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Prof. Joao Porto de Albuquerque
Institute for Global Sustainable Development, University of Warwick

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0 Geographic Information Science
0 Information Science
0 Sustainable Development
0 Urban Geography
0 Disaster resilience

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Journal article
Published: 03 August 2021 in International Journal of Geographical Information Science
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Although it is acknowledged that urban inequalities can lead to biases in the production of social media data, there is a lack of studies which make an assessment of the effects of intra-urban movements in real-world urban analytics applications, based on social media. This study investigates the spatial heterogeneity of social media with regard to the regular intra-urban movements of residents by means of a case study of rainfall-related Twitter activity in São Paulo, Brazil. We apply a spatial autoregressive model that uses population and income as covariates and intra-urban mobility flows as spatial weights to explain the spatial distribution of the social response to rainfall events in Twitter vis-à-vis rainfall radar data. Results show high spatial heterogeneity in the response of social media to rainfall events, which is linked to intra-urban inequalities. Our model performance (R2=0.80) provides evidence that urban mobility flows and socio-economic indicators are significant factors to explain the spatial heterogeneity of thematic spatiotemporal patterns extracted from social media. Therefore, urban analytics research and practice should consider not only the influence of socio-economic profile of neighborhoods but also the spatial interaction introduced by intra-urban mobility flows to account for spatial heterogeneity when using social media data.

ACS Style

Sidgley Camargo de Andrade; João Porto de Albuquerque; Camilo Restrepo-Estrada; René Westerholt; Carlos Augusto Morales Rodriguez; Eduardo Mario Mendiondo; Alexandre Cláudio Botazzo Delbem. The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events. International Journal of Geographical Information Science 2021, 1 -26.

AMA Style

Sidgley Camargo de Andrade, João Porto de Albuquerque, Camilo Restrepo-Estrada, René Westerholt, Carlos Augusto Morales Rodriguez, Eduardo Mario Mendiondo, Alexandre Cláudio Botazzo Delbem. The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events. International Journal of Geographical Information Science. 2021; ():1-26.

Chicago/Turabian Style

Sidgley Camargo de Andrade; João Porto de Albuquerque; Camilo Restrepo-Estrada; René Westerholt; Carlos Augusto Morales Rodriguez; Eduardo Mario Mendiondo; Alexandre Cláudio Botazzo Delbem. 2021. "The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events." International Journal of Geographical Information Science , no. : 1-26.

Journal article
Published: 14 April 2021 in ISPRS International Journal of Geo-Information
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This paper examines OpenStreetMap data quality at different stages of a participatory mapping process in seven slums in Africa and Asia. Data were drawn from an OpenStreetMap-based participatory mapping process developed as part of a research project focusing on understanding inequalities in healthcare access of slum residents in the Global South. Descriptive statistics and qualitative analysis were employed to examine the following research question: What is the spatial data quality of collaborative remote mapping achieved by volunteer mappers in morphologically complex urban areas? Findings show that the completeness achieved by remote mapping largely depends on the morphology and characteristics of slums such as building density and rooftop architecture, varying from 84% in the best case, to zero in the most difficult site. The major scientific contribution of this study is to provide evidence on the spatial data quality of remotely mapped data through volunteer mapping efforts in morphologically complex urban areas such as slums; the results could provide insights into how much fieldwork would be needed in what level of complexity and to what extent the involvement of local volunteers in these efforts is required.

ACS Style

Godwin Yeboah; João Porto de Albuquerque; Rafael Troilo; Grant Tregonning; Shanaka Perera; Syed Ahmed; Motunrayo Ajisola; Ornob Alam; Navneet Aujla; Syed Azam; Kehkashan Azeem; Pauline Bakibinga; Yen-Fu Chen; Nazratun Choudhury; Peter Diggle; Olufunke Fayehun; Paramjit Gill; Frances Griffiths; Bronwyn Harris; Romaina Iqbal; Caroline Kabaria; Abdhalah Ziraba; Afreen Khan; Peter Kibe; Lyagamula Kisia; Catherine Kyobutungi; Richard Lilford; Jason Madan; Nelson Mbaya; Blessing Mberu; Shukri Mohamed; Helen Muir; Ahsana Nazish; Anne Njeri; Oladoyin Odubanjo; Akinyinka Omigbodun; Mary Osuh; Eme Owoaje; Oyinlola Oyebode; Vangelis Pitidis; Omar Rahman; Narjis Rizvi; Jo Sartori; Simon Smith; Olalekan Taiwo; Philipp Ulbrich; Olalekan Uthman; Samuel Watson; Ria Wilson; Rita Yusuf. Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia. ISPRS International Journal of Geo-Information 2021, 10, 265 .

AMA Style

Godwin Yeboah, João Porto de Albuquerque, Rafael Troilo, Grant Tregonning, Shanaka Perera, Syed Ahmed, Motunrayo Ajisola, Ornob Alam, Navneet Aujla, Syed Azam, Kehkashan Azeem, Pauline Bakibinga, Yen-Fu Chen, Nazratun Choudhury, Peter Diggle, Olufunke Fayehun, Paramjit Gill, Frances Griffiths, Bronwyn Harris, Romaina Iqbal, Caroline Kabaria, Abdhalah Ziraba, Afreen Khan, Peter Kibe, Lyagamula Kisia, Catherine Kyobutungi, Richard Lilford, Jason Madan, Nelson Mbaya, Blessing Mberu, Shukri Mohamed, Helen Muir, Ahsana Nazish, Anne Njeri, Oladoyin Odubanjo, Akinyinka Omigbodun, Mary Osuh, Eme Owoaje, Oyinlola Oyebode, Vangelis Pitidis, Omar Rahman, Narjis Rizvi, Jo Sartori, Simon Smith, Olalekan Taiwo, Philipp Ulbrich, Olalekan Uthman, Samuel Watson, Ria Wilson, Rita Yusuf. Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia. ISPRS International Journal of Geo-Information. 2021; 10 (4):265.

