Multi-criteria spatial assessment of urban open spaces for promoting physical activity and spatial justice: a case study of Tehran metropolitan

  • Boakye, K. et al. Urbanization and physical activity in the global Prospective Urban and Rural Epidemiology study. Sci. Rep. 13, 290, (2023).

  • Moreno-Llamas, A. & García-Mayor, J. De La Cruz-Sánchez, Urban-rural differences in trajectories of physical activity in Europe from 2002 to 2017. Health Place. 69, 102570 (2021).

    Google Scholar 

  • Reis, J. P. et al. Nonoccupational physical activity by degree of urbanization and US geographic region. Med. Sci. Sports. Exerc. 36, 2093–2098 (2004).

    Google Scholar 

  • Assah, F. K., Ekelund, U., Brage, S., Mbanya, J. C. & Wareham, N. J. Urbanization, physical activity, and metabolic health in sub-Saharan Africa. Diabetes Care. 34, 491–496 (2011).

    Google Scholar 

  • United Nations. Revision of World Urbanization Prospects. https://www.un.org/en/desa/2018-revision-world-urbanization-prospects. (2018).

  • Wicks, C., Barton, J., Orbell, S. & Andrews, L. Psychological benefits of outdoor physical activity in natural versus urban environments: A systematic review and meta-analysis of experimental studies. Appl. Psychology: Health Well-Being. 14, 1037–1061 (2022).

  • Bull, F. C. & Bauman, A. E. Physical inactivity: the Cinderella risk factor for noncommunicable disease prevention. J. Health Communication. 16, 13–26 (2011).

    Google Scholar 

  • Thivel, D. et al. Physical activity, inactivity, and sedentary behaviors: definitions and implications in occupational health. Front. public. Health. 6, 288 (2018).

    Google Scholar 

  • Pedersen, B. K. & Saltin, B. Exercise as medicine–evidence for prescribing exercise as therapy in 26 different chronic diseases. Scand. J. Med. Sci. Sports. 25, 1–72 (2015).

    Google Scholar 

  • Booth, F. W., Roberts, C. K. & Laye, M. J. Lack of exercise is a major cause of chronic diseases. Compr. Physiol. 2, 1143–1211 (2011).

    Google Scholar 

  • Kraus, W. E. et al. Physical activity, all-cause and cardiovascular mortality, and cardiovascular disease. Med. Sci. Sports. Exerc. 51, 1270 (2019).

    Google Scholar 

  • White, R. L. et al. Physical activity and mental health: a systematic review and best-evidence synthesis of mediation and moderation studies. Int. J. Behav. Nutr. Phys. Activity. 21, 134 (2024).

    Google Scholar 

  • Rahmati, M. et al. Physical activity and prevention of mental health complications: an umbrella review. Neurosci. Biobehavioral Reviews. 160, 105641 (2024).

    Google Scholar 

  • Gadager, B. B. et al. Benefits of cardiac rehabilitation following acute coronary syndrome for patients with and without diabetes: a systematic review and meta-analysis. BMC Cardiovasc. Disord. 22, 295 (2022).

    Google Scholar 

  • Bull, F. C. et al. World health organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sports Med. 54, 1451–1462 (2020).

    Google Scholar 

  • Jørgensen, L. B. et al. Objectively measured physical activity levels and adherence to physical activity guidelines in people with multimorbidity—A systematic review and meta-analysis. PLoS One. 17, e0274846 (2022).

    Google Scholar 

  • Wallis, J., Webster, K., Levinger, P. & Taylor, N. What proportion of people with hip and knee osteoarthritis Meet physical activity guidelines? A systematic review and meta-analysis. Osteoarthr. Cartil. 21, 1648–1659 (2013).

    Google Scholar 

  • Herazo-Beltrán, Y. et al. Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study. Braz. J. Phys. Ther. 21, 44–50 (2017).

    Google Scholar 

  • Beyer, K. M., Szabo, A., Hoormann, K. & Stolley, M. Time spent outdoors, activity levels, and chronic disease among American adults. J. Behav. Med. 41, 494–503 (2018).

    Google Scholar 

  • Gladwell, V. F., Brown, D. K., Wood, C., Sandercock, G. R. & Barton, J. L. The great outdoors: how a green exercise environment can benefit all. Extrem. Physiol. Med. 2, 1–7 (2013).

    Google Scholar 

  • Pasanen, T. P., Tyrväinen, L. & Korpela, K. M. The relationship between perceived health and physical activity indoors, outdoors in built environments, and outdoors in nature. Applied psychology: Health and Well-being. 6, 324–346, (2014).

  • Addas, A. Impact of neighborhood safety on adolescent physical activity in Saudi arabia: gender and socio-economic perspectives. Front. Public. Health. 13, 1520851 (2025).

