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The body of scientific literature on slum mapping employing remote sensing methods has increased since the availability of more very-high-resolution (VHR) sensors. This improves the ability to produce information for pro-poor policy development and to build methods capable of supporting systematic global slum monitoring required for international policy development such as the Sustainable Development Goals. This review provides an overview of slum mapping-related remote sensing publications over the period of 2000–2015 regarding four dimensions: contextual factors, physical slum characteristics, data and requirements, and slum extraction methods. The review has shown the following results. First, our contextual knowledge on the diversity of slums across the globe is limited, and slum dynamics are not well captured. Second, a more systematic exploration of physical slum characteristics is required for the development of robust image-based proxies. Third, although the latest commercial sensor technologies provide image data of less than 0.5 m spatial resolution, thereby improving object recognition in slums, the complex and diverse morphology of slums makes extraction through standard methods difficult. Fourth, successful approaches show diversity in terms of extracted information levels (area or object based), implemented indicator sets (single or large sets) and methods employed (e.g., object-based image analysis (OBIA) or machine learning). In the context of a global slum inventory, texture-based methods show good robustness across cities and imagery. Machine-learning algorithms have the highest reported accuracies and allow working with large indicator sets in a computationally efficient manner, while the upscaling of pixel-level information requires further research. For local slum mapping, OBIA approaches show good capabilities of extracting both area- and object-based information. Ultimately, establishing a more systematic relationship between higher-level image elements and slum characteristics is essential to train algorithms able to analyze variations in slum morphologies to facilitate global slum monitoring.

Informal areas exist worldwide, in which they are considered a global challenge, affecting cities image, as they are characterized by high populations, dense buildings, and poor infrastructure, among other aspects that turn them into low-quality-living, unsafe, ugly pockets in cities. The research argues that public art, as a powerful tool, can (re)image, represent, and revitalize informal areas and improve the quality of life for their residents. The research investigates public perception of art in Cairo’s informal areas from different perspectives and how diverse groups perceive and value public art as a tool for enhancing informal areas that aims to inform urban planning, design, and public art initiatives. Through a mix of quantitative and qualitative research methods relying on the results of an achieved design competition, including interviews with competition jurors, user surveys, and competition jurors ratings, this study explores how different approaches influence the design and implementation of public art. The analysis of the collected data sheds light on the factors shaping public perception and the potential impact of public art on urban transformation. These include cultural resonance, aesthetic appeal, visibility, feasibility, and environmental integration.

The physical expansion of the city of Ouagadougou, the capital and largest city of Burkina Faso, subsided in 2015 after the government banned land speculation that contributed to the growth and entrenchment of informal areas. The government subsequently implemented social policies such as free health care for pregnant women and children under 5 years of age. Against this background, we tested the convergence of under-5 mortality trends between formal and informal areas in the city between 2010 and 2019; data covering that period came from the Ouagadougou Health and Demographic Surveillance System (HDSS). The analyses included the calculation of all-cause and cause-specific mortality rates, the implementation of a Poisson regression model, and competing risk models. Over the study period, children in formal areas had lower mortality than those in informal areas. However, the inequality gap decreased over time due to a faster mortality decline in informal areas. This decline was explained by a rapid decline in deaths from malaria and other causes including sepsis, HIV/AIDS, measles, meningitis, and encephalitis. The pursuit of upgrading informal areas and the implementation of social policies targeting the poorest are likely to accelerate the mortality decline in Ouagadougou overall.

A large part of the population in low-income countries (LICs) lives in fragile and conflict-affected states. Many cities in these states show high growth dynamics, but little is known about the relation of conflicts and urban growth. In Afghanistan, the Taliban regime, which lasted from 1996 to 2001, caused large scale displacement of the population. People from Afghanistan migrated to neighboring countries like Iran and Pakistan, and all developments came to a halt. After the US invasion in October 2001, all the major cities in Afghanistan experienced significant population growth, in particular, driven by the influx of internally displaced persons. Maximum pressure of this influx was felt by the capital city, Kabul. This rapid urbanization, combined with very limited capacity of local authorities to deal with this growth, led to unplanned urbanization and challenges for urban planning and management. This study analyses the patterns of growth between 2001 and 2017, and the factors influencing the growth in the city of Kabul with the help of high-resolution Earth Observation-based data (EO) and spatial logistic regression modelling. We analyze settlement patterns by extracting image features from high-resolution images (aerial photographs of 2017) and terrain features as input to a random forest classifier. The urban growth is analyzed using an available built-up map (extracted from IKONOS images for the year 2001). Results indicate that unplanned settlements have grown 4.5 times during this period, whereas planned settlements have grown only 1.25 times. The unplanned settlements expanded mostly towards the west and north west parts of the city, and the growth of planned settlements happened mainly in the central and eastern parts of the city. Population density and the locations of military bases are the most important factors that influence the growth, of both planned and unplanned settlements. The growth of unplanned settlement occurs predominantly in areas of steeper slopes on the hillside, while planned settlements are on gentle slopes and closer to the institutional areas (central and eastern parts of the city). We conclude that security and availability of infrastructure were the main drivers of growth for planned settlements, whereas unplanned growth, mainly on hillsides, was driven by the availability of land with poor infrastructure.