Chicago/Turabian Style

Godwin Yeboah; João Porto de Albuquerque; Rafael Troilo; Grant Tregonning; Shanaka Perera; Syed Ahmed; Motunrayo Ajisola; Ornob Alam; Navneet Aujla; Syed Azam; Kehkashan Azeem; Pauline Bakibinga; Yen-Fu Chen; Nazratun Choudhury; Peter Diggle; Olufunke Fayehun; Paramjit Gill; Frances Griffiths; Bronwyn Harris; Romaina Iqbal; Caroline Kabaria; Abdhalah Ziraba; Afreen Khan; Peter Kibe; Lyagamula Kisia; Catherine Kyobutungi; Richard Lilford; Jason Madan; Nelson Mbaya; Blessing Mberu; Shukri Mohamed; Helen Muir; Ahsana Nazish; Anne Njeri; Oladoyin Odubanjo; Akinyinka Omigbodun; Mary Osuh; Eme Owoaje; Oyinlola Oyebode; Vangelis Pitidis; Omar Rahman; Narjis Rizvi; Jo Sartori; Simon Smith; Olalekan Taiwo; Philipp Ulbrich; Olalekan Uthman; Samuel Watson; Ria Wilson; Rita Yusuf. 2021. "Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia." ISPRS International Journal of Geo-Information 10, no. 4: 265.

Review article
Published: 01 April 2021 in Current Opinion in Environmental Sustainability
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This article investigates the role of digital technologies and data innovations, such as big data and citizen-generated data, to enable transformations to sustainability. We reviewed recent literature in this area and identified that the most prevailing assumption of work is related to the capacity of data to inform decision-making and support transformations. However, there is a lack of critical investigation on the concrete pathways for this to happen. We present a framework that identifies scales and potential pathways on how data generation, circulation and usage can enable transformations to sustainability. This framework expands the perspective on the role and functions of data, and it is used to outline a critical research agenda for future work that fully considers the socio-cultural contexts and practices through which data may effectively support transformative pathways to sustainable development.

ACS Style

João Porto de Albuquerque; Liana Anderson; Nerea Calvillo; Jon Coaffee; Maria Alexandra Cunha; Livia Castro Degrossi; Giovanni Dolif; Flavio Horita; Carolin Klonner; Fernanda Lima-Silva; Victor Marchezini; Mario Henrique da Mata Martins; Diego Pajarito-Grajales; Vangelis Pitidis; Conrado Rudorff; Nathaniel Tkacz; Rachel Traijber; Alexander Zipf. The role of data in transformations to sustainability: a critical research agenda. Current Opinion in Environmental Sustainability 2021, 49, 153 -163.

AMA Style

João Porto de Albuquerque, Liana Anderson, Nerea Calvillo, Jon Coaffee, Maria Alexandra Cunha, Livia Castro Degrossi, Giovanni Dolif, Flavio Horita, Carolin Klonner, Fernanda Lima-Silva, Victor Marchezini, Mario Henrique da Mata Martins, Diego Pajarito-Grajales, Vangelis Pitidis, Conrado Rudorff, Nathaniel Tkacz, Rachel Traijber, Alexander Zipf. The role of data in transformations to sustainability: a critical research agenda. Current Opinion in Environmental Sustainability. 2021; 49 ():153-163.

Chicago/Turabian Style

João Porto de Albuquerque; Liana Anderson; Nerea Calvillo; Jon Coaffee; Maria Alexandra Cunha; Livia Castro Degrossi; Giovanni Dolif; Flavio Horita; Carolin Klonner; Fernanda Lima-Silva; Victor Marchezini; Mario Henrique da Mata Martins; Diego Pajarito-Grajales; Vangelis Pitidis; Conrado Rudorff; Nathaniel Tkacz; Rachel Traijber; Alexander Zipf. 2021. "The role of data in transformations to sustainability: a critical research agenda." Current Opinion in Environmental Sustainability 49, no. : 153-163.

Journal article
Published: 03 March 2021 in ISPRS International Journal of Geo-Information
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A worldwide increase in the number of people and areas affected by disasters has led to more and more approaches that focus on the integration of local knowledge into disaster risk reduction processes. The research at hand shows a method for formalizing this local knowledge via sketch maps in the context of flooding. The Sketch Map Tool enables not only the visualization of this local knowledge and analyses of OpenStreetMap data quality but also the communication of the results of these analyses in an understandable way. Since the tool will be open-source and several analyses are made automatically, the tool also offers a method for local governments in areas where historic data or financial means for flood mitigation are limited. Example analyses for two cities in Brazil show the functionalities of the tool and allow the evaluation of its applicability. Results depict that the fitness-for-purpose analysis of the OpenStreetMap data reveals promising results to identify whether the sketch map approach can be used in a certain area or if citizens might have problems with marking their flood experiences. In this way, an intrinsic quality analysis is incorporated into a participatory mapping approach. Additionally, different paper formats offered for printing enable not only individual mapping but also group mapping. Future work will focus on advancing the automation of all steps of the tool to allow members of local governments without specific technical knowledge to apply the Sketch Map Tool for their own study areas.

ACS Style

Carolin Klonner; Maximilian Hartmann; Rebecca Dischl; Lily Djami; Liana Anderson; Martin Raifer; Fernanda Lima-Silva; Lívia Castro Degrossi; Alexander Zipf; João Porto de Albuquerque. The Sketch Map Tool Facilitates the Assessment of OpenStreetMap Data for Participatory Mapping. ISPRS International Journal of Geo-Information 2021, 10, 130 .

AMA Style

Carolin Klonner, Maximilian Hartmann, Rebecca Dischl, Lily Djami, Liana Anderson, Martin Raifer, Fernanda Lima-Silva, Lívia Castro Degrossi, Alexander Zipf, João Porto de Albuquerque. The Sketch Map Tool Facilitates the Assessment of OpenStreetMap Data for Participatory Mapping. ISPRS International Journal of Geo-Information. 2021; 10 (3):130.

Chicago/Turabian Style

Carolin Klonner; Maximilian Hartmann; Rebecca Dischl; Lily Djami; Liana Anderson; Martin Raifer; Fernanda Lima-Silva; Lívia Castro Degrossi; Alexander Zipf; João Porto de Albuquerque. 2021. "The Sketch Map Tool Facilitates the Assessment of OpenStreetMap Data for Participatory Mapping." ISPRS International Journal of Geo-Information 10, no. 3: 130.

