Wearable devices as an emerging technology to collect safety data on construction site is gaining increasing attention from researchers and practitioners. Given the rapid development of wearable devices research and the high application prospects of wearable devices in construction safety, a state-of-the-art review of research and implementations in this field is needed. The aim of this study is to provide an objective and extensive bibliometric analysis of the published articles on wearable applications in construction safety for the period of 2005–2021. CiteSpace software was used to conduct co-citation analysis, co-occurrence analysis, and cluster identification on 169 identified articles. The results show that 10 research clusters (e.g., attentional failure, brain-computer interface) were extremely important in the development of wearable devices for construction safety. The results highlight the evolution of wearable devices in construction-safety-related research, revealing the underlying structure of this cross-cutting research area. The analysis also summarizes the status quo of wearable devices in the construction safety field and provides a dynamic platform for integrating future applications.

As a new model of urban governance with Chinese characteristics, the national honored cities from city evaluation competitions, represented by the “National Civilized City” campaign, has always been popular among Chinese cities. Can the honored cities of the campaigns achieve sustainable development, and how? Based on the five concepts of sustainable development, which are innovation, coordination, green, openness and sharing, this study sets up a comprehensive index to measure the sustainability of the growth of a city. Then, the data of 242 Chinese cities from 2011 to 2019 and the difference-in-differences (DID) approach are used to evaluate the impacts of the Civilized City honored in the campaigns on the sustainability of growth. The results show that: (1) the “Civilized City” honor promotes sustainable development in Chinese cities; (2) the mechanism analysis shows that the “Civilized City” honor contributes to the sustainability of growth by effectively promoting the level of industrial agglomeration in cities; (3) further heterogeneity analysis shows that the effect of the “Civilized City” honor on the sustainability of growth varies by city size, the administrative level and the location of the city. By providing the evidence of economic effects of the “Civilized City” honor, this research rationalizes the city campaigns run by the Chinese government and provides important enlightenment for the continuous improvement of the selection mechanism of the national honored cities to promote sustainable development.

This paper reveals temporal changes of housing inequality in housing space and access in urban China and explores the effects over time of underlying socioeconomic factors (education, occupation, industrial type, and migration status). Household-level micro data from 2000 and 2010 of the national population censuses were pooled. Our results showed that inequality in per capita space increased during the new century’s first decade, both within and between social classes. Regression analysis and Oaxaca-Blinder decomposition showed that although the changes in these socioeconomic factors partially explain the enlarged inequality in per capita space, the changes in these factors’ returns were the main causes. For housing access, there were no signs of prioritization in the allocations of state-subsidized housing for those in the low-ranked social strata. Further, the roles of education, occupation, and monopoly industry in accessibility to subsidized housing gradually weakened, and the allocation of subsidized housing began covering other households besides local urban residents.

Beijing’s real estate market, a key part of China’s economy, plays a crucial role in the nation’s development. Any downturn or collapse in housing prices in the city would have severe consequences for both the real estate sector and the broader economy. This paper aims to explore whether a housing price bubble existed in Beijing from 2014 to 2024. This study investigates the areas where these price bubbles are mainly concentrated, analyzing various indicators, such as the house price-to-income ratio, house price-to-rent ratio, and control charts. This study employs the rational expectations model to measure potential price bubbles, integrating these indicators to assess housing price volatility. The findings indicate clear signs of a housing price bubble in 2016 and 2017. From the perspective of Beijing’s districts, Huairou, Pinggu, and Miyun exhibited clear signs of housing price bubbles, while Changping, Shunyi, and Chaoyang displayed comparatively minimal housing price bubbles. This study utilizes nearly a decade of fresh district-level data to study housing price bubbles in Beijing, which contributes to the exploration of the risks associated with Beijing’s real estate market.

The ability of the cross-city commuting labor force to obtain housing has a profound impact on the development of the housing market and the enhancement of social welfare, but whether cross-city commuting has facilitated housing purchases remains to be verified However, the research on whether cross-city commuting behavior promotes labor force housing purchase in metropolitan areas is still lacking, especially in China, where the culture of buying houses is relatively special. This article used field survey data from the 2023 China Metropolitan Area Occupation and Housing Status Sampling Survey to empirically analyze whether cross-city commuting has facilitated housing purchases within metropolitan areas. The analysis was conducted by constructing a baseline model, a mediation effect model, and a subsample regression model. The results show that the cross-city commuting facilitated housing purchase within metropolitan areas, and the location preference is to purchase a house with a distance of 20–40 km from the workplace, but the contribution of the cross-city commuting to multi-suite purchases is relatively low. Mechanism analysis shows that compared to the workers who work and live in peripheral areas or the workers who work and live in cores, intercity commuters are promoted to purchase housing by relatively higher income and inducement of the housing price gap. The above conclusions still hold after controlling potential endogeneity issues and in robustness tests. The research of this paper can provide a new perspective for alleviating the housing inequality in the metropolitan area.

In this study, we examine the dynamics of housing prices across 35 Chinese cities from 2010 to 2024 using an error correction model (ECM). Using two-stage least squares (TSLS), we address endogeneity in housing stock. The results show a stable long-run relation between housing prices, income, user cost, and employment. The findings indicate that user cost exerts a significant negative pressure on housing valuations. While housing stock exhibits a positive, long-run correlation with prices due to rapid urbanization, its expansion effectively dampens price growth in the short term. We also find differences across market segments. The newly built housing market returns to equilibrium in about 33 months, while the second-hand market requires about 60 months. These results underscore the necessity of considering segment-specific adjustment speeds and fundamental drivers when formulating urban housing policies in China.