Urbanization plays a critical role in changing the urban environment. Most developed countries have almost completed urbanization. However, with more and more people moving to cities, the urban environment in developing countries is undergoing significant changes. Sustainable development cannot be achieved without significant changes in building, managing, and responding to changes in the urban environment. The classified measurement and analysis of the urban environment in developing countries and the real-time understanding of the evolution and characteristics of the urban environment are of great significance for decision-makers to manage and plan cities more effectively and maintain the sustainability of the urban environment. Hence, a method readily applicable for the state-of-the-art computational analysis can help conceive the rapidly changing urban socio-environmental dynamics that can make the policy-making process even more informative and help monitor the changes almost in real-time. Based on easily accessible data from Google Earth, this work develops and proposes a new urban environment classification method focusing on formality and informality. Firstly, the method gives a new model to scrutinize the urban environment based on the buildings and their surroundings. Secondly, the method is suited for the state-of-the-art machine learning processes that make it applicable and scalable for forecasting, analytics, or computational modeling. The paper first demonstrates the model and its applicability based on the urban environment in the developing world. The method divides the urban environment into 16 categories under four classes. Then it is used to draw the urban environment classes maps of the following emerging cities: Nairobi in Kenya, Mumbai in India, Guangzhou in China, Jakarta in Indonesia, Cairo in Egypt, and Lima in Chile. Then, we discuss the characteristics of different urban environments and the differences between the same class in different cities. We also demonstrate the agility of the proposed method by showing how this classification method can be easily augmented with other data such as population per square kilometer to aid the decision-making process. This mapping should help urban designers who are working on analyzing formality and informality in the developing world. Moreover, from the application point of view, this will provide training data sets for future deep learning algorithms and automate them, help establish databases, and significantly reduce the cost of acquiring data for urban environments that change over time. The method can become a necessary tool for decision-makers to plan sustainable urban spaces in the future to design and manage cities more effectively.

Informal areas are considered one of the biggest urban problems worldwide; it was estimated in 2018 that 29% of the world’s urban population lived in informal areas (The world bank, Population living in slums, 2022). This research aimed to identify a set of criteria and principles that are the basis for sustainable development in informal areas to achieve a better quality of life for the community. After conducting a literature review of the sustainable development principles, indices, and sustainable development interventions within informal areas, the research links them to set informal areas’ sustainable development principles. Then, by relying on the experts’ questionnaires and their analysis through SPSS, the researchers utilized the experts’ input to define each principle’s relative weight. Additionally, the research applied the extracted principles to the Boulaq El Dakrour case study to assess the sustainability of previous developments undertaken in the area with community participation.

Background Cape Verde presents a high rate of cardiovascular diseases. Low potassium and high sodium intakes are related to cardiovascular diseases. However, studies regarding these two micronutrients continue to be rare in African urban settings. This work aims to estimate potassium and sodium intakes and to analyse the self-reported salt intake by gender and by type of urban area in the city of Praia – the capital of Cape Verde. Methods In the first stage ( n  = 1912), an intra-urban study was designed in two types of urban areas (formal and informal), using a sampling strategy based on random selection of geographical coordinates, in order to apply a questionnaire. In a second stage, a 24-h dietary recall and anthropometric measurements were performed by local nutritionists. Potassium and sodium intakes were estimated for 599 participants (149 men and 450 women). Non-parametric methods (including quantile regression) were used in the statistical analysis. Results In informal areas, a higher percentage of women reported having hypertension (31.0%) compared to formal areas (19.7%). Based on 24-h dietary recall, median potassium intake for men was 2924.2 mg/day and for women and 2562.6 mg/day. Almost 70.0% of men and 80.0% of women ingested less than the recommended 3510 mg/day of potassium. In informal areas, men and women presented high medians of sodium intakes compared to formal areas (men: 4131.2 vs 3014.6 mg/day and women: 3243.4 vs 2522.4 mg/day). On the other hand, the percentage of participants exceeding 2000 mg/day for sodium was high (≥70.8%), even for participants that self-reported low-salt intake. Quantile regression models revealed effects of the type of urban area and gender in the potassium and sodium intakes, at least, in some quartiles, accounting for age, academic qualifications, and professional situation. Conclusions A low potassium intake and a high sodium intake were found in Praia. Thus, efficient health education campaigns and health promotion are needed and should be tailored considering gender and urban areas.