Article
Published: 16 November 2020 in Information Systems Frontiers
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This paper traces the expansion of a network of IoT sensors to improve the effectiveness of a centralised control room in Brazil in anticipating natural hazards. This centralised model relies on using IoT data by highly qualified experts replacing previous smaller local structures. We draw on the notion of Situational Awareness to carry out the study. Results show that although the operators were not always familiar with the characteristics of locations, the use of IoT data heightened their situational awareness in the centralised control room by improving perception and comprehension. However, they still relied on local knowledge and learned experiences to support projection and anticipation of risks. The study highlights that although data analytics systems are capable of expanding operators’ perception of local elements, they must be complemented by local richer forms of information, needed to anticipate risks and make critical decisions with major impact on local population.

ACS Style

Flávio Horita; João Baptista; João Porto De Albuquerque. Exploring the use of IoT Data for Heightened Situational Awareness in Centralised Monitoring Control Rooms. Information Systems Frontiers 2020, 1 .

AMA Style

Flávio Horita, João Baptista, João Porto De Albuquerque. Exploring the use of IoT Data for Heightened Situational Awareness in Centralised Monitoring Control Rooms. Information Systems Frontiers. 2020; ():1.

Chicago/Turabian Style

Flávio Horita; João Baptista; João Porto De Albuquerque. 2020. "Exploring the use of IoT Data for Heightened Situational Awareness in Centralised Monitoring Control Rooms." Information Systems Frontiers , no. : 1.

Original research
Published: 20 August 2020 in BMJ Global Health
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Introduction With COVID-19, there is urgency for policymakers to understand and respond to the health needs of slum communities. Lockdowns for pandemic control have health, social and economic consequences. We consider access to healthcare before and during COVID-19 with those working and living in slum communities. Methods In seven slums in Bangladesh, Kenya, Nigeria and Pakistan, we explored stakeholder perspectives and experiences of healthcare access for non-COVID-19 conditions in two periods: pre-COVID-19 and during COVID-19 lockdowns. Results Between March 2018 and May 2020, we engaged with 860 community leaders, residents, health workers and local authority representatives. Perceived common illnesses in all sites included respiratory, gastric, waterborne and mosquitoborne illnesses and hypertension. Pre-COVID, stakeholders described various preventive, diagnostic and treatment services, including well-used antenatal and immunisation programmes and some screening for hypertension, tuberculosis, HIV and vectorborne disease. In all sites, pharmacists and patent medicine vendors were key providers of treatment and advice for minor illnesses. Mental health services and those addressing gender-based violence were perceived to be limited or unavailable. With COVID-19, a reduction in access to healthcare services was reported in all sites, including preventive services. Cost of healthcare increased while household income reduced. Residents had difficulty reaching healthcare facilities. Fear of being diagnosed with COVID-19 discouraged healthcare seeking. Alleviators included provision of healthcare by phone, pharmacists/drug vendors extending credit and residents receiving philanthropic or government support; these were inconsistent and inadequate. Conclusion Slum residents’ ability to seek healthcare for non-COVID-19 conditions has been reduced during lockdowns. To encourage healthcare seeking, clear communication is needed about what is available and whether infection control is in place. Policymakers need to ensure that costs do not escalate and unfairly disadvantage slum communities. Remote consulting to reduce face-to-face contact and provision of mental health and gender-based violence services should be considered.

ACS Style

Syed A K Shifat Ahmed; Motunrayo Ajisola; Kehkashan Azeem; Pauline Bakibinga; Yen-Fu Chen; Nazratun Nayeem Choudhury; Olufunke Fayehun; Frances Griffiths; Bronwyn Harris; Peter Kibe; Richard J Lilford; Akinyinka Omigbodun; Narjis Rizvi; Jo Sartori; Simon Smith; Samuel I Watson; Ria Wilson; Godwin Yeboah; Navneet Aujla; Syed Iqbal Azam; Peter J Diggle; Paramjit Gill; Romaina Iqbal; Caroline Kabaria; Lyagamula Kisia; Catherine Kyobutungi; Jason J Madan; Blessing Mberu; Shukri F Mohamed; Ahsana Nazish; Oladoyin Odubanjo; Mary E Osuh; Eme Owoaje; Oyinlola Oyebode; Joao Porto de Albuquerque; Omar Rahman; Komal Tabani; Olalekan John Taiwo; Grant Tregonning; Olalekan A Uthman; Rita Yusuf. Impact of the societal response to COVID-19 on access to healthcare for non-COVID-19 health issues in slum communities of Bangladesh, Kenya, Nigeria and Pakistan: results of pre-COVID and COVID-19 lockdown stakeholder engagements. BMJ Global Health 2020, 5, e003042 .

AMA Style

Syed A K Shifat Ahmed, Motunrayo Ajisola, Kehkashan Azeem, Pauline Bakibinga, Yen-Fu Chen, Nazratun Nayeem Choudhury, Olufunke Fayehun, Frances Griffiths, Bronwyn Harris, Peter Kibe, Richard J Lilford, Akinyinka Omigbodun, Narjis Rizvi, Jo Sartori, Simon Smith, Samuel I Watson, Ria Wilson, Godwin Yeboah, Navneet Aujla, Syed Iqbal Azam, Peter J Diggle, Paramjit Gill, Romaina Iqbal, Caroline Kabaria, Lyagamula Kisia, Catherine Kyobutungi, Jason J Madan, Blessing Mberu, Shukri F Mohamed, Ahsana Nazish, Oladoyin Odubanjo, Mary E Osuh, Eme Owoaje, Oyinlola Oyebode, Joao Porto de Albuquerque, Omar Rahman, Komal Tabani, Olalekan John Taiwo, Grant Tregonning, Olalekan A Uthman, Rita Yusuf. Impact of the societal response to COVID-19 on access to healthcare for non-COVID-19 health issues in slum communities of Bangladesh, Kenya, Nigeria and Pakistan: results of pre-COVID and COVID-19 lockdown stakeholder engagements. BMJ Global Health. 2020; 5 (8):e003042.

