Publication Cover
Sustainable Environment
An international journal of environmental health and sustainability
Volume 9, 2023 - Issue 1
1,290
Views
0
CrossRef citations to date
0
Altmetric
Environmental Chemistry, Pollution & Waste Management

On the potential of Google Street View for environmental waste quantification in urban Africa: An assessment of bias in spatial coverage

ORCID Icon, , , ORCID Icon, ORCID Icon, , , ORCID Icon & ORCID Icon | (Reviewing editor:) show all
Article: 2251799 | Received 22 May 2023, Accepted 21 Aug 2023, Published online: 31 Aug 2023

References

  • Adam, I., Walker, T. R., Bezerra, J. C., & Clayton, A. (2020). Policies to reduce single-use plastic marine pollution in West Africa marine policy. Marine Policy, 116, 103928. https://doi.org/10.1016/j.marpol.2020.103928
  • Agestika, L., Sintawardani, N., Hamidah, U., Nyambe, S., & Yamauchi, T. (2021). Pattern of child faeces management and disposable diaper usage among under-fives in an urban slum of Bandung. Indonesia Journal of Water, Sanitation and Hygiene for Development, 12(1), 32–16. https://doi.org/10.2166/washdev.2021.099
  • Alkalay, R., Pasternak, G., & Zask, A. (2007). Clean-coast index—A new approach for beach cleanliness assessment. Ocean & Coastal Management, 50(5–6), 352–362. https://doi.org/10.1016/j.ocecoaman.2006.10.002
  • Ammendolia, J., Saturno, J., Brooks, A. L., Jacobs, S., & Jambeck, J. R. (2021). An emerging source of plastic pollution: Environmental presence of plastic personal protective equipment (PPE) debris related to COVID-19 in a metropolitan city. Environmental Pollution, 269, 116160. https://doi.org/10.1016/j.envpol.2020.116160
  • Armitage, N. (2007). The reduction of urban litter in the stormwater drains of South Africa. Urban Water Journal, 4(3), 151–172. https://doi.org/10.1080/15730620701464117
  • Ayeleru, O. O., Okonta, F. N., & Ntuli, F. (2018). Municipal solid waste generation and characterization in the city of Johannesburg: A pathway for the implementation of zero waste. Waste Management, 79, 87–97. https://doi.org/10.1016/j.wasman.2018.07.026
  • Bader, M. D. M., Mooney, S. J., Lee, Y. J., Sheehan, D., Neckerman, K. M., Rundle, A. G., & Teitler, J. O. (2015). Development and deployment of the computer assisted neighborhood visual assessment System (CANVAS) to measure health-related neighborhood conditions. Health & Place, 31, 163–172. https://doi.org/10.1016/j.healthplace.2014.10.012
  • Behuria, P. (2021). Ban the (plastic) bag? Explaining variation in the implementation of plastic bag bans in Rwanda, Kenya and Uganda environment and Planning C. Environment & Planning C: Politics & Space, 39(8), 1791–1808. https://doi.org/10.1177/2399654421994836
  • Cheshire, A., & Adler, E. (2009). UNPE/IOC guidelines on survey and monitoring of marine litter, 186. United Nations Environment Programme/Intergovernmental Oceanographic Commission. Retrieved 15 04 2023. https://tamugir.tdl.org/bitstream/handle/1969.3/29139/Marine_Litter_Survey_and_Monitoring_Guidelines.pdf?sequence=1
  • Engstrom, R., Sandborn, A., Qin, Y., Burgdorfer, J., Stow, D., Weeks, J., & Graesser, J. (2015). Mapping slums using spatial features in Accra, Ghana. 2015 Joint Urban Remote Sensing Event (JURSE), 1–4. 30 March-1 April 2015. https://doi.org/10.1109/JURSE.2015.7120494
  • Ferronato, N., Torretta, V., & Ferronato NTVWMiDCARoGI. (2019). International journal of environmental research and public health. International Journal of Environmental Research and Public Health, 16(6), 1060. https://doi.org/10.3390/ijerph16061060
  • Fry, D., Mooney, S. J., Rodríguez, D. A., Caiaffa, W. T., & Lovasi, G. S. (2020). Assessing Google Street View image availability in Latin American cities. Cities Journal of Urban Health, 97(4), 552–560. https://doi.org/10.1007/s11524-019-00408-7
  • Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., & Michaelsen, J. (2015). The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes Scientific data. Scientific Data, 2(1), 150066. https://doi.org/10.1038/sdata.2015.66
  • Georganos, S., Vanhuysse, S., & A, Á. (2021). Kuffer M extracting urban deprivation indicators using superspectral very-high-resolution satellite imagery. In: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 11-16 July. 2021. pp 2114–2117. https://doi.org/10.1109/IGARSS47720.2021.9554849
  • Ghana Statistical Services. (2013). 2010 population and housing census regional analytical report - Greater Accra region.
