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In the recent past, there has been a substantial push to increase the sanitation infrastructure in India to end open defecation and improve level of hygiene. The choice of the type of sanitation, however, depends on demographic, socio-economic, tenurial, cultural and sanitation surroundings, which not only impacts sanitation practices but also incidences of diseases. This paper empirically analyses the determinants of households’ choice of toilet facility and the relation between incidence of diseases and sanitation using National Sample Survey Office’s 76th round of the survey for 2018-19. The results indicate that the social, economic and cultural factors have significant impact on the households’ choices of a toilet. There is a preference for flush type toilets connected to a sewer among households with better socio-economic status. This research finds that the quality of microenvironment within which a household lives has a significant impact on the incidence of disease. The results imply that the interventions for improved sanitation need to be holistic, emphasising microenvironment improvement and providing better access to sanitation infrastructure and inculcating more hygienic behavioural practices.
Accessibility and affordability are critical challenges for household water consumption in urban India. While the previous research on affordability and water tariff setting is substantial, the interplay of water access equity and its impact on household water expenditure is less understood due to the absence of granular household level data in India. This research draws upon the NSSO’s 76th round of data collected across the country to explore the differences in water access and expenditure amongst various income categories. Using regression analysis, this paper investigates the association between the socio-economic, tenurial status, sources of water, sufficiency, and access related factors and the household expenditure on water. Results show that water is a scarce commodity for lower sections of society and that they are incurring higher costs, making the water relatively unaffordable. The research findings indicate that the policymakers and project proponents need to develop more targeted metrics for measuring the disparities and configure interventions that mitigate the inequalities in urban water provision.
Cities in developing countries have been struggling to deal with the pressures of urbanization on infrastructure, basic services, land, and housing that often manifest as poor living conditions found in slums and informal settlements. One of the key challenges to effectively target policy interventions and meet Sustainable Development Goals (SDGs) for improving lives of people living in slums is the lack of data on their housing condition. Furthermore, the slum/non-slum dichotomy is inadequate in identifying specific deprivations that prevents effective policymaking and implementation. To this end, we propose a methodological framework to predict multidimensional housing deprivation with slums of Dhaka, Bangladesh as our case study. Our framework predicts multidimensional housing deprivation using geospatial and remote sensing variables. Several indicators, including distance to the central business district, arterial roads, major road junctions, railroads, average dwelling size, and street type within slums were related to increased risk of overall deprivation whereas proximity to heavy industry and shoreline, building density, informal street pattern, the low-level connectivity and proximity to social amenities were related to lower risk of housing deprivation. The results from the statistical models indicate their potential to predict the extent and type of housing deprivation, which could in turn support planning and policy interventions for achieving SDGs for the most vulnerable populations in slums of developing countries.
Already climate-related hazards are impacting sanitation systems in Indonesia and elsewhere, and climate models indicate these hazards are likely to increase in frequency and intensity. Without due attention, to maintain existing progress on Sustainable Development Goal 6’s target 6.2 and to increase it to meet ambitions for 2030 will be difficult. City governments need new forms of evidence to respond, as well as approaches to enable them to consider sufficient breadth of strategies to adapt effectively. This paper describes a co-production research process which engaged local governments in four cities in Indonesia experiencing different climate hazards. Local government engagement took place across three stages of (i) inception and design, (ii) participation as key informants and (iii) joint analysis and engagement on the findings. We adapted and simplified a risk prioritisation process based on current literature and employed a novel framework of a ‘climate resilient sanitation system’ to prompt articulation of current and proposed climate change adaptation response actions. In contrast to many current framings of climate resilience in sanitation that focus narrowly on technical responses, the results paint a rich picture of efforts needed by city governments across all domains, including planning, institutions, financing, infrastructure and management options, user awareness, water cycle management and monitoring and evaluation. Local government commitment and improved comprehension on the implications of climate change for sanitation service delivery were key outcomes arising from the co-production process. With strengthened policy and capacity building initiatives from national level, this foundation can be supported, and Indonesian city governments will be equipped to move forward with adaptation actions that protect on-going access to sanitation services, public health and the environment.
