ANALYZING LAND USE DIVERSITY AROUND ADDIS ABABA LIGHT RAIL TRANSIT STATIONS: INTEGRATING AHP AND GIS
DOI:
https://doi.org/10.2298/IJGI250326018TKeywords:
Addis Ababa transit stations, GIS based land use analysis, spatial planning, Transit Oriented Development, urban land use diversityAbstract
Land use diversity is the main prerequisite for sustainable urban development models such as Transit Oriented Development (TOD). Understanding the existing land use composition is essential when planning to implement TOD. This study assesses the level of land use diversity within an 800 m radius of four stations along the Addis Ababa Light Rail Transit (LRT), located in the central Business District (CBD). The methodology integrates the Analytic Hierarchy Process (AHP) with the Geographical Information System (GIS) using the Weighted Overlay Analysis tool. This method assigns relative weights to key land-use diversity indicators using the AHP method. The weighted layers are overlaid in GIS to generate composite land use diversity represented by three different colors (green, yellow, and red representing high, moderate, and low diversity, respectively) on a spatial map. The results of the analysis revealed that 68.18% of the study area exhibits a moderate level of land use diversity, followed by 18.91% high and 12.91% low levels. Spatial analysis also revealed the ratio of diversity variance among the four stations, indicating Autobus Tera station has the highest level of diversity among the others. The results offer a clear visual representation of diversity levels and provide valuable input for planners and decision-makers seeking to promote more diversified land use to enhance an integrated, transit-supportive urban form. This research demonstrates the effectiveness of integrating AHP-GIS as a decision-support tool for assessing land use diversity and guiding strategic interventions to improve.
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References
Abdullahi, S., Pradhan, B., Mansor, S., & Shariff, A. R. M. (2015). GIS-based modeling for the spatial measurement and evaluation of mixed land use development for a compact city. GIScience and Remote Sensing, 52(1), 18–39. https://doi.org/10.1080/15481603.2014.993854
Aburas, M. M., Abdullah, S. H., Ramli, M. F., & Ash’aari, Zu. H. (2015). A Review of Land Suitability Analysis for Urban Growth by using the GIS-Based Analytic Hierarchy Process. Asian Journal of Applied Sciences, 3(6), 2321–0893. https://www.ajouronline.com/index.php/AJAS/article/view/3480
Appleyard, B., & Frost, A. R. (2019). Livability as a framework for understanding and guiding transportation and land use integration. In E. Deakin (Ed.), Transportation, Land Use, and Environmental Planning (pp. 151–167). Elsevier Inc. https://doi.org/10.1016/B978-0-12-815167-9.00008-6
Berawi, M. A., Saroji, G., Iskandar, F. A., Ibrahim, B. E., Miraj, P., & Sari, M. (2020). Optimizing Land Use Allocation of Transit-Oriented Development (TOD) to Generate Maximum Ridership. Sustainability, 12(9), Article 3798. https://doi.org/10.3390/su12093798
Brown, B. B., Yamada, I., Smith, K. R., Zick, C. D., Kowaleski-Jones, L., & Fan, J. X. (2009). Mixed land use and walkability: Variations in land use measures and relationships with BMI, overweight, and obesity. Health & Place, 15(4), 1130–1141. https://doi.org/10.1016/j.healthplace.2009.06.008
Cervero, R. (1988). Land-Use Mixing and Suburban Mobility. Transportation Quarterly, 42(3), 429–446. https://escholarship.org/uc/item/9w56k7x8
Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199–219. https://doi.org/10.1016/S1361-9209(97)00009-6
Cervero, R., & Duncan, C. (2003). Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area. American Journal of Public Health, 93(9), 1478–1483. https://doi.org/10.2105/AJPH.93.9.1478
Creutzig, F., Baiocchi, G., Bierkandt, R., Pichler, P. P., & Seto, K. C. (2015). Global typology of urban energy use and potentials for an urbanization mitigation wedge. Proceedings of the National Academy of Sciences of the United States of America, 112(20), 6283–6288. https://doi.org/10.1073/pnas.1315545112
Ewing, R., & Cervero, R. (2010). Travel and the Built Environment. Journal of the American Planning Association, 76(3), 265–294. https://doi.org/10.1080/01944361003766766
Ford, A. C., Barr, S. L., Dawson, R. J., & James, P. (2015). Transport Accessibility Analysis Using GIS: Assessing Sustainable Transport in London. ISPRS International Journal of Geo-Information, 4(1), 124–149. https://doi.org/10.3390/ijgi4010124
Frank, L. D., Sallis, J. F., Conway, T. L., Chapman, J. E., Saelens, B. E., & Bachman, W. (2006). Many Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality. Journal of the American Planning Association, 72(1), 75–87. https://doi.org/10.1080/01944360608976725
Ghosh, P. A., & Raval, P. M. (2016). Modelling urban mixed land-use prediction using influence parameters. Geoscape, 15(1), 66–78. https://doi.org/10.2478/geosc-2021-0006
Hajrasouliha, A., & Yin, L. (2015). The impact of street network connectivity on pedestrian volume. Urban Studies, 52(13), 2483–2497. https://doi.org/10.1177/0042098014544763
Hess, M. P., Vernez Moudon, A., & Logsdon, M. G. (2001). Measuring Land Use Patterns for Transportation Research. Transportation Research Record: Journal of the Transportation Research Board, 1780(1), 17–24. https://doi.org/10.3141/1780-03
Im, H. N., & Choi, C. G. (2018). The hidden side of the entropy-based land-use mix index: Clarifying the relationship between pedestrian volume and land-use mix. Urban Studies, 56(9), 1865–1881. https://doi.org/10.1177/0042098018763319
Jabareen, Y. R. (2006). Sustainable Urban Forms: Their Typologies, Models, and Concepts: Their Typologies, Models, and Concepts. Journal of Planning Education and Research, 26(1), 38–52. https://doi.org/10.1177/0739456X05285119
Jacobs, J. (1961). The Death and Life of Great American Cities. Vintage Books.