The knowledge on office building in the past and present, how the workspace evolved to incorporate contemporary technological breakthroughs, was in this paper combined with goals of sustainable building in a “smart” office building design in Belgrade, Serbia, taking local factors into consideration to create a comfortable space for the employees in a dense urban matrix with a minimal environmental footprint, and considering the workflow of contemporary office spaces, it’s multidirectional input and increasingly horizontal work hierarchy. Issues of proper inputs for building today in the 21 century are thoroughly considered in this paper and respective building’s design features as shown here: how to deal with location, position and orientation of the building, organization of both formal and informal areas, natural ventilation, green glazed surfaces, solar energy, wind turbines, rainwater utilization measures, surrounding vegetation, lighting and appliances, and piezoelectric paving.

How do female residents of the Middle East’s largest cities solve their everyday problems? And under what conditions do women use the state to resolve local disputes? Squatter settlements and other “informal” neighborhoods often exist outside of effective state authority, leaving residents to develop parallel forms of legality. This is particularly true for female residents of these neighborhoods who may experience marginalization as a result of their socioeconomic status as well as prevailing gender norms. This article examines avenues for problem solving and conflict resolution employed by women in the low-income neighborhoods of Cairo and Istanbul—the region’s largest megacities. Using an original survey of 2400 women in four low-income neighborhoods across the two cities, we find that women in Turkey are much more likely than their counterparts in Egypt to turn to the state to handle local problems, especially for issues associated with criminality. When Egyptian women do choose to use state channels for dispute resolution, they only do so when they are well-connected to local elites, suggesting the critical mediating role played by a woman’s social capital. Religious authorities are not seen as a primary tool for conflict resolution in any of the sampled neighborhoods, challenging the conventional wisdom about the role local Islamic interlocutors play in low-income Muslim communities.

Background There is substantial evidence from high income countries that neighbourhoods have an influence on health independent of individual characteristics. However, neighbourhood characteristics are rarely taken into account in the analysis of urban health studies from developing countries. Informal urban neighbourhoods are home to about half of the population in Aleppo, the second largest city in Syria (population>2.5 million). This study aimed to examine the influence of neighbourhood socioeconomic status (SES) and formality status on self-rated health (SRH) of adult men and women residing in formal and informal urban neighbourhoods in Aleppo. Methods The study used data from 2038 survey respondents to the Aleppo Household Survey, 2004 (age 18–65 years, 54.8% women, response rate 86%). Respondents were nested in 45 neighbourhoods. Five individual-level SES measures, namely education, employment, car ownership, item ownership and household density, were aggregated to the level of neighbourhood. Multilevel regression models were used to investigate associations. Results We did not find evidence of important SRH variation between neighbourhoods. Neighbourhood average of household item ownership was associated with a greater likelihood of reporting excellent SRH in women; odds ratio (OR) for an increase of one item on average was 2.3 (95% CI 1.3-4.4 (versus poor SRH)) and 1.7 (95% CI 1.1-2.5 (versus normal SRH)), adjusted for individual characteristics and neighbourhood formality. After controlling for individual and neighbourhood SES measures, women living in informal neighbourhoods were less likely to report poor SRH than women living in formal neighbourhoods (OR= 0.4; 95% CI (0.2- 0.8) (versus poor SRH) and OR=0.5; 95%; CI (0.3-0.9) (versus normal SRH). Conclusions Findings support evidence from high income countries that certain characteristic of neighbourhoods affect men and women in different ways. Further research from similar urban settings in developing countries is needed to understand the mechanisms by which informal neighbourhoods influence women’s health.