft prediction in each grid. Policy makers should adopt place-based crime prevention measures based on the specific type of each grid belongs to.

Keyword :

crime prediction crime prediction gradient boosting decision tree gradient boosting decision tree interpretable machine learning interpretable machine learning nonlinear relationship nonlinear relationship spatial heterogeneity spatial heterogeneity

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GB/T 7714 Zhang, Yanji , Cai, Liang , Song, Guangwen et al. The Long-Term Theft Prediction in Beijing Using Machine Learning Algorithms: Comparison and Interpretation [J]. | CRIME & DELINQUENCY , 2023 .
MLA Zhang, Yanji et al. "The Long-Term Theft Prediction in Beijing Using Machine Learning Algorithms: Comparison and Interpretation" . | CRIME & DELINQUENCY (2023) .
APA Zhang, Yanji , Cai, Liang , Song, Guangwen , Zhu, Chunwu . The Long-Term Theft Prediction in Beijing Using Machine Learning Algorithms: Comparison and Interpretation . | CRIME & DELINQUENCY , 2023 .
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