How to Contextualize SDG 11? Looking at Indicators for Sustainable Urban Development in Germany
Abstract
:1. Introduction
2. Framing the Implementation of the SDGs in Cities on National Level
3. Germany and the SDGs
3.1. The German National Sustainable Development Strategy and SDG 11
- Goal has (almost) been reached
- Development is heading in the right direction, but between 5–20% of the goal is not being met
- Development is heading in the right direction, but a gap of more than 20% remains
- Development is heading in the wrong direction (cf. “status” in Table 1).
3.2. SDG Indicators for Municipalities
3.3. www.2030-watch.de
4. Discussion: Comparison of Targets and Indicators of the Different Approaches
- The adjustments of SDG 11 in Germany made by the three approaches limit the international comparability on the progress made toward a sustainable urban development based on UN indicators. Whether a city in Germany is performing well and is on its track to achieve the SDGs (or at least SDG 11) depends on the adoption of specific indicators. As no clear thresholds were set, it will still depend on the cities to develop their individual ones as well as monitoring systems to evaluate success and progress. If other indicators would have been chosen (for example SDG 11.4 “Cultural heritage” or SDG 11.a. “Linkages between urban, peri-urban, and rural areas”), the same city probably would have performed differently. Cross-national comparisons are therefore useless if they are not based on the same indicators. A related challenge is the comparison between cities of the Global North and the Global South, as the ignorance of several SDG 11 indicators by Germany reveals. Not all the 10 targets and 15 indicators are helpful in the same way, for cities in different contexts. The translation of the SDGs to a specific country or city is a process in which the priorities for sustainable urban development need to be defined according to prevailing sustainability challenges. These priorities may differ especially in cities of the Global North and Global South. While in this way, comparability on the process of SDG implementation can hardly be achieved through indicators, it is important to emphasize the general need of transformations of both cities of the Global South and North. Therefore, comparability can focus on process indicators, such as how the contextualization took place, what participation methods have been implemented, and how transparent and inclusive was the process. Nevertheless, this is even harder to measure, as quantitative data does not exist.
- The three approaches address the challenges of scale and target setting in different ways. Only the DIFU project followed a specific local approach and facilitated data at the municipal level, while the GSDS and 2030-watch did not provide disaggregated data at the city level. That is why the conclusions of the GSDS and 2030-watch only have limited relevance for urban development strategies in cities. For example, the indicator “Share of people in households that spend more than 40% of their disposable income on living expenses” by the GSDS does not tell anything about how the situation is in a specific city. If the value of the indicator decreases in general, this does not allow concluding that political instruments such as rent control or the construction of social housing are not needed anymore in cities with a tense real estate market. This means that it is the responsibility of the cities to thoroughly define individual indicators. This needs to be done by analyzing the local situation in order to develop context-specific municipal sustainability strategies to address SDGs. In consequence, national urban politics to support SDG implementation should be framed in a way that they provide guidance and define general targets to be reached, but leave it up to the cities to develop their individual strategies within the given framework. Therefore, disaggregated data can be an important source to monitor the divergent developments taking place within the same national context. As up to now, no difference is made by the GSDS between metropolitan regions, peri-urban settlement structures, or conurbations. Therefore, future approaches should focus on how data on the SDGs can be aggregated in order to grasp complex urban–rural relations as well.
- One of the innovations of the GSDS is its focus on sustainability measures in Germany, measures by Germany, as well as measures with Germany. This shows that the German government acknowledges its global responsibility for local actions, and highlights the interconnectedness of sustainable development. However, the indicators of SDG 11 do not reflect this. Even though the role of cities for global sustainability action (for example regarding combat climate change [42,43,44]) is known, also the current indicators used by the three German initiatives do not address the role of cities as global sustainability actors. The indicators focus exclusively on the situation in German cities, neglecting measures by and with German cities. Possible indicators could address, for example, international sustainable development initiatives supported by German cities according to SDG 11.c. The lack of indicators concerning ‘measures of’, ‘measures by’, and ‘measures with’ German cities has also been acknowledged by the DIFU project, and is identified as one future research priority of the project.