  • Ghana Statistical Services. (2021). Ghana 2021 population and housing census: Population of regions and districts, Volume 3A. Ghana Statistical Services.
  • Global Facility for Disaster Reduction and Recovery. (2020). Final report: Open cities Africa - program of the GFDRR open data for resilience initiative.
  • Google. (2022) Street View: Sources of photography. Retrieved September 29, 2022 https://www.google.com/streetview/explore/.
  • Google. (2023) Street View: How it works. Google. Retrieved March 24, 2023. https://www.google.com/streetview/how-it-works/.
  • Gutberlet, J., Kain, J.-H., Nyakinya, B., Oloko, M., Zapata, P., & Zapata Campos, M. J. (2016). Bridging Weak Links of solid waste management in informal settlements the. Journal of Environment & Development, 26(1), 106–131. https://doi.org/10.1177/1070496516672263
  • Jakovljevic, G., Govedarica, M., & Alvarez-Taboada, F. (2020). A deep learning model for automatic plastic mapping using Unmanned Aerial Vehicle (UAV) data Remote Sensing 12. https://doi.org/10.3390/rs12091515
  • Jambeck, J. R., Geyer, R., Wilcox, C., Siegler, T. R., Perryman, M., Andrady, A., Narayan, R., & Law, K. L. (2015). Plastic waste inputs from land into the ocean Science. Science, 347(6223), 768–771. https://doi.org/10.1126/science.1260352
  • Kako, S., Morita, S., & Taneda, T. (2020). Estimation of plastic marine debris volumes on beaches using unmanned aerial vehicles and image processing based on deep learning. Marine Pollution Bulletin, 155, 111127. https://doi.org/10.1016/j.marpolbul.2020.111127
  • Karimi, N., Ng, K. T. W., & Richter, A. (2022). Development and application of an analytical framework for mapping probable illegal dumping sites using nighttime light imagery and various remote sensing indices. Waste Management, 143, 195–205. https://doi.org/10.1016/j.wasman.2022.02.031
  • Kaza, S., Yao, L., Bhada-Tata, P., & Van Woerden, F. (2018). What a waste 2.0: A global snapshot of solid waste management to 2050.
  • Kenya National Bureau of Statistics. (2010). The Kenya 2009 Population and Housing Census: Sex and administrative units Volume 1C. Kenya National Bureau of Statistics.
  • Kenya National Bureau of Statistics. (2019). 2019 population and housing census Vol. IV: Distribution of population by socio-economic characteristics. Kenya National Bureau for Statistics.
  • Kepper, M. M., Sothern, M. S., Theall, K. P., Griffiths, L. A., Scribner, R. A., Tseng, T.-S., Schaettle, P., Cwik, J. M., Felker-Kantor, E., & Broyles, S. T. (2017). A reliable, feasible method to observe neighborhoods at high spatial resolution. American Journal of Preventive Medicine, 52(1), S20–S30. https://doi.org/10.1016/j.amepre.2016.06.010
  • Keralis, J. M., Javanmardi, M., Khanna, S., Dwivedi, P., Huang, D., Tasdizen, T., & Nguyen, Q. C. (2020). Health and the built environment in United States cities: Measuring associations using Google Street View-derived indicators of the built environment BMC. BMC Public Health, 20(1), 215. https://doi.org/10.1186/s12889-020-8300-1
  • Kim, J., & Jang, K. M. (2023). An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small- and medium-sized cities: A people-based approach computers. Environment and Urban Systems, 102, 101956. https://doi.org/10.1016/j.compenvurbsys.2023.101956
  • Kumpel, E., Cock-Esteb, A., Duret, M., de Waal, D., & Khush, R. (2017). Seasonal variation in drinking and domestic water sources and quality in port harcourt. Nigeria the American Society of Tropical Medicine and Hygiene, 96(2), 437–445. https://doi.org/10.4269/ajtmh.16-0175
  • Lebreton, L., & Andrady, A. (2019). Future scenarios of global plastic waste generation and disposal. Palgrave Communications, 5(1), 6. https://doi.org/10.1057/s41599-018-0212-7
  • Less, E. L., McKee, P., Toomey, T., Nelson, T., Erickson, D., Xiong, S., & Jones-Webb, R. (2015). Matching study areas using Google Street View: A new application for an emerging technology. Evaluation and Program Planning, 53, 72–79. https://doi.org/10.1016/j.evalprogplan.2015.08.002
  • Li, Y., Chen, Y., Rajabifard, A., Khoshelham, K., & Aleksandrov, M. (2018). Estimating building age from Google Street View images using deep learning. Paper presented at the 10th International Conference on Geographic Information Science (GIScience), Melbourne, Australia (pp. 28–31).
