Identification of Effective Criteria for Locating Parks and Urban Green Spaces in Iranian Articles by Meta-synthesis Method

Document Type : Research article

Authors

Department of Urban Planning and Design, Faculty of Art and Architecture, Shiraz University, Shiraz, Iran

10.22059/jurbangeo.2024.378839.1961

Abstract

ABSTRACT
The appropriate location of parks and urban green spaces has always been of great importance in urban planning and achieving sustainable urban development. This research uses the meta-synthesis method to identify and classify the criteria that are effective in the location of parks and urban green spaces in Iranian scientific research articles. The unit of analysis in this research includes Persian-language scientific research articles with domestic case studies, published in databases such as Noormags, Magiran, SID, ISC, the Comprehensive Humanities Portal, and Elmnet between 2008 and 2022. By searching the aforementioned databases, 93 articles were found, which were evaluated for their validity using the Critical Appraisal Skills Programme (CASP), ultimately reducing the number to 65 articles. The Sandelowski and Barroso seven-step method was used to analyze the selected articles. The results show that 81 criteria for the location of parks and urban green spaces have been used by Iranian researchers, which were condensed into 35 main criteria and classified into 6 components as accessibility and proximity to urban land uses, physical, environmental, social, economic, and legal. Among the identified criteria, the most significant ones include proximity to educational centers, accessibility to transportation networks, distance from existing green spaces, proximity to cultural-religious centers, proximity to residential areas, and population density. The findings of this research can serve as a suitable guide for researchers, planners, and managers in the field of locating parks and urban green spaces
Extended Abstract
Introduction
Urban parks and green spaces are among cities' most vital infrastructural elements, playing an indispensable role in enhancing the quality of life, promoting physical and mental health, providing recreational opportunities, and maintaining ecological balance. However, the proper location of urban parks and green spaces remains a significant challenge in urban planning. Inappropriate distribution of these spaces can lead to reduced accessibility, increased social inequalities, and inefficient use of urban resources. Selecting suitable locations for such spaces requires consideration of a comprehensive set of environmental, social, economic, and spatial-physical criteria. In recent years, several studies have been conducted on the location of parks and urban green spaces in Iran. However, these studies are often scattered and focused on specific aspects of the topic, with limited efforts toward presenting an integrated and comprehensive framework. Thus, there is a pressing need for research that employs systematic methods to integrate, synthesize, and analyze existing findings and propose a comprehensive and practical set of criteria. This study adopts the meta-synthesis method to identify and analyze the key criteria influencing the location of urban parks and green spaces in Iran. Its primary goal is to provide a comprehensive framework for planning and locating urban parks to guide planners and decision-makers in making informed and sustainable decisions. Moreover, it aims to pave the way for future studies in this domain.
 
Methodology
Given the objectives of the study, a qualitative research approach was employed using the meta-synthesis method, specifically based on Sandelowski and Barroso's seven-step model. A systematic search was conducted in domestic scientific databases, including the Scientific Information Database (SID), Islamic World Science Citation Database (ISC), NoorMags, Humanities Comprehensive Portal, Magiran, Civilica, and Elmnet. Relevant articles were identified using keywords such as "location," "site selection," "park," "urban park," "urban garden," and "urban green space." After screening the articles using the Critical Appraisal Skills Program (CASP) method, 65 articles out of 93 were selected for final analysis. Data from the selected articles were extracted through coding and categorization, and the main criteria for locating were classified into six dimensions. Ultimately, these criteria were synthesized and analyzed within a comprehensive framework to provide a foundation for more effective planning of the location of urban green space.
 
