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| 1 | Residents′Activity-travel Behavior Variation by Communities in Beijing,China显示文摘China's transition from a planned economy to a market economy has resulted in many changes in its urban structure and society and provided an opportunity for a quasi-longitudinal case study on the relationship between the built environment and activity-travel behavior.This paper draws upon data from an activity diary survey conducted in Beijing in 2007.The survey sample comprised 652 residents living in Danwei(work unit),commodity housing,and affordable housing neighborhoods.On the basis of the three-dimensional geo-visualization analysis of the space-time path and statistical multivariate regression models of daily travel and leisure time,it was found that both residential spatial factors and socio-demographics influence residents' daily behaviors.The findings show that Danwei residents have less daily travel time than those who live in commodity housing,but people living in affordable housing endure the longest travel time.Daily leisure time is associated more with individual attributes.We argue that although China's transition is currently gradual,the Danwei system may continue to play significant roles in daily life,and it might provide a valuable model for neighborhood spatial planning. | ZHAO Ying CHAI Yanwei | 2013 | Chinese Geographical Science2013，23，4： | 12 |
| 2 | Downtown Retailing Development Under Suburbanization——A Case Study of Beijing显示文摘The role of retailing has diminished in the center of cities of Western countries since its heyday in the 1920s. This trend was caused by violent transformations in the economic, social and locational contexts which involve resi- dential suburbanization, as well as new forms of commercial development out of town. As far as transforming China is concerned, the downtown retailing center has also come to turning point of development in the context of suburbaniza- tion. Based on the survey of Beijing residents’ shopping behavior, the present research tends to making clear the actual change and development problem of downtown retailing center. Combining with the macro retailing environment, re- lated influencing factors are further discussed too. Study results show that downtown retailing still plays an important part in resident’s shopping activity. However, with rapid urban sprawl, retailing in urban center has been greatly threatened by booming out-of-town commerce. In the course of such spatial change, the suburbanization of resident, the prevalence of new commercial forms and the change of consumers’ life style all have exerted their own pressure on downtown retailing. But for the special socioeconomic background of development and the support of government policy, it will still keep its vitality of retailing for a long period of time. | CHAI Yanwei SHEN Jie LONG Tao | 2007 | Chinese Geographical Science2007，17，1： | 4 |
| 3 | Smart Travel Based on Space-Time Behavior Study显示文摘In view of the significant demands and development trends of urbanization during the 12 th Five-Year Plan period, 'smart city' has attracted wide attention as an advanced city development concept in China. Under the circumstance of rapid urbanization, traffic congestion and accessibility defi ciency become major challenges to many Chinese cities, as transportation and travel are closely related to the effi ciency of a city's operation and the quality of people's life. As essential part of smart city planning and management, smart travel offers an effective behavior planning countermeasure to reduce the amount of urban traffi c and optimize the space-time distribution of travels and provides an effective technology to enrich the theories and methodologies of urban and transportation planning. Orienting at the practical demand of citizens and focusing on their travel behavior, this paper carries out a discussion on the smart travel framework based on space-time behavior study and analyzes smart travel planning and its policy route from multiple perspectives, including a prediction on travel demand, transportation planning, public policy-making, and urban planning. What's more, the paper suggests travel services for citizens based on space-time behavior analysis, such as providing personalized information, smart decision-making support, and individual behavior planning. | Chai Yanwei Shen Yue Ta Na Qian Fang | 2015 | China City Planning Review2015，24，1： | 3 |
