Skip to main content

Advertisement

Log in

Fuzzy AHP modelling of urbanization and environmental stress to rank selected Indian cities for liveability

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

This research introduces two index systems, i.e. urban development growth (UDG) and urban environment stresses (UES) to analyse the magnitude of urban growth and environmental stress scenarios. The UDG index defines an area of impervious cover present in the study area. The UES index estimates environmental disturbances in the form of (water, air, and solid waste) pollutions caused naturally or resulting from human activities. With multiple sub-indices in both the index systems, a multi-criteria decision support tool called fuzzy analytic hierarchy process (FAHP) is used to choose the best alternative by ranking multiple parameters. Pearson’s correlation analysis (r = 0.872) provided a linear relationship between the two systems. The strength and quality of that interconnection were measured by implementing an urban coupling degree model, i.e. a practical feedback framework to examine natural resources’ status followed by infrastructural advancement. A reasonable and realistic “Living Index (LI)” approach was implemented for assigning a rank to Indian cities. FAHP identified land urbanization ratio and chemical oxygen demand discharge per unit area as high weightage sub-indices representing UDG and UES, respectively. The model values concluded that almost all Indian cities were approaching extremes by 2017. The study found Guwahati in the first position and Mumbai in the last based on the liveability index. This ranking approach is more reliable and scientific as it uses reliable models and is not related to human opinions on these parameters. This ranking would be beneficial for urban planners for policymaking.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Adapted from Rostamy et al. (2012)

Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Availability of data and materials

Part of data may be available on request.

References

  • Ahlgren, P., Jarneving, B., & Rousseau, R. (2003). Requirements for a cocitation similarity measure, with special reference to Pearson’s correlation coefficient. Journal of the American Society for Information Science and Technology, 54(6), 550–560.

    Article  Google Scholar 

  • Chen, S. J., & Chen, S. M. (2005). Fuzzy information retrieval based on geometric-mean averaging operators. Computers and Mathematics with Applications, 49(7–8), 1213–1231. https://doi.org/10.1016/j.camwa.2004.06.035

    Article  Google Scholar 

  • Cheng, E. W., & Li, H. (2001). Information priority-setting for better resource allocation using analytic hierarchy process (AHP). Information Management and Computer Security. https://doi.org/10.1108/09685220110388827

    Article  Google Scholar 

  • Dijkman, J. G., van Haeringen, H., & de Lange, S. J. (1983). Fuzzy numbers. Journal of Mathematical Analysis and Applications. https://doi.org/10.1016/0022-247X(83)90253-6

    Article  Google Scholar 

  • Galès, A., Bonnafous, A., Carré, C., Jauzein, V., & Lanouguère, E. (2019). Importance of environmental interactions during wastewater treatment using High Rate Algal Ponds under different temperate climates. Algal Research. https://doi.org/10.1016/j.algal.2019.101508

    Article  Google Scholar 

  • Grimm, N. B., Foster, D., Groffman, P., Grove, J. M., Hopkinson, C. S., Nadelhoffer, K. J., Pataki, D. E., & Peters, D. P. C. (2008). The changing landscape: Ecosystem responses to urbanization and pollution across climatic and societal gradients. Frontiers in Ecology and the Environment, 6(5), 264–272. https://doi.org/10.1890/070147

    Article  Google Scholar 

  • He, J., Wang, S., Liu, Y., Ma, H., & Liu, Q. (2017). Examining the relationship between urbanization and the eco-environment using a coupling analysis: Case study of Shanghai, China. Environmental Indicators, 77, 185–193. https://doi.org/10.1016/j.ecolind.2017.01.017

    Article  Google Scholar 

  • Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., & Diabat, A. (2013). Integrated fuzzy multi criteria decision making method and multiobjective programming approach for supplier selection and order allocation in a green supply chain. Journal of Cleaner Production, 47, 355–367. https://doi.org/10.1016/j.jclepro.2013.02.010

    Article  Google Scholar 

  • Kazakis, N., Kougias, I., & Patsialis, T. (2015). Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope-Evros region, Greece. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2015.08.055

  • Khadke, P., & Waghmare, P. B. (2018). Class and size wise distribution of urban centre and their determinants in Maharashtr. August.