Jinollo, G. T., Workalemahu, L., & Adugna, D. (2024). Spatial distribution of Urban land-use in Addis Ababa, Ethiopia. Urban, Planning and Transport Research, 12(1), Article 2307364. https://doi.org/10.1080/21650020.2024.2307364
Liberatore, M. J. (1982). Book Review of the Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation by Thomas L. Saaty. American Journal of Mathematical and Management Sciences, 2(2), 165–172. https://doi.org/10.1080/01966324.1982.10737095
Manaugh, K., Kreider, T., & Kreider, T. (2013). What is mixed use ? Presenting an interaction method for measuring land use mix. Journal of Transport and Land Use, 6(1), 63–72. https://doi.org/10.5198/jtlu.v6i1.291
Mashhoodi, B., & Berghauser Pont, M. (2011). Studying land-use distribution and mixed-use patterns in relation to density, accessibility and urban form. In 18th International Seminar on Urban Form (pp. 1–19). ISUF.
Nyimbili, P. H., & Erden, T. (2020). A Hybrid Approach Integrating Entropy-AHP and GIS for Suitability Assessment of Urban Emergency Facilities. ISPRS International Journal of Geo-Information, 9(7), Article 419. https://doi.org/10.3390/ijgi9070419
Population of Ethiopia. (2025). World Population Review. https://worldpopulationreview.com/cities/ethiopia/addis-ababa
Randall, T. A., & Baetz, B. W. (2015). A GIS-based land-use diversity index model to measure the degree of suburban sprawl. Area, 47(4), 360–375. https://doi.org/10.1111/area.12182
Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. McGraw.
Song, Y., de Jong, M., & Stead, D. (2021). Bypassing institutional barriers: New types of transit-oriented development in China Bypassing institutional barriers: New types of transit-oriented development in China. Cities, 113, Article 103177. https://doi.org/10.1016/j.cities.2021.103177
Song, Y., & Knaap, G-J. (2004). Measuring Urban Form: Is Portland Winning the War on Sprawl?. Journal of the American Planning Association, 70(2), 210–225. https://doi.org/10.1080/01944360408976371
Song, Y., Merlin, L., & Rodriguez, D. (2013). Comparing measures of urban land use mix. Computers, Environment and Urban Systems, 42, 1–13. https://doi.org/10.1016/j.compenvurbsys.2013.08.001
Sung, H., Choi, K., Lee, S., & Cheon, S. (2014). Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership. Journal of Transport оf Geography, 36, 134–140. https://doi.org/10.1016/j.jtrangeo.2014.03.013
Teklemariam, E. A., & Shen, Z. (2020). Determining transit nodes for potential transit-oriented development: Along the LRT corridor in Addis Ababa, Ethiopia. Frontiers of Architectural Research, 9(3), 606–622. https://doi.org/10.1016/j.foar.2020.03.005
Tekolla, A. W, Segni Tulu, G., & Gebre Tarekegn, A. (2021). Evaluating the Impact of Addis Ababa Light Rail Transit on Public Transit System, Its Efficiency and Eligibility for Transit Oriented Development (TOD). American Journal of Traffic and Transportation Engineering, 6(6), 160–168. https://doi.org/10.11648/j.ajtte.20210606.13
Tekolla, A. W., Tarekegn, A. G., & Tulu, G. S. (2024). Measuring the walkability of areas around Addis Ababa LRT stations by integrating Analytic Hierarchal Process (AHP) and GIS. TeMA Journal of Land Use, Mobility and Environment, 17(3), 423–438. https://doi.org/10.6093/1970-9870/11025
Topcu, M., & Kubat, A. S. (2009). The Analysis of Urban Features that Affect Land Values in Residential Areas. In D. Koch, L. Marcus, & J. Steen (Eds.), Proceedings of the 7th International Space Syntax Symposium (pp. 026:1–026:9). KTH. https://www.researchgate.net/publication/228468263
Yallew, W. W., Fasil, N., Abdelmenan, S., Berhane, H. Y., Tsegaye, S., Wang, D., Fawzi, W., Demissie, M., Worku, A., & Birhane, Y. (2024). Household Sanitation and Crowding Status in Addis Health and Demographic Surveillance System (Addis-HDSS) in Addis Ababa, Ethiopia. Ethiopian Journal of Health Sciences, 34(2), 84–90. https://doi.org/10.4314/ejhs.v34i2.3S
Zagorskas, J. (2016). GIS-based Modelling and Estimation of Land Use Mix in Urban Environment. International Journal of Environmental Science, 1, 284–293. https://www.iaras.org/journals/caijes/gis-based-modelling-and-estimation-of-land-use-mix-in-urban-environment
Zhang, M., & Zhao, P. (2017). The impact of land-use mix on residents’ travel energy consumption: New evidence from Beijing. Transportation Research Part D: Transport and Environment, 57, 224–236. https://doi.org/10.1016/j.trd.2017.09.020
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