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Background Cities are at the fore of sustainability challenges of the twenty-first century, and many, particularly in Asia and Africa, are predominantly youthful spaces. Understanding young people’s experiences in urban environments is therefore important as we strive to achieve both the Sustainable Development Goals and the Paris Agreement. Two amenities identified in the urban Sustainable Development Goal 11, transport and public and green space, are specifically recognised as applying to youth. Yet, there is little analysis that explicitly considers how youth experience these amenities across the Global North and South, and no current measures for understanding progress in youth experiences of green space and transport. Results This paper provides a comparative analysis of young people’s experiences with local transport and green space in seven diverse urban communities (Christchurch, New Zealand; Dhaka, Bangladesh; Lambeth/London, UK; Makhanda, South Africa; New Delhi, India; São Paulo, Brazil; and Yokohama, Japan). Our study contributes to a growing body of literature that seeks to listen to child and youth perspectives to understand their environmental experiences. We examine the ‘affordances’ young residents aged 12 to 24 years currently associate with green space and transport amenities. Affordances are defined here as the inter-relationships between what a local environment offers young people and their perceptions and actions. Drawing on focus groups and interviews conducted with 332 young people, we identify five affordances young people associate in relation to transport and public space across these diverse urban settings: (1) social inclusion and belonging; (2) autonomy; (3) physical comfort and security; (4) relaxation and reflection; and (5) health and fitness. Conclusions The paper contributes to growing interdisciplinary research interest in measuring affordances as a way to advance the Sustainable Development Goals in an urban context. In providing a comparative account of young people’s experiences across diverse contexts, our discussion highlights how affordances in relation to transport or public and green space can help understand the multiple interconnections between the well-being of young people and sustainability. In particular, we argue that it is not merely the provision of transport or public and green space that matters, but the nuanced meaning of places and experiences as understood by local communities that needs to be recognised if we are to better support urban youth wellbeing and advance sustainable development goals.

The intensity and formation of urban heat island (UHI) phenomena are closely related to land use/land cover (LULC) and land surface temperature (LST) change. The effect of UHI can be described quantitatively by urban thermal field variance index (UTFVI). For measuring urban health and ensuring sustainable development, the analysis of LST and UTFVI are receiving boosted attention. This study predicted LULC, seasonal (summer & winter) LST, and UTFVI variations using machine learning algorithms (MLAs) in Cumilla City Corporation (CCC), Bangladesh. Landsat 4–5 TM and Landsat 8 OLI satellite images were used for 1999, 2009, and 2019 to predict future scenarios for 2029 and 2039. MLAs such as Cellular Automata (CA) and Artificial Neural Network (ANN) methods were used to predict the future change in LULC, LST, and UTFVI. The result suggests that, in the year 2029 and 2039, the urban area will likely to be increased by around 8 % and 11 %, where significant decrease will be taken place in green cover by 9 % and 14 %. If the rapid urban growth continues, more than 30 % of the CCC area will likely to be experienced more than 33 °C temperature and strongest UTFVI effect in the year 2029 and 2039. In addition, an average 4 °C higher LST was recorded in the urban area compared with vegetation cover. In urban construction practice, avoiding concentrated impermeable layers (built-up areas) and increasing green covers, are effective ways of mitigating the effect of UTFVI. This study will contribute in achieving sustainable development and provide useful insights to understand the complex relationship among different elements of urban environments and promotion of city competence.