| 4 | Delineation of an Urban Community Life Circle Based on a Machine-Learning Estimation of Spatiotemporal Behavioral Demand显示文摘Delineating life circles is an essential prerequisite for urban community life circle planning. Recent studies combined the environmental contexts with residents’ global positioning system(GPS) data to delineate the life circles. This method, however, is constrained by GPS data, and it can only be applied in the GPS surveyed communities. To address this limitation, this study developed a generalizable delineation method without the constraint of behavioral data. According to previous research, the community life circle consists of the walking-accessible range and internal structure. The core task to develop the generalizable method was to estimate the spatiotemporal behavioral demand for each plot of land to acquire the internal structure of the life circle, as the range can be delineated primarily based on environmental data. Therefore, behavioral demand estimation models were established through logistic regression and machine learning techniques, including decision trees and ensemble learning. The model with the lowest error rate was chosen as the final estimation model for each type of land. Finally, we used a community without GPS data as an example to demonstrate the effectiveness of the estimation models and delineation method. This article extends the existing literature by introducing spatiotemporal behavioral demand estimation models, which learn the relationships between environmental contexts, population composition and the existing delineated results based on GPS data to delineate the internal structure of the community life circle without employing behavioral data. Furthermore, the proposed method and delineation results also contributes to facilities adjustments and location selections in life circle planning, people-oriented transformation in urban planning, and activity space estimation of the population in evaluating and improving the urban policies. | LI Chunjiang XIA Wanqu CHAI Yanwei | 2021 | Chinese Geographical Science2021，31，1： | 3 |
| 5 | The Internal Structure of A City in Chinese Arid Area: a case study of Lanzhou, Gansu Province显示文摘 | Chai Yanwei | 1996 | Chinese Journal of Arid Land Research1996，9，： | 1 |
| 6 | The Internal Structure of a City in Chinese Arid Arei~: a case study of Lanzhou, Gansu Province显示文摘 | Chai Yanwei | 1996 | Chinese Journal of Arid Land Research1996，9，： | 1 |
| 7 | Un-gated and integrated Work Unit communities in post-socialist urban China: A case study from Beijing显示文摘 | Chun Zhang Yanwei Chai | 2014 | Habitat International2014，，： | 1 |
| 8 | The internal spatial structure of Chinese cities: Case study of Lanzhou city显示文摘 | Chai Yanwei | 1991 | The Human Geography1991，43，6： | 1 |
| 9 | The internal structure of a city in Chinese arid areas: A case study of Langzhou, Gansu Province显示文摘 | Chai Yanwei | 1996 | Chinese Journal Land Research1996，9，3： | 1 |
| 10 | Activity Spaces and SociospatialSegregation in Beijing显示文摘 | WANG Donggen LI Fei CHAI Yanwei | 2012 | Urban Geography2012，33，2： | 1 |
| 11 | The jobs housing relationship and commuting in Beijing China:The legacy of Danwei显示文摘 | Wang Donggen Chai Yanwei | 2009 | Journal of Transport Geography2009，17，1： | 1 |
| 12 | The Jobs housing Relationship and Commuting in Beijing, China: the Legacy of Danwei 显示文摘 | Donggen Wang Yanwei Chai | 2009 | Journal of Transport Geography2009，17，1： | 1 |
| 13 | The Jobs-housing Relationship and Commuting in Beijing, China: the legacy of Danwei显示文摘 | Wang Donggen Chai Yanwei | 2009 | Journal of Transport Geography2009，17，： | 1 |
| 14 | Space–Time Behavior Research in China: Recent Development and Future Prospect显示文摘 | Yanwei Chai | 2013 | Annals of the Association of American Geographers2013，，5： | 1 |
| 15 | The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei显示文摘 | Donggen Wang Yanwei Chai | 2008 | Journal of Transport Geography2008，，1： | 1 |
| 16 | CACA guidelines for holistic integrative management of glioma显示文摘Glioma of the brain is a kind of tumor originating from neuroglial cells.It is the most common primary intracranial tumor,accounting for~30%of all central nervous system tumors and 80% of malignant brain tumors.Glioma is characterized by high disability and recurrence rates.The disease seriously threatens the life of patients,afects their quality of life,and brings a heavy economic and psychological burden to patients,families,and society.With the progression of molecular genetic testing technology and the completion of various clinical trials,the classifcation scheme for glioma is increasingly well established.Diagnosis and treatment regimens,including traditional and new regimens,are becoming increasingly specialized and standardized.The purpose is to develop a clinical diagnosis and treatment guideline for glioma in the Chinese population suitable for Chinese doctors and the general population based on domestic and international glioma research progress.Thus,domestic practitioners in the feld can obtain current information and provide better service to patients with glioma,promoting the development of domestic clinical medicine and basic research on glioma. | Daiming Fan Tao Jiang Wenbin Ma Chuanlu Jiang Yongping You Ying Mao Xiaoguang Qiu Chunsheng Kang Gang Li Qing Mao Xuejun Yang Zhiyong Qin Zhixiong Liu Weimin Wang Xinting Wei Wenbin Li Yunhui Liu Rutong Yu Xinguang Yu Dezhi Kang Yonggao Mou Lei Wang Wei Zhang Zhaoshi Bao Ruichao Chai Baoshi Chen Xing Fan Shengyu Fang Guanzhang Li Lianwang Li Shouwei Li Xing Liu Yanwei Liu Xia Shan Liang Wang Yinyan Wang Yu Wang Zheng Wang Zhiliang Wang Chenxing Wu Wei Yan Pei Yang Gan You Chuanbao Zhang Zhong Zhang Zheng Zhao | 2022 | Holistic Integrative Oncology2022，1，1： | 0 |
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