  • Li, X., Zhang, C., Li, W., Ricard, R., Meng, Q., & Zhang, W. (2015). Assessing street-level urban greenery using Google Street View and a modified green view index. Urban Forestry & Urban Greening, 14(3), 675–685. https://doi.org/10.1016/j.ufug.2015.06.006
  • Lu, Y. (2019). Using Google Street View to investigate the association between street greenery and physical activity. Landscape and Urban Planning, 191, 103435. https://doi.org/10.1016/j.landurbplan.2018.08.029
  • Marah, M., & Novotny, T. E. (2011). Geographic patterns of cigarette butt waste in the urban environment. Tobacco Control, 20(Supplement 1), i42. https://doi.org/10.1136/tc.2010.042424
  • Marco, M., Gracia, E., Martín-Fernández, M., & López-Quílez, A. (2017). Validation of a Google Street View-based neighborhood disorder observational scale. Journal of Urban Health: Bulletin of the New York Academy of Medicine, 94(2), 190–198. https://doi.org/10.1007/s11524-017-0134-5
  • Mbiba, B. (2014). Urban solid waste characteristics and household appetite for separation at source in Eastern and Southern Africa. Habitat International, 43, 152–162. https://doi.org/10.1016/j.habitatint.2014.02.001
  • Miezah, K., Obiri-Danso, K., Kádár, Z., Fei-Baffoe, B., & Mensah, M. Y. (2015). Municipal solid waste characterization and quantification as a measure towards effective waste management in Ghana waste. Management, 46, 15–27. https://doi.org/10.1016/j.wasman.2015.09.009
  • Mooney, S. J., Bader, M. D. M., Lovasi, G. S., Neckerman, K. M., Teitler, J. O., & Rundle, A. G. (2014). Validity of an ecometric neighborhood physical disorder measure constructed by virtual street audit. American Journal of Epidemiology, 180(6), 626–635. https://doi.org/10.1093/aje/kwu180
  • Nagpure, A. S., Ramaswami, A., & Russell, A. (2015). Characterizing the spatial and temporal patterns of open burning of municipal solid waste (MSW) in Indian cities environmental Science &. Environmental Science & Technology, 49(21), 12904–12912. https://doi.org/10.1021/acs.est.5b03243
  • Odgers, C. L., Caspi, A., Bates, C. J., Sampson, R. J., & Moffitt, T. E. (2012). Systematic social observation of children’s neighborhoods using Google Street View: A reliable and cost-effective method. Journal of Child Psychology and Psychiatry, 53(10), 1009–1017. https://doi.org/10.1111/j.1469-7610.2012.02565.x
  • Okuku, E., Kiteresi, L., Owato, G., Otieno, K., Mwalugha, C., Mbuche, M., Gwada, B., Nelson, A., Chepkemboi, P., Achieng, Q., Wanjeri, V., Ndwiga, J., Mulupi, L., & Omire, J. (2021). The impacts of COVID-19 pandemic on marine litter pollution along the Kenyan coast: A synthesis after 100 days following the first reported case in Kenya marine. Pollution Bulletin, 162, 111840. https://doi.org/10.1016/j.marpolbul.2020.111840
  • Opfer, S., Arthur, C., & Lippiatt, S. (2012). NOAA marine debris shoreline survey field guide. National Oceanic and Atmospheric Administration.
