SDG Indicator 11.3.1 and Secondary Cities: An Analysis and Assessment

Secondary cities are rapidly growing areas in low- and middle-income countries that lack data, planning, and essential services for sustainable development. Their rapid, informal growth patterns mean secondary cities are often data-poor and under-resourced, impacting the ability of governments to ta...

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Autores principales: Melinda Laituri, Danielle Davis, Faith Sternlieb, Kathleen Galvin
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/c2d0a6ddadba498192cf18bae0402a90
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spelling oai:doaj.org-article:c2d0a6ddadba498192cf18bae0402a902021-11-25T17:52:39ZSDG Indicator 11.3.1 and Secondary Cities: An Analysis and Assessment10.3390/ijgi101107132220-9964https://doaj.org/article/c2d0a6ddadba498192cf18bae0402a902021-10-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/713https://doaj.org/toc/2220-9964Secondary cities are rapidly growing areas in low- and middle-income countries that lack data, planning, and essential services for sustainable development. Their rapid, informal growth patterns mean secondary cities are often data-poor and under-resourced, impacting the ability of governments to target development efforts, respond to emergencies, and design sustainable futures. The United Nations’ Sustainable Development Goal (SDG) 11 focuses on inclusive, safe, resilient, and sustainable cities and human settlements. SDG Indicator (SDGI) 11.3.1 calculates the ratio of land consumption rate to population growth rate to enhance inclusive and sustainable urbanization. Our paper compares three cities—Denpasar, Indonesia; Kharkiv, Ukraine; and Mekelle, Ethiopia—that were part of the Secondary Cities (2C) Initiative of the U.S. Department of State, Office of the Geographer and Global Issues to assess SDGI 11.3.1. The 2C Initiative focused on field-based participatory mapping for data generation to assist city planning. Urban form and population data are critical for calculating and visually representing this ratio. We examine the spatial extent of each city to assess land use efficiency (LUE) and track changes in urban form over time. With limited demographic and spatial data for secondary cities, we speculate whether SDGI 11.3.1 is useful for small- and medium-sized cities.Melinda LaituriDanielle DavisFaith SternliebKathleen GalvinMDPI AGarticlesecondary citiesSustainable Development Goalsland consumptionurban growthSustainable Development Goal Indicator 11.3.1planningGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 713, p 713 (2021)
institution DOAJ
collection DOAJ
language EN
topic secondary cities
Sustainable Development Goals
land consumption
urban growth
Sustainable Development Goal Indicator 11.3.1
planning
Geography (General)
G1-922
spellingShingle secondary cities
Sustainable Development Goals
land consumption
urban growth
Sustainable Development Goal Indicator 11.3.1
planning
Geography (General)
G1-922
Melinda Laituri
Danielle Davis
Faith Sternlieb
Kathleen Galvin
SDG Indicator 11.3.1 and Secondary Cities: An Analysis and Assessment
description Secondary cities are rapidly growing areas in low- and middle-income countries that lack data, planning, and essential services for sustainable development. Their rapid, informal growth patterns mean secondary cities are often data-poor and under-resourced, impacting the ability of governments to target development efforts, respond to emergencies, and design sustainable futures. The United Nations’ Sustainable Development Goal (SDG) 11 focuses on inclusive, safe, resilient, and sustainable cities and human settlements. SDG Indicator (SDGI) 11.3.1 calculates the ratio of land consumption rate to population growth rate to enhance inclusive and sustainable urbanization. Our paper compares three cities—Denpasar, Indonesia; Kharkiv, Ukraine; and Mekelle, Ethiopia—that were part of the Secondary Cities (2C) Initiative of the U.S. Department of State, Office of the Geographer and Global Issues to assess SDGI 11.3.1. The 2C Initiative focused on field-based participatory mapping for data generation to assist city planning. Urban form and population data are critical for calculating and visually representing this ratio. We examine the spatial extent of each city to assess land use efficiency (LUE) and track changes in urban form over time. With limited demographic and spatial data for secondary cities, we speculate whether SDGI 11.3.1 is useful for small- and medium-sized cities.
format article
author Melinda Laituri
Danielle Davis
Faith Sternlieb
Kathleen Galvin
author_facet Melinda Laituri
Danielle Davis
Faith Sternlieb
Kathleen Galvin
author_sort Melinda Laituri
title SDG Indicator 11.3.1 and Secondary Cities: An Analysis and Assessment
title_short SDG Indicator 11.3.1 and Secondary Cities: An Analysis and Assessment
title_full SDG Indicator 11.3.1 and Secondary Cities: An Analysis and Assessment
title_fullStr SDG Indicator 11.3.1 and Secondary Cities: An Analysis and Assessment
title_full_unstemmed SDG Indicator 11.3.1 and Secondary Cities: An Analysis and Assessment
title_sort sdg indicator 11.3.1 and secondary cities: an analysis and assessment
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/c2d0a6ddadba498192cf18bae0402a90
work_keys_str_mv AT melindalaituri sdgindicator1131andsecondarycitiesananalysisandassessment
AT danielledavis sdgindicator1131andsecondarycitiesananalysisandassessment
AT faithsternlieb sdgindicator1131andsecondarycitiesananalysisandassessment
AT kathleengalvin sdgindicator1131andsecondarycitiesananalysisandassessment
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