Mapping the within-field variability of crop status is of great importance in precision agriculture, which seeks to balance agronomic inputs with spatial crop demands. Satellite imagery and the delineation of management zones based on remote sensing plays a key role. However, satellite imagery is dependent on a cloud-free view, which is especially challenging in temperate regions such as Northern Europe. This disadvantage can be overcome with unmanned aerial vehicles (UAV), which provide an alternative to satellites. An investigation was conducted to establish whether UAV imagery can generate similar crop heterogeneity maps to satellites (Sentinel 2) and the extent to which crop heterogeneity and management zones can be reproduced by repeated data collection within short time intervals. Three winter wheat fields were monitored during the growing season. Two vegetation indices (NDVI and MSAVI2) based on red and near-infrared (NIR) reflectance were calculated to delineate fields into five management zones based on NDVI raster maps using quintiles. The Pearson correlation coefficient, the Nash–Sutcliffe agreement coefficient and the smallest real difference coefficient (SRD), also called the reproducibility coefficient were used to evaluate the reproducibility. NDVI and MSAVI2 gave similar results, but NDVI was a slightly better descriptor of crop heterogeneity after canopy closure and NDVI was used for the remainder of the study. The results showed that substitution of satellite data with UAV data resulted in an average reclassification of 10 m by 10 m management zones corresponding to 58% of the total field area. Reclassification means that management pixels were classified differently according to origin of images. Repeated satellite and UAV imagery resulted in 39% and 47% reclassification, respectively. The results showed that the reproduction of remote sensing data with different sensor systems added more measurement error to measurements than was the case with repeated measurements using the same sensor systems. In this study, SRD averaged 2.5 management zones, which means that differences up to 2.5 management zones were within the measurement error. This paper discusses the practical aspects of these findings and clarifies that the reclassification of management zones is depending on the heterogeneity of the studied fields. Therefore, the achieved results may not be generalized but the presented methodology can be used in future studies.

This article explores how the asset-based community development approach has improved the living conditions of the urban slum communities and have also addressed the house level poverty through direct asset transfer that can have positive co-benefits for community resilience to climate change. A broader and less restrictive design, which is qualitative in nature, has been adopted to produce arguments using the experiences of the members of Community Development Committees (CDCs) of slums of Khulna city. Considering the great flexibility nature of open-ended interview data, thematic analysis has been applied to identify and interpret the patterns (themes) related to the activities of CDCs. The findings of the aggregated thematic data show that while community-driven actions might not be taken with climate change adaptation specifically in mind, local community-based actions initiated by the CDCs of slums such as community-driven slum upgrading and collective savings schemes to reduce asset erosion directly contribute to broader resilience to climate change, by reducing exposure to climatic risk and also addressing internal drivers of vulnerability. The findings of capacity-decision-making matrix show that the CDC members do not possess equal capacity while managing the vulnerability through transferring the asset both at household and community level.

RapidurbanizationhasbeenaboonforindustrialgrowthinBangladesh,leadingtheDhaka megapolis to become one of the least livable places in the world. These circumstances, however, have received little attention by policy makers and in academic research. Using mainly secondary data, this article explores the water quality of the river Buriganga that flows across Dhaka and identifies major sources of pollutants. While much of the article analyzes the sources and extent of pollution, it also points toward a great threat to public health from the presence of high levels of heavy metals, such as chromium, lead, and iron, as well as chemicals, including ammonia and phosphate. Moreover, the article recommends some policy changes that could potentially reduce pollution levels and boost water sustainability not only in Dhaka but also in other fast-growing cities in the least developed countries (LDCs).

Understanding the complex dynamics of a household’s livelihood and potential vulnerabilities in the face of climate change is challenging. This research paper considers the Shyamnagar sub-district in the southern part of Bangladesh to analyze the complex issues of the vulnerability of livelihoods in the face of climate change. We conducted a questionnaire survey (n = 156) of approximately 15.6% of households in the study area. Consequently, we collected Geographical Information System (GIS) data and satellite imagery to demonstrate the land-use changes concerning vulnerabilities. A total of 54 indicators were selected to assess the livelihood vulnerability index, considering the demographic profiles, livelihood strategies, social networks, food security, water security, income, physical infrastructures, access to health services, and impacts of natural disasters. The results of the study demonstrate that only 21% of the people in the studied regions are less vulnerable to livelihood impacts in the face of climate change, while 23% of the households remain the most vulnerable. Moreover, inadequate social networks and inefficient livelihood strategies are contributing the most to the household vulnerability indices. Interestingly, the impacts of natural disasters remain the same for the whole study area and endure similarly when assessing household vulnerability. Finally, the study reveals that decision-makers may formulate effective adaptation policies to safeguard people and their livelihoods in the time of unprecedented climatic conditions in this unique area of Bangladesh.