Development Of Cities Research Articles

Towards SDG 11: Large-scale geographic and demographic characterisation of informal settlements fusing remote sensing, POI, and open geo-data

Informal settlements’ geographic and demographic mapping is essential for evaluating human-centric sustainable development in cities, thus fostering the road to Sustainable Development Goal 11. However, fine-grained informal settlements’ geographic and demographic information is not well available. To fill the gap, this study proposes an effective framework for both fine-grained geographic and demographic characterisation of informal settlements by integrating openly available remote sensing imagery, points-of-interest (POI), and demographic data. Pixel-level informal settlement is firstly mapped by a hierarchical recognition method with satellite imagery and POI. The patch-scale and city-scale geographic patterns of informal settlements are further analysed with landscape metrics. Spatial-demographic profiles are depicted by linking with the open WorldPop dataset to reveal the demographic pattern. Taking the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) in China as the study area, the experiment demonstrates the effectiveness of informal settlement mapping, with an overall accuracy of 91.82%. The aggregated data and code are released (https://github.com/DongshengChen9/IF4SDG11). The demographic patterns of the informal settlements reveal that Guangzhou and Shenzhen, the two core cities in the GBA, concentrate more on young people living in the informal settlements. While the rapid-developing city Shenzhen shows a more significant trend of gender imbalance in the informal settlements. These findings provide valuable insights into monitoring informal settlements in the urban agglomeration and human-centric urban sustainable development, as well as SDG 11.1.1.

Comparative Study of the Regulation and Planning of National Capital Authority-Owned Enterprises in Realizing Sustainable Development of the Nusantara's Capital City

After the stipulation of Presidential Decree no. 62 of 2022 concerning the Nusantara Capital Authority, the Authority can have power over business entities which is characterized by share control and ownership of shares of a business entity so that it becomes the domain of the IKN Authority in its management. However, in reality, adequate regulations to accommodate the formation and planning of the Authority-Owned Business Entity itself are not not yet in place. This research aims to find out how business entities owned by the state capital are regulated and planned in a comparative perspective and what the ideal concept of regulation and planning of authority owned business entities is in realizing sustainable development of the Nusantara Capital City. The research used normative juridical with a statutory approach, comparative approach and conceptual approach. The research results show that the concepts of the three countries are different. The concept from Australia requires the formation of a state-owned enterprise through the law of its capital region, namely the Territorial State-owned Corporation Act 1990. Meanwhile, India uses a registration mechanism by injecting funds from the government to mark it as a government-owned company according to its level in accordance with the provisions of the Company Law of India, 2013. Then China acknowledged the existence of controlling and non-controlling shares in government control as regulated in the Law of State-owned Assets Enterprise 2018 Revision. In this case, Indonesia can adopt it by establishing an authority-owned business entity using regulations from the head of the authority that are regulatory and based on sustainable development. In this way, the next generation can experience the development results of the authority's business entities.

Does the Innovative City Pilot Policy Promote Urban Energy Use Efficiency? Evidence from China

The innovative city pilot policy (ICPP) is a key policy practice in China’s innovation-driven economic strategy, yet its influence on urban energy use efficiency (UEUE) has yet to be assessed. This study used balanced panel data from Chinese cities from the period of 2006 to 2022 to investigate the impact of innovative cities on urban energy consumption efficiency. The double-difference method, which treats creative cities as quasi-natural experiments, was applied to identify the impact mechanism of these cities. Additionally, this study looked at heterogeneity from several angles and assessed the effects of the policy on the environment. Following thorough testing to guarantee the reliability of the findings of this study—such as changing variables, ruling out further policy interferences, and running placebo tests—it can be concluded that the pilot program significantly improves urban energy consumption. The mechanism analysis performed in this study shows that, via talent concentration, utilizing technology, and optimizing the industrial structure, the creative city pilot policies increase energy consumption efficiency. Additionally, a heterogeneity analysis shows that eastern cities and cities with a high degree of digital finance benefit most from the legislation in terms of energy consumption efficiency. The application of creative city pilot programs has a more noticeable effect on increasing the energy consumption efficiency in eastern cities, as well as in cities with a high degree of digital infrastructure and digital finance, according to the heterogeneity analysis. Furthermore, an environmental consequence test shows that, by encouraging the growth of UEUE, the development of innovative cities can successfully help to reduce carbon emissions.

