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The construction models of smart cities and low-carbon cities are crucial for advancing global urbanization, enhancing urban governance, and addressing major urban challenges. Despite significant advancements in smart and low-carbon city research, a consensus on their coupling coordination remains elusive. This study employs mixed-method research, combining qualitative and quantitative analyses, to investigate the coupling coordination between urban smart performance (SCP) and low-carbon level (LCL) across 52 typical smart and low-carbon pilot cities in China. Independent evaluation models for SCP and LCL qualitatively assess the current state of smart and low-carbon city construction. Additionally, an Entropy–TOPSIS–Pearson correlation–Coupling coordination degree (ETPC) analysis model quantitatively examines their relationship. The results reveal that smart city initiatives in China significantly outperform low-carbon city development, with notable disparities in SCP and LCL between eastern, non-resource-based, and central cities versus western, resource-dependent, and peripheral cities. A strong positive correlation exists between urban SCP and overall LCL, with significant correlations in management, society, and economy, and moderate to weak correlations in environmental quality and culture. As SCP levels improve, the coupling coordination degree between the urban SCP and LCL systems also increases, driven primarily by economic, management, and societal factors. Conversely, the subsystems of low-carbon culture and environmental quality show poorer integration. Based on these findings, this study proposes an evaluation system for smart and low-carbon coupling coordination development, outlining pathways for future development from the perspective of urban complex systems.

Cities are exposed to a growing complexity, diversity and rapid socio-technical developments. One of the greatest challenges is as of how to become fully inclusive to fit the needs of all their citizens, including those with disabilities. Inclusive city, both in theory and practice, still lacks attention. Even in the context of ambitious contemporary concepts, such as smart and sustainable city, the question remains: Do smart and sustainable cities consider inclusiveness of all their inhabitants? Among numerous evaluation systems that measure city’s smartness, sustainability or quality of life, those tackling inclusion are very rare. Specifically, disability inclusion is hardly covered. This may be one of the reasons why cities struggle with applying disability inclusion to practice in a holistic and integrative way. This paper proposes a Disability Inclusion Evaluation Tool (DIETool) and Disability Inclusion Performance Index (DIPI), designed to guide cities through a maze of accessibility and disability inclusion related requirements set within the political, legislative and standardization frameworks. The testing in two European cities shows that the tool is beneficial for providing diagnosis as to how disability friendly a city is, and as such offers an opportunity for designing informed corrective measures towards disability inclusive city design.

While smart city transformation is a remarkably popular topic among urban policymakers across the globe, there is little evidence on how to evaluate a city’s smartness level accurately. This study aims to bridge this knowledge gap by applying a novel assessment framework to a case study context and generating useful insights. To achieve this aim, the study evaluates the smartness levels of 27 Brazilian state capital cities through the indicators of productivity and innovation, livability and well-being, sustainability and accessibility, governance and planning, and connectivity and innovation. This urban smartness analysis is conducted through a smart city assessment framework that brings up three categories of smart city performance types—i.e., leading, following, and developing. The findings of the analysis revealed that the common characteristics of cities with leading smartness performance are having: (a) a strong innovation ecosystem; (b) Specific legislation for developing entrepreneurship; (c) Training opportunities for skilled labor; and (d) Conditions for knowledge-based development and digital transformation offerings and readiness. The analysis identified the smartest cities in Brazil as follows: Florianópolis, São Paulo, Vitória, Curitiba, Porto Alegre, Brasília, Belo Horizonte, Rio de Janeiro, and Cuiabá. This study offers insights from the application of a novel method in the Brazilian context for the local authorities to consider adopting for smart city performance and progress analyses and subsequently making necessary interventions to transform their smart city policy and practice to realize their desired goals.