  • Krejčí, J., & Stoklasa, J. (2018). Aggregation in the analytic hierarchy process: Why weighted geometric mean should be used instead of weighted arithmetic mean. Expert Systems with Applications, 114, 97–106. https://doi.org/10.1016/j.eswa.2018.06.060

    Article  Google Scholar 

  • Li, M., & Mao, C. (2019). Spatial-temporal variance of coupling relationship between population modernization and eco-environment in Beijing–Tianjin–Hebei. Sustainability (Switzerland), 11(4), 1–13. https://doi.org/10.3390/su11040991

    Article  Google Scholar 

  • Liang, L., Wang, Z., & Li, J. (2019). The effect of urbanization on environmental pollution in rapidly developing urban agglomerations. Journal of Cleaner Production, 237, 117649. https://doi.org/10.1016/j.jclepro.2019.117649

    Article  Google Scholar 

  • Lin, B., & Zhu, J. (2018). Changes in urban air quality during urbanization in China. Journal of Cleaner Production, 188, 312–321. https://doi.org/10.1016/j.jclepro.2018.03.293

    Article  CAS  Google Scholar 

  • Liu, J., Zhan, J., & Deng, X. (2005). Spatio-temporal patterns and driving forces of urban land expansion in China during the economic reform era. Ambio, 34(6), 450–455. https://doi.org/10.1579/0044-7447-34.6.450

    Article  Google Scholar 

  • Masoum, M. A. S., & Fuchs, E. F. (2015). Optimal placement and sizing of shunt capacitor banks in the presence of harmonics. Power Quality in Power Systems and Electrical Machines. https://doi.org/10.1016/b978-0-12-800782-2.00010-5

    Article  Google Scholar 

  • Miles, L. S., Breitbart, S. T., Wagner, H. H., & Johnson, M. T. (2019). Urbanization shapes the ecology and evolution of plant-arthropod herbivore interactions. Frontiers in Ecology and Evolution, 7, 310.

    Article  Google Scholar 

  • Moslem, S., Ghorbanzadeh, O., Blaschke, T., & Duleba, S. (2019). Analysing stakeholder consensus for a sustainable transport development decision by the fuzzy AHP and interval AHP. Sustainability, 11(12), 3271. https://doi.org/10.3390/su11123271

    Article  Google Scholar 

  • Onnom, W., Tripathi, N., Nitivattananon, V., & Ninsawat, S. (2018). Development of a Liveable City Index (LCI) using multi criteria geospatial modelling for medium class cities in developing countries. Lci. https://doi.org/10.3390/su10020520

    Article  Google Scholar 

  • Rostamy, A., Shaverdi, M., Amiri, B., & Takanlou, F. (2012). Using fuzzy analytical hierarchy process to evaluate main dimensions of business process reengineering. Journal of Applied Operational Research, 4(2), 69–77.

    Google Scholar 

  • Saaty, T. L. (1988). What is the analytic hierarchy process? In Mathematical models for decision support (pp. 109–121). Springer.

  • Sankhe, S., Vittal, I., & Mohan, A. (2011). Urban giants: India and China, and their urbanization paths. Environment and Urbanization Asia, 2(1), 1–12. https://doi.org/10.1177/097542531000200102

    Article  Google Scholar 

  • Song, M., & Hu, C. (2018). A coupling relationship between the eco-environment carrying capacity and new-type urbanization: A case study of the Wuhan Metropolitan Area in China. Sustainability (Switzerland). https://doi.org/10.3390/su10124671

  • Sultana, S., & Satyanarayana, A. N. V. (2018). Urban heat island intensity during winter over metropolitan cities of India using remote-sensing techniques: Impact of urbanization. International Journal of Remote Sensing, 39(20), 6692–6730. https://doi.org/10.1080/01431161.2018.1466072

    Article  Google Scholar 

  • Tan, K. G., & Kaur, S. (2016). Measuring Abu Dhabi ’ s liveability using the global liveable city index (GLCI). World Journal of Science, Technology and Sustainable Development., 13(3), 205–223. https://doi.org/10.1108/WJSTSD-11-2015-0054