Results and discussion
The analysis of the selected articles identified 81 initial criteria influencing the location of urban parks, which were subsequently refined and merged into 35 core concepts through comparison and elimination of overlaps. The findings indicate that the criteria affecting the location of urban parks and green spaces in Iran can be categorized into six dimensions such as social, accessibility, and proximity to urban land uses (adjacency), environmental, physical, economic, and legal. The final results were calculated by calculating the frequency of citations for each criterion across the reviewed articles. Among the identified criteria, proximity to educational centers, accessibility to road networks, distance from existing green spaces, proximity to cultural-religious centers, distance from residential areas, and population density emerged as the most significant. Accessibility and proximity to urban land uses were identified as the most critical dimensions, followed by physical, environmental, social, economic, and legal dimensions. The findings suggest that the location of urban green spaces in Iran requires a multidimensional approach, considering the country's unique social, economic, and environmental conditions. Key criteria identified in the adjacency dimension include proximity to educational centers, existing green spaces, cultural-religious centers, and residential areas. In the social dimension, population density was highlighted as a significant criterion. Environmental criteria such as proximity to water bodies and topography were emphasized, while less attention was given to criteria like distance from pollution sources. In the physical dimension, accessibility to road networks and the availability of vacant land were deemed crucial. Economic considerations were limited to land prices, overlooking other factors like construction and maintenance costs, which could be significant in future studies. In the legal dimension, only land ownership status was considered. Overall, studies on the location of parks and urban green spaces in Iran have gained increasing importance over the past two decades, with approximately 90% of the research conducted in the last decade. This highlights the emerging nature of the concept within the country's urban planning system. However, most studies have primarily focused on physical aspects, while social and economic criteria have received less attention. Additionally, geographical analysis revealed that most research has concentrated on major metropolitan areas, particularly Tehran, leaving other regions underexplored. This indicates an imbalance in the geographical distribution of studies on this topic in Iran.
 
Conclusion
Urban parks and green spaces are fundamental urban infrastructures that enhance citizens' quality of life, mitigate the environmental impacts of urbanization, and promote social and cultural balance. The proper location of these spaces plays a pivotal role in ensuring efficiency, spatial equity, and accessibility. This study, using the meta-synthesis method, identified and categorized the key criteria for the location of urban parks in Iran into six dimensions: social, accessibility and proximity to urban land uses (adjacency), environmental, physical, economic, and legal. The most important criteria identified across these dimensions include proximity to educational centers, accessibility to road networks, distance from existing green spaces, proximity to cultural-religious centers, residential areas, and population density. The proposed framework can guide urban managers and planners in Iran to utilize comprehensive and evidence-based criteria for locating urban green spaces. This approach not only addresses citizens' needs but also ensures environmental and social sustainability in cities. Furthermore, the findings of this research can pave the way for future studies, particularly those focused on developing operational models for urban green space planning and locating in Iran. To complement this study, exploring the weighting of locating criteria using meta-analysis and combining domestic and international research is recommended.
 
Funding
There is no funding support.
 
Authors’ Contribution
Authors contributed equally to the conceptualization and writing of the article. All of the authors approved the content of the manuscript and agreed on all aspects of the work declaration of competing interest none.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
 We are grateful to all the scientific consultants of this paper.