For a city to perform successfully, and its citizens to feel safe and comfortable, the health of basic urban components and the overall resilience of the urban system is crucial. As the importance of the resilient urban system has been recognized in the scientific literature, many studies have been done on this topic. Therefore, to find out the gaps in the existing literature and the opportunities for further research, a new systematic literature review has been performed in three stages. Different bibliographic techniques (co-occurrence and co-citation analysis) have been applied and, in the final stage of the analysis, an in-depth study of the content of the selected papers addressing open space in relation to urban seismic resilience has been carried out. The obtained results and trends have shown a lack of research on the potential of open space for enhancing urban seismic resilience, as well as a challenge for its quantitative assessment. The ability of the affected resilient system is to achieve at least a pre-disaster performance level in an acceptable time, which can be gained, among others, by using the restorative potential of open space. Based on the synthesis of these findings the authors’ draft model of an urban system integrating the potential of open space is presented in terms of a complex network theory.

The fundamental goal of this research is to investigate the quantitative relationship between technology-oriented knowledge management, innovation, e-governance, and smart city performance using knowledge management-based service science theory and diffusion of innovation theory. Previous research has found a connection between knowledge management, innovation, e-governance, and e-service delivery. We believe these are not only direct connections but also contextual and interactive relationships, so we explored the significance of innovation as a mediator between knowledge management and e-service delivery. Furthermore, we investigated the moderating impact of e-governance on the relationship between innovation and e-service delivery. A survey questionnaire was administered to the population of public officers, entrepreneurs, and citizens, from metropolitan cities for data sampling, and SPSS was applied to analyze data of 569 participants collected from South Korea, Pakistan, Japan, and Bangladesh. We discovered from the analysis that the direct relationships are contextual because innovation mediates the relationship between knowledge management and e-service delivery, and e-governance plays a moderating role in the relationship between innovation and e-service delivery. Based on the outcomes from quantitative analysis, all our proposed hypotheses in this study were supported significantly.

Green City Index as a reference to measure environmental performance and improve environmental quality. The growth and development of cities raises environmental problems, especially for cities that have strong connections to the capital of Indonesia such as Depok City. This study aims to obtain the value of environmental performance in the city of Depok with quantitative methods based on the Green City Index with eight assessment categories. The results of this study indicate that the environmental performance of the City of Depok with an average percentage of all categories of 50.2%. Average performance falls into six categories, namely, Energy and CO2, Land Use and Building, Waste, Sanitation, Air Quality and Environmental Governance. While the below average performance in the Transport and Waste category and above average performance in the Water category. For the assessment of community perceptions through the Index of Happiness obtained by 60% of happy people, 23% of people are very happy and 17% of people less happy about the state of the surrounding environment. So it can be concluded that the majority of the people of Depok City are happy living in Depok City with the current environmental conditions.

This study uses indicators to evaluate the progress made by Italian cities in the smart mobility sector, in order to understand how these cities have approached the new guidelines imposed by the European Union, and how they have implemented the European changes. Specifically, this study analyses the evolution of public transportation systems, using a sample of twenty-two Italian cities for three successive time periods (2005, 2010, and 2015). The outcomes identified are then linked to funding provided for the implementation of projects related to smart mobility in the cities studied, in order to verify possible correlations between the growth of these services and European and national financial investments. The data analysis shows remarkable progress in the field of sustainable mobility, especially between 2010 and 2015 as well as how this progress is linked to significant financial support that favours the realization of projects related to smart mobility.