Chicago/Turabian Style

Syed A K Shifat Ahmed; Motunrayo Ajisola; Kehkashan Azeem; Pauline Bakibinga; Yen-Fu Chen; Nazratun Nayeem Choudhury; Olufunke Fayehun; Frances Griffiths; Bronwyn Harris; Peter Kibe; Richard J Lilford; Akinyinka Omigbodun; Narjis Rizvi; Jo Sartori; Simon Smith; Samuel I Watson; Ria Wilson; Godwin Yeboah; Navneet Aujla; Syed Iqbal Azam; Peter J Diggle; Paramjit Gill; Romaina Iqbal; Caroline Kabaria; Lyagamula Kisia; Catherine Kyobutungi; Jason J Madan; Blessing Mberu; Shukri F Mohamed; Ahsana Nazish; Oladoyin Odubanjo; Mary E Osuh; Eme Owoaje; Oyinlola Oyebode; Joao Porto de Albuquerque; Omar Rahman; Komal Tabani; Olalekan John Taiwo; Grant Tregonning; Olalekan A Uthman; Rita Yusuf. 2020. "Impact of the societal response to COVID-19 on access to healthcare for non-COVID-19 health issues in slum communities of Bangladesh, Kenya, Nigeria and Pakistan: results of pre-COVID and COVID-19 lockdown stakeholder engagements." BMJ Global Health 5, no. 8: e003042.

Research article
Published: 19 June 2020 in International Journal of Geographical Information Science
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The spatial analysis of social media data has recently emerged as a significant source of knowledge for urban studies. Most of these analyses are based on an areal unit that is chosen without the support of clear criteria to ensure representativeness with regard to an observed phenomenon. Nonetheless, the results and conclusions that can be drawn from a social media analysis to a great extent depend on the areal unit chosen, since they are faced with the well-known Modifiable Areal Unit Problem. To address this problem, this article adopts a data-driven approach to determine the most suitable areal unit for the analysis of social media data. Our multicriteria optimization framework relies on the Pareto optimality to assess candidate areal units based on a set of user-defined criteria. We examine a case study that is used to investigate rainfall-related tweets and to determine the areal units that optimize spatial autocorrelation patterns through the combined use of indicators of global spatial autocorrelation and the variance of local spatial autocorrelation. The results show that the optimal areal units (30 km2 and 50 km2) provide more consistent spatial patterns than the other areal units and are thus likely to produce more reliable analytical results.

ACS Style

Sidgley Camargo de Andrade; Camilo Restrepo-Estrada; Luiz Henrique Nunes; Carlos Augusto Morales Rodriguez; Júlio Cézar Estrella; Alexandre Cláudio Botazzo Delbem; João Porto de Albuquerque. A multicriteria optimization framework for the definition of the spatial granularity of urban social media analytics. International Journal of Geographical Information Science 2020, 35, 43 -62.

AMA Style

Sidgley Camargo de Andrade, Camilo Restrepo-Estrada, Luiz Henrique Nunes, Carlos Augusto Morales Rodriguez, Júlio Cézar Estrella, Alexandre Cláudio Botazzo Delbem, João Porto de Albuquerque. A multicriteria optimization framework for the definition of the spatial granularity of urban social media analytics. International Journal of Geographical Information Science. 2020; 35 (1):43-62.

Chicago/Turabian Style

Sidgley Camargo de Andrade; Camilo Restrepo-Estrada; Luiz Henrique Nunes; Carlos Augusto Morales Rodriguez; Júlio Cézar Estrella; Alexandre Cláudio Botazzo Delbem; João Porto de Albuquerque. 2020. "A multicriteria optimization framework for the definition of the spatial granularity of urban social media analytics." International Journal of Geographical Information Science 35, no. 1: 43-62.

Short review
Published: 27 May 2020 in Earth System Governance
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The private sector arguably plays a critical role in addressing the challenges of the Anthropocene and providing potential solutions to achieve the United Nations Sustainable Development Goals. Recently, a myriad of new actors in the form of intermediaries, initiatives and organisations have started driving wider systems change by advocating and advising companies to reconsider and broaden their fundamental ‘raison d’être’. In this Perspective we argue that the emergence of this ‘purpose ecosystem’ could play an important function within earth system governance, specifically by endorsing and accelerating action aligned with achieving the UN SDGs; yet we also highlight a number of risks, barriers and critical considerations for its overall assessment and propose important questions for further research.

ACS Style

Frederik Dahlmann; Wendy Stubbs; Rob Raven; João Porto de Albuquerque. The ‘purpose ecosystem’: Emerging private sector actors in earth system governance. Earth System Governance 2020, 4, 100053 .

AMA Style

Frederik Dahlmann, Wendy Stubbs, Rob Raven, João Porto de Albuquerque. The ‘purpose ecosystem’: Emerging private sector actors in earth system governance. Earth System Governance. 2020; 4 ():100053.

Chicago/Turabian Style

Frederik Dahlmann; Wendy Stubbs; Rob Raven; João Porto de Albuquerque. 2020. "The ‘purpose ecosystem’: Emerging private sector actors in earth system governance." Earth System Governance 4, no. : 100053.

Article
Published: 13 May 2020 in Social Sciences
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Ninety percent of the people added to the planet over the next 30 years will live in African and Asian cities, and a large portion of these populations will reside in deprived neighborhoods defined by slum conditions, informal settlement, or inadequate housing. The four current approaches to neighborhood deprivation mapping are largely siloed, and each fall short of producing accurate, timely, and comparable maps that reflect local contexts. The first approach, classifying “slum households” in census and survey data, reflects household-level rather than neighborhood-level deprivation. The second approach, field-based mapping, can produce the most accurate and context-relevant maps for a given neighborhood, however it requires substantial resources, preventing up-scaling. The third and fourth approaches, human (visual) interpretation and machine classification of air or spaceborne imagery, both overemphasize informal settlements, and fail to represent key social characteristics of deprived areas such as lack of tenure, exposure to pollution, and lack of public services. We summarize common areas of understanding, and present a set of requirements and a framework to produce routine, accurate maps of deprived urban areas that can be used by local-to-international stakeholders for advocacy, planning, and decision-making across Low- and Middle-Income Countries (LMICs). We suggest that machine learning models be extended to incorporate social area-level covariates and regular contributions of up-to-date and context-relevant field-based classification of deprived urban areas.

