The new quality productivity originates from the advancement of the times and technological innovation. Emerging technologies such as big data, artificial intelligence, and virtual reality are comprehensively reshaping the development paths and models of the tourism industry across various dimensions, including human-environment relationships, tourist behavior, and industry governance. The article points out that the rise of new quality productive forces is closely related to the rapid development of artificial intelligence technology. New technologies represented by big data, artificial intelligence, and virtual reality are reshaping the business forms and models of the tourism industry in an all-round way. This reconstruction involves not only the behavior and experience of tourists but also includes multiple aspects such as social interaction, local identity, and industry governance. The article, through the analysis of the comprehensive reconstruction of tourism by artificial intelligence, reveals the multiple impacts brought about by technological progress. On the one hand, technological empowerment allows tourists to experience tourism more deeply and personally, enjoying immersive and interactive tourism experiences; on the other hand, the development of technology also poses potential threats to the authenticity of places, the free and comprehensive development of individuals, and the perceptual experience of daily life. The article further discusses the 3 tendencies that need to be vigilant while promoting the high-quality development of the tourism industry with new quality productive forces: the dissolution of perceptual life, deprivation of local authenticity, and of deviation from the comprehensive development of individuals. The article emphasizes that the healthy development of technology should be centered on the comprehensive development of individuals, ensuring that technological progress serves the comprehensive progress of human society and the well-being of every individual.

Based on discussing the significant spatial heterogeneity of the three components of productive forces, this paper systematically analyzes the changes of regional attributes and spatial structure brought about by the emergence of new quality productive forces. Then, the basic law of the distribution of new quality productive forces is discussed from three aspects, such as new factors of new quality productive forces, territorial production complexes and national network systems. Subsequently, the evolution trends of new quality productive forces distribution is revealed. It is concluded that the mechanism of new transformation of production relations lies in the realization of the value of knowledge and the rationalization of benefit sharing, the changes and adaptive management of labor relations caused by digital intelligence, and the tradeoff between regional disequilibrium and spatial fairness caused by scientific and technological innovation ability. Repositioning the regional major functions, re-examining the regional comparative advantages and development paths, and re-constructing the interaction between different major functional zones are the main aspects of constructing the institutional system adapting to the new production relations based on the strategy of the major functional zones. The key points of supporting reforms to develop new quality productive forces according to local conditions are as follows: Focusing on improving scientific and technological innovation capacity, forming a mechanism and institution for the integration of science, technology, education and talents with local characteristics; focusing on scientific and technological innovation-driven development, forming a mechanism and institution for the spatial coupling and coordinated development of innovation chain and industrial chain; focusing on the systematic planning of a coordinated national response, forming a mechanism and institution for the production network and system for the formation of new quality productive forces by giving full play to the comparative advantages of different regions; focusing on open economic patterns, forming a mechanism and institution for new quality productive forces with competitive security and resilience.

Wetlands play an important role in flood regulation, water purification, and biodiversity maintenance, etc., which are closely related to human well-being and survival. Wetland science is an important part of geographical science and is of great significance in supporting scientific development and serving the construction of national ecological civilization. The National Natural Science Foundation of China (NSFC) is the main channel to fund basic research of Wetland Science, and the funding status can reflect the research hotspots and development directions in Wetland Science. In this study, 519 projects related to Wetland Science funded by the discipline of Geographic Sciences (application code D01) in 1986 —2023 were covered by titles or keywords including “ wetland” “marsh”“peatland”“mangrove” and “mudflat”. The systematic analysis was conducted from the perspectives of application code, research area, research content and keywords. The results show that the funded projects in Wetland Science have experienced two “decade” of rapid and steady growth from 2002 to 2012 and from 2013 to 2023; these projects are mainly concentrated in landscape geography and integrated physical geography (D0105), biogeography and soil geography (D0103) and remote sensing science (D0113). In terms of research objects, inland marsh wetlands and coastal wetlands are the main focus; in terms of research contents, “ remote sensing monitoring”“process”“climate change”“vegetation” and “function” appeared more frequently. The keyword network relationship shows that “remote sensing and spectrum”“remote sensing and vegetation” and “landscape and pattern” co-occur more frequently, which characterizes the geographical features of the current development of wetland science and the changing research methods. Currently, the Geographical Sciences Discipline of NSFC is further optimizing the branch discipline layout and keywords, strengthening the cross-field and cross-disciplinary interactions and fusions, guiding focus on the fundamental theories and frontier hotspots of wetland science, and promoting the high-quality development of wetland science research in China.