Digital Governance and Urban Government Service Spaces: Understanding Resident Interaction and Perception in Chinese Cities

With the rapid development of smart cities and the swift transition toward digital governance, optimizing urban spatial governance through digital technology remains underexplored in the Global South, particularly from the perspective of resident perception and interaction. Digitization of government services is a key area of interest in digital governance research; this study investigates the impact of government self-service systems on the spatial perception and behavior of residents in Guangzhou and Foshan, China. Through a mixed-method approach, combining questionnaire surveys and semi-structured interviews and analyzing them using a structural equation model, the findings reveal that government self-service systems significantly influence residents’ spatial behavior and perception. These systems enhance the efficiency of administrative processes, increase convenience, and lead to temporal-spatial compression, thereby reshaping residents’ physical interactions with urban spaces. The findings provide practical insights for policymakers to enhance urban governance by integrating digital technologies to improve residents’ interaction with government services. These insights can guide the development of more efficient, resident-centered digital governance frameworks, particularly in rapidly urbanizing regions. This research contributes to a deeper understanding of how digital technology transforms urban spatial governance, highlighting the critical interplay between individuals, technology, and the urban environment. The study likewise provides examples of the ongoing digital transformation of public services in countries of the Global South that are lagging behind in the area of digital governance.

CHALLENGES IN SUSTAINABLE RESIDENTIAL PROPERTY DEVELOPMENT IN SHAH ALAM: PATHWAYS TOWARDS IMPLEMENTING SUSTAINABLE DEVELOPMENT GOALS (SDGs)

There is an urgent need to align urban growth with environmental, social, and economic sustainability principles in rapidly developing cities like Shah Alam. The pressing issue is the current gap between the city's rapid development pace and its ability to implement sustainable practices that align with the SDGs. The study focuses on two main objectives: to identify potential pathways for implementing Sustainable Development Goals (SDGs) and challenges in residential property development in Shah Alam. By employing qualitative content analysis and purposive sampling, the research identifies critical challenges, including lack of awareness among buyers, high costs, inadequate government support, lack of expertise, strict regulations, longer procurement times, and a focus solely on achieving green certification. However, these obstacles also present opportunities for strategic pathways toward SDG implementation. The study emphasises that addressing these challenges and embracing these pathways can drive Shah Alam toward sustainable residential property development, contributing to the city's overall resilience and sustainability while aligning with crucial SDGs. This approach is crucial for alleviating poverty, enhancing urban sustainability, promoting resource efficiency, combating climate change, and protecting local ecosystems. By overcoming these challenges, Shah Alam can progress toward sustainable development that ensures long-term environmental, social, and economic benefits.

May urban digital twins spur the New Urban Agenda? The Spanish case study

The New Urban Agenda was conceived as a global endeavor to transpose the Sustainable Development Goals (SDGs) of the 2030 Agenda into urban areas. Both initiatives were merged into the Spanish Urban Agenda (SUA), which includes 10 strategic and 30 specific goals, among which leading and promoting digital innovation toward the development of smart cities stand out. As Urban Digital Twins (UDTs) are a technology that arises to enhance smart cities, this research aims at assessing how they may contribute to the achievement of the SUA. A framework was accordingly built to associate UDTs with the SUA to then be applied to the Barcelona digital twin as case study. A combination of an in-depth literature review on UDTs and the Delphi technique was used as methodological approach. More than 70 % of the strategic and specific goals included in the SUA, as well as the four sustainability dimensions are represented in the new instrument. The case study reflected a limited contribution in pursuing the SUA. Nevertheless, the proposed framework offers potential lines of action to reinforce the role of the Barcelona digital twin towards the SUA.