5. Conclusions and Recommendations
Funding
Conflicts of Interest
References
- United Nations Sustainable Development Goals. 17 Goals to Transform Our World: United Nations Sustainable Development 2015; United Nations Press: New York, NY, USA, 2015. [Google Scholar]
- Bowen, K.J.; Cradock-Henry, N.A.; Koch, F.; Patterson, J.; Häyhä, T.; Vogt, J.; Barbi, F. Implementing the “Sustainable Development Goals”: Towards addressing three key governance challenges—Collective action, trade-offs, and accountability. Curr. Opin. Environ. Sustain. 2017, 26–27, 90–96. [Google Scholar] [CrossRef]
- Braveboy-Wagner, J. (Ed.) Diplomatic Strategies of Nations in the Global South. The Search for Leadership; Palgrave Macmillan: New York, NY, USA, 2016. [Google Scholar]
- Wagner, P. (Ed.) The Moral Mappings of South and North; Edinburgh University Press: Edinburgh, UK, 2017. [Google Scholar]
- McFarlane, C. The Comparative City: Knowledge, Learning, Urbanism. IJURR 2010, 34, 715–742. [Google Scholar] [CrossRef]
- Miraftab, F.; Kudva, N. (Eds.) Cities of the Global South Reader; Routledge: New York, NY, USA, 2015. [Google Scholar]
- Pieterse, E. Recasting urban sustainability in the South. Development 2011, 54, 309–316. [Google Scholar] [CrossRef]
- Nagendra, H.; Bai, X.; Brndizio, E.; Lwasa, S. The urban south and the predicament of global sustainability. Nat.Sustain. 2018, 1, 341–349. [Google Scholar] [CrossRef]
- Nagendra, H. The global south is rich in sustainability lessons. Nature 2018, 555, 485–488. [Google Scholar] [CrossRef] [PubMed]
- Parnell, S.; Oldfield, S. (Eds.) The Routledge Handbook on Cities of the Global South; Routledge: New York, NY, USA, 2014. [Google Scholar]
- Brandt, W. North-South: A Programme for Survival North-South: Report of the Independent Commission on International Development Issues; MIT Press: Cambridge, MA, USA, 1980. [Google Scholar]
- Biermann, F.; Kanie, N.; Kim, R. Global Governance by goal-setting: The novel approach of the UN Sustainable Development Goals. Curr. Opin. Environ. Sustain. 2017, 26, 26–31. [Google Scholar] [CrossRef]
- UN Habitat. Tracking Progress towards Inclusive, Safe, Resilient and Sustainable Cities and Human Settlements; SDG 11 Synthesis Report; High Level Political Forum 2018. 2018. Available online: https://unhabitat.org/sdg-11-synthesis-report/ (accessed on 24 July 2018).
- Fenton, P.; Gustafsson, S. Moving from high-level words to local action—Governance for urban sustainability in municipalities. Curr. Opin. Environ. Sustain. 2017, 26–27, 129–133. [Google Scholar] [CrossRef]
- Janousková, S.; Hák, T.; Moldan, B. Global SDGs Assessments: Helping or Confusing Indicators. Sustainability 2018, 10, 1540. [Google Scholar] [CrossRef]
- Lu, Y.; Nakicenovic, N.; Visbeck, M.; Stevance, A.-S. Five priorities for the UN sustainable development goals. Nature 2015, 520, 432–433. [Google Scholar] [CrossRef] [PubMed]
- Flückiger, Y.; Seth, N. Sustainable development goals: SDG indicators need crowdsourcing. Nature 2016, 531, 448. [Google Scholar] [CrossRef] [PubMed]
- Simon, D.; Arfvidsson, H.; Anand, G.; Bazaz, A.; Fenna, G.; Foster, K.; Jain, G.; Hansson, S.; Evans, L.M.; Moodley, N.; et al. Developing and testing the Urban Sustainable Development Goal’s targets and indicators—A five-city study. Environ. Urban. 2016, 28, 49–63. [Google Scholar] [CrossRef]
- Tosun, J.; Leininger, J. Governing the interlinkages between the Sustainable Development Goals: Approaches to attain policy integration. Glob. Challenges 2017, 1. [Google Scholar] [CrossRef]
- Satterthwaite, D. Where Are the Local Indicators for the SDGs? Blog of the IIED. 2016. Available online: http://www.iied.org/where-are-local-indicators-for-sdgs (accessed on 22 July 2018).