    Article  Google Scholar 

  • Tan, K. G., Woo, W. T., & Tan, B. S. (2014). A new instrument to promote knowledge-led growth: The Global Liveable Cities Index. International Journal of Business Competition and Growth. https://doi.org/10.1504/ijbcg.2014.060304

    Article  Google Scholar 

  • Tao, Z. (2019). Research on the degree of coupling between the urban public infrastructure system and the urban economic, social, and environmental system: A case study in Beijing, China. Mathematical Problems in Engineering. https://doi.org/10.1155/2019/8206902

    Article  Google Scholar 

  • Vaidya, C. (2009). Urban issues, reforms and way forward in India. Economic Affairs, 4, 40.

    Google Scholar 

  • Wang, K. (2001). Computational intelligence in agile manufacturing engineering. In Agile manufacturing: The 21st century competitive strategy. Elsevier, Amsterdam. https://doi.org/10.1016/b978-008043567-1/50016-4

  • Wang, D., Chen, W., Wei, W., Bird, B. W., Zhang, L., Sang, M., & Wang, Q. (2016). Research on the relationship between urban development intensity and eco-environmental stresses in Bohai Rim coastal area, China. Sustainability (Switzerland). https://doi.org/10.3390/su8040406

    Article  Google Scholar 

  • Wang, S., Ma, H., & Zhao, Y. (2014). Exploring the relationship between urbanization and the eco-environment: A case study of Beijing–Tianjin–Hebei region. Environmental Indicators, 45, 171–183. https://doi.org/10.1016/j.ecolind.2014.04.006

    Article  Google Scholar 

  • Wu, W., & Lin, C. (1998). Comparing the aggregation methods in the analytic hierarchy process when uniform distribution.

  • Wu, W., & Niu, S. (2012). Evolutional analysis of coupling between population and resource-environment in China. Procedia Environmental Sciences. https://doi.org/10.1016/j.proenv.2012.01.350

    Article  Google Scholar 

  • Yahia, N. B., & Ghezala, H. B. (2012). Integrating fuzzy case-based reasoning and particle swarmoptimization to support decision making. International Journal of Computer Science Issues, 9(3), 117–124.

    Google Scholar 

  • Yang, X., Yue, W., Xu, H., Wu, J., & He, Y. (2014). Environmental consequences of rapid urbanization in Zhejiang province, East China. International Journal of Environmental Research and Public Health, 11(7), 7045–7059.

    Article  Google Scholar 

  • Yao, L., Li, X., Li, Q., & Wang, J. (2019). Temporal and spatial changes in coupling and coordinating degree of new urbanization and environmental–environmental stress in China. Sustainability (Switzerland). https://doi.org/10.3390/su11041171

  • Yu, L., Wu, X., Zheng, X., Zheng, T., Xin, J., & Walther, M. (2019). An index system constructed for environmental stress assessment of the coastal zone: A case study of Shandong, China. Journal of Environmental Management, 232, 499–504. https://doi.org/10.1016/j.jenvman.2018.11.084

  • Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences, 8(3), 199–249. https://doi.org/10.1016/0020-0255(75)90036-5

    Article  Google Scholar 

  • Zhao, J., & Bose, B. K. (2002). Evaluation of membership functions for fuzzy logic controlled induction motor drive. IECON Proceedings (industrial Electronics Conference), 1, 229–234. https://doi.org/10.1109/iecon.2002.1187512

    Article  Google Scholar 

  • Zhuang, D., & Liu, J. (1997). Modeling of regional differentiation of land-use degree in China. Chinese Geographical Science, 7(4), 302–309. https://doi.org/10.1007/s11769-997-0002-4

    Article  Google Scholar 

Download references

Funding

The authors would like to acknowledge Science and Engineering Research Board (SERB), India, for providing the financial support for this research program vide Project No. ECR/2016/000057.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sanat Nalini Sahoo.

Ethics declarations

Conflict of interest

The authors declare that they do not have any conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sankalp, S., Sahoo, S.N. Fuzzy AHP modelling of urbanization and environmental stress to rank selected Indian cities for liveability. Environ Dev Sustain 25, 6727–6750 (2023). https://doi.org/10.1007/s10668-022-02327-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-022-02327-1

Keywords

Navigation