The Conundrum of the Modified Areal Unit Problem (MAUP) for Urban Decision-Making Across Scales: A Critical Reflection
References
- Anthony, B. (2023). The role of community engagement in urban innovation towards the Co-Creation of smart Sustainable Cities. Journal of the Knowledge Economy, doi: 10.1007/s13132-023-01176-1
- Bajracharya, P., & Sultana, S. (2020). Rank-size distribution of cities and municipalities in Bangladesh. Sustainability, doi: 10.3390/su12114643
- Bhandari, S., & Zhang, C. (2022). Urban green space prioritization to mitigate air pollution and the urban heat island effect in Kathmandu Metropolitan City, Nepal. Land, doi: 10.3390/land11112074
- Bryant, J., & Delamater, P. L. (2019). Examination of spatial accessibility at micro- and macro-levels using the enhanced two-step floating catchment area (E2SFCA) method. Annals of GIS, doi: 10.1080/19475683.2019.1641553
- Cabrera-Barona, P., Wei, C., & Hagenlocher, M. (2016). Multiscale evaluation of an urban deprivation index: Implications for quality of life and healthcare accessibility planning. Applied Geography, doi: 10.1016/j.apgeog.2016.02.009
- Chen, X., Ye, X., Widener, M. J., Delmelle, E., Kwan, M.-P., Shannon, J., Racine, E. F., Adams, A., Liang, L., & Jia, P. (2022). A systematic review of the modifiable areal unit problem (MAUP) in community food environmental research. Urban Informatics, 1(1), 22.
- Cheung, K., Sham, C., & Yiu, C. (2024). Disentangling the modifiable areal unit problem in housing density and price associations. Buildings, doi: 10.3390/buildings14061840
- Comber, A., & Harris, P. (2022). The importance of scale and the MAUP for robust ecosystem service evaluations and landscape decisions. Land, 11(3), 399.
- Deng, H., Liu, K., & Feng, J. (2024). Understanding the impact of modifiable areal unit problem on urban vitality and its built environment factors. Geo-spatial Information Science, doi: 10.1080/10095020.2024.2336593
- De Roo, G., Yamu, C., & Zuidema, C. (Eds.). (2020). Handbook on planning and complexity. Edward Elgar Publishing.
- European Network for Rural Development (2025). Ex-post evaluation. Retrieved from: https://ec.europa.eu/enrd/evaluation/ex-post-evaluation_en.html, Accessed on: 19 February 2025.
- Feng, Q., & Gauthier, P. (2021). Untangling Urban Sprawl and Climate Change: A Review of the Literature on Physical Planning and Transportation Drivers. Atmosphere, doi: 10.3390/atmos12050547
- Fernández, I. C., & Wu, J. (2016). Assessing environmental inequalities in the city of Santiago (Chile) with a hierarchical multiscale approach. Applied Geography, doi: 10.1016/j.apgeog.2016.07.012
- Fotheringham, A. S., & Sachdeva, M. (2022). On the importance of thinking locally for statistics and society. Spatial Statistics, doi: 10.1016/j.spasta.2022.100601
- Gupta, J., Long, A., Xu, C. K., Tang, T., & Shekhar, S. (2021). Spatial Dimensions of Algorithmic Transparency: A Summary. EPJ Data Science, doi: 10.1145/3469830.3470898
- Hazell, E. C. (2020). Disaggregating Ecosystem Benefits: An Integrated Environmental-Deprivation Index. Sustainability, doi: 10.3390/su12187589
- Hidayati, I., Yamu, C., & Tan, W. (2019) The emergence of mobility inequality in greater Jakarta Indonesia: A socio-spatial analysis of path dependencies in transport–land use policies. Sustainability, 11(18),5115
- Hidayati I., Yamu C., & Tan W. (2021) You have to drive: Impacts of planning policies on urban form and mobility behavior in Kuala Lumpur. Malaysia Journal of Urban Management, 10(1),69-83
- Huff, D. (1954). How to Lie with Statistics, Norton, New York, ISBN 0-393-31072-8
- Hwang, C. S., Hong, S., Hwang, T., & Yang, B. (2020). Strengthening the statistical summaries of economic output areas for urban planning support systems. Sustainability, doi: 10.3390/su12145640
- Issacharoff, S. (2002). Gerrymandering and political cartels. Harv. L. Rev., 116, 593.
