In the current era, as modern cities increasingly face environmental disasters and inherent challenges, the creation and enhancement of resilient cities have become critical. China’s urban resilience exhibits significant imbalances and inadequacies at the provincial level. This study delves into the evolution of urban resilience in various Chinese provinces, offering valuable insights for building and nurturing resilient cities. Initially, a comprehensive evaluation system for China’s urban resilience was established, incorporating 24 indicators across three key resilience aspects: resistance, adaptability, and recovery. The entropy weight method was used to develop an urban resilience evaluation model, and the Moran index and spatial cold–hot-spot analysis were applied to examine the spatiotemporal dynamics of urban resilience across China’s 31 provinces from 2012 to 2021. Moreover, the geographically and temporally weighted regression model was employed to analyze the spatial distribution of factors affecting urban resilience. The results show a general upward trend in urban resilience across Chinese provinces, with notable regional differences and concentrations. A significant decrease in urban resilience is observed from southeastern coastal cities to inland regions. The regression model highlights spatial variations in the impact of different factors, with the same factor having varying effects in different provinces. This research provides a thorough understanding of the factors influencing urban resilience in China, contributing to both theoretical and practical discussions on the topic. It lays a strong scientific groundwork for the development and advancement of resilient cities in China.

With the ongoing intensification of VUCA environment, enhancing service innovation performance has become a crucial choice for enterprises striving for sustainable development. The emergence of digital transformation offers construction enterprises an opportunity to bolster their service innovation performance. However, effectively leveraging digital transformation for this purpose remains a formidable challenge. Therefore, this study proposes a theoretical model from the perspective of Resource-Based View, named “Digital Transformation-Dual Innovation-Service Innovation Performance”, to explore the impact of digital transformation on the service innovation performance of construction enterprises. This model proposes the impact path of digital transformation on service innovation performance, as well as a mediating role of dual innovation in this relationship. A questionnaire was designed and administered in China for collecting 291 valid responses. An analysis revealed that digital transformation exerts a positive impact on both dual innovation and service innovation performance, with the former proving to be more significant. Furthermore, dual innovation not only significantly enhances service innovation performance but also serves as a partial mediator between digital transformation and service innovation performance. The findings of this research clarify the internal mechanism by which digital transformation empowers service innovation in construction enterprises, offering insights for enhancing service innovation performance and achieving sustainable development.

Rapid urban development has promoted economic development, but it has also created social problems. Urban renewal provides an important means of achieving sustainable urban development. After 2012, it became a research hotspot with people-oriented and organic renewal concepts. To understand the research trends in urban renewal during 2012–2022, a comprehensive bibliometric analysis was conducted to identify research progress, fields, hotspots, and trends. The core collection is based on the Web of Science (WoS) database, with a total of 2692 publications. The volume of publications, journal of publication, country, institution, research scope, and keywords were selected as the object of analysis. The results reveal that since 2012, the volume of urban renewal articles has been gradually increasing, reaching a maximum of 417 in 2022. China is the largest and most influential country in terms of the number of articles published, but the cooperation between institutions and authors is not strong. The research hotspots can be summarized as the connotation and practice of urban renewal, approaches to urban renewal, and sustainable urban development. Future directions for research are identified as including an innovative multi-corporate governance model, community-based renewal, further exploration of sustainable renewal practices, and interdisciplinary applications of urban renewal.

Relational governance, as a flexible and informal mechanism, plays a critical role in addressing the challenges of construction projects in the VUCA environment. However, existing research has rarely examined relational governance mechanisms from a resilience perspective. Furthermore, current studies on organizational resilience often overlook static characteristics, leaving the interplay between static and dynamic resilience underexplored. To address this gap, this study aims to explore how relational governance influences project performance through organizational resilience, with a focus on the mediating roles of static resilience and dynamic resilience. Empirical data were collected through 270 construction professionals, with questionnaire design refined through expert interviews and a pilot study to ensure validity and reliability. Partial least squares structural equation modeling (PLS-SEM) was employed to assess relationships. The findings indicate that relational governance positively influences addressing opportunistic behaviors of construction participants and improving project performance. Mutual trust and timely commitment among project participants in relational governance significantly impact both the static characteristics and dynamic capabilities of construction projects. Additionally, organizational resilience partially mediates the relationship between relational governance and project performance. This study advances the understanding of the mechanisms linking relational governance and project performance from a resilience perspective and provides actionable insights for fostering efficient governance practices.

Prefabricated construction has garnered widespread attention worldwide. As an important part in purchasing management, prefabricated component suppliers (PCSs) undertake the bulk of the work and responsibility in the supply chain from on-site to off-site. Therefore, it is crucial and necessary to establish a decision-making framework to comprehensively evaluate the performance of PCSs. This study proposed a set of performance indicators for PCSs, including component quality, cost, delivery capability, service level, enterprise development potential, and enterprise cooperation potential. A hybrid method was established to evaluate the integrated performance of PCSs based on Analytic Hierarchy Process (AHP)–entropy weight and cloud model. It integrated the AHP and entropy weight method to calculate indicator weights, while the cloud model was employed to transform qualitative characteristics into quantitative ones. To verify the feasibility of this method, an empirical study was subsequently conducted using a typical case from China. The obtained results demonstrate that the overall performance of Supplier A lies at the “good” level, with the similarity index between the comprehensive cloud model and the standard cloud model within the good range, at 0.4045. Among the six primary indicators, quality performance scored the highest at 0.65, meeting the “excellent” standard. It can be seen that the hybrid approach of AHP–entropy weight and cloud model accurately and effectively demonstrates the integrated performance of PCSs. The main aim of this study was to establish a comprehensive system and develop a novel approach for evaluating the performance of PCSs within a hesitant fuzzy environment. The findings of this study can provide guidelines for researchers and the public to evaluate PCS performance, contributing significantly to the fields of supply chain management and construction engineering. Moreover, it provided a practical tool for professionals in the industry to enhance the supplier selection processes.

In pursuing low-carbon solutions in the construction sector, it is critically essential to unravel the intricate nexus between population aging and carbon emission efficiency (CEE). This research investigates this complex association utilizing provincial panel data from 2004 to 2020. Through the application of the super-efficient Slack-Based Measure and Malmquist–Luenberger (SBM-ML) model, the study quantifies the construction industry’s CEE, followed by using a fixed-effect model to assess population aging’s impact on CEE in the construction industry. Our study reveals a distinct “U”-shaped pattern, illustrating that population aging initially depresses but eventually amplifies CEE in the construction industry. We also observe marked regional disparities. For instance, the construction sectors in the eastern and northern regions show a rising trend, counteracting the initial decline in CEE due to aging. However, the central western and southern regions need more pronounced aging progression to experience comparable CEE improvement. These findings underscore the critical role of regional contexts and demographic transitions in shaping the CEE in the construction industry, providing valuable insights for crafting sustainable policies aiming at balanced population mobility and carbon neutrality.