As globalization and consumerism is prevalent, there always exist conflicts between consumption and environment. While consumers are in the pursuit of material satisfaction, they also care much about global environment. In response to the demands of consumers, brands built up global image and environmental image to retain their customers and develop new markets. Taking an example of H&M, we collected 265 copies of effective questionnaires, with the aid of SPSS 19.0 and Lisrel 8.72, to examine the impact of fast fashion brand images on consumption behavior intentions of Chinese consumers. The findings are as follows: (1) Global cultural identity plays a critical role in the perceived brand globalness and the perceived brand globalness has the biggest influence on consumption behavior intentions in turn. That means that globalization and modernity are still the most important factors which influence Chinese consumers' brand purchase intention. (2) Pro-environmental self-identity and environmental image of brand has weak influence on Chinese consumers' brand purchase intention of the international fast fashion brand, namely consumers who claim high environmental consciousness still support fast fashion brands which are believed to intensify environmental crisis on the earth. Theoretically, this verifies the fact that with the space separation of production and consumption, international fast fashion brands put efforts on building environmental brand image in order to pursue capital profit maximization. Testing the influence of the identity construction of Chinese consumers and the shape of international fast fashion brand images on consumption behavioral intentions in an integrated model will help to understand the interaction between supply and demand and further reveal the influence of global fashion culture on Chinese consumers and the environmental limitation behind the brand environmental image strategy.

As one of the core problems clsoely related with human development, health inequality has aroused an increasing concern in the world. Through an integration of the coefficient of variation, Theil index, exploratory spatial data analysis (ESDA) and spatial panel econometric model, we examine the regional inequality, spatial-temporal dynamic patterns and the key factors of the residents' health level (RHL) in China from 2003 to 2013. The aim is to provide scientific basis for policy making on regional health inequality reduction in China. The results are shown as follows: (1) China's RHL index decreased from 0.404 to 0.295 in 2003-2013, with an annual rate of 2.698%. Specifically speaking, the growing rate in the western region was higher than that in the eastern and central regions, but the there is no change in RHL in terms of the basic pattern which decreases from the east to central part then to the west. (2) The regional inequality of RHL presented an extending trend in 2003-2013. Among this, the RHL inequality between regions presented a reducing trend, but that within a region presented an expanding trend. And the growing rate of inequalities of RHL in the western region was higher than that of the eastern and central regions. (3) The spatial distribution of RHL has tended into the letter "T" shape, and the RHL presented a stepped decrease from the east to the central part then to the west and a symmetric decrease from the north to the central part then to the south. (4) By observing the change of Moran's I in 2003, 2008 and 2013, we found that the spatial agglomeration range of RHL presented a narrowing trend. All the hot spots and cold spots presented a shrinking tendency, the RHL in the west formed a stable cold spot, including Xinjiang, Qinghai and Xizang, but that in the east coastal area formed a stable hot spot, including Shandong, Henan, Qinghai, Hubei, Anhui, Jiangsu and Shanghai. (5) The selected explanatory variables, such as per capita GDP, per capita spending on health, urbanization level and environment quality, have significant direct impacts on the RHL in China. With the increase of per capita GDP, per capita spending on health and urbanization level and the improvement of environment quality, the RHL will be raised. Finally, this paper points out the attention should be focused on the research of the regional inequality of RHL, such as the problems of the residents' multi-time-domain, multi-scale and multi-influencing mechanism.

"Dragging the Gods" (tuo shen in Chinese) is a form of traditional religious festival in Shangshe Village, Chenghai District, Shantou City, which has been endowed with apparent features of bodily expressions and thus gained much attention from the public. Following interest in this empirical case, this paper adopts multifaceted methods of visual analysis, pictorial analysis, eye movement analysis and qualitative analysis to investigate the spatial practice in the bodily expression in such festivals. The empirical evidence shows that, in such religious activities, the embodied practice and experience to significant extent have played influential roles in maintaining the time-space features of these religious festivals. In so doing, the human body has become the most minimum scale for meaning-making, in particular in the process of the practice of religious rites. Specifically, the emotional process of subjective feelings and shares in such traditional festivals have greatly contributed to the construction of place togetherness and identity; while the lasting and physical body engagement can be considered as the most crucial component that inoculates the vitality and vigor for maintaining and reproducing such spatial practices and religious festivals. Focusing on pictorial analysis, eye movement analysis, visual analysis and qualitative analysis of data collected from local residents, in particular their hotpots of eye movements and their changes of pupil sizes, this paper directly and effectively assesses their emotional practice and experience in the spatial behaviors of "Dragging the Gods". The result strongly suggests that, both inside and outside the performative space, there is significant distinction between the live audiences and the outside "gazers" from the perspective of the embodied sense, which, to a great extent, demonstrates the spatial heterogeneity of the human body. This research can be read as an expansion of the geography of human body, particularly from the lens of emotional geography, as well as a contribution to the development of new research methods in the subject of human geography.

The emerging technologies for collection and analysis of massive spatiotemporal databases have largely benefitted the innovation of urban studies, and enabled us to revisit the traditional constructs in terms of space-time behavior. On specific case is the uncertain geographic context problem (UGCoP) was proposed by Kwan (2012), which refers to the spatial uncertainty in the actual areas that exert contextual influences on the individuals being studied.
This research makes an attempt to address the multivariable analysis as well as the temporal variations in the research of UGCoP. Two inter-related questions are explored in this research: First, how the contextual effects on different aspects of individual behaviors (and their inter-relationships) may be affected by the delineation of geographic context. Second, how the uncertainty of geographic context is evident in terms of the day-to-day variations.
This exploration is based on an empirical study of activity-travel behavior in Xining, China. An activity-diary dataset collected in 2013 and including 1098 valid samples is applied. The research first delineates the contextual unit of the built environment variables in two different ways: one is merely based on the residential neighborhoods, and the other considers both residential neighborhoods and activity spaces. Then, the research testifies the hypothesis about the potential impact of uncertain geographic context on the space-time behavior analysis. Also, the results on the weekday and weekend are compared in order to testify the day-to-day variation. Based on ANOVA test, geo-visualization, and the structural equation modelling, the study yields several findings. First of all, the geographic context based on residential neighborhood may lead to misunderstanding results, such as overestimating the contextual effects of neighborhood areas, and underestimating those of other activity places. Secondly, the effects of geographic context on individual behaviors show significant differences between the weekday and weekend.
These results imply that expanding our analytical focus to human mobility will considerably enrich our understanding on geographic context. The findings reveal trends similar to those observed in Western cities. Overall, addressing themes like these calls for further application of the space-time behavior perspective in revisiting and re-conceptualizing the traditional constructs.