ACS Style

Dana R. Thomson; Monika Kuffer; Gianluca Boo; Beatrice Hati; Tais Grippa; Helen Elsey; Catherine Linard; Ron Mahabir; Catherine Kyobutungi; Joshua Maviti; Dennis Mwaniki; Robert Ndugwa; Jack Makau; Richard Sliuzas; Salome Cheruiyot; Kilion Nyambuga; Nicholus Mboga; Nicera Wanjiru Kimani; Joao Porto de Albuquerque; Caroline Kabaria. Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs). Social Sciences 2020, 9, 80 .

AMA Style

Dana R. Thomson, Monika Kuffer, Gianluca Boo, Beatrice Hati, Tais Grippa, Helen Elsey, Catherine Linard, Ron Mahabir, Catherine Kyobutungi, Joshua Maviti, Dennis Mwaniki, Robert Ndugwa, Jack Makau, Richard Sliuzas, Salome Cheruiyot, Kilion Nyambuga, Nicholus Mboga, Nicera Wanjiru Kimani, Joao Porto de Albuquerque, Caroline Kabaria. Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs). Social Sciences. 2020; 9 (5):80.

Chicago/Turabian Style

Dana R. Thomson; Monika Kuffer; Gianluca Boo; Beatrice Hati; Tais Grippa; Helen Elsey; Catherine Linard; Ron Mahabir; Catherine Kyobutungi; Joshua Maviti; Dennis Mwaniki; Robert Ndugwa; Jack Makau; Richard Sliuzas; Salome Cheruiyot; Kilion Nyambuga; Nicholus Mboga; Nicera Wanjiru Kimani; Joao Porto de Albuquerque; Caroline Kabaria. 2020. "Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs)." Social Sciences 9, no. 5: 80.

Preprint
Published: 15 April 2020
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Ninety percent of the people added to the planet over the next 30 years will live in African and Asian cities, and a large portion of these populations will reside in deprived neighborhoods defined by slum conditions, informal settlement, or inadequate housing. The four current approaches to neighborhood deprivation mapping are largely silo-ed, and each fall short of producing accurate, timely, comparable maps that reflect local contexts. The first approach, classifying “slum households” in census and survey data and aggregating to administrative areas, reflects household-level rather than neighborhood-level deprivation. The second approach, field-based mapping, can produce the most accurate and context-relevant maps for a given neighborhood, however it requires substantial resources, preventing up-scaling. The third and fourth approaches, human interpretation and machine classification of satellite, aerial, or drone imagery, both overemphasize informal settlements, and fail to represent key social characteristics of deprived areas such as lack of tenure, exposure to pollution, and lack of basic public services. The latter, machine classification of imagery, can be automated and extended to incorporate new and multiple sources of data. This diverse collection of authors represent experts from these four approaches to neighborhood deprivation mapping. We summarize common areas of understanding, and present a set of requirements to produce maps of deprived urban areas that can be used by local-to-international stakeholders for advocacy, planning, and decision-making.

ACS Style

Dana Thomson; Monika Kuffer; Gianluca Boo; Beatrice Hati; Tais Grippa; Helen Elsey; Catherine Linard; Ron Mahabir; Catherine Kyobutungi; Joshua Maviti; Dennis Mwaniki; Robert Ndugwa; Jack Makau; Richard Sliuzas; Salome Cheruiyot; Kilion Nyambuga; Nicholus Mboga; Nicera Wanjiru; Joao Porto De Albuquerque; Caroline Kabaria. Need for an Integrated Deprived Area “Slum” Mapping System (IDeAMapS) in LMICs. 2020, 1 .

AMA Style

Dana Thomson, Monika Kuffer, Gianluca Boo, Beatrice Hati, Tais Grippa, Helen Elsey, Catherine Linard, Ron Mahabir, Catherine Kyobutungi, Joshua Maviti, Dennis Mwaniki, Robert Ndugwa, Jack Makau, Richard Sliuzas, Salome Cheruiyot, Kilion Nyambuga, Nicholus Mboga, Nicera Wanjiru, Joao Porto De Albuquerque, Caroline Kabaria. Need for an Integrated Deprived Area “Slum” Mapping System (IDeAMapS) in LMICs. . 2020; ():1.

Chicago/Turabian Style

Dana Thomson; Monika Kuffer; Gianluca Boo; Beatrice Hati; Tais Grippa; Helen Elsey; Catherine Linard; Ron Mahabir; Catherine Kyobutungi; Joshua Maviti; Dennis Mwaniki; Robert Ndugwa; Jack Makau; Richard Sliuzas; Salome Cheruiyot; Kilion Nyambuga; Nicholus Mboga; Nicera Wanjiru; Joao Porto De Albuquerque; Caroline Kabaria. 2020. "Need for an Integrated Deprived Area “Slum” Mapping System (IDeAMapS) in LMICs." , no. : 1.

Review
Published: 18 March 2020 in Remote Sensing
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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.

ACS Style

Monika Kuffer; Dana R. Thomson; Gianluca Boo; Ron Mahabir; Taïs Grippa; Sabine Vanhuysse; Ryan Engstrom; Robert Ndugwa; Jack Makau; Edith Darin; João Porto De Albuquerque; Caroline Kabaria. The Role of Earth Observation in an Integrated Deprived Area Mapping “System” for Low-to-Middle Income Countries. Remote Sensing 2020, 12, 982 .

AMA Style

Monika Kuffer, Dana R. Thomson, Gianluca Boo, Ron Mahabir, Taïs Grippa, Sabine Vanhuysse, Ryan Engstrom, Robert Ndugwa, Jack Makau, Edith Darin, João Porto De Albuquerque, Caroline Kabaria. The Role of Earth Observation in an Integrated Deprived Area Mapping “System” for Low-to-Middle Income Countries. Remote Sensing. 2020; 12 (6):982.

Chicago/Turabian Style

Monika Kuffer; Dana R. Thomson; Gianluca Boo; Ron Mahabir; Taïs Grippa; Sabine Vanhuysse; Ryan Engstrom; Robert Ndugwa; Jack Makau; Edith Darin; João Porto De Albuquerque; Caroline Kabaria. 2020. "The Role of Earth Observation in an Integrated Deprived Area Mapping “System” for Low-to-Middle Income Countries." Remote Sensing 12, no. 6: 982.

