76,972 research outputs found
The role of earth observation in an integrated deprived area mapping “system” for low-to-middle income countries
Urbanization in the global South has been accompanied by the proliferation of vast informal and marginalized urban areas that lack access to essential services and infrastructure. UN-Habitat estimates that close to a billion people currently live in these deprived and informal urban settlements, generally grouped under the term of urban slums. Two major knowledge gaps undermine the efforts to monitor progress towards the corresponding sustainable development goal (i.e., SDG 11—Sustainable Cities and Communities). First, the data available for cities worldwide is patchy and insufficient to differentiate between the diversity of urban areas with respect to their access to essential services and their specific infrastructure needs. Second, existing approaches used to map deprived areas (i.e., aggregated household data, Earth observation (EO), and community-driven data collection) are mostly siloed, and, individually, they often lack transferability and scalability and fail to include the opinions of different interest groups. In particular, EO-based-deprived area mapping approaches are mostly top-down, with very little attention given to ground information and interaction with urban communities and stakeholders. Existing top-down methods should be complemented with bottom-up approaches to produce routinely updated, accurate, and timely deprived area maps. In this review, we first assess the strengths and limitations of existing deprived area mapping methods. We then propose an Integrated Deprived Area Mapping System (IDeAMapS) framework that leverages the strengths of EO- and community-based approaches. The proposed framework offers a way forward to map deprived areas globally, routinely, and with maximum accuracy to support SDG 11 monitoring and the needs of different interest groups
Evaluating the quality of society and public services
A person’s quality of life is not only shaped by individual choices and behaviour: the surrounding environment and the public services on offer have a big influence on how people perceive the society they live in and on their evaluation of their own quality of life. Institutions influence the quality of society through collective actions that individuals cannot undertake themselves: for example maintaining schools, hospitals and roads. Public policies are also responsible for ensuring that water and air are not polluted, and for reducing tensions between different social groups. If public policies are effective and these services are provided to a high standard, the quality of society will improve, with a positive impact on the overall quality of life of citizens. This is why European policymakers and citizens share a common concern regarding the quality of society and public services: the actions of policymakers should contribute to improving the quality of citizens’ lives. To evaluate whether this is in fact happening, one needs to look beyond objective measures of material wealth such as gross domestic product (GDP) and find out how citizens assess the conditions in their society. The second European Quality of Life Survey (EQLS), carried out by the European Foundation for the Improvement of Living and Working Conditions (Eurofound) in 2007, asks European citizens to evaluate multiple aspects of quality of society. The result is a comprehensive picture of the diverse social realities in the 27 EU Member States, in Norway, Croatia, the former Yugoslav Republic of Macedonia and Turkey
Where do manufacturing firms locate their headquarters?
Firms’ headquarters [HQ] support their production activity, by gathering information and outsourcing business services, as well as, managing, evaluating, and coordinating internal firm activities. In search of a better location for these functions, firms often separate the HQ function physically from their production facilities and construct stand-alone HQs. By locating its HQ in a large, service oriented metro area away from its production facilities, a firm may be better able to out-source service functions in that local metro market and also to gather information about market conditions for their products. However if the firm locates the HQ away from its production activity, that increases the coordination costs in managing plant activities. In this paper we empirically analyze the trade-off of these two considerations.Corporations - Headquarters ; Industrial location ; Manufactures
A study of existing Ontologies in the IoT-domain
Several domains have adopted the increasing use of IoT-based devices to
collect sensor data for generating abstractions and perceptions of the real
world. This sensor data is multi-modal and heterogeneous in nature. This
heterogeneity induces interoperability issues while developing cross-domain
applications, thereby restricting the possibility of reusing sensor data to
develop new applications. As a solution to this, semantic approaches have been
proposed in the literature to tackle problems related to interoperability of
sensor data. Several ontologies have been proposed to handle different aspects
of IoT-based sensor data collection, ranging from discovering the IoT sensors
for data collection to applying reasoning on the collected sensor data for
drawing inferences. In this paper, we survey these existing semantic ontologies
to provide an overview of the recent developments in this field. We highlight
the fundamental ontological concepts (e.g., sensor-capabilities and
context-awareness) required for an IoT-based application, and survey the
existing ontologies which include these concepts. Based on our study, we also
identify the shortcomings of currently available ontologies, which serves as a
stepping stone to state the need for a common unified ontology for the IoT
domain.Comment: Submitted to Elsevier JWS SI on Web semantics for the Internet/Web of
Thing
Heterogeneous Impact of the "Seguro Popular" Program on the Utilization of Obstetrical Services in Mexico, 2001-2006: A Multinomial Probit Model with a Discrete Endogenous Variable
Objective: We evaluated the impact of Seguro Popular (SP), a program introduced in 2001 in Mexico primarily to finance health care for the poor. We studied the effect of SP on pregnant women's access to obstetrical services. Data: We analyzed the cross-sectional 2006 National Health and Nutrition Survey (ENSANUT), focusing on the responses of 3,890 women who delivered babies during 2001-2006 and whose households lacked employer-based health care coverage. Methods: We formulated a multinomial probit model that distinguished between three mutually exclusive sites for delivering a baby: a health unit accredited by SP; a clinic run by the Department of Health (Secretaria de Salud, or SSA); and private obstetrical care. Our model accounted for the endogeneity of the household's binary decision to enroll in the SP program. Results: Women in households that participated in the SP program had a much stronger preference for having a baby in a SP-sponsored unit rather than paying out of pocket for a private delivery. At the same time, participation in SP was associated with a stronger preference for delivering in the private sector rather than at a state-run SSA clinic. On balance, the Seguro Popular program reduced pregnant women's attendance at an SSA clinic much more than it reduced the probability of delivering a baby in the private sector. The impacts of the SP program at the individual and population levels varied with the woman's education and health, as well as the assets and location (rural versus urban) of the household. Conclusions: The SP program had a robust, significantly positive impact on access to obstetrical services. Our finding that women enrolled in SP switched from non-SP state-run facilities, rather than from out-of-pocket private services, is important for public policy and requires further exploration.