This study investigates why sanitation outcomes vary across urban poor communities in Delhi, India. Unequal access to quality sanitation has serious implications for the health, dignity, and economic well-being of the poor and public health in general due to risks of environmental contamination. For this multiple-case study, a sample of 7 communities is drawn from slums, public housing, and homeless shelters. The database comprises of direct observations of sanitation outcomes in these communities, interviews with 67 key policy informants, official documents of relevant government agencies, newspaper articles, and court filings. The qualitative dataset is analyzed using process-tracing to uncover policy decisions across communities. Findings show that inequitable sanitation outcomes are manufactured by biases that blame the poor for service deficits and make the provision of entitled benefits contingent on political mobilization of exhibiting “good citizenship.” This has serious implications for democratic accountability between the government and the very citizens that are most in need of public services to meet their sanitation needs.
Fecal sludge management (FSM) stakeholders have hitherto been unable to benefit from analytical approaches based on systems thinking principles, as studies utilizing theoretical frameworks to analyze governance structures remain in a nascent stage. One such prominent framework is the Systems Theoretic Process Analysis (STPA), which has no FSM-related applications in the literature. Relying on official documents such as ministerial ordinances, this study conducts a multistage STPA for a well-established and sustainable FSM system, that is, the
Sanitation is a universal need and thus requires universal access. Despite having the world’s largest sanitation campaign, only 37% of urban India has access to safely managed sanitation systems. Due to the heterogeneity of Indian cities, a mix of different sanitation systems is required to meet the demands of these rapidly urbanising cities. The Manila principles on Citywide Inclusive Sanitation (CWIS) propose a mix of technologies as a key pillar in achieving the Sustainable Development Goals on urban sanitation. However, there is a lack of understanding on the criteria to consider when planning the technological options for CWIS. The mega-city of Chennai is chosen as a case study, and mixed methods including a Faecal Waste Flow diagram (SFD), Social Network Analysis (SNA) and interviews are applied. This study then presents a set of 14 contextually relevant criteria for the implementation of sewered and non-sewered technologies in the city. The SFD shows that 35% of Chennai’s faecal waste remains unsafely managed while using SNA identified that the water and sanitation utility, the municipal corporation and the slum clearance board are the best placed stakeholders in the city to create a change in the sanitation situation. Furthermore, 17 drivers and barriers for the implementation of non-sewered technologies are identified. The criteria catalogue was also theoretically tested for an example ward in Chennai. The findings of the study show that a catalogue of physical, technical, institutional and financial criteria is useful for planning a mix of technologies with the CWIS approach.
The common practice for desludging of septic tanks is ‘demand-based desludging’ rather than a regular service. Such practices have adverse social and environmental impacts. Scheduled desludging is advocated to maintain the performance of septic tanks and avoid adverse effects on the environment. Wai, a small town in the state of Maharashtra, India, is the first city in India to implement scheduled desludging. This paper discusses impact of scheduled desludging on water quality. The quality of water before scheduled desludging and after scheduled desludging is assessed. It describes monitoring the quality of groundwater, river water, effluent from drains and supernatants from septic tanks. It reflects the linkages of scheduled desludging and improved supernatants and drain water quality which as a result improves the river and groundwater quality. The results suggest positive impact of regular desludging on the performance of septic tanks. This has led to improvement in the quality of drain water, ground water and river water.
This study provides a unique long-term investigation of regional travel demand that addresses several gaps in the existing longitudinal literature. Firstly, it investigates the development of travel demand in terms of both vehicle kilometres travelled (VKT) and passenger kilometres travelled (PKT), based on actual demand, congestion and equilibrium distances, using road and multi-modal transit networks in the Greater Toronto-Hamilton Area (GTHA). Secondly, it identifies influential travel demand determinants after testing an extensive set of variables including longitudinal gravity-based transport accessibility measures. Thirdly, it investigates to what extent the determinants’ influence changes over time and various locations within the study area, providing new insights into the temporal and intra-regional variations of travel demand and its determinants. The findings show that VKT and PKT have grown in absolute and per trip terms, mainly due to substantial population growth, especially in the suburban areas. Whilst average potential travel times by transit have decreased, they are substantially longer than auto travel times. Furthermore, travel demand determinants vary significantly across space by degrees of urbanity, especially for VKT. The findings call for area- and population segment-specific land use and transportation policies across the GTHA.