To achieve carbon peak targets, realize carbon neutrality vision, and tackle global climate change, China must improve the carbon emission performance at the city level. Based on the carbon emission performance of 191 prefecture-level cities in China from 1997 to 2017, this paper analyses the evolution characteristics of urban carbon emission performance from three aspects: the overall spatial and temporal evolution, the differences according to both region and city size, and the differences among clusters categorized by carbon emission performance at the city level. This paper also reveals the impact of the social and economic transition on China’s carbon emission performance. The results show that: (1) The overall level of carbon emission performance of Chinese cities is low, and there is a downward trend during the study period. The differences in carbon emission performance among cities are convergent, but there is a wide gap between high and low values. (2) The carbon emission performance of cities in eastern coastal areas is higher than that in non-coastal areas cities. Large urban agglomerations and economically developed regions, such as provincial capitals, are the agglomeration areas of high urban carbon emission performance values. (3) The carbon emission performance level of cities with similar sizes will converge. At the same time, such changes will enhance the differences among carbon emission performances at the city level within the same region. (4) Cities that belong to high urban carbon emission performance clusters are mainly distributed in the eastern region. Such cities are classified into large cities, supercities, and megacities. Compared with low urban carbon emission performance clusters, cities in high urban carbon emission performance clusters show a higher proportion in the medium-high level and high level of carbon emission performance. Moreover, cities in high urban carbon emission performance clusters are more likely to improve theirurban carbon emission performance. (5) The economic agglomeration effect, industrial structure adjustment and carbon intensity reduction have a significant impact on improving urban carbon emission performance. Population agglomeration has an incremental effect, and the anticipated benefits of environmental regulation have yet to be fully realized. The impacts of different clusters and different regions are variable. Finally, this paper advances policy enlightenment according to its research findings.

Effective station–city integration is crucial for sustainable development around high-speed rail stations. However, research assessing public preferences regarding the aspects of this integration remains limited. We constructed a performance evaluation model for station–city integration in high-speed rail station areas. By considering the high-speed rail station area in the Yangtze River Delta region as a research object, which is located in the metropolitan cities centered on Shanghai, China, we dissected the five dimensions of population, industry, land use, function, and environment into 15 indicators that flow into the three value objectives of attraction–retention–integration (NPI). Subsequently, we systematically analyzed the performance differentiation characteristics of station–city integration in the Yangtze River Delta region’s high-speed rail station areas by employing a multiple regression model to delve into the influence mechanisms affecting the performance differentiation patterns of station–city integration. Our findings indicate the following. (1) Regarding station–city integration performance grade differentiation, a few high-speed rail station areas in the Yangtze River Delta region exhibit a high-efficiency integration level, whereas more areas fall within the higher and general integration levels. (2) Spatially, the station–city integration performance in high-speed rail station areas within the Yangtze River Delta region exhibits a distinct distribution characterized by “high-grade point-block dependence and low-grade concentrated contiguous patches.” (3) The spatial distribution of the five dimensions of station–city integration performance exhibits significant disparities. (4) Regarding the development types of station–city integration performance advantages, efficient integration of stations and cities represents a multidimensional advantageous development type and higher integration falls into the same category. (5) Station–city integration performance results from the comprehensive effects of four factors: government policy inducement, station energy level attraction, station–city relationship adhesion, and urban energy level promotion. This study advances a systematic framework—encompassing performance measurement, mechanistic inquiry, and strategy formulation—for examining station–city integration in HSR station areas. By integrating the perspective of cyclical cumulative development into the node–place model from urban planning and geographical viewpoints, we articulate a new performance model that clarifies critical influencing factors and mechanisms, thus broadening the theoretical scope of HSR station area research. We believe that the NPI evaluation model can provide valuable insights for guiding the integrated development of high-speed rail station areas and enhancing the quality of urban development.

The aim of the paper is to provide an analysis of effectiveness indicators of city brand strategies drawing from the practices of 66 Polish district cities. The authors attempt to categorize the existing indicators and approaches to the evaluation of place brand effectiveness and identify potential gaps in measurement systems. Content analysis of strategic documents was performed in order to determine the perspectives applied to the practice of effectiveness measurement. The results were subsequently juxtaposed with selected theoretical constructs relevant for brand strategy effectiveness measurement, including a place brand equity model and logic framework. The measurement of place brand performance as such is often neglected by public authorities and brand consultancies alike. In the meantime, a wide range of indicators needs to be developed in order to mirror the breadth and depth of the impact of place brands on the realities of places. Following an up-to-date analysis of the literature and practices of Polish district cities, the authors conclude that the currently employed measurements of the effectiveness of city branding are not sufficient to evaluate the outputs, outcomes, and impacts of city brand strategies. Furthermore, they propose their own approach to how the indicators should be structured to perform a sound verification function over the branding practices of territorial entities.