Pub Date : 2021-02-09DOI: 10.20944/PREPRINTS202102.0242.V1
Ángela Abascal, Natalie Rothwell, Adenike Shonowo, D. Thomson, Peter Eliás, H. Elsey, Godwin Yeboah, M. Kuffer
The majority of urban inhabitants in low- and middle-income country (LMIC) cities live in deprived urban areas. However, statistics and data (e.g., local monitoring of Sustainable Development Goals - SDGs) are hindered by the unavailability of spatial data at metropolitan, city and sub-city scales. Deprivation is a complex and multidimensional concept, which has been captured in existing literature with a strong focus on household-level deprivation while giving limited attention to area-level deprivation. Within this scoping review, we build on existing literature on household- as well as area-level deprivation frameworks to arrive at a combined understanding of how urban deprivation is defined with a focus on LMIC cities. The scoping review was enriched with local stakeholder workshops in LMIC cities to arrive at our framework of Domains of Deprivations, splitting deprivation into three different scales and nine domains. (1) Socio-Economic Status and (2) Housing Domains (Household scale); (3) Social Hazards & Assets, (4) Physical Hazards & Assets, (5) Unplanned Urbanization and (6) Contamination (Within Area scale); and (7) Infrastructure, (8) Facilities & Services and (9) city Governance (Area Connect scale). The Domains of Deprivation framework provides a clear guidance for collecting data on various aspects of deprivation, while providing the flexibility to decide at city level which indicators are most relevant to explain individual domains. The framework provides a conceptual and operational base for the Integrated Deprived Area Mapping System (IDEAMAPS) Project for the creation of a data ecosystem, which facilitates the production of routine, accurate maps of deprived “slum” areas at scale across cities in LMICs. The Domains of Deprivation Framework is designed to support diverse health, poverty, and development initiatives globally to characterize and address deprivation in LMIC cities.
{"title":"\"Domains of deprivation framework\" for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review","authors":"Ángela Abascal, Natalie Rothwell, Adenike Shonowo, D. Thomson, Peter Eliás, H. Elsey, Godwin Yeboah, M. Kuffer","doi":"10.20944/PREPRINTS202102.0242.V1","DOIUrl":"https://doi.org/10.20944/PREPRINTS202102.0242.V1","url":null,"abstract":"The majority of urban inhabitants in low- and middle-income country (LMIC) cities live in deprived urban areas. However, statistics and data (e.g., local monitoring of Sustainable Development Goals - SDGs) are hindered by the unavailability of spatial data at metropolitan, city and sub-city scales. Deprivation is a complex and multidimensional concept, which has been captured in existing literature with a strong focus on household-level deprivation while giving limited attention to area-level deprivation. Within this scoping review, we build on existing literature on household- as well as area-level deprivation frameworks to arrive at a combined understanding of how urban deprivation is defined with a focus on LMIC cities. The scoping review was enriched with local stakeholder workshops in LMIC cities to arrive at our framework of Domains of Deprivations, splitting deprivation into three different scales and nine domains. (1) Socio-Economic Status and (2) Housing Domains (Household scale); (3) Social Hazards & Assets, (4) Physical Hazards & Assets, (5) Unplanned Urbanization and (6) Contamination (Within Area scale); and (7) Infrastructure, (8) Facilities & Services and (9) city Governance (Area Connect scale). The Domains of Deprivation framework provides a clear guidance for collecting data on various aspects of deprivation, while providing the flexibility to decide at city level which indicators are most relevant to explain individual domains. The framework provides a conceptual and operational base for the Integrated Deprived Area Mapping System (IDEAMAPS) Project for the creation of a data ecosystem, which facilitates the production of routine, accurate maps of deprived “slum” areas at scale across cities in LMICs. The Domains of Deprivation Framework is designed to support diverse health, poverty, and development initiatives globally to characterize and address deprivation in LMIC cities.","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"420 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122723662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1016/j.compenvurbsys.2019.101451