Development path for China's mega-large urban agglomerations based on the water-energy-food nexus

The Beijing-Tianjin-Hebei (BTH) mega-large urban agglomeration of China (CMUA) has significantly contributed to Chinese socioeconomic development. However, it faces severe shortages in the supply to meet the increasing demand of water, energy, and food resources (WEF). In order to safeguard the resource security of CMUA-BTH and the synergistic development of cities, and to compensate for the lack of dynamic analysis between urban agglomerations and WEF in previous studies. In this study, a coupled CMUA-WEF simulation model is developed based on the system dynamics approach. The model not only studies the three elements of WEF, supply and demand, but also conducts a comparative analysis of the three regions of BTH, and designs a total of four scenarios based on the possibility of future development, so as to facilitate the depiction of the trend of the WEF supply and demand system under different scenarios, and to provide theoretical basis for the government to formulate effective policy. The results show that: (1) Regarding demand, the aggregate demand for energy, food and water in the BTH will increase by about 3–5 times, 3 times, and 2 times, respectively, from 2000 to 2050, among which the total demand for energy will increase most significantly. In contrast, the variation of local resource supply side is small, which leads to the deterioration of resource security. (2) The risk of water shortage is the greatest in resource security, with less than 30% self-sufficiency in water security in all three regions. (3) Scenario analysis for CMUA-BTH indicates that “choking flow” (S3) yields more pronounced effects compared to “open source” (S2), and therefore adhering to the reduction of food waste, promoting energy-saving technologies, and intensifying water-saving measures can effectively reduce the risk of water shortages in the three regions. Optimal resource security in S4 increases Hebei's water pressure by 1.5%, alleviates Beijing's pressure by 7.3%, and the implementation of the Xiongan New Area and the new energy development policy can help realize the synergistic development of BTH and the inter-regional linkage.

The impact of smart city construction on resident well-being: the mediating role of technology acceptance

This study investigates the relationships between smart city construction, technology acceptance, and resident well-being, integrating the Technology Acceptance Model with smart city research. Using structural equation modeling and data from 2,187 residents across five smart cities, we examine how smart city initiatives influence technology acceptance and, consequently, resident well-being. Results indicate that smart city construction positively affects perceived usefulness and ease of use of smart technologies, which in turn drive technology acceptance. Technology acceptance significantly mediates the relationship between smart city initiatives and resident well-being, highlighting its crucial role in translating urban innovations into quality of life improvements. The indirect effect of smart city construction on resident well-being through technology acceptance was significant (β = 0.183, p < 0.001), accounting for 37.1% of the total effect. Additionally, a direct positive effect of smart city construction on well-being was observed (β = 0.31, p < 0.001), suggesting benefits beyond active technology engagement. The study contributes to smart city literature by providing empirical evidence for the often-assumed link between smart city development and resident well-being, while also extending the application of the Technology Acceptance Model to urban contexts. These findings have important implications for urban planners and policymakers, emphasizing the need for user-centered design and inclusive development strategies in smart city projects to maximize positive impacts on urban populations.

Paisagem, Território e Cultura: Estudo de caso do grupo de dança de Siriri Flor de Atalaia

This article investigates the intersection between traditional cultural practices and the urban landscape, focusing on the cultural manifestations of Siriri and Cururu in the city of Cuiabá, Mato Grosso. The study highlights how these dance forms not only reflect but also shape the city's cultural and physical landscape, integrating in meaningful ways with urban life and local cultural heritage. The research specifically addresses the influence of these practices in public and free space, particularly in the courtyards used by the dance group Siriri Flor de Atalaia, which serve as vital stages for rehearsals and cultural presentations. The primary objective of this study is to analyze the transformations in the landscape of open spaces caused by the continuous interaction between the Siriri Flor de Atalaia group and its urban environment. This analysis seeks to understand how these spaces are used for the practice and dissemination of Siriri and Cururu culture, and how they contribute to the cultural dynamics of the city of Cuiabá. Through a detailed examination of physical and cultural changes in these places, the article explores the role of backyards and open spaces in perpetuating popular culture and forming a strong local identity. Methodologically, the study is based on a bibliographical review that addresses the themes of territory, open spaces, landscape and culture of the Siriri and Cururu dance. In addition, a case study of the courtyard of the dance group Siriri Flor de Atalaia is carried out, using direct observation and qualitative analyzes to capture the essence of cultural interactions and their impact on urban space. The results of the article provide an in-depth analysis of the cultural landscape formed around the Siriri Flor de Atalaia group, revealing how practice spaces not only serve as places for cultural activities, but also as elements that redefine the urban landscape. This investigation contributes significantly to debates about the importance of preserving and promoting cultural spaces within the urban environment, supporting the continuity of popular culture and informing public policies that value and promote traditional cultural practices in the city of Cuiabá. This study emphasizes the need for a more integrated and conscious approach to urban planning, which considers cultural practices as essential components of city development, not only for the preservation of heritage, but also as a vital strategy for enriching community life and strengthening local identity.