This study aims to examine the similarities and differences between Chinese and international geographical research by comparing and analyzing research hotspots from the 35th International Geographical Congress (35thIGC) and the 2024 Annual Meeting of the American Association of Geographers (AAG-AM), to provide insights for Chinese geographical research. We employed a Python-based web scraping program to extract and analyze report data from various countries ’ conference websites. Our analysis reveals commonalities in Chinese and international geographical research concerning global issues such as tourism, leisure and global change, and future Earth. However, some disparities exist in research foci and methodologies. At the 35th IGC, international research emphasized socio-cultural dimensions, including gender and geography, and cultural approach, while Chinese scholars focused more on areas closely aligned with national development strategies, such as land use and agricultural geography. Moreover, the 2024 AAG-AM data indicate that international research excels in environmental and Earth Sciences, GeoAI, and deep learning, whereas Chinese research concentrates on geospatial solutions for major challenges and human dynamics. This study suggests that Chinese geographical research could draw upon international experiences, adopt interdisciplinary research methods, utilize advanced technological tools, focus on social justice and cultural diversity, strengthen research in political geography and area studies, and enhance international cooperation. These efforts will elevate the international standing of Chinese geographical research and amplify its role in the global geographical arena.

There has long been a discursive separation between workspace and home. Based on the geography of home theory, this article explores the process of constructing home within the livelihood space of operational migrants through in-depth interviews and participatory observation. The findings reveal that the home-making practices of business migrants illustrate the coexistence of workspace and home. Firstly, a stable business location is central to the home-making efforts of business migrants, providing them with a sense of ontological security and belonging. Secondly, the practice of domesticating business space is crucial for the construction of a “livelihood home”. Through self-employment and family management, business migrants can flexibly navigate their business and family responsibilities,thereby integrating the boundaries between work and life. Thirdly, through their business activities, migrants develop a local network of business relationships, express a positive local identity,and integrate into their new environment. Business cooperation reinforces existing kinship and geographic networks, thereby maintaining close ties to their original home. This paper enriches the study of the geography of home, enhances our understanding of the multiple functions and scales of home, and constructs a theoretical framework for the “ home of livelihood” contributing to the comprehension of business-oriented migration from a geographic perspective.

Knowledge innovation network is the macro-geographical characterization of the cooperative relationship of micro-innovation subjects. The exploration of the structure of Chinese city tourism knowledge innovation network and its formation mechanism under the internationalization perspective is of great significance for tapping the internationalization level of city tourism knowledge, enhancing inter-city tourism knowledge cooperation and cultivating innovation growth poles. We constructed the tourism knowledge innovation network of Chinese cities with the co-authored thesis data of cities in “Web of science”, and analyzed the spatial and topological evolution characteristics of the network in the time periods of 2011—2014, 2015—2018, 2019—2022. The spatial and topological evolution characteristics of the network are analyzed in three periods of time, and then the weighted exponential random graph model (ERGM) is invoked to quantitatively study the influence of endogenous and exogenous factors on the formation and evolution of the network. The results show: 1) The scale of the network is expanding rapidly, and the overall strength and number of links are steadily increasing, with the spatial pattern changing from a simple structure with Hong Kong as the single center of radiation to a complex network with multiple centers of radiation; 2) The “ small world”character of the network is becoming more pronounced, and there is a clear tendency for cities to connect on the basis of merit; 3) The centrality of the nodes in the network varies widely, with Hong Kong, Macau, Guangzhou, and Beijing being the central cities for tourism knowledge innovation; 4) In terms of the driving mechanism, multiple factors such as self-organization, meritocratic connectivity, tourism research investment, domestic tourism income, per capita gross regional product, and social proximity combine to contribute to the formation and evolution of the tourism knowledge and innovation network, with the positive influence of city attribute variables being stronger than that of multidimensional proximity.

Bike-sharing is a new urban infrastructure with low-carbon and environmentally friendly pratices, directly contributing to the sustainable development of cities. However, most existing studies overlook both the distributed agency of bike-sharing and the dynamic ralational networks and operational logics underpinning it. Agency, as emphasized in assemblage theory, is not exclusive to humans but extends to non-human entities. Therefore, this paper adopts the urban assemblage perspective as its methodological freamework to analyze how bike-sharing is em-bedded into the fabric of everyday urban life and to uncover the theoretical logic behind this phenomenon. Urban assemblage provides a lens to navigate the complexity of urban systems, charac-terized by entangled materiality, emotions, governance, and non-linear causality. This study in-corpoates two axes of material/expressive and territorialization, and two core concepts, distributed agency and relations of exteriority, to reveal the “blackbox” of bike-sharing through qualitative research methods. First, it examines the temporarily stabilized, multidimensional relational network of “human-technology-bike-space”, explaining the daily practices of bike-sharing in urban public spaces through a dynamic and non-linear perspective. The findings highlight that bike-sharing emerges as a product of continuous negotiation between human and non-human elements. Second, the paper reflects on urban ontology, social-technological interaction and techno-logy influence on subjectivity, aiming to inspire social and cultural geographers to generate geo-graphical knowledge aligned with the global trends of urbanization and intelligence. Finally, through the interpretive framework of multiple power game and spatial evolution, the research broadens the scope of society-technology interactions, offering novel insights into the transforma-tion and sustainable development of Chinese cities from a new perspective.