M. Hussnain, A. Waheed, G. A. Anjum, M. A. Naeem, E. Hussain, K. Wakil, C. Pettit
{"title":"A framework to bridge digital planning tools' utilization gap in peri-urban spatial planning; lessons from Pakistan","authors":"M. Hussnain, A. Waheed, G. A. Anjum, M. A. Naeem, E. Hussain, K. Wakil, C. Pettit","doi":"10.1016/j.compenvurbsys.2019.101451","DOIUrl":"https://doi.org/10.1016/j.compenvurbsys.2019.101451","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117800610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1016/j.compenvurbsys.2018.08.004
J. Rosser, D. Boyd, G. Long, Sameh Zakhary, Yong Mao, D. Robinson
{"title":"Predicting residential building age from map data","authors":"J. Rosser, D. Boyd, G. Long, Sameh Zakhary, Yong Mao, D. Robinson","doi":"10.1016/j.compenvurbsys.2018.08.004","DOIUrl":"https://doi.org/10.1016/j.compenvurbsys.2018.08.004","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124293459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1016/j.compenvurbsys.2018.10.002
M. Mahmoudi, Ying Song, H. Miller, Xuesong Zhou
{"title":"Accessibility with time and resource constraints: Computing hyper-prisms for sustainable transportation planning","authors":"M. Mahmoudi, Ying Song, H. Miller, Xuesong Zhou","doi":"10.1016/j.compenvurbsys.2018.10.002","DOIUrl":"https://doi.org/10.1016/j.compenvurbsys.2018.10.002","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128624686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1016/j.compenvurbsys.2018.03.009
N. Magliocca, M. Walls
{"title":"The role of subjective risk perceptions in shaping coastal development dynamics","authors":"N. Magliocca, M. Walls","doi":"10.1016/j.compenvurbsys.2018.03.009","DOIUrl":"https://doi.org/10.1016/j.compenvurbsys.2018.03.009","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"119814262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-04DOI: 10.1016/j.compenvurbsys.2018.07.005
J. Mayaud, Martino Tran, R. Pereira, Rohan Nuttall
{"title":"Future access to essential services in a growing smart city: The case of Surrey, British Columbia","authors":"J. Mayaud, Martino Tran, R. Pereira, Rohan Nuttall","doi":"10.1016/j.compenvurbsys.2018.07.005","DOIUrl":"https://doi.org/10.1016/j.compenvurbsys.2018.07.005","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125132159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-11-01DOI: 10.1016/J.COMPENVURBSYS.2015.09.003
A. Agapiou, V. Lysandrou, D. Alexakis, K. Themistocleous, B. Cuca, A. Argyriou, A. Sarris, D. Hadjimitsis
{"title":"Cultural heritage management and monitoring using remote sensing data and GIS: The case study of Paphos area, Cyprus","authors":"A. Agapiou, V. Lysandrou, D. Alexakis, K. Themistocleous, B. Cuca, A. Argyriou, A. Sarris, D. Hadjimitsis","doi":"10.1016/J.COMPENVURBSYS.2015.09.003","DOIUrl":"https://doi.org/10.1016/J.COMPENVURBSYS.2015.09.003","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120792524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-11-01DOI: 10.1016/j.compenvurbsys.2015.09.007
Enrico Steiger, R. Westerholt, Bernd Resch, A. Zipf
{"title":"Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data","authors":"Enrico Steiger, R. Westerholt, Bernd Resch, A. Zipf","doi":"10.1016/j.compenvurbsys.2015.09.007","DOIUrl":"https://doi.org/10.1016/j.compenvurbsys.2015.09.007","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"118902870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-03-01DOI: 10.1016/J.COMPENVURBSYS.2014.11.004
A. Neshat, B. Pradhan, S. Javadi
{"title":"Risk assessment of groundwater pollution using Monte Carlo approach in an agricultural region: An example from Kerman Plain, Iran","authors":"A. Neshat, B. Pradhan, S. Javadi","doi":"10.1016/J.COMPENVURBSYS.2014.11.004","DOIUrl":"https://doi.org/10.1016/J.COMPENVURBSYS.2014.11.004","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"506 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"119326569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：