Analysis of Halal Literacy, Halal Awareness, Motivation and Religiousity of SMES on Interest in Halal Certification in Banjarmasin

Micro, Small, and Medium-Sized Enterprises (MSMEs) play a significant role in Banjarmasin City's local economic development. Along with this growth, halal products have great potential to gain the support of consumers whose awareness of halal products is increasing. Halal factors are becoming increasingly important to consumers when making routine product purchases. This study examines how the motivation,religiosity, halal literacy, and halal awareness of MSME (Micro, Small, and Medium Enterprises) actors affect their desire to get halal certification in Banjarmasin City. This study is conducted using field research using a quantitative descriptive technique. Purposive sampling, a non-probability sampling technique, selects samples based on the requirement to meet specific objectives, such as identifying MSMEs in Banjarmasin for a minimum of one year. A questionnaire is used for data collection, and the sample size is 96. Using SPSS 25.0 for Windows applications,the following data analysis procedures were employed: hypothesis testing, data validity analysis, and descriptive data analysis. The findings indicate that MSMEs' interest in Halal Certification in Banjarmasin City is significantly influenced, at least in part, by the factors of Halal Literacy, Halal Awareness, Motivation, and Religiosity. The factors significantly impacting MSMEs' interest in halal certification in Banjarmasin City simultaneously include motivation,religiosity, halal literacy, and halal awareness.

Spatiotemporal changes in LULC and associated impact on urban Heat Islands over Pakistan using geospatial techniques

Urban Heat Islands arise when the natural land cover changes with dense concentrations of pavement, buildings, roads, and other surfaces that absorb and preserve heat. The current study aimed to assess Land Use Land Cover(LULC) changes and associated impact on Urban Heat Island (UHI) from 2000 to 2020 using Geospatial technologies for four metropolitan cities (Islamabad, Lahore, Multan and Muzaffarabad) of Pakistan. A Supervised Classification algorithm was performed on satellite imageries using ArcGIS software for analyzing LULC changes. The study areas were classified into 4 classes such as built-up, barren land, vegetation, and water bodies. Thermal bands of Landsat 4–5 and 8 were used for retrieved Land Surface Temperature (LST) and UHI. The findings of this study indicate that the urban area in all four districts i.e. Islamabad, Lahore, Multan and Muzaffarabad has increased by 21.3 %, 20.9 %, 6.1 % and 15 % respectively during 2000–2020. The built-up and barren land revealed the highest recorded LST, while vegetation and water bodies showed the lowest measured LST values. From 2000 to 2020, the annual maximum LST in Islamabad rose by 1.1 °C, Lahore by 2.1 °C, and Multan and Muzaffarabad by 1.9 °C and 1.5 °C. The expansion of built-up areas and the reduction in vegetation contribute to a favorable contribution to UHI. The study's findings showed that appropriate action plans are required to manage urban heat and promote sustainable city development.