  • Parrot, L., Sotamenou, J., & Dia, B. K. (2009). Municipal solid waste management in Africa: Strategies and livelihoods in Yaoundé, Cameroon. Cameroon Waste Management, 29(2), 986–995. https://doi.org/10.1016/j.wasman.2008.05.005
  • Reese, H., Alman, B., & Null, C. (2015). Disposing of children’s diapers with solid waste: A global concern? Waterlines, 34(3), 255–268. https://doi.org/10.3362/1756-3488.2015.024
  • Rundle, A. G., Bader, M. D. M., Richards, C. A., Neckerman, K. M., & Teitler, J. O. (2011). Using Google Street View to Audit neighborhood environments. Environments American Journal of Preventive Medicine, 40(1), 94–100. https://doi.org/10.1016/j.amepre.2010.09.034
  • Ryan, P. G., Maclean, K., & Weideman, E. A. (2020). The impact of the COVID-19. Lockdown on Urban Street Litter in South Africa Environmental Processes, 7(4), 1–10. https://doi.org/10.1007/s40710-020-00472-1
  • Rzotkiewicz, A., Pearson, A. L., Dougherty, B. V., Shortridge, A., & Wilson, N. (2018). Systematic review of the use of Google Street View in health research. Major Themes, Strengths, Weaknesses and Possibilities for Future Research Health & Place, 52, 240–246. https://doi.org/10.1016/j.healthplace.2018.07.001
  • Sibanda, L. K., Obange, N., & Awuor, F. O. (2017). Challenges of solid waste management in Kisumu. Kenya Urban Forum, 28(4), 387–402. https://doi.org/10.1007/s12132-017-9316-1
  • Smith, C. M., Kaufman, J. D., & Mooney, S. J. (2021). Google Street View image availability in the Bronx and San Diego, 2007–2020: Understanding potential biases in virtual audits of urban built environments. Health & Place, 72, 102701. https://doi.org/10.1016/j.healthplace.2021.102701
  • Snijders, T. A. B., & Bosker, R. J. (2011). Multilevel analysis: An introduction to basic and advanced multilevel modeling. sage.
  • Spennemann, D. H. R. (2021). COVID face masks: Policy shift results in increased littering. Sustainability, 13(17), 9875. https://doi.org/10.3390/su13179875
  • StataCorp. (2019). Stata Statistical Software (16 ed). StataCorp.
  • Stoler, J. (2012). Improved but unsustainable: Accounting for sachet water in post-2015 goals for global safe water. Tropical Medicine & International Health, 17(12), 1506–1508. https://doi.org/10.1111/j.1365-3156.2012.03099.x
  • SurveyCTO, Dobility Inc. (2021). SurveyCTO collect. Accessed 03 2023. https://www.surveycto.com/
  • Thomson, D. R., Linard, C., Vanhuysse, S., Steele, J. E., Shimoni, M., Siri, J., Caiaffa, W. T., Rosenberg, M., Wolff, E., Grippa, T., Georganos, S., & Elsey, H. (2019). Extending data for urban Health decision-making: A menu of new and potential neighborhood-level health determinants datasets in LMICs. Journal of Urban Health, 96(4), 514–536. https://doi.org/10.1007/s11524-019-00363-3
  • UN-Habitat. (2016). Slum almanac 2015-16 tracking improvement in the lives of slum dwellers.
  • UN-Habitat. (2020). Global state of metropolis 2020 - population data handbook. UN-Habitat.
  • Wardrop, N. A., Dzodzomenyo, M., Aryeetey, G., Hill, A. G., Bain, R. E. S., & Wright, J. (2017). Estimation of packaged water consumption and associated plastic waste production from household budget surveys environmental Research Letters 12. https://doi.org/10.1088/1748-9326/aa751f
  • Wekisa, E., & Majale, C. (2020). Spatial distribution of waste collection points and their implications on quality of life in Mombasa County. Kenya Journal of Urban Management, 9(2), 250–260. https://doi.org/10.1016/j.jum.2020.02.003
  • Yin, L., Cheng, Q., Wang, Z., & Shao, Z. (2015). ‘Big data’ for pedestrian volume: Exploring the use of Google Street View images for pedestrian counts. Applied Geography, 63, 337–345. https://doi.org/10.1016/j.apgeog.2015.07.010
  • Youme, O., Bayet, T., Dembele, J. M., & Cambier, C. (2021). Deep learning and Remote Sensing: Detection of dumping waste using UAV. Procedia computer science, 185, 361–369. https://doi.org/10.1016/j.procs.2021.05.037