To advance the global sustainable development agenda and uphold the emission reduction commitments of the Paris Agreement, this study is dedicated to exploring the potential of digital infrastructure construction in fostering carbon emission reductions. Drawing on panel data from 249 cities in China spanning the period from 2010 to 2021, we empirically analyze the impact, mechanisms, and heterogeneous effects of digital infrastructure construction on urban carbon emissions using a two-way fixed-effect model. Furthermore, we delve into the carbon-reducing effects of new-type digital infrastructure construction. The research findings indicate that digital infrastructure construction can significantly decrease urban carbon emissions; it achieves this by enhancing urban green innovation and heightening public environmental awareness, thereby further reducing urban carbon emissions. In city samples located in western regions, with higher government fiscal expenditures and better foundations for new energy utilization, the promotional effect of digital infrastructure construction on urban carbon emission reductions is more pronounced. Additionally, new-type digital infrastructure construction demonstrates a significant reduction in urban carbon emissions, and where new-type digital infrastructure is well developed, the carbon-reducing effect of digital infrastructure is even more evident. This study deepens our understanding of the mechanisms through which digitization empowers carbon emission reductions and the regional variations involved, providing empirical evidence for governments to formulate differentiated policies on digital infrastructure construction and carbon emission reductions. In future research, we plan to expand the scope of our investigation to more countries and regions globally; concurrently, we will conduct an in-depth analysis of the long-term effects of digital infrastructure construction on carbon emissions.

Transport infrastructure plays a crucial role in facilitating the high-quality development of new urbanization. Based on the provincial panel data of 31 provinces in China from 2013 to 2020, this study empirically analyzed the impact and mechanism of transportation infrastructure on the high-quality development of new urbanization from multiple perspectives. The results showed that transportation infrastructure can significantly promote the development of new urbanization, and the promoting effect was significantly positive in the eastern and western regions, while it was positive but not significant in the central region. Transportation infrastructure can promote the development of new urbanization by promoting industrial agglomeration. When the population density is lower than the corresponding threshold value, the transport infrastructure can significantly promote the development of new urbanization; when the population density is higher than the corresponding threshold value, the transport infrastructure will significantly hinder the development of new urbanization. Transport infrastructure has a significant positive spatial spillover effect on the development of new urbanization, and the positive spatial spillover effect has been significant in the eastern, central and western regions.

The coupling and coordinated change characteristics of land-use production, living, and ecological functions (PLEFs) and their relationship with human activity intensity (HAI) in ecologically fragile areas are important to study, especially in promoting the sustainable development of regional land-use and revealing the evolution of the human–land relationship. In this paper, the coupling coordination degree (CCD) model was used to analyze the coordinated development level of PLEF in Wanzhou District from 2000 to 2020. The HAI was measured by the equivalent of construction land. The synchronous development model was introduced to analyze the relationship between them. The results showed that, in Wanzhou District, the PLEFs showed significant spatial distribution differences and evident spatial complementarity. The PLEFs of Wanzhou District were at a good coordination level, but exhibited a downward trend. A spatial pattern of “high in the west and low in the southeast” was presented. The CCD of the production–living function was poor, which is the critical direction of future optimization. The value of HAI in Wanzhou District showed an increasing trend and exhibited a high concentration in the central town and its surrounding regions. According to the synchronous development state of the HAI and the CCD of the PLEFs, Wanzhou District was divided into three development types. The development type of most areas of Wanzhou District was positive, but the area decreased over the past 20 years. Therefore, it is crucial to propose other regulatory strategies for regions with different development types. This research will provide a decision-making reference for promoting the coordination of the PLEFs and alleviating human–land relations in the reservoir area of central and western China, mountainous regions, and similar areas in developing countries.

Understanding how comprehensive transportation network resilience emerges from complex causal interactions is essential for developing adaptive and sustainable regional transportation systems. Addressing the inability of conventional regression approaches to capture configurational effects among multiple factors, this study applies fuzzy-set qualitative comparative analysis (fsQCA) to identify pathways leading to high transportation network resilience in the Chengdu–Chongqing region. Using 209 city-year observations from 19 cities during 2014–2024, this study considers resilience as the outcome condition and incorporates ten antecedent conditions into the configurational framework. After direct calibration, necessity analysis, sufficiency analysis, and robustness tests are conducted. The results show that: (1) no single condition is necessary for achieving high resilience, confirming its configurational nature; (2) three equivalent pathways are identified: an economic foundation and digital infrastructure-supported pathway, an industrial–fiscal–governance collaborative low-risk pathway, and a fiscal–digital governance compensatory pathway under economic constraints. These pathways achieve an overall solution consistency of 0.9543 and coverage of 0.4223; (3) spatial structures significantly shape resilience outcomes, with the absence of high network dominance and low dual-core dependence consistently emerging as key conditions; (4) robustness tests confirm the stability of the configurations; and (5) differentiated strategies should be developed according to cities’ resource endowments and spatial constraints. This study advances resilience research by revealing configurational mechanisms and provides policy implications for transportation resilience governance in the Chengdu–Chongqing region and beyond.