- Javanmard, R., Lee, J., Kim, J., Liu, L., & Diab, E. (2023). The impacts of the modifiable areal unit problem (MAUP) on social equity analysis of public transit reliability. Journal of Transport Geography, doi: 10.1016/j.jtrangeo.2022.103500
- Jiang, M., Wu, Y., Chang, Z., & Shi, K. (2021). The effects of urban forms on the PM2.5 concentration in China: A hierarchical multiscale analysis. International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph18073785
- Jones, K., Manley, D., Johnston, R., & Owen, D. (2018). Modelling residential segregation as unevenness and clustering: A multi-level modelling approach incorporating spatial dependence and tackling the MAUP. Environment and Planning B: Urban Analytics and City Science, 45(6), 1122-1141.
- Jones, J., Peeters, D., & Thomas, I. (2017). Scale effect in a LUTI model of Brussels: challenges for policy evaluation. European Journal of Transport and Infrastructure Research, doi: 10.18757/ejtir.2017.17.1.3182
- Kon, F., Ferreira, É. C., De Souza, H. A., Duarte, F., Santi, P., & Ratti, C. (2021). Abstracting mobility flows from bike-sharing systems. Public Transport, doi: 10.1007/s12469-020-00259-5
- Labib, S. (2019). Investigation of the likelihood of green infrastructure (GI) enhancement along linear waterways or on derelict sites (DS) using machine learning. Environmental Modelling & Software, doi: 10.1016/j.envsoft.2019.05.006
- Lambio, C., Schmitz, T., Elson, R., Butler, J., Roth, A., Feller, S., Savaskan, N., & Lakes, T. (2023). Exploring the spatial relative risk of COVID-19 in Berlin-Neukölln. International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph20105830
- Li, J., & Li, C. (2024). Characterizing urban spatial structure through built form typologies: A new framework using clustering ensembles. Land Use Policy, doi: 10.1016/j.landusepol.2024.107166
- Lloyd, C. D., Bhatti, S., McLennan, D., Noble, M., & Mans, G. (2021). Neighbourhood change and spatial inequalities in Cape Town. Geographical Journal, doi: 10.1111/geoj.12400
- Ma, J., Shen, Z., Xie, Y., Liang, P., Yu, B., & Chen, L. (2022). Node-place model extended by system support: Evaluation and classification of metro station areas in Tianfu new area of Chengdu. Frontiers in Environmental Science, doi: 10.3389/fenvs.2022.990416
- Meister, M., & Niebuhr, A. (2021). Comparing ethnic segregation across cities— measurement issues matter. Review of Regional Research, 41(1), 33-54.
- Nelson, J. K., & Brewer, C. A. (2017). Evaluating data stability in aggregation structures across spatial scales: revisiting the modifiable areal unit problem. Cartography and Geographic Information Science, 44(1), 35-50.
- Neto-Bradley, A. P., Choudhary, R., & Challenor, P. (2022). A microsimulation of spatial inequality in energy access: A bayesian multi-level modelling approach for urban India. Environment and Planning B Urban Analytics and City Science, doi: 10.1177/23998083211073140
- Openshaw, S. (1983). The modifiable areal unit problem. CATMOG (Concepts & Techniques in Modern Geography), 38
- Östh, J., Clark, W. A., & Malmberg, B. (2015). Measuring the scale of segregation using k‐nearest neighbor aggregates. Geographical analysis, 47(1), 34-49.
- Östh, J., et al. (forthcoming). Second UR-Data edited volume. Springer.