- Koch, F.; Ahmad, S. How to measure progress towards an inclusive, safe, resilient and sustainable city? Reflections on applying the indicators of sustainable development goal 11 in Germany and India. In Urban Transformations—Sustainable Urban Development through Resource Efficiency, Quality of Life and Resilience. Future City 10; Kabisch, S., Koch, F., Gawel, E., Haase, A., Knapp, S., Krellenberg, K., Nivala, J., Zehnsdorf, A., Eds.; Springer International Publishing: Cham, Switzerland, 2018; pp. 77–90. [Google Scholar]
- Schnorr-Bäcker, S. New Data Sources for Official Statistics for Monitoring Comprehensive Sustainability Strategies. Abstract for the 34th IARIW General Conference, Dresden. 2016. Available online: http://www.iariw.org/dresden/schnorr-abs.pdf (accessed on 19 July 2018).
- Patel, Z.; Greyling, S.D.; Arfvidsson, H.; Moodley, N.; Primo, N.; Wright, C. Local responses to global sustainability agendas: Learning from experimenting with the urban sustainable development goal in Cape Town. Sustain. Sci. 2017, 12, 785–797. [Google Scholar] [CrossRef] [PubMed]
- Arfvidsson, H.; Simon, D.; Oloko, M.; Moodley, N. Engaging with and measuring Informality in the proposed urban sustainable development goal. Afr. Geogr. Rev. 2016, 36, 100–114. [Google Scholar]
- Bundesregierung. Deutsche Nachhaltigkeitsstrategie. Neuauflage 2016. 2017. Available online: https://www.bundesregierung.de/Content/Infomaterial/BPA/Bestellservice/Deutsche_Nachhaltigkeitsstrategie_Neuauflage_2016.html?view=trackDownload (accessed on 23 August 2018).
- Assmann, D.; Honold, J.; Grabow, B.; Roose, J. SDG-Indikatoren für Kommunen – Indikatoren zur Abbildung der Sustainable Development Goals der Vereinten Nationen in deutschen Kommunen; Bertelsmann Stiftung, BBSR, Deutscher Landkreistag, Deutscher Städtetag, Deutscher Städte- und Gemeindebund, DIFU, Engagement Global: Gütersloh, Germany, 2018. [Google Scholar]
- 2030-wat2ch. Available online: www.2030-watch.de (accessed on 23 August 2018).
- Misselwitz, P.; Salcedo Villanueva, J.; Meinert, G. The urban dimension of the SDGs: Implications for the New Urban Agenda. In Sustainable Development Goals and Habitat III: Opportunities for a Successful New Urban Agenda; Brussels, C., Ed.; Cities Alliance Discussion Paper Number 3; Cities Alliance: Brussels, Belgium, 2015. [Google Scholar]
- Kaika, M. Don’t call me resilient again!’: The New Urban Agenda as immunology … or … what happens when communities refuse to be vaccinated with ‘smart cities’ and indicators. Environ. Urban. 2017, 29, 89–102. [Google Scholar] [CrossRef]
- Haase, D.; Kabisch, S.; Haase, A.; Andersson, E.; Banzhaf, E.; Baró, F.; Brenck, M.; Fischer, L.K.; Frantzeskaki, N.; Kabisch, N.; et al. Greening cities—To be socially inclusive? About the alleged paradox of society and ecology in cities. Habitat Int. 2017, 64, 41–48. [Google Scholar] [CrossRef]
- Sattherthwaite, D. Who Can Implement the Sustainable Development Goals in Urban Areas. In The Urban Planet; Elmquist, T., Bai, X., Frantzeskaki, N., Griffith, C., McPhearson, T., Parnell, S., Romero-Lankao, P., Simon, D., Watkins, M., Eds.; Cambridge University Press: Cambridge, UK, 2018. [Google Scholar]
- Kopnina, H. The victims of unsustainability: A challenge to sustainable development goals. Int. J. Sustain. Dev. World Ecol. 2016, 23, 113–121. [Google Scholar] [CrossRef]
- Unmüßig, B. Agenda 2030: A New Path for All? 2015. Available online: https://www.boell.de/en/2016/01/22/agenda-2030-new-path-all (accessed on 13 May 2018).
- Simon, D.; Arfidsson, H. Pilot Project to Test Potential Targets and Indicators for the Urban Sustainable Development Goal 11; Final Report; 2015. Available online: http://www.mistraurbanfutures.org/en/pilot-project-test-potential-targets-and-indicators-urban-sustainable-development-goal (accessed on 27 January 2018).