The Impact of Population Shrinkage on Economic Resilience in Mountain Cities: A Case Study of Guizhou Province, China

With the recent changes in population structure and continuous urbanization, the degree of population shrinkage in mountain cities has increased, especially under the impact of the COVID-19 epidemic, and the economic development of such mountain cities has become a prominent issue. The epidemic has not only exposed the vulnerability of these cities to economic development but also aggravated the negative impact of population contraction, bringing about new challenges and pressures related to regional population development and economic resilience. This change has become an important topic in the study of mountain cities. Therefore, taking Guizhou Province as a case study, this work applies the population change rate, the entropy method, and a mediation effect model to study the spatiotemporal evolution of population shrinkage and economic resilience, and it explores how population shrinkage influences economic resilience. The results reveal the following: (1) Few counties experienced population shrinkage in Guizhou Province from 2013 to 2017, indicating a sporadic distribution pattern, whereas the degree of population shrinkage increased rapidly from 2018 to 2022, revealing an east–west symmetrical distribution pattern, with Guiyang city located on the central axis. (2) There are significant regional differences in the spatial distribution of the level of economic resilience between the two periods. Under the impact of COVID-19, from 2019 to 2022, although the overall level of economic resilience increased, the level of resilience in most counties tended to decrease. (3) Regarding the mediating effect, population shrinkage affected the level of economic resilience through general public budget expenditure, foreign trade investment, new urban employment, and GDP. The abovementioned findings are helpful for providing theoretical support and empirical guidance for the sustainable development of mountain cities in the face of population contraction, economic challenges, and promoting regional coordination.

Combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge: a case study of Shanghai

Abstract. Coastal regions have experienced significant environmental changes and increased vulnerability to floods caused by the combined effect of multiple flood drivers such as storm surge, heavy rainfall and river discharge, i.e., compound floods. Hence, for a sustainable development of coastal cities, it is necessary to understand the spatiotemporal dynamics and future trends of compound flood hazard. While the statistical dependence between flood drivers, i.e., rainfall and storm surges, has been extensively studied, the sensitivity of the inundated areas to the relative timing of a driver's individual peaks is less understood and location dependent. To fill this gap, here we propose a framework combining a statistical dependence model for compound event definition and a hydrodynamic model to assess inundation maps of compound flooding from storm surge and rainfall during typhoon season in Shanghai. First, we determine the severity of the joint design event, i.e., peak surge and precipitation, based on the copula model. Second, we use the same frequency amplification (SFA) method to transform the design event values in hourly time series so that they represent boundary conditions to force hydrodynamic models. Third, we assess the sensitivity of inundation maps to the time lag between storm surge peak and rainfall. Finally, we define flood zones based on the primary flood driver, and we delineate flood zones under the worst compound flood scenario. The study highlights that the temporal delay between storm surge and rainfall plays a pivotal role in shaping the dynamics of flooding events. More specifically, that the peak rainfall occurs 2 h before the peak storm surge would cause the deepest average cumulative inundation depth. At the same time, the results show that in Shanghai surge is the primary flood driver. High storm surge at the eastern part of the city (Wusongkou tidal gauge) propagates upstream in the Huangpu River, resulting in fluvial flooding in Shanghai city center and several surrounding districts. This calls for a better fluvial flooding control system hinging on the backwater effect during high surge in the upper and middle Huangpu River and in the newly added urbanized areas to ensure flood resilience. The proposed framework is useful to evaluate and predict flood hazard in coastal cities, and the results can provide guidance for urban disaster prevention and mitigation.

Changes in Land Use and Land Cover, Normalized Difference Vegetation Index and Land Surface Temperature in the Narsingdi District During 2001 to 2021