Keywords


  1. Abbasi Shavazi, M. (2010). An Analysis on Spatial Distribution and Site Selection of Green Space in Yazd with GIS (Case Study: Inter-City Parks). Master's thesis in Geography and Urban Planning, supervised by Jamal Mohammadi, Faculty of Literature and Humanities, Department of Geography, University of Isfahan. [in Persian]
  2. Abebe, M. T., & Megento, T. L. (2017). Urban green space development using GIS-based multi-criteria analysis in Addis Ababa metropolis. Applied Geomatics, 4(9), 247–261. https://doi.org/10.1007/S12518-017-0198-7
  3. Abedijafari, A., & Amiri, M. (2019). Meta-Synthesis as a Method for Synthesizing Qualitative Researches. Methodology of Social Sciences and Humanities, 25(99), 73-87. doi: 10.30471/mssh.2019.1629. [in Persian]
  4. Ahani, S., & Dadashpoor, H. (2021). Land conflict management measures in peri-urban areas: A meta-synthesis review. Journal of Environmental Planning and Management, 64, 1–30. https://doi.org/10.1080/09640568.2020.1852916
  5. Askary, F., & Dehghani, M. (2023). Identifying the factors affecting the flipped teaching method in the higher education system based on the metasynthesis approach. Journal of Curriculum Research, 12(2), 1-27. [in Persian]
  6. Bahadoran, Z., Mirmiran, P., Kashfi, K., & Ghasemi, A. (2020). Importance of Systematic Reviews and Meta-analyses of Animal Studies: Challenges for Animal-to-Human Translation. Journal of the American Association for Laboratory Animal Science : JAALAS, 59(5), 469–477. https://doi.org/10.30802/AALAS-JAALAS-19-000139
  7. Baroughi, F. (2004). Urban green space use from plan to reality. Municipalities, 5(60). [in Persian]
  8. Bazzi, K., Khosravi, S., & Hossein Nejad, M. (2011) Investigating the current situation and locating the required green space in Zabul using GIS. Journal of Spatial Planning (Geography), 1(4), 39-74. [in Persian]
  9. Cantante, F. (2020). Four profiles of inequality and tax redistribution in Europe. Humanities and Social Sciences Communications, 7(1). https://doi.org/10.1057/s41599-020-0514-4
  10. Cao, L., Sun, Y., Beckmann-Wübbelt, A., & Saha, S. (2023). Characteristics of urban park recreation and health during early COVID-19 by on-site survey in Beijing. Npj Urban Sustainability,  3(1), 1–11. https://doi.org/10.1038/s42949-023-00110-3
  11. Carmo, R. M. (2021). Social inequalities: theories, concepts and problematics. SN Social Sciences, 1(5). https://doi.org/10.1007/s43545-021-00134-5
  12. Dai, D. (2011). Racial/ethnic and socioeconomic disparities in urban green space accessibility: Where to intervene? Landscape and Urban Planning, 102(4), 234–244. https://doi.org/10.1016/J.LANDURBPLAN.2011.05.002
  13. Esashika, D., Masiero, G., & Mauger, Y. (2021). An investigation into the elusive concept of smart cities: A systematic review and meta-synthesis. Technology Analysis & Strategic Management, 33(8), 957–969. https://doi.org/10.1080/09537325.2020.1856804
  14. Felappi, J. F., Sommer, J. H., Falkenberg, T., Terlau, W., & Kötter, T. (2024). Urban park qualities driving visitors mental well-being and wildlife conservation in a Neotropical megacity. Scientific Reports, 14(1), 1–16. https://doi.org/10.1038/s41598-024-55357-2
  15. Gelan, E. (2021). GIS-based multi‐criteria analysis for sustainable urban green spaces planning in emerging towns of Ethiopia: the case of Sululta town. Environmental Systems Research, 10(1), 1–14. https://doi.org/10.1186/S40068-021-00220-W/TABLES/6
  16. Gong, F. Y. (2023). Modeling walking accessibility to urban parks using Google Maps crowdsourcing database in the high-density urban environments of Hong Kong. Scientific Reports, 13(1), 1–15. https://doi.org/10.1038/s41598-023-48340-w
  17. Guo, Y., Cao, Y., Li, Y., Wang, R., & Fang, Y. (2024). Establishment of an equity evaluation method for urban parkland layout under the process-outcome perspective. Humanities and Social Sciences Communications, 11(1), 1–18. https://doi.org/10.1057/s41599-024-03110-5
  18. Haaland, C., & van den Bosch, C. K. (2015). Challenges and strategies for urban green-space planning in cities undergoing densification: A review. Urban Forestry & Urban Greening, 14(4), 760–771. https://doi.org/10.1016/J.UFUG.2015.07.009
  19. Halecki, W., Stachura, T., Fudała, W., Stec, A., & Kuboń, S. (2023). Assessment and planning of green spaces in urban parks: A review. Sustainable Cities and Society, 88, 104280. https://doi.org/10.1016/j.scs.2022.104280
  20. Huang, Y., Yu, P., & Xie, P. (2023). Analysis and Optimized Location Selection of Comprehensive Green Space Supply in the Central Urban Area of Hefei Based on GIS. Buildings13(11), 2731. https://doi.org/10.3390/buildings13112731
  21. Imani, B., Firouzi Mejandeh, E., & Kanooni, R. (2017). Spatial distribution of green spaces and Prioritization of land Suitability for optimal Site Selection of Park (Case Study: Ardebil City). Environmental Based Territorial Planning, 37(10), 65-98. [in Persian]
