Yuqing Zhang

This study analyzes 17,538 textual posts from 5,890 child-rearing mothers across nine cities in Northeast China’s “Mama.cn” community, employing LDA topic modeling and fine-grained sentiment lexicon analysis to systematically examine how online communities empower mothers in addressing parenting challenges. Key findings reveal: (1) Maternal discussions coalesce around five core themes—Childcare (Information Support), Lifestyle (Social Comparison), Healthcare (Mutual Aid), Aspiration Expression (Emotional Bonding), and Emotional Venting (Esteem Support), with the integration of traditional cultural symbols like “Buddha” and “blessing” demonstrating localized strategies in digital motherhood practices; (2) Developmental stages dynamically shape participation patterns: peak nocturnal activity (22:00–00:00) among mothers of infants (0–1 year) reflects sleep deprivation stress, while dramatic engagement decline post-child’s second birthday suggests workforce re-entry and intergenerational support interventions; (3) Sentiment analysis indicates 75.7% positive emotional expression, yet Theme 5 exhibits paradoxical coexistence of high-frequency distress terms (“breakdown,” “insomnia”) with linguistic cosmetic strategies (e.g., framing “help-seeking” as “experience sharing”), revealing characteristic pressure-concealment in online discourse. Theoretically innovating through integrating developmental stage theory with digital motherhood frameworks, this research uncovers mothers’ anonymous negotiation mechanisms reconciling the “myth of ideal motherhood” with practical contradictions. These findings provide interdisciplinary insights for optimizing online parenting support systems within China’s low fertility rate context.

Cities encounter increasing risks and challenges under new development patterns, and digital economy (DE) can drive cities’ improved resilience to natural and social uncertainties. Based on data collected on the Yangtze River Economic Belt from 2011 to 2021, the development situation of the regional DE and urban resilience (UR) was measured, and the impact mechanisms of the DE on UR were analysed theoretically and empirically using a benchmark regression model. The findings are as follows: The benchmark test revealed that the DE development contributed significantly to UR in the region. The mediating effect test revealed that the DE improved UR through two pathways: industrial structure upgradation and energy restructuring. The moderating effect test suggested that environmental pollutant emissions had a negative moderating effect between the impact mechanisms of the DE, industrial structure, and energy structure and between the effects of industrial structure, energy structure, and UR, whereas CO₂ emissions had a positive moderating effect between the impact mechanisms of DE and industrial structure. Heterogeneity analysis indicated that the DE contributed positively to the UR except in the upstream region, where the coefficient of the DE was insignificant. Overall, this study highlights the crucial role of the DE in improving UR and elucidates the theoretical impact mechanisms of environmental pollution control and carbon reduction measures on UR.

Against the backdrop of global climate change, climate change has become a major factor affecting the suitability of living environments. Therefore, in this study, based on multi-source remote sensing data and geospatial analysis methods, we selected the annual land surface temperature (LST) and normalized difference vegetation index (NDVI) in 2022 of the Chengdu–Chongqing urban agglomeration in China as driving indicators. Combined with meteorological data (temperature [T], humidity [U], and wind speed [K]) to construct the comfortable index of human body (IBC) to quantify regional climatic comfort. The results were as follows: (1) The IBC averages were 75.620 (summer) > 60.448 (autumn) > 59.922 (spring) > 42.743 (winter), showing a spatial pattern of high values in the middle and low values on the four sides. T was the primary factor influencing annual IBC. (2) We discussed the relationship between IBC and NDVI, air quality index (AQI), LST, and relief degree of land surface (RDLS) under ordinary least square method, geographically weighted regression (GWR), and multiscale GWR (MGWR) models. The MGWR model had the highest fitting accuracy, of which the spatial interaction between IBC and each driving factor was LST > RDLS > AQI > NDVI > POP in spring and summer and LST > RDLS > AQI > POP > NDVI in summer and autumn. (3) The climate comfort of natural type local climate zone (LCZ) was high in spring and summer, while the IBC of LCZ corresponding to building type was high in autumn and winter. This study is crucial for understanding the suitability of urban living environments and provides a reference for urban development planning.

Urban blue–green spaces(BGS) exhibit a remarkable cold island (CI) effect, and research on heat mitigation measures based on CIs has attracted considerable attention. However, few studies have been conducted on mitigating urban overheating by connecting isolated CI patches to form CI networks. Therefore, this study aimed to explore the framework and specific processes for building an urban CI network in Hangzhou, China. The CI network construction framework consisted of “source identification-resistance surface construction-corridor construction”. Based on morphological spatial pattern analysis, local climate zone (LCZ) theory, connectivity index, and circuit theory, the CI sources and cooling corridors were identified and classified, and the pinch and barrier points in the network were determined. The results indicated that the CI network in Hangzhou comprised 69 CI sources, 134 cooling corridors, 36 pinch points, and 89 barrier points. Based on these results, we recommended that the LCZs in the CI network that are dominated by water (LCZG) and dense trees (LCZA) be protected and areas that are dominated by bare rock or pavement be improved. This study and methodology can provide new inspiration for future planning of urban BGS and sustainable urban cooling.