Journal article
Published: 19 January 2020 in Sustainability
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This paper presents the main messages of a South American expert roundtable (ERT) on the unintended side effects (unseens) of digital transformation. The input of the ERT comprised 39 propositions from 20 experts representing 11 different perspectives. The two-day ERT discussed the main drivers and challenges as well as vulnerabilities or unseens and provided suggestions for: (i) the mechanisms underlying major unseens; (ii) understanding possible ways in which rebound effects of digital transformation may become the subject of overarching research in three main categories of impact: development factors, society, and individuals; and (iii) a set of potential action domains for transdisciplinary follow-up processes, including a case study in Brazil. A content analysis of the propositions and related mechanisms provided insights in the genesis of unseens by identifying 15 interrelated causal mechanisms related to critical issues/concerns. Additionally, a cluster analysis (CLA) was applied to structure the challenges and critical developments in South America. The discussion elaborated the genesis, dynamics, and impacts of (groups of) unseens such as the digital divide (that affects most countries that are not included in the development of digital business, management, production, etc. tools) or the challenge of restructuring small- and medium-sized enterprises (whose service is digitally substituted by digital devices). We identify specific issues and effects (for most South American countries) such as lack of governmental structure, challenging geographical structures (e.g., inclusion in high-performance transmission power), or the digital readiness of (wide parts) of society. One scientific contribution of the paper is related to the presented methodology that provides insights into the phenomena, the causal chains underlying “wanted/positive” and “unwanted/negative” effects, and the processes and mechanisms of societal changes caused by digitalization.

ACS Style

Gabriela Viale Pereira; Elsa Estevez; Diego Cardona; Carlos Chesñevar; Pablo Collazzo-Yelpo; Maria Alexandra Cunha; Eduardo Henrique Diniz; Alex Antonio Ferraresi; Frida Marina Fischer; Flúvio Cardinelle Oliveira Garcia; Luiz Antonio Joia; Edimara M. Luciano; João Porto De Albuquerque; Carlos O. Quandt; Rodrigo Sánchez Rios; Aurora Sánchez; Eduardo Damião Da Silva; João Silvestre Silva-Junior; Roland W. Scholz. South American Expert Roundtable: Increasing Adaptive Governance Capacity for Coping with Unintended Side Effects of Digital Transformation. Sustainability 2020, 12, 718 .

AMA Style

Gabriela Viale Pereira, Elsa Estevez, Diego Cardona, Carlos Chesñevar, Pablo Collazzo-Yelpo, Maria Alexandra Cunha, Eduardo Henrique Diniz, Alex Antonio Ferraresi, Frida Marina Fischer, Flúvio Cardinelle Oliveira Garcia, Luiz Antonio Joia, Edimara M. Luciano, João Porto De Albuquerque, Carlos O. Quandt, Rodrigo Sánchez Rios, Aurora Sánchez, Eduardo Damião Da Silva, João Silvestre Silva-Junior, Roland W. Scholz. South American Expert Roundtable: Increasing Adaptive Governance Capacity for Coping with Unintended Side Effects of Digital Transformation. Sustainability. 2020; 12 (2):718.

Chicago/Turabian Style

Gabriela Viale Pereira; Elsa Estevez; Diego Cardona; Carlos Chesñevar; Pablo Collazzo-Yelpo; Maria Alexandra Cunha; Eduardo Henrique Diniz; Alex Antonio Ferraresi; Frida Marina Fischer; Flúvio Cardinelle Oliveira Garcia; Luiz Antonio Joia; Edimara M. Luciano; João Porto De Albuquerque; Carlos O. Quandt; Rodrigo Sánchez Rios; Aurora Sánchez; Eduardo Damião Da Silva; João Silvestre Silva-Junior; Roland W. Scholz. 2020. "South American Expert Roundtable: Increasing Adaptive Governance Capacity for Coping with Unintended Side Effects of Digital Transformation." Sustainability 12, no. 2: 718.

Research article
Published: 12 November 2019 in Environment and Planning B: Urban Analytics and City Science
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Exposure to nature is thought to benefit mental health and wellbeing. However, many studies consider greenspace as a single entity, which overlooks the potential significance of the various forms of greenspace, and natural greenspaces in particular. This study was designed to investigate the association between different types of greenspace and mental wellbeing. Drawing wellbeing and socioeconomic data from the Annual Population Survey (2012–2015), and shapefiles from the Greenspace Information for Greater London group, the amount of greenspace accessible within a 300 m walk of individual’s postcodes was calculated, and categorised according to type. Spatial Error Models were used to account for spatial patterns in the data. Natural greenspace was significantly associated with improved life satisfaction ( B = 0.028, p < 0.001) and happiness ( B = 0.023, p = 0.019) scores. The spatial autoregressive parameter ([Formula: see text]) was small but significant ( p < 0.001), implying slight second-order spatial variation in the model. These results imply that natural areas may be more important for hedonic mental wellbeing than other greenspaces. Future research is needed on exploring causal relationships between exposure to greenspace and mental wellbeing outcomes.

ACS Style

Victoria Houlden; João Porto de Albuquerque; Scott Weich; Stephen Jarvis. Does nature make us happier? A spatial error model of greenspace types and mental wellbeing. Environment and Planning B: Urban Analytics and City Science 2019, 48, 655 -670.

AMA Style

Victoria Houlden, João Porto de Albuquerque, Scott Weich, Stephen Jarvis. Does nature make us happier? A spatial error model of greenspace types and mental wellbeing. Environment and Planning B: Urban Analytics and City Science. 2019; 48 (4):655-670.

Chicago/Turabian Style

Victoria Houlden; João Porto de Albuquerque; Scott Weich; Stephen Jarvis. 2019. "Does nature make us happier? A spatial error model of greenspace types and mental wellbeing." Environment and Planning B: Urban Analytics and City Science 48, no. 4: 655-670.