- Prasetyani, D., Destiningsih, R., & Rosalia, A. C. T. (2023). Community-Based Empowerment: Semi-Systematic Literature Review (SSLR). Optimum Jurnal Ekonomi Dan Pembangunan, doi: 10.12928/optimum.v12i2.6541
- Ross, K. (2004). A Mathematician at the Ballpark: Odds and Probabilities for Baseball Fans (Paperback). Pi Press, 2004. ISBN 0-13-147990-3
- Simons, G. (2022). The cityseer Python package for pedestrian-scale network-based urban analysis. Environment and Planning B Urban Analytics and City Science, doi: 10.1177/23998083221133827
- UNCTAD (2016). Trade and Development Report 2016. Retrieved from: https://unctad.org/publication/trade-and-development-report-2016, Accessed on: 19 February 2025.
- Vickrey, W. (1961). On the prevention of Gerrymandering. Political Science Quarterly, 76(1), 105-110.
- Wagner, C. H. (1982). Simpson’s paradox in real life. The American Statistician, doi: 10.2307/2684093
- Wang, H., Zhang, H., Zhu, H., Zhao, F., Jiang, S., Tang, G., & Xiong, L. (2023). A multivariate hierarchical regionalization method to discovering spatiotemporal patterns. GIScience & Remote Sensing, doi: 10.1080/15481603.2023.2176704
- Wang, S., Cai, W., Sun, Q., Martin, C., Tewari, S., Hurley, J., Amati, M., Duckham, M., & Choy, S. (2023). Landscape of multiculturalism in Australia: Tracking ethnic diversity and its relation with neighbourhood features in 2001–2021. Applied Geography, doi: 10.1016/j.apgeog.2023.103114
- Wang, Z., Gong, X., Zhang, Y., Liu, S., & Chen, N. (2023). Multi-Scale geographically weighted elasticity regression model to explore the elastic effects of the built environment on Ride-Hailing ridership. Sustainability, doi: 10.3390/su15064966
- Wang, Z., Liu, S., Lian, H., & Chen, X. (2024). Investigating the nonlinear effect of land use and built environment on public transportation choice using a machine learning approach. Land, doi: 10.3390/land13081302
- Wolf, L. J., Fox, S., Harris, R., Johnston, R., Jones, K., Manley, D., Tranos, E., & Wang, W. W. (2020). Quantitative geography III: Future challenges and challenging futures. Progress in Human Geography, doi: 10.1177/0309132520924722
- Wong, D. W., Lasus, H., & Falk, R. F. (1999). Exploring the variability of segregation index D with scale and zonal systems: an analysis of thirty US cities. Environment and Planning A, 31(3), 507-522.
- Wong, D. W. (2003). Spatial decomposition of segregation indices: A framework toward measuring segregation at multiple levels. Geographical Analysis, 35(3), 179-194.
- Wong, D. W. (2009). Modifiable Areal Unit Problem. In International Encyclopedia of Human Geography, doi: 10.1016/B978-008044910-4.00475-2
- Xu, Q., Zheng, X., & Zhang, C. (2018). Quantitative analysis of the determinants influencing urban expansion: a case study in Beijing, China. Sustainability, doi: 10.3390/su10051630
- Yang, Y., Wu, Y., & Yuan, M. (2024). What local environments drive opportunities for social events? A new approach based on Bayesian modeling in Dallas, Texas, USA. ISPRS International Journal of Geo-Information, doi: 10.3390/ijgi13030081
- Zhang, H., Nijhuis, S., & Newton, C. (2023). Advanced digital methods for analysing and optimising accessibility and visibility of water for designing sustainable healthy urban environments. Sustainable Cities and Society, doi: 10.1016/j.scs.2023.104804
- Zhang, Y., Mavoa, S., Zhao, J., Raphael, D., & Smith, M. (2020). The Association between Green Space and Adolescents’ Mental Well-Being: A Systematic Review. International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph17186640
- Zhou, X., Sun, C., Niu, X., & Shi, C. (2021). The modifiable areal unit problem in the relationship between jobs–housing balance and commuting distance through big and traditional data. Travel Behaviour and Society, doi: 10.1016/j.tbs.2021.11.001
Language: English
Page range: 23 - 43
Submitted on: Mar 5, 2025
Accepted on: Mar 28, 2025
Published on: Aug 6, 2025
Published by: University of Niš, Faculty of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2025 Marta Hustava Sipulova, Claudia van der Laag Yamu, John Östh, published by University of Niš, Faculty of Economics
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