Rapid urbanization and industrialization cause land use changes, reduce green spaces, and increase the land surface temperature. Green spaces of a city area maintain environmental quality by absorbing air pollutants and reducing land surface temperature. The present study aimed to detect the changes in land use and land cover (LULC), normalized difference vegetation index (NDVI), and land surface temperature (LST) in the Narsingdi district including six Upazilas from 2001 to 2021. The Landsat 7- Enhanced Thematic Mapper Plus (ETM+), the Landsat 8- Operational Land Imager (OLI) imageries and the Moderate Resolution Imaging Spectroradiometer (MODIS) data were used to analyze the LULC, NDVI, and LST by using Google Earth Engine (GEE) and ArcGIS 10.8.2. The images were analyzed into four land use classifications – agricultural land, built-up area, forest vegetation, and water body. Among all the Upazilas, Narsingdi Sadar was the vulnerable area, where agricultural land, forest coverage, and water body decreased significantly by 6.67%, 2.2%, and 4.66%, respectively. The built-up area increased by a considerable amount of 13.53% during the last twenty years. The forest coverage of Narsingdi Sadar Upazila was calculated at only 8.91% in 2021 and decreased from 11.11% in 2001. The NDVI values surprisingly increased in all the Upazilas, but in Narsingdi Sadar, it is comparatively low (0.08) than in other Upazilas. The increasing trend in LST in the Narsingdi Sadar Upazila is alarming, 1.14oC from 2001 to 2021 (0.57oC/decade). The significant changes in LULC, NDVI, and LST made the Narsingdi Sadar a more critical area in the Narsingdi district. The findings of the study will be helpful to policymakers in making appropriate decisions in future city development. J. of Sci. and Tech. Res. 5(1): 93-118, 2023

The new paradigm of future cities? Facilitating dialogues between the 15-minute city and the 15-minute life circle in China based on a bibliometric analysis

Cities worldwide are facing increasing disturbances due to the long-lasting COVID-19 pandemic, the unpredictable climate change, and the intensifying geopolitical clashes. The uncertainties associated with the future drive a backlash against contemporary planning practices that center on growth-oriented agenda and placemaking to survive neoliberal inter-city competitions. A noticeable paradigm shift towards micro-scale and human-centric planning practices has gained traction. The 15-minute city model (FMC), which was proposed by Carlos Moreno in 2016 and went viral after the pandemic, has become a prominent concept in steering future city development. Interestingly, China has also embarked on a transition from physical-oriented to human-centric planning, which is featured by the concept of the 15-minute life circle (FLC) and its planning guidelines first promulgated in Shanghai in 2016. While both concepts have thrived since then, few scholarly attempts have been made to advance the mutual learning process. This research aims to facilitate a dialogue between the two research communities, starting with a systematic literature review of the FMC. Using a bibliometric analysis, it maps the development and evolution of research on the FMC and identifies four key themes: sustainability, resilience, utopian city models, and technology. Based on the findings, the research discusses the complexity and current trends in the FMC literature. It compares the human-centric and chrono-urbanism planning principles in FMC and FLC cases, highlighting the differences in origins, priorities, and planning principles. The study concludes with three directions for mutual learning: integrating resilient thinking, synthesizing theoretical development and practical accumulation, and adopting a new urban regeneration perspective.

Microscale Temperature-Humidity Index (THI) Distribution Estimated at the City Scale: A Case Study in Maebashi City, Gunma Prefecture, Japan

Global warming and climate change are significantly impacting local climates, causing more intense heat during the summer season, which poses risks to individuals with pre-existing health conditions and negatively affects overall human health. While various studies have examined the Surface Urban Heat Island (SUHI) phenomenon, these studies often focus on small to large geographic regions using low-to-moderate-resolution data, highlighting general thermal trends across large administrative areas. However, there is a growing need for methods that can detect microscale thermal patterns in environments familiar to urban residents, such as streets and alleys. The temperature-humidity index (THI), which incorporates both temperature and humidity data, serves as a critical measure of human-perceived heat. However, few studies have explored microscale THI variations within urban settings and identified potential THI hotspots at a local level where SUHI effects are pronounced. This research aims to address this gap by estimating THI at a finer resolution scale using data from multiple sensor platforms. We developed a model with the random forest algorithm to assess THI trends at a resolution of 0.5 m, utilizing various variables from different sources, including Landsat 8 land surface temperature (LST), unmanned aerial system (UAS)-derived LST, Sentinel-2 NDVI and NDMI, a wind exposure index, solar radiation modeled from aircraft and UAS-derived Digital Surface Models, and vehicle density and building floor area from social big data. Two models were constructed with different variables: Modelnatural, which includes variables related to only natural factors, and Modelmix, which includes all variables, including anthropogenic factors. The two models were compared to reveal how each source contributes to the model development and SUHI effects. The results show significant improvements, as Modelnatural had a fitting R2 = 0.5846, a root mean square error (RMSE) = 0.5936 and a mean absolute error (MAE) = 0.4294. Moreover, when anthropogenic factors were introduced, Modelmix performed even better, with R2 = 0.9638, RMSE = 0.1751, and MAE = 0.1065 (n = 923). This study contributes to the future of microscale SUHI analysis and offers important insights into urban planning and smart city development.