    Google Scholar 

  • Cardinali, M., Beenackers, M. A., van Timmeren, A. & Pottgiesser, U. The relation between proximity to and characteristics of green spaces to physical activity and health: A multi-dimensional sensitivity analysis in four European cities. Environ. Res. 241, 117605 (2024).

    Google Scholar 

  • Gao, S., Zhai, W. & Fu, X. Green space justice amid COVID-19: unequal access to public green space across American neighborhoods. Front. public. Health. 11, 1055720 (2023).

    Google Scholar 

  • Yang, Q. et al. Physical activity and subjective well-being of older adults during COVID-19 prevention and control normalization: mediating role of outdoor exercise environment and regulating role of exercise form. Front. Psychol. 13, 1014967 (2022).

    Google Scholar 

  • Tao, Y., Ma, J., Shen, Y. & Chai, Y. Neighborhood effects on health: A multilevel analysis of neighborhood environment, physical activity and public health in suburban Shanghai, Cities. 129, 103847, (2022).

  • Nigg, C. et al. Associations between green space availability and youth’s physical activity in urban and rural areas across Germany. Landsc. Urban Plann. 247, 105068 (2024).

    Google Scholar 

  • Leese, C. & Al-Zubaidi, H. Urban green and blue spaces for influencing physical activity in the united kingdom: A narrative review of the policy and evidence. Lifestyle Med. 5, e96 (2024).

    Google Scholar 

  • Li, H., Zhang, X., Bi, S., Cao, Y. & Zhang, G. Psychological benefits of green exercise in wild or urban greenspaces: A meta-analysis of controlled trials. Urban Forestry Urban Green. 68, 127458 (2022).

    Google Scholar 

  • Mijani, N., Alavipanah, S. K., Hamzeh, S., Firozjaei, M. K. & Arsanjani, J. J. Modeling thermal comfort in different condition of Mind using satellite images: an ordered weighted averaging approach and a case study. Ecol. Ind. 104, 1–12 (2019).

    Google Scholar 

  • Seki, K., Kyröläinen, H., Sugimoto, K. & Enomoto, Y. Biomechanical factors affecting energy cost during running utilising different slopes. J. Sports Sci. 38, 6–12 (2020).

    Google Scholar 

  • Shorabeh, S. N., Kakroodi, A., Firozjaei, M. K., Minaei, F. & Homaee, M. Impact assessment modeling of Climatic conditions on spatial-temporal changes in surface biophysical properties driven by urban physical expansion using satellite images. Sustainable Cities Soc. 80, 103757 (2022).

    Google Scholar 

  • Zhong, J., Liu, W., Niu, B., Lin, X. & Deng, Y. Role of built environments on physical activity and health promotion: a review and policy insights. Front. public. Health. 10, 950348 (2022).

    Google Scholar 

  • Boloorani, A. D. et al. Vulnerability mapping and risk analysis of sand and dust storms in Ahvaz, IRAN. Environ. Pollut. 279, 116859 (2021).

    Google Scholar 

  • Yuan, C., Zhu, R., Tong, S., Mei, S. & Zhu, W. Impact of anthropogenic heat from air-conditioning on air temperature of naturally ventilated apartments at high-density tropical cities. Energy Build. 268, 112171 (2022).

    Google Scholar 

  • Hillsdon, M., Panter, J., Foster, C. & Jones, A. The relationship between access and quality of urban green space with population physical activity. Public. Health. 120, 1127–1132 (2006).

    Google Scholar 

  • Piroozfar, P., Farr, E. R., Aboagye-Nimo, E. & Osei-Berchie, J. Crime prevention in urban spaces through environmental design: A critical UK perspective, Cities, vol. 95, p. 102411, (2019).

  • Zhou, X., Zhou, X., Wang, C. & Zhou, H. Environmental and human health impacts of volatile organic compounds: A perspective review, Chemosphere, vol. 313, p. 137489, (2023).

  • Khosravian, J. et al. Evaluating the feasibility of constructing shopping centers on urban vacant land through a Spatial multi-criteria decision-making model. Front. Sustainable Cities. 6, 1373331 (2024).

    Google Scholar 

  • Shorabeh, S. N., Argany, M., Rabiei, J., Firozjaei, H. K. & Nematollahi, O. Potential assessment of multi-renewable energy farms establishment using Spatial multi-criteria decision analysis: A case study and mapping in Iran. J. Clean. Prod. 295, 126318 (2021).

    Google Scholar 

  • Wang, Y., Li, Z., Tang, Z. & Zeng, G. A GIS-based Spatial multi-criteria approach for flood risk assessment in the Dongting lake Region, Hunan, central China. Water Resour. Manage. 25, 3465–3484 (2011).

    Google Scholar 

  • Shorabeh, S. N. et al. The site selection of wind energy power plant using GIS-multi-criteria evaluation from economic perspectives. Renew. Sustain. Energy Rev. 168, 112778 (2022).

    Google Scholar 

  • Rezaei, J. Best-worst multi-criteria decision-making method. Omega 53, 49–57 (2015).