Journal article
Published: 21 June 2019 in Applied Geography
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While local-area greenspace is associated with reduced symptoms of mental distress and greater life satisfaction, most previous research has measured the amount of local-area greenspace within administrative boundaries, and found mixed results for associations between greenspace and multidimensional mental wellbeing. The study was designed to examine whether the amount of greenspace within a radius of individuals’ homes was associated with mental wellbeing, testing the government guideline that greenspace should be available within 300 m of homes. Individual and Household-level data were drawn from the Annual Population Survey at postcode level (APS, Pooled Dataset 2012–2015), which includes 3 mental wellbeing measures, covering aspects of life satisfaction, sense of worth, and happiness, as well as a range of socio-demographic variables. Greenspace data were obtained Greenspace Information for Greater London Group (GiGL), and was used to calculated the amount of greenspace within a 300 m radius of individuals. Linear regression models revealed positive and statistically significant associations between the amount of greenspace and indicators of life satisfaction and worth. Moran's I, an indicator of spatial autocorrelation, revealed statistically significant clustering of the residuals of these models, so Geographically Weighted Regression (GWR) models were calculated, in order to adjust for underlying spatial processes within the data and investigate the geographic variation in the association between local greenspace and mental wellbeing. The global GWR model revealed that an increase in 1 ha of greenspace within 300 m of residents was associated with a statistically significant 0.803 increase in life satisfaction, 0.740 and 0.521 for worth and happiness, respectively. This therefore provides some support for the inclusion of greenspace within 300 m of homes. Local GWR coefficients revealed slight variation in the strength of these associations across the study space. Therefore, further analyses are required to investigate whether the walking (network distance), absolute size, or type of each greenspace are able to explain this spatial variation.

ACS Style

Victoria Houlden; João Porto de Albuquerque; Scott Weich; Stephen Jarvis. A spatial analysis of proximate greenspace and mental wellbeing in London. Applied Geography 2019, 109, 102036 .

AMA Style

Victoria Houlden, João Porto de Albuquerque, Scott Weich, Stephen Jarvis. A spatial analysis of proximate greenspace and mental wellbeing in London. Applied Geography. 2019; 109 ():102036.

Chicago/Turabian Style

Victoria Houlden; João Porto de Albuquerque; Scott Weich; Stephen Jarvis. 2019. "A spatial analysis of proximate greenspace and mental wellbeing in London." Applied Geography 109, no. : 102036.

Analysis
Published: 22 March 2019 in BMJ Global Health
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Despite an estimated one billion people around the world living in slums, most surveys of health and well-being do not distinguish between slum and non-slum urban residents. Identifying people who live in slums is important for research purposes and also to enable policymakers, programme managers, donors and non-governmental organisations to better target investments and services to areas of greatest deprivation. However, there is no consensus on what a slum is let alone how slums can be distinguished from non-slum urban precincts. Nor has attention been given to a more fine-grained classification of urban spaces that might go beyond a simple slum/non-slum dichotomy. The purpose of this paper is to provide a conceptual framework to help tackle the related issues of slum definition and classification of the urban landscape. We discuss:The concept of space as an epidemiological variable that results in ‘neighbourhood effects’.The problems of slum area definition when there is no ‘gold standard’.A long-list of variables from which a selection must be made in defining or classifying urban slum spaces.Methods to combine any set of identified variables in an operational slum area definition.Two basic approaches to spatial slum area definitions—top-down (starting with a predefined area which is then classified according to features present in that area) and bottom-up (defining the areal unit based on its features).Different requirements of a slum area definition according to its intended use.Implications for research and future development.

ACS Style

Richard Lilford; Catherine Kyobutungi; Robert Ndugwa; Jo Sartori; Samuel I Watson; Richard Sliuzas; Monika Kuffer; Timothy Hofer; Joao Porto De Albuquerque; Alex Ezeh. Because space matters: conceptual framework to help distinguish slum from non-slum urban areas. BMJ Global Health 2019, 4, e001267 .

AMA Style

Richard Lilford, Catherine Kyobutungi, Robert Ndugwa, Jo Sartori, Samuel I Watson, Richard Sliuzas, Monika Kuffer, Timothy Hofer, Joao Porto De Albuquerque, Alex Ezeh. Because space matters: conceptual framework to help distinguish slum from non-slum urban areas. BMJ Global Health. 2019; 4 (2):e001267.

Chicago/Turabian Style

Richard Lilford; Catherine Kyobutungi; Robert Ndugwa; Jo Sartori; Samuel I Watson; Richard Sliuzas; Monika Kuffer; Timothy Hofer; Joao Porto De Albuquerque; Alex Ezeh. 2019. "Because space matters: conceptual framework to help distinguish slum from non-slum urban areas." BMJ Global Health 4, no. 2: e001267.

Conference paper
Published: 01 January 2019 in Proceedings of the 52nd Hawaii International Conference on System Sciences
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Joao Porto De Albuquerque; Godwin Yeboah; Vangelis Pitidis; Philipp Ulbrich. Towards a Participatory Methodology for Community Data Generation to Analyse Urban Health Inequalities: A Multi-Country Case Study. Proceedings of the 52nd Hawaii International Conference on System Sciences 2019, 1 .

AMA Style

Joao Porto De Albuquerque, Godwin Yeboah, Vangelis Pitidis, Philipp Ulbrich. Towards a Participatory Methodology for Community Data Generation to Analyse Urban Health Inequalities: A Multi-Country Case Study. Proceedings of the 52nd Hawaii International Conference on System Sciences. 2019; ():1.

Chicago/Turabian Style

Joao Porto De Albuquerque; Godwin Yeboah; Vangelis Pitidis; Philipp Ulbrich. 2019. "Towards a Participatory Methodology for Community Data Generation to Analyse Urban Health Inequalities: A Multi-Country Case Study." Proceedings of the 52nd Hawaii International Conference on System Sciences , no. : 1.

Conference paper
Published: 01 January 2019 in Proceedings of the 52nd Hawaii International Conference on System Sciences
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Kamaran Sheikh; Joao Baptista; Joao Porto De Albuquerque. Spatial Practices in Digital Work: Calling for a Spatial Turn in Information Systems Research. Proceedings of the 52nd Hawaii International Conference on System Sciences 2019, 1 .

AMA Style

Kamaran Sheikh, Joao Baptista, Joao Porto De Albuquerque. Spatial Practices in Digital Work: Calling for a Spatial Turn in Information Systems Research. Proceedings of the 52nd Hawaii International Conference on System Sciences. 2019; ():1.

Chicago/Turabian Style

Kamaran Sheikh; Joao Baptista; Joao Porto De Albuquerque. 2019. "Spatial Practices in Digital Work: Calling for a Spatial Turn in Information Systems Research." Proceedings of the 52nd Hawaii International Conference on System Sciences , no. : 1.