- Kharrazi, A.; Qin, H.; Zhang, Y. Urban Big Data and Sustainable Development Goals: Challenges and Opportunities. Sustainability 2016, 8, 1293. [Google Scholar] [CrossRef]
- Desai, D.; Schomerus, M. ‘ThereWas A ThirdMan… ’: Tales from a Global Policy Consultation on Indicators for the Sustainable Development Goals. Dev. Chang. 2018, 49, 89–115. [Google Scholar] [CrossRef]
- Parnell, S. Defining a Global Urban Development Agenda. World Dev. 2016, 78, 529–540. [Google Scholar] [CrossRef]
- Bundesregierung 2018. Available online: https://www.bundesregierung.de/Content/DE/StatischeSeiten/Breg/koalitionsvertrag-inhaltsverzeichnis.html (accessed on 23 August 2018).
- Wegweiser Kommune 2018. Available online: www.wegweiser-kommune.de (accessed on 23 August 2018).
- Fünfgeld, H. Facilitating Local Climate Change Adaptation through Transnational Municipal Networks. Curr. Opin. Environ. Sustain. 2015, 12, 67–73. [Google Scholar] [CrossRef]
- Chu, E.K. Cities in the Global Climate Marketplace: Transnational Actors and the Governance of Urban Climate Adaptation in India. In Proceedings of the Berlin Conference on Global Environmental Change, Research Center for Environment Policy, Berlin, Germany, 23–24 May 2016. [Google Scholar]
- Bansard, J.S.; Pattberg, P.H.; Widerberg, O. Cities to the rescue? Assessing the performance of transnational municipal networks in global climate governance. Int. Environ. Agreem. Politics Law Econ. 2017, 17, 229–246. [Google Scholar] [CrossRef]
- Nilsson, M.; Griggs, D.; Visbeck, M. Map the interactions between Sustainable Development Goals. Nature 2016, 534, 320–322. [Google Scholar] [CrossRef] [PubMed]
- Nilsson, M.; Chisholm, E.; Griggs, D.; Howden-Chapman, P.; McCollum, D.; Messerli, P.; Neumann, B.; Stevance, A.S.; Visbeck, M.; Stafford-Smith, M. Mapping interactions between the sustainable development goals: Lessons learned and ways forward. Sustain. Sci. 2018. [Google Scholar] [CrossRef]
- LAG 21 NRW/SKEW. GNK – Global Nachhaltige Kommune NRW. Gesamtdokumentation. Dortmund. Available online: https://www.lag21.de/projekte/details/global-nachhaltige-kommune (accessed on 10 July 2018).
- Griggs, D.; Nilsson, M.; Stevance, A.; McCollum, D. (Eds.) A Guide to SDG Interactions: From Science to Implementation; International Council for Science (ICSU): Paris, France, 2017. [Google Scholar]
SDG 11 | Indicator Field | Indicator | Measurement | Status |
---|---|---|---|---|
11.1 | Land use: Sustainable Land use | Built-up area and transport infrastructure expansion | To be reduced to 30 ha minus × per day by 2030 | Goal has (almost) been reached |
11.1 | Loss of open space in m²/inhabitant | Reduction in the loss of open space per inhabitant | Goal has (almost) been reached | |
11.1.c | Inhabitants by area occupied by built-up areas and transport infrastructure (settlement density) | No reduction in settlement density | Development is heading in the right direction, but a gap of more than 20% remains | |
11.2 | Mobility: Guaranteeing mobility—protecting the environment | Final energy consumption in freight transport | Reduce 15% to 20% by 2030 | Development is heading in the wrong direction |
11.2 | Final energy consumption in passenger transport | Reduce 15% to 20% by 2030 | Development is heading in the wrong direction | |
11.2 | Population-weighted average travel time with public transport from each stop to the next medium/large-sized city | Reduction | No evaluation possible due to statistical uncertainty | |
11.3 | Housing: Affordable housing for all | Housing cost overload | Proportion of the population to decline 13% by 2030 | Development is heading in the wrong direction |
Indicator | Calculation |
---|---|
11.1.1 Residential rental prices | Average basic rent per square meter |
11.2.1 Modal split | (Traffic volume of pedestrian, bicycle, and public transport traffic/(Overall traffic volume) * 100 |
11.2.2. Traffic injuries | (Number of injured and killed persons in traffic accidents)/(Number of inhabitants) * 1000 |
11.3.1 Land consumption | (Area for settlement and traffic total area * 100) |
11.3.1/11.7 Recreation areas | (Amount of recreation areas)/(Number of inhabitants) |
Target | Indicator |
---|---|
Maintain settlement density | This official indicator of the GSDS is not calculable. Therefore, no progress concerning the achievement of the target/implementation can be calculated |
Reduce the final energy consumption in freight transport | Final energy consumption in freight transport in % |
Reduce the final energy consumption in passenger transport | Final energy consumption in passenger transport in % |