Rethinking fuelwood: people, policy and the anatomy of a charcoal supply chain in a decentralizing Peru
In Peru, as in many developing countries, charcoal is an important source of fuel. We examine the commercial charcoal commodity chain from its production in Ucayali, in the Peruvian Amazon, to its sale in the national market. Using a mixed-methods approach, we look at the actors involved in the commodity chain and their relationships, including the distribution of benefits along the chain. We outline the obstacles and opportunities for a more equitable charcoal supply chain within a multi-level governance context. The results show that charcoal provides an important livelihood for most of the actors along the supply chain, including rural poor and women. We find that the decentralisation process in Peru has implications for the formalisation of charcoal supply chains, a traditionally informal, particularly related to multi-level institutional obstacles to equitable commerce. This results in inequity in the supply chain, which persecutes the poorest participants and supports the most powerful actors
The Regional Multi-Agent Simulator (RegMAS): an open-source spatially explicit model to assess the impact of agricultural policies
RegMAS (Regional Multi Agent Simulator) is an open-source spatially explicit multi-agent model framework specifically designed for long-term simulations of the effects of policies on agricultural systems. Using iterated conventional optimisation problems as agents’ behavioural rules, it allows for a bidirectional integration between geophysical and social models where spatially-distributed characteristics are taken into account in the programming problem of the optimising agents. With RegMAS it is possible to simulate the local specific response to a given policy (or scenario), where policies, together with macro and regional characteristics, are read into the program in specially formatted spreadsheets and standard GIS files. The paper presents the model logic and structure and describes its functioning by applying it to a case-study, where RegMAS results are compared with conventional agent-based modelling to demonstrate the advantages of spatial explicitness. The simulation refers to the impact of the recent “Health Check” of the CAP on farm structures, income and land use in a hilly area of a central Italian region (Marche).Agent-Based Modelling; Mathematical Programming; Explicit Spatial Analysis; Common Agricultural Policy
Environmental risk assessment in a contaminated estuary: an integrated weight of evidence approach as a decision support tool
Environmental risk assessment of complex ecosystems such as estuaries is a challenge, where innovative
and integrated approaches are needed. The present work aimed at developing an innovative integrative
methodology to evaluate in an impacted estuary (the Sado, in Portugal, was taken as case study), the
adverse effects onto both ecosystem and human health. For the purpose, new standardized lines of
evidence based on multiple quantitative data were integrated into a weight of evidence according to a
best expert judgment approach. The best professional judgment for a weight of evidence approach in the
present study was based on the following lines of evidence: i) human contamination pathways; ii)
human health effects: chronic disease; iii) human health effects: reproductive health; iv) human health
effects: health care; v) human exposure through consumption of local agriculture produce; vi) exposure
to contaminated of water wells and agriculture soils; vii) contamination of the estuarine sedimentary
environment (metal and organic contaminants); viii) effects on benthic organisms with commercial
value; and ix) genotoxic potential of sediments. Each line of evidence was then ordinally ranked by levels
of ecological or human health risk, according to a tabular decision matrix and expert judgment. Fifteen
experts scored two fishing areas of the Sado estuary and a control estuarine area, in a scale of increasing
environmental risk and management actions to be taken. The integrated assessment allowed concluding
that the estuary should not be regarded as impacted by a specific toxicant, such as metals and organic
compounds hitherto measured, but by the cumulative risk of a complex mixture of contaminants. The
proven adverse effects on species with commercial value may be used to witness the environmental
quality of the estuarine ecosystem. This method argues in favor of expert judgment and qualitative
assessment as a decision support tool to the integrative management of estuaries. Namely it allows
communicating environmental risk and proposing mitigation measures to local authorities and population
under a holistic perspective as an alternative to narrow single line of evidence approaches, which
is mandatory to understand cause and effect relationships in complex areas like estuaries.info:eu-repo/semantics/publishedVersio
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