Chapter
Published: 01 January 2019 in Environmental Information Systems
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Volunteered Geographic Information (VGI) has emerged as an important additional source of information for improving the resilience of cities and communities in the face of natural hazards and extreme weather events. This chapter summarizes the existing research in this area and offers an interdisciplinary perspective of the challenges to be overcome, by presenting AGORA: A Geospatial Open collaboRative Architecture for building resilience against disasters and extreme events. AGORA structures the challenges of using VGI for disaster management into three layers: acquisition, integration and application. The chapter describes the research challenges involved in each of these layers, as well as reporting on the results achieved so far and the lessons learned in the context of flood risk management in Brazil. Furthermore, the chapter concludes by setting out an interdisciplinary research agenda for leveraging VGI to improve disaster resilience.

ACS Style

João Porto De Albuquerque; Flávio Eduardo Aoki Horita; Livia Castro Degrossi; Roberto Dos Santos Rocha; Sidgley Camargo De Andrade; Camilo Restrepo-Estrada; Werner Leyh. Leveraging Volunteered Geographic Information to Improve Disaster Resilience. Environmental Information Systems 2019, 1636 -1662.

AMA Style

João Porto De Albuquerque, Flávio Eduardo Aoki Horita, Livia Castro Degrossi, Roberto Dos Santos Rocha, Sidgley Camargo De Andrade, Camilo Restrepo-Estrada, Werner Leyh. Leveraging Volunteered Geographic Information to Improve Disaster Resilience. Environmental Information Systems. 2019; ():1636-1662.

Chicago/Turabian Style

João Porto De Albuquerque; Flávio Eduardo Aoki Horita; Livia Castro Degrossi; Roberto Dos Santos Rocha; Sidgley Camargo De Andrade; Camilo Restrepo-Estrada; Werner Leyh. 2019. "Leveraging Volunteered Geographic Information to Improve Disaster Resilience." Environmental Information Systems , no. : 1636-1662.

Chapter
Published: 01 January 2019 in Emergency and Disaster Management
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Volunteered Geographic Information (VGI) has emerged as an important additional source of information for improving the resilience of cities and communities in the face of natural hazards and extreme weather events. This chapter summarizes the existing research in this area and offers an interdisciplinary perspective of the challenges to be overcome, by presenting AGORA: A Geospatial Open collaboRative Architecture for building resilience against disasters and extreme events. AGORA structures the challenges of using VGI for disaster management into three layers: acquisition, integration and application. The chapter describes the research challenges involved in each of these layers, as well as reporting on the results achieved so far and the lessons learned in the context of flood risk management in Brazil. Furthermore, the chapter concludes by setting out an interdisciplinary research agenda for leveraging VGI to improve disaster resilience.

ACS Style

João Porto De Albuquerque; Flávio Eduardo Aoki Horita; Livia Castro Degrossi; Roberto Dos Santos Rocha; Sidgley Camargo De Andrade; Camilo Restrepo-Estrada; Werner Leyh. Leveraging Volunteered Geographic Information to Improve Disaster Resilience. Emergency and Disaster Management 2019, 1698 -1723.

AMA Style

João Porto De Albuquerque, Flávio Eduardo Aoki Horita, Livia Castro Degrossi, Roberto Dos Santos Rocha, Sidgley Camargo De Andrade, Camilo Restrepo-Estrada, Werner Leyh. Leveraging Volunteered Geographic Information to Improve Disaster Resilience. Emergency and Disaster Management. 2019; ():1698-1723.

Chicago/Turabian Style

João Porto De Albuquerque; Flávio Eduardo Aoki Horita; Livia Castro Degrossi; Roberto Dos Santos Rocha; Sidgley Camargo De Andrade; Camilo Restrepo-Estrada; Werner Leyh. 2019. "Leveraging Volunteered Geographic Information to Improve Disaster Resilience." Emergency and Disaster Management , no. : 1698-1723.

Journal article
Published: 26 December 2018 in ISPRS International Journal of Geo-Information
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There is much discussion regarding the Sustainable Development Goals’ (SDGs) capacity to promote inclusive development. While some argue that they represent an opportunity for goal-led alignment of stakeholders and evidence-based decision-making, other voices express concerns as they perceive them as a techno-managerial framework that measures development according to quantitatively defined parameters and does not allow for local variation. We argue that the extent to which the positive or negative aspects of the SDGs prevail depends on the monitoring system’s ability to account for multiple and intersecting inequalities. The need for sub-nationally (urban) representative indicators poses an additional methodological challenge—especially in cities with intra-urban inequalities related to socio-spatial variations across neighbourhoods. This paper investigates the extent to which the SDG indicators’ representativeness could be affected by inequalities. It does so by proposing a conceptual framing for understanding the relation between inequalities and SDG monitoring, which is then applied to analyse the current methodological proposals for the indicator framework of the “urban SDG,” Goal 11. The outcome is a call for (1) a more explicit attention to intra-urban inequalities, (2) the development of a methodological approach to “recalibrate” the city-level indicators to account for the degree of intra-urban inequalities, and (3) an alignment between methodologies and data practices applied for monitoring SDG 11 and the extent of the underlying inequalities within the city. This would enable an informed decision regarding the trade-off in indicator representativeness between conventional data sources, such as censuses and household surveys, and emerging methods, such as participatory geospatial methods and citizen-generated data practices.

ACS Style

Philipp Ulbrich; João Porto De Albuquerque; Jon Coaffee. The Impact of Urban Inequalities on Monitoring Progress towards the Sustainable Development Goals: Methodological Considerations. ISPRS International Journal of Geo-Information 2018, 8, 6 .

AMA Style

Philipp Ulbrich, João Porto De Albuquerque, Jon Coaffee. The Impact of Urban Inequalities on Monitoring Progress towards the Sustainable Development Goals: Methodological Considerations. ISPRS International Journal of Geo-Information. 2018; 8 (1):6.

Chicago/Turabian Style

Philipp Ulbrich; João Porto De Albuquerque; Jon Coaffee. 2018. "The Impact of Urban Inequalities on Monitoring Progress towards the Sustainable Development Goals: Methodological Considerations." ISPRS International Journal of Geo-Information 8, no. 1: 6.