  22. Ji, S., Ma, R., Ren, L., & Wang, C. (2020). How to Find Vacant Green Space in the Process of Urban Park Planning: Case Study in Ningbo (China). International Journal of Environmental Research and Public Health, 17(21), 1–18. https://doi.org/10.3390/IJERPH17218282
  23. Kabisch, N., & Haase, D. (2013). Green spaces of European cities revisited for 1990–2006. Landscape and Urban Planning, 110(1), 113–122. https://doi.org/10.1016/J.LANDURBPLAN.2012.10.017
  24. Li, C., Zhang, T., Wang, X., & Lian, Z. (2022). Site Selection of Urban Parks Based on Fuzzy-Analytic Hierarchy Process (F-AHP): A Case Study of Nanjing, China. International Journal of Environmental Research and Public Health,  19(20), 13-59. https://doi.org/10.3390/IJERPH192013159
  25. Mohammadi, J., Zarabi, A., & Ahmadian, M. (2013). Spatial prioritization of the development of green spaces and urban parks using the AHP method (case example: Miandoab city), New attitudes in human geography, 4(2), 41-62. [in Persian]
  26. Mohammadi Aydoghmish, F., & Rafieian, M. (2022). Developing a comprehensive conceptual framework for city branding based on urban planning theory: Meta-synthesis of the literature (1990–2020). Cities, 128, 103731. https://doi.org/10.1016/j.cities.2022.103731
  27. Mwangi, M. W. (2019). An Assessment to The Challenges Facing Urban Green Spaces a Case of City Park in Nairobi. International Journal of Scientific and Research Publications (IJSRP), 9(7), 9121. https://doi.org/10.29322/ijsrp.9.07.2019.p9121
  28. Nabilla Rasli, F., Devi Kanniah, K., & Muthuveerappan, C. (2017). An integrated approach of analytical hierarchy process and GIS for site selection of urban parks in Iskandar Malaysia. International Journal of Geoinformatics12(2).
  29. Neema, M. N., & Ohgai, A. (2010). Multi-objective location modeling of urban parks and open spaces: continuous optimization. Computers, Environment and Urban Systems, 34(5), 359-376. https://doi.org/10.1016/j.compenvurbsys.2010.03.001
  30. Pouya, S., & Aghlmand, M. (2022). Evaluation of urban green space per capita with new remote sensing and geographic information system techniques and the importance of urban green space during the COVID-19 pandemic. Environmental Monitoring and Assessment, 194(9), 1–19. https://doi.org/10.1007/S10661-022-10298-Z/METRICS
  31. Rigolon, A. (2016). A complex landscape of inequity in access to urban parks: A literature review. Landscape and Urban Planning, 153, 160–169. https://doi.org/10.1016/j.landurbplan.2016.05.017
  32. Saeednia, A. (2000). Urban Green Space. Municipal Green Book, Center for Urban Studies and Planning, Ministry of Interior, Volume 9. [in Persian]
  33. Sandelowski, M., & Barroso, J. (2007). Handbook for synthesizing qualitative research. New York: Springer. ISBN:9780826156952
  34. Tang, X., Zou, C., Shu, C., Zhang, M., & Feng, H. (2024). Research on Site Selection Planning of Urban Parks Based on POI and Machine Learning—Taking Guangzhou City as an Example. Land, 13(9), 1362. https://doi.org/10.3390/land13091362
  35. Teimoory, R., Roostaei, S., Akbari Zamani, A., & Ahadnejad, M. (2010). The Evaluation of Spatio-temporal Suitability of Urban Parks Using GIS A Case Study of Area No.2 Neighborhood Parks of Tabriz Municipality. Geographic Space, 10(30), 137-168. [in Persian]
  36. Yu, L., Zhao, P., Tang, J., Pang, L., & Gong, Z. (2023). Social inequality of urban park use during the COVID-19 pandemic. Humanities and Social Sciences Communications, 10(1), 1–11. https://doi.org/10.1057/s41599-023-01918-1
  37. Yuzhen, Z., Jie, W., Yang, C., & Jianping, Y. (2021). An assessment of urban parks distribution from multiple dimensions at the community level: A case study of Beijing. Environmental Impact Assessment Review, 91, 106663. https://doi.org/10.1016/J.EIAR.2021.106663
  38. Zhang, J., Zhang, H., & Qi, R. (2024). A study of size threshold for cooling effect in urban parks and their cooling accessibility and equity. Scientific Reports, 14(1), 1–17. https://doi.org/10.1038/s41598-024-67277-2
  39. Zhao, H., Mailloux, B. J., Cook, E. M., & Culligan, P. J. (2023). Change of urban park usage as a response to the COVID-19 global pandemic. Scientific Reports, 13(1), 1–11. https://doi.org/10.1038/s41598-023-46745-1
  40. Zhao, Y., & Gong, P. (2024). Optimal site selection strategies for urban parks green spaces under the joint perspective of spatial equity and social equity. Frontiers in Public Health, 12, 1310340. https://doi.org/10.3389/FPUBH.2024.1310340/BIBTEX
  41. Zhu, Z., Li, J., & Chen, Z. (2023). Green space equity: Spatial distribution of urban green spaces and correlation with urbanization in Xiamen, China. Environment, Development and Sustainability, 25(1), 423–443. https://doi.org/10.1007/s10668-021-02061-0
  42. Zou, N., Mi, X., Xiao, Y., Li, Y., & Hu, N. (2024). Assessing urban park equity in Chaoyang District, Beijing using online review data. Scientific Reports, 14(1), 1–15. https://doi.org/10.1038/s41598-024-51239-9.