Exploring the drivers of residents’ identification and green citizenship behavior in green cities: a multicountry study

PurposeThe fundamental mission of every green city is to harmonize urban living with environmental preservation. However, a critical challenge arises when the residents of such cities do not share the same level of environmental consciousness, potentially eroding the integrity of the green city’s brand identity. Hence, this study aims to explore the factors influencing residents’ identification with green city branding and assesses how this identification subsequently affects their green citizenship behaviors.Design/methodology/approachA survey of 1,217 residents from 15 green cities across six countries was conducted and analyzed using SPSS 28.0 for descriptive statistics and PLS-SEM for measurement and structural model analysis.FindingsThe results indicate that green city-self connection, green city distinctiveness and environmental benefits significantly impact GCRI, which, in turn, significantly influences green city protection, loyalty and advocacy behaviors. However, green city social and economic benefits did not affect resident identification.Practical implicationsThe results of this study provide valuable managerial insights for city brand managers, green city developers and governmental representatives. The study underscores the importance of considering residents as crucial internal stakeholders in the creation of a green city identity that effectively promotes sustainable urban living and an eco-friendly culture.Originality/valueThis study provides theoretical insights into the relationship between green identification and residents’ willingness and commitment to act as ambassadors and promote their city’s green values.

Integrating Circular Economy Principles in Urban Development for Sustainable Cities in Nigeria: Lessons from Global and Local Case Studies

Nigeria, Africa's most populous country, faces significant urbanization challenges including waste management, resource scarcity, and environmental degradation. This paper explores the integration of Circular Economy (CE) principles in urban development to foster sustainable cities in Nigeria. By examining case studies and best practices from global and local perspectives, including insights from Lebanon's experiences amid its economic crisis, the paper provides strategic recommendations for policymakers, urban planners, and stakeholders to implement CE principles effectively in Nigerian urban contexts. Lebanon's strategic adaptation of CE principles, particularly in response to its severe economic and energy crises, demonstrates the potential for CE to enhance economic resilience and sustainability under challenging conditions. This experience offers critical lessons for Nigeria, as it also faces similar urbanization and sustainability challenges.

Smart city development and improvement of quality of life in urban cities of Sri Lanka: citizen-centric approach

Smart city development and improvement of quality of life in urban cities of Sri Lanka: citizen-centric approach

Analysis of the Effect of Utilization of Science and Technology, Human Resources and Asset Land Management on Sustainable Optimization

Natural resources, especially land, are finite resources that constrain development. The limited availability of land in urban areas is disproportionate to the growing demand. This land is important for developing city infrastructure, such as office buildings, housing, education, health services, parks, and green open spaces, as well as other functions that support city infrastructure. The research was conducted as an effort to support government programs towards the optimization of sustainable cities by looking at the propositions of each variable. The product of this research helps the government optimize the development of sustainable cities. Testing with quantitative methods using partial least square data analysis utilizing Smart-PLS software. The results showed that the science and technology variable had an insignificant effect on the sustainable optimization of land assets in Malang City. However, the human resources variable and the asset land variable have a significant positive effect on the sustainable optimization of asset land in Malang City. The conclusion of this study shows that science and technology does not have a direct impact on the optimization of sustainable land assets in Malang City, but has a significant positive influence through the mediation of human resources. Therefore, researchers recommend improving science and technology in land asset management through improving the education and skills of human resources in the Malang City government.