Reduce the increase of built-up area and transport infrastructure area expansion | Built-up area and transport infrastructure area/total area * 100 |
Reduction in the loss of open space per inhabitant | Loss of open space in m²/inhabitants per year |
Reduce exposure to air pollution by particulate matter PM 2.5 | PM 2.5 particulate matter pollution (in µg/m³, 2015) (new indicator, which has not been involved in the GSDS, but is part of the Eurostat SDG monitoring at the European level (Eurostat 2017)) |
Traffic relocation in freight transport | Traffic relocation in freight transport (in % of total km, 2016 (new indicator that is already part of the European Union (EU) sustainability strategy but has not been involved in the GSDS) |
Traffic relocation in passenger transport | Traffic relocation in passenger transport (in % of covered passenger-km) 2015) New indicator that is already part of the EU sustainability strategy, but has not been involved in the GSDS |
Housing cost overload | Housing cost overload (in %) |
Reduction of urban solid waste | Urban solid waste (in kg/capita) (new indicator, which has not been involved in the German Sustainability Strategy) |
Reduction of population-weighted average travel time with public transport from each stop to the next medium-sized/large city | This official indicator of the German National Sustainable Development Strategy has no clearly defined target value. Therefore, no progress concerning the achievement of the target/implementation can be calculated. |
Strategy | Target | Indicator |
---|---|---|
SDG 11 | 11.1 Ensure access for all to adequate, safe, and affordable housing and basic services and upgrade slums | 11.1.1 Proportion of urban population living in slums, informal settlements, or inadequate housing |
GSDS | Housing: Affordable housing for all | Housing cost overload: Proportion of the population to decline to 13% by 2030 |
DIFU | Residential rental prices | Average basic rent per square meter |
2030-watch | Housing cost overload | Housing cost overload (in %) |
SDG 11 | 11.2 Provide access to safe, affordable, accessible and sustainable transport systems for all, improving road safety, notably by expanding public transport, with special attention to the needs of those in vulnerable situations, women, children, persons with disabilities and older persons | 11.2.1 Proportion of population that has convenient access to public transport, by sex, age, and persons with disabilities |
GSDS | Mobility: Guaranteeing mobility—protecting the environment | Population-weighted average travel time with public transport from each stop to the next medium-sized/large city → Reduction |
Final energy consumption in freight transport → Reduced 15% to 20% by 2030 | ||
Final energy consumption in passenger transport → Reduced 15% to 20% by 2030 | ||
DIFU | Modal split | (Traffic volume of pedestrian, bicycle, and public transport traffic/(Overall traffic volume) * 100 |
Traffic injuries | (Number of injured and killed persons in traffic accidents)/(Number of inhabitants) * 1000 | |
2030-watch | Reduce final energy consumption in freight transport | Final energy consumption in freight transport in % |
Reduce final energy consumption in passenger transport | Final energy consumption in passenger transport in % | |
Traffic relocation in freight transport | Traffic relocation in freight transport (in % of total km) | |
Traffic relocation in passenger transport | Traffic relocation in passenger transport (in % of covered passenger-km) | |
SDG 11 | 11.3 Enhance inclusive and sustainable urbanization and capacity for participatory, integrated, and sustainable human settlement planning and management in all countries | 11.3.1 Ratio of land consumption rate to population growth rate 11.3.2 Proportion of cities with a direct participation structure of civil society in urban planning and management that operate regularly and democratically |
GSDS | Land use: Sustainable land use | Built-up area and transport infrastructure expansion → To be reduced to 30 ha minus x per day by 2030 Inhabitants by area occupied by built-up areas and transport infrastructure (settlement density) → No reduction in settlement density |
DIFU | Land consumption | Built-up area and transport infrastructure area/total area) * 100 |
2030-watch | - | - |
SDG 11 | 11.4 Strengthen efforts to protect and safeguard the world’s cultural and natural heritage | Total expenditure (public and private) per capita spent on the preservation, protection, and conservation of all cultural and natural heritage, by type of heritage (cultural, natural, mixed, and World Heritage Center designation), level of government (national, regional, and local/municipal), type of expenditure (operating expenditure/investment) and type of private funding (donations in kind, private non-profit sector, and sponsorship) |
