Bing Wang

Land and industrial systems form the cornerstone of regional sustainable development. Widespread misuse of land often accompanies industrial structure evolution (ISE), making the promotion of comprehensive land use benefits (LUB) a pivotal obstacle to regional sustainability. This study establishes an integrated framework to evaluate the dynamic characteristics of ISE and its interactive responses to multidimensional (ecological, social, and economic) LUB. The ISE assessment covers long-term changes in industrial investment, employment, and economic output, while LUB systematically integrates the ecological, social, and economic values of land resources. Combined with an enhanced genetic algorithm, a multi-objective optimization model is constructed and applied to 33 counties in Zhejiang Province, China. The results indicate that regional LUB exhibits obvious spatial heterogeneity and staged evolution from 2000 to 2020, with the regional industrial structure transforming from industrial-driven to service-oriented. The proposed model formulates targeted industrial adjustment pathways to resolve tertiary industry overinvestment and unbalanced secondary industry development. The optimization effectively promotes comprehensive land use sustainability, realizing differentiated regional progress including economic upgrading in the east, multidimensional coordination in the south, social benefit improvement in the north, and ecological sustainability promotion in the west. This study provides theoretical and practical references for high-quality regional sustainable development.

While previous studies of micro-housing have primarily relied on qualitative methods or case-based analyses, this study deploys a more rigorous, data-driven approach. We construct a hand-collected dataset covering 11 major U.S. cities to enable a quantitative examination of this emerging housing form. Drawing on 40 variables from 32 projects, including locational data, physical characteristics, market performance, and amenity features, we identified five distinct micro-housing typologies: TechEd, Dependent, Stand-Alone, Luxury, and Affordable Sharing Economy. In the context of increasing remote work and the growing influence of the sharing economy, these distinct micro-housing types are becoming increasingly relevant as an urban development model. This paper represents a first step toward systematically understanding these building typologies and uncovers their locational patterns through empirical analysis.

This paper is the culmination of efforts by a group of participants at the 32^nd Annual American Real Estate Society Conference in Denver who met to discuss the future of real estate education, and its authors represent the diversity and breadth reflective of the field itself. Previous literature, spanning more than 50 years, has consistently maintained that the issues related to the study of real estate are too complex to easily resolve, resulting in a lack of consensus regarding an accepted body of knowledge. This paper is unique in that it not only identifies issues and challenges inherent in today’s academic climate, it also provides for a collection of options, both applied and aspirational, that build on existing and potential structures. Indeed, the authors do not believe that there is one best model for the future of real estate education, nor that we should expect there to be. Rather, this paper is an important addition to the existing body of literature for its identification of solutions that embrace the breadth of both practical and academic knowledge in the expansive and ever-evolving field of real estate.

The pace and scale of change in today’s digitized and knowledge-based economy is fueled by technology that is increasingly playing a significant role in the unprecedented transformation of the buil...