Integrating Quantitative and Qualitative Frames in Assessing Land Use Change, a Step towards Sustainable Development (Case Study: Mazandaran Coastline)

Document Type : Original Article

Authors
1 Associate Professor, Department of Urban Planning, Faculty of Architecture and Urban Planning, Art University of Isfahan, Isfahan, Iran.
2 PhD. Student, Department of Urban Planning, Faculty of Architecture and Urban Planning, Art University of Isfahan, Isfahan, Iran.
Abstract
The development trend in Mazandaran coastline province over the past decades has caused the degradation of natural environment and increasing pollution of the Mazandaran Sea. According to the principles of urban planning, and by the approach of sustainable development for achieving a viable community,it is needed to prevent the increasing degradation of natural lands. Thus, the present study, within the framework of sustainable development approach, is trying to reduce the process of demolition of lands with natural values in case of Mazandaran coastline province. Based on the importance and environmental values of these lands and in order to prevent and reduce land demolition, it is necessary to plan with emphasis on ecological protection approach by modeling and forecasting of future developments. Thus, the purpose of this study is to predict land use changes in the year of 1420and to determine how developments in the natural landscape are affected. After predicting land use changes, it is necessary to use a tool such as scenario to select a desirable situation that puts the least risk and threat on the natural environment. Therefore, using the selected geographic perspective model, urban development and land use changes were analyzed. Finally, it was concluded that the selected scenario, due to the relationship between urban and rural centers, could lead to the formation of a network of centers that could contribute to economic cohesion through strong links and interactions. In this scenario, construction is under the control of the urban and local management so that it can reduce the trend of speculation.

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  • Al-shalabi, Mohamed, Lawal Billa, Biswajeet Pradhan, and Shattri Mansor.2012. Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: the case of Sana’a metropolitan city, Yemen; Environ Earth Sci 70:425-437.
  • Barredo jose.I, Luca Demicheli. 2003. Urban sustainability in developing countries’ megacities: modelling and predicting future urban growth in Lagos, Cities  20:297–310.
  • Basse, Reine Maria, Hichem Omrani, Omar Charif, Philippe Gerber. 2014.  Land use changes modelling using advanced methods: Cellular automata and artificial neural networks. The spatial and explicit representation of land cover dynamics at the cross-border region scale, Applied Geography 53:160-171.
  • He, Yingqing, Bin Ai, Yao Yao, Fajun Zhong. 2015. Deriving urban dynamic evolution rules from self-adaptive cellular automata with multi-temporal remote sensing images, International Journal of Applied Earth Observation and Geoinformation 38:164-174.
  • Huang, Jingnan, Jinting Zhang , X.X. Lu. 2008. Applying SLEUTH for simulating and assessing urban growth scenario based on time series TM images: referencing to a case study of  Chongqing China, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  37, 1-15.
  • Greenhalgh, Paul., and Cecilia Gudgeon. 2000. Mechanisms of urban change: Regeneration Companies or Development Corporations?  Urban  Regeneration Companies 1-31.
  • Gonzalez, Pablo Barreira, Montserrat Gómez-Delgado, Francisco Aguilera-Benavente .2015. From raster to vector cellular automata models: A new approach to simulate urban growth with the help of graph theory, Computers, Environment and Urban Systems 54:119-131.
  • Giuliano, Genevieve , Chris Redfearn, Ajay Agarwal, and Sylvia He . 2011. Network Accessibility and Employment Centers, Urban Studies 49: 77-95.
  • Jankowski, Piotr, and Harutyun Shahumyan. 2010. Integration of the MOLAND Model with GeoChoicePerspectives Spatial Decision Support Software for Scenario Evaluation. International Conference on Geographic Information Science, Portugal.
  • Shahumyan, Harutyun, Brendan Williams, Laura Petrov, and Walter Foley .2014. Regional Development Scenario Evaluation through Land Use Modelling and Opportunity Mapping, Land 3:1180-1213.
  • Natale, Evangelina S., G. Villalba, Sergio Martín Zalba .2015. Assessment of the Conservation Status of Natural and Semi-Natural Patches Associated with urban Areas Through Habitat Suitability Indices, International journal environmental research 9:495-504.
  • Tang, James T. H., Yin-Wah Chu. 2005.  Environmental and Labour Organizations in Hong Kong, International Journal of Urban and Regional Research 29:849-866.
  • Wu, F, and C.j. Webster. 2000. simulating artificial cities in a GIS environment: urban growth under alternative, regulation regimes. International Journal of Geographical Information Science 625-48.