China suffered from severe economic stagnation and urban decay during the COVID-19 pandemic, even public mental health was threatened. To create a favorable public consumption environment for enhancing the economic development, and meeting the needs of public life, the Chinese government has transformed and built a series of national night cultural and tourism consumption agglomeration areas as a new type of functional area in cities. The present study uses spatial analysis methods such as nearest neighbor index, nuclear density analysis, and coefficient of geographic association to quantitatively analyze the spatial distribution characteristics, equilibrium status, distribution density, and internal influential factors. The results showed the following. 1) The spatial distribution of night agglomeration areas in China is unbalanced, with a “rhombus-shaped structures, regional cluster distributions, and single nucleus aggregation points” combination of spatial distribution characteristics. 2) Eight different types of night agglomeration areas with distinctive features, large differences in spatial density, and significant geographical differentiation were identified. 3) The formation of spatial distribution patterns of night agglomeration areas was the result of the joint influence of five factors: resource endowment, economic level, transportation location, guest market, and policy environment. Understanding the current development of night agglomeration areas in China can lay the foundation for future in-depth studies on the spatiotemporal evolution of China's night tourism economy, as well as provide an urban renewal idea and experience for other global countries and regions that are facing economic crises, low urban land use efficiency, and obstruction in promoting new urbanization.

Urban parks can effectively reduce surface temperatures, which is an important strategic approach to reducing the urban heat island effect. Quantifying the cooling effect of urban parks and identifying their main internal influencing factors is important for improving the urban thermal environment, achieving maximum cooling benefits, and improving urban sustainability. In this study, we extracted data frobut this is often unrealisticm 28 urban parks in Zhengzhou, China. We combined multivariate data, such as Landsat 8 data, to retrieve the land surface temperature (LST), extract the park interior landscape, and quantify the cooling effect using three cooling indices: park cooling distance (L_∆max), temperature difference magnitude (∆T_max), and temperature gradient (G_temp). Furthermore, the relationship between the internal landscape characteristics of the park and the average LST and cooling indices of the park was analyzed. The results showed that different buffer ranges affect the LST-distance fitting results of urban parks, and a 300-m buffer zone is the optimal fitting interval. However, specific parks should be analyzed to select the optimal buffer range and reduce the cooling index calculation errors. Additionally, the mean values of LST, ∆T_max, L_∆max, and G_temp for the 28 parks in Zhengzhou were 34.11, 3.22 °C, 194.02 m, and 1.78 °C/hm, respectively. Park perimeter (PP), park area, internal green area (GA), and landscape shape index (LSI) were both significantly correlated with ∆T_max and the main factors associated with maintaining a low LST in parks. L∆_max was mainly affected by the GA, LSI, and perimeter-area ratio, whereas G_temp was positively correlated with PP. Finally, the threshold value of efficiency for parks in Zhengzhou was 0.83 ha, and comprehensive parks showed optimal cooling in every aspect.

Urbanization as a human activity alters the surface structure, modifying the urban ecological environment. In this study, the greenness, wetness, building index, and heatness of Dalian, a coastal city in northeast China, were extracted from the summer MODIS remote sensing data of 2010 and 2022, and the remote sensing ecological index (RSEI) was created based on spatial principal component analysis. The artificial impervious surface fraction (AISF) in Dalian was extracted to analyze the impact of urban expansion on urban ecological environment with the background of urbanization, the spatial and temporal change characteristics of the urban ecological environment in Dalian from 2010 to 2022 were thoroughly evaluated. The results show that: (1) Dalian's RSEI in 2010 and 2022 primarily ranged from 0.2 to 0.8. During 2010-2022, the RSEI in urban built-up areas decreased from 0.2-0.4 to 0-0.2. However, the areas of RSEI approaching 1 have increased significantly in the past ten years, mainly distributed in original forest land or ecological land in the northern areas of Dalian. (2) From 2010 to 2022, Dalian's natural environment showed a positive development in which, the area with enhanced ecological quality accounted for 59.09%; however, the proportion of ecological land with RSEI greater than 0.8 declined from 76.64% to 51.05% and the proportion of urban building land rose from 1.11% to 11.85%, demonstrating that urbanization has had a substantial impact on the urban natural environment and has altered the urban land use structure. (3) The AISF of Dalian's urban center area was found to exceed 70% and is centered in the south's densely built-up area. The urban expansion boundary extending from the city center to the surrounding territory has an AISF ranging from 20%–70%. This study objectively analyzed the geographical and temporal features of the ecological environment, as well as the impact of urbanization, and offers constructive recommendations for urban building design and population distribution optimization.

The education level and social participation of contemporary Chinese women have reached their historical peak; work is fast becoming the dominant theme of their lives. However, influenced by traditional attitudes, women are still expected to undertake the main family care tasks, thus, facing dual constraints of family and work, which seriously affect their life happiness. Based on the theory of subjective well-being and feminist geography, this study used the questionnaire survey and in-depth interview results of professional females in Dalian High-tech Industrial Zone as basic data to explore the life satisfaction and emotional cognition in intra- and extra-household life of professional females (Professional females: In this study, they are the women who have received formal education and currently have full-time and steady job (including regular employees in the national systems and those who have signed labor contracts with labor units).). The following results were obtained: (1) Most professional females reported higher life satisfaction in intra- rather than extra-household life, and it varied with individual attributes, reflecting the internal differences among them. (2) The positive emotions of professional females came from the company of family and friends in intra-household life, and satisfaction with the working environment and treatment in extra-household life. (3) The negative emotions came from the pressure of “marriage,” “birth,” and other traditional concepts in intra-household life. In extra-household life, it came from the health problems caused by working stress, interpersonal problems and gender inequality in the workplace, and the anxiety of age and future career development. Therefore, this study committed to revealing the living status and subjective feelings of contemporary professional females in China, hoping to improve women’s life quality and enhance their life happiness from a theoretical and realistic perspective.