Marked crosswalks are the primary means of safeguarding pedestrian travel at intersections in American cities. In the face of decades-high pedestrian fatalities nationwide, the provision of adequate crosswalks is highly salient. Though, how they are spatially distributed across an entire city, and vary by neighborhood, has drawn little academic scrutiny. Given that, this study utilizes satellite imagery to map the presence of marked crosswalks throughout San Francisco, a dense, walkable city that has struggled to reach its pedestrian-safety goals. For the first time, this allows for a calculation of “crosswalk coverage” for the city as a whole. Manual review of satellite imagery documents that crosswalks are present at 58% of San Francisco’s roughly 6,400 intersections, though they are not evenly distributed across neighborhoods. Both hotspot analysis and comparing crosswalk coverage by Census tracts demonstrates that northern neighborhoods—even outside of the downtown core—maintain higher percentages of intersections with crosswalks than those in the southern half. Intersections exhibit crosswalk “corridor effects,” in that crosswalks often cluster along certain streets, including (but not limited to) commercial areas. In addition, crosswalks in four neighborhoods were analyzed to a deeper extent, including category (e.g., ladder, continental, and standard), condition, and “completeness” or the number of adjacent blocks with a connecting crosswalk. Across these roughly 1,000 intersections, coverage varied from 51% in the Bayview (a historic African American community) to 83% in Pacific Heights (a high-income, majority-white neighborhood). Though these patterns track somewhat with local pedestrian and automobile volumes, crosswalk coverage diverges from these data in many ways, indicating other factors at play in their distribution. Overall, satellite imagery can be used to identify marked crosswalks at scale, evaluate their quality, and probe geographic variation. Armed with such granular data, planners can consider the ways in which crosswalks are present throughout cities—and where notable gaps exist—in their pursuit of Vision Zero goals.
In consumer cities, the presence and location of immigrants impacts house prices through two channels, which both can be valued positively as well as negatively: (i) their presence and contribution to population diversity and (ii) the creation of immigrant-induced consumer amenities like those associated with ethnic restaurants in terms of both their quantity as well as diversity. We hypothesize that these two mechanisms create a trade-off in which city dwellers want to live apart yet consume together. We use unique microdata of house prices and ethnic restaurants in the city of Amsterdam over the 1996–2011 period and a generalized propensity score (GPS) matching technique for multiple continuous treatments to estimate the trade-off between consumers’ love for ethnic goods and their variety on the one hand, and ethnic residential composition on the other hand. We find evidence for the existence of such a trade-off: proximity to ethnically diverse restaurants indeed compensates for a negative correlation between the presence of immigrants and house prices. This trade-off mostly holds for neighborhoods featuring both a diverse population and a high level of amenities in terms of restaurants.
In this paper, we analyse the spatial distribution of anti-EU and populist vote across Italian municipalities. A clear geographical divide is found, with northern municipalities supporting anti-EU parties and southern ones the populist parties. This knowledge is fundamental for the development of effective place-specific policies.
Stateless persons and refugees from Syria have come to Turkey due to crisis in Syria starting at 2011. The Republic of Turkey identified a new “legal status” for Syrian asylum seekers. While the international status is “refugee,” Turkey identified “temporary protection” (TP) for Syrian asylum seekers. The geographical drawback that the government of Turkey indicated in Geneva Convention in 1951 has legitimated the “new legal status” for middle eastern asylum seekers. Recently, the status and the long-lasting residency of Syrians have been a critical agenda in Turkey.