    Google Scholar 

  • Hosseinzadeh Lotfi, F. et al. The criteria importance through inter-criteria correlation (CRITIC) in uncertainty environment. In: Fuzzy Decision Analysis: Multi Attribute Decision Making Approach. (ed): Springer, 309–324. (2023).

  • Fan, W., Xu, Z., Wu, B., He, Y. & Zhang, Z. Structural multi-objective topology optimization and application based on the criteria importance through intercriteria correlation method, Engineering optimization. 54, 830–846 (2022).

  • Rezaei, J. Best-worst multi-criteria decision-making method: some properties and a linear model. Omega 64, 126–130 (2016).

    Google Scholar 

  • Zhang, Q., Fan, J. & Gao, C. CRITID: enhancing CRITIC with advanced independence testing for robust multi-criteria decision-making. Sci. Rep. 14, 25094 (2024).

    Google Scholar 

  • Mohammadi, M. & Rezaei, J. Bayesian best-worst method: A probabilistic group decision making model, Omega, vol. 96, p. 102075, (2020).

  • Diakoulaki, D., Mavrotas, G. & Papayannakis, L. Determining objective weights in multiple criteria problems: the critic method. Comput. Oper. Res. 22, 763–770 (1995).

    Google Scholar 

  • Wu, H. W., Zhen, J. & Zhang, J. Urban rail transit operation safety evaluation based on an improved CRITIC method and cloud model. J. Rail Transp. Plann. Manage. 16, 100206 (2020).

    Google Scholar 

  • Shabani, S., Faramarzi, H., Mohseni, B., Ahmadi, A. & Damavandi, A. A. Strategic selection of wood farming locations in semi-arid regions: an AHP-WLC approach for sustainable land management in Northern Iran. J. Arid Environ. 229, 105358 (2025).

    Google Scholar 

  • Ghodousi, M., Sadeghi-Niaraki, A., Rabiee, F. & Choi, S. M. Spatial-temporal analysis of point distribution pattern of schools using spatial autocorrelation indices in Bojnourd city, Sustainability, vol. 12, p. 7755, (2020).

  • Kumari, M., Sarma, K. & Sharma, R. Using moran’s I and GIS to study the Spatial pattern of land surface temperature in relation to land use/cover around a thermal power plant in Singrauli district, Madhya Pradesh, India. Remote Sens. Applications: Soc. Environ. 15, 100239 (2019).

    Google Scholar 

  • Abdulhafedh, A. A novel hybrid method for measuring the Spatial autocorrelation of vehicular crashes: combining moran’s index and Getis-Ord Gi* statistic. Open. J. Civil Eng. 7, 208–221 (2017).

    Google Scholar 

  • Jana, M. & Sar, N. Modeling of hotspot detection using cluster outlier analysis and Getis-Ord Gi* statistic of educational development in upper-primary level, India. Model. Earth Syst. Environ. 2, 60 (2016).

    Google Scholar 

  • Raza, A., Zhong, M., Akuh, R. & Safdar, M. Public transport equity with the concept of time-dependent accessibility using geostatistics methods, Lorenz curves, and Gini coefficients. Case Stud. Transp. Policy. 11, 100956 (2023).

    Google Scholar 

  • Hansmann, R., Hug, S. M. & Seeland, K. Restoration and stress relief through physical activities in forests and parks, Urban forestry & urban greening, vol. 6, pp. 213–225, (2007).

  • He, H., Lin, X., Yang, Y. & Lu, Y. Association of street greenery and physical activity in older adults: A novel study using pedestrian-centered photographs. Urban Forestry Urban Green. 55, 126789 (2020).

    Google Scholar 

  • Mears, M., Brindley, P., Jorgensen, A. & Maheswaran, R. Population-level linkages between urban greenspace and health inequality: the case for using multiple indicators of neighbourhood greenspace. Health Place. 62, 102284 (2020).

    Google Scholar 

  • Luo, Y., Yang, Z. & Qin, Y. A hybrid BWM–CRITIC–VIKOR approach for assessing oil and gas risk scenarios in probabilistic linguistic term set, Heliyon, vol. 10, (2024).

  • Wu, Y. et al. Site selection decision framework for photovoltaic hydrogen production project using BWM-CRITIC-MABAC: A case study in Zhangjiakou. J. Clean. Prod. 324, 129233 (2021).

    Google Scholar 

  • Han, L., Zhao, J., Zhang, T. & Zhang, J. Urban ventilation corridors exacerbate air pollution in central urban areas: evidence from a Chinese City. Sustainable Cities Soc. 87, 104129 (2022).

    Google Scholar 

  • Puplampu, D. A. & Boafo, Y. A. Exploring the impacts of urban expansion on green spaces availability and delivery of ecosystem services in the Accra metropolis. Environ. Challenges. 5, 100283 (2021).

    Google Scholar 

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