Not addressed by GSDS, DIFU and 2030-watch | ||
SDG 11 | 11.5 By 2030, significantly reduce the number of deaths and the number of people affected and substantially decrease the direct economic losses relative to global gross domestic product caused by disasters, including water-related disasters, with a focus on protecting the poor and people in vulnerable situations; | 11.5.1 Number of deaths, missing persons, and persons affected by disaster per 100,000 population 11.5.2 Direct economic loss in relation to global gross domestic product (GDP), damage to critical infrastructure, and number of disruptions to basic services, attributed to disasters |
Not addressed by GSDS, DIFU, and 2030-watch | ||
SDG 11 | 11.6 By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management | 11.6.1 Proportion of urban solid waste regularly collected and with adequate final discharge out of total urban solid waste generated, by cities 11.6.2 Annual mean levels of fine particulate matter (e.g., PM2.5 and PM10) in cities (population weighted) |
Not addressed by GSDS and DIFU | ||
2030-watch | Reduction of urban solid waste | Urban solid waste (in kg/capita) |
Reduce exposure to air pollution by particulate matter | PM2.5 Particulate matter pollution (in µg/m³) | |
SDG 11 | 11.7 By 2030, provide universal access to safe, inclusive and accessible green and public spaces, in particular for women and children, older persons, and persons with disabilities | 11.7.1 Average share of the built-up area of cities that is open space for public use for all, by sex, age, and persons with disabilities 11.7.2 Proportion of persons victim of physical or sexual harassment, by sex, age, disability status, and place of occurrence, in the previous 12 months |
GSDS | Land use: Sustainable land use | Loss of open space in m²/inhabitant → Reduction in the loss of open space per inhabitant |
DIFU | Recreation areas | (Amount of recreation areas)/(Number of inhabitants) |
2030-watch | Reduction in the loss of open space per inhabitant | Loss of open space in m²/inhabitant per year |
SDG 11 | 11.a Support positive economic, social, and environmental links between urban, peri-urban, and rural areas by strengthening national and regional development planning | 11.a.1Proportion of population living in cities that implement urban and regional development plans integrating population projections and resource needs by size of city |
Not addressed by GSDS, DIFU, and 2030-watch | ||
SDG 11 | 11.b By 2020, substantially increase the number of cities and human settlements adopting and implementing integrated policies and plans toward inclusion, resource efficiency, mitigation and adaptation to climate change, resilience to disasters, and develop and implement, in line with the Sendai Framework for Disaster Risk Reduction, holistic disaster risk management at all levels | 11.b.1 Number of countries that adopt and implement national disaster risk reduction strategies in line with the Sendai Framework for Disaster Risk Reduction 2015–2030 11.b.2 Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategies |
Not addressed by GSDS, DIFU and 2030-watch | ||
SDG 11 | 11.c Support least developed countries, including through financial and technical assistance, in building sustainable and resilient buildings utilizing local materials | 11.c.1 Proportion of financial support to the least developed countries that is allocated to the construction and retrofitting of sustainable, resilient, and resource-efficient buildings utilizing local materials |
Not addressed by GSDS, DIFU and 2030-watch |
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Koch, F.; Krellenberg, K. How to Contextualize SDG 11? Looking at Indicators for Sustainable Urban Development in Germany. ISPRS Int. J. Geo-Inf. 2018, 7, 464. https://doi.org/10.3390/ijgi7120464
Koch F, Krellenberg K. How to Contextualize SDG 11? Looking at Indicators for Sustainable Urban Development in Germany. ISPRS International Journal of Geo-Information. 2018; 7(12):464. https://doi.org/10.3390/ijgi7120464
Chicago/Turabian StyleKoch, Florian, and Kerstin Krellenberg. 2018. "How to Contextualize SDG 11? Looking at Indicators for Sustainable Urban Development in Germany" ISPRS International Journal of Geo-Information 7, no. 12: 464. https://doi.org/10.3390/ijgi7120464
APA StyleKoch, F., & Krellenberg, K. (2018). How to Contextualize SDG 11? Looking at Indicators for Sustainable Urban Development in Germany. ISPRS International Journal of Geo-Information, 7(12), 464. https://doi.org/10.3390/ijgi7120464