In the digital age, network flow has profoundly altered both production and daily life, presenting new opportunities and challenges for places as well. The flow economy serves as a significant carrier of new quality productivity and a vital means to drive place development. Developing new quality productivity tailored to local conditions requires a key focus on the coupling relationship between flow and place. This study fo- cuses on the relationship between flow and place, summarizing the impact of flow on place development trends. It analyzes the restructuring of place by flow in spatial, emotional, social, and economic dimensions, constructing a schematic representation of the relationship between flow and place development. Three types of coupling between flow and place are delineated: strong coupling, weak coupling, and decoupling. Based on this analysis, suggestions for collaborative governance are proposed. Geography needs to enhance its interdisciplin- ary integration with other fields, delving deeper into the mutual shaping and construction processes and mech- anisms between flow and place. This will facilitate the innovation of place theories and serve the national strategy of modern governance. This endeavor seeks to provide a new theoretical foundation, practical strategies, and experiential insights for the localized development of new quality productivity, thereby promot- ing the sustainable development of the tourism industry with stability and long-term vision. Simultaneously, it aims to offer a fresh perspective for expanding and deepening research on the relationship between flow and place.

Optimizing land use objectives offers effective tools for judicious resource allocation. Simulating future land use and carbon stock changes is vital for formulating regional sustainability policies and enhancing terrestrial ecosystem carbon storage. This paper analyzed the spatial and temporal differences in land use and carbon storage from 2000 to 2020, predicted the spatial and temporal differences in land use changes and car-bon storage under four development patterns, namely, “natural development pattern (BAU), urban develop-ment pattern (RED), cultivated land protection pattern (CPS), and ecological protection pattern (EPS)” in 2030 by constructing the coupled land use model (PLUS-InVEST), and estimated the economic value of the carbon storage by combining the formula of compounded present value and compounded terminal value in Lanzhou City from 2000 to 2030. The results showed that land use changes were dominated by the decrease of grass-land area and the increase of building land area in Lanzhou City from 2000 to 2020, with a loss of 61.77×10⁴t of carbon storage during the 20-year period. With the exception of the EPS, in which the carbon storage in-creased by 5.09 ×10⁴t, all other scenarios showed different degrees of carbon loss compared to the 2020, with the largest loss of carbon in RED at 56.46×10⁴t. In this study, the economic value of carbon storage increased by 10.3×10⁸yuan in Lanzhou City from 2000 to 2020 through the compound present value method, which is mainly attributed to the significant increase in carbon price on the time scale. Compared to the economic value of carbon storage in 2020, the EPS has the highest economic value of carbon storage at 34.58×10⁸yuan, which is the optimal development model for the study area. This study has important practical significance for the low carbon development of land resources and scientific decision-making of ecosystem management in Lanzhou.

Return migration has become a notable socio-economic trend in the new stage of China's urbanization, and the analysis of its driving mechanism has received extensive academic attention. As a micro behavior, the return of migrants is not only affected by personal and family factors, but also closely related to external environment. However, existing studies have focused on the role of individual factors, but not enough research has been conducted on the relationship between regional contexts and return migration. We introduce a gradient boosting decision tree model in the field of machine learning, based on the data from the 2017 China Migrants Dynamic Survey, with the return intention as the response variable and the regional contexts—Both in the place of origin and destination—As well as migrants' personal and household factors as the explanatory variables, focusing on the non-linear influence of the regional contexts on the return migration intentions and the threshold effect. The results show that: 1) The total contribution of the local contexts of the place of place of the origin and destination to the intentions of the migrants to return is 44.1%, which is an important factor influencing the return intentions, and the contributions of the two places is roughly equal. Among these, medical and health resources and air pollution are extremely important in both places. In addition, economic growth in the place of origin is also important for the return intention of migrants, while the climatic condition in the place of destination is more important; 2) There are both non-linear and linear relationships between local contextual factors and migrants' intention to return. Among them, medical and health resources, basic education resources, air pollution have obvious non-linear effects on the return intention, while economic growth and temperature conditions have mainly linear effects; 3) The influence of individual factors on return intention is mainly nonlinear effect. There is an irregular U-shaped relationship between age, migration duration and return intention, and the non-linear influence of household income is more complex. There is an obvious threshold effect between household housing expenditure and return intention, and a negative correlation between migrant's education level and return intention. This study incorporates the local contexts of the place of origin and destination into the analytical framework for the mechanism of return migration, identifies the relative importance of the local context and individual characteristics of the two places on the return intention of the migrants, and reveals the specificity and complexity of internal return migration in China, which contributes to deepening the research on migration in the new era and provides scientific reference for policy makers.