LOCAL APPROACH OVER SPATIAL RESTRUCTURING FOR ECONOMIC CHANGE THROUGH BRI-DRIVEN FDI IN ARAS SPECIAL ECONOMIC ZONES
Keywords:
regional development; spatial (re)structuring; local spatial approach; Belt and Road; Bottom-up planning; SEZsAbstract
International agreements and FDI have increased opportunities for economic and spatial expansion significantly in recent decades, and industrial parks have played an important role in this process, cooperation process often arises a conflict of interest among various stakeholders and locals. However, the critical interaction between local spatial approaches and FDI-induced spatial restructuring of industrial parks as a common platform in a bottom-up planning process has been overlooked for regional development. This study will assess the effects of the local spatial approach on the Aras Free Trade-Industrial Zone spatial restructure via BRI-driven FDI for regional development. Questionnaire data, based on locals’ spatial approach to spatial restructure through BRI-driven FDI for sustainable development will be assessed using an integrated Entropy-COPRAS method for ranking and GIS software for spatial analysis to determine weighted and elevated values, hot and cold spots on the map. According to the methodology used, the findings revealed spatial heterogeneity within sections, as well as areas with high weighted and elevated values for mapped spatial locations. Eastern and western sections of the AFTZ were also found to be the most suitable for development.
References
Haghparast, Q. Evaluation of the sustainable urban development in the Mashhad Metropolis using Ecological Footprint Method. Comput. Ecol. Softw. 2018, 8, 75.
Falahat, S.; Shirazi, M.R. New urban developments in Safavid Isfahan continuity or disjuncture? Plan. Perspect. 2012, 27, 611–624.
Sarvestani, M.S.; Ibrahim, A.L.; Kanaroglou, P. Three decades of urban growth in the city of Shiraz, Iran: A remote sensing and geographic information systems application. Cities 2011, 28, 320–329.
Rafiee, R.; Mahiny, A.S.; Khorasani, N.; Darvishsefat, A.A.; Danekar, A. Simulating urban growth in Mashad City, Iran through the SLEUTH model (UGM). Cities 2009, 26, 19–26.
Afrakhteh, H. The problems of regional development and border cities: A case study of Zahedan, Iran. Cities 2006, 23, 423–432, doi:https://doi.org/10.1016/j.cities.2006.08.004.
Kim, Y.; Choi, M.J. Contracting-out public-private partnerships in mega-scale developments: The case of New Songdo City in Korea. Cities 2018, 72, 43–50.
Pereira, R.H.M. Transport legacy of mega-events and the redistribution of accessibility to urban destinations. Cities 2018, 81, 45–60.
Maiello, A.; Pasquinelli, C. Destruction or construction? A (counter) branding analysis of sport mega-events in Rio de Janeiro. Cities 2015, 48, 116–124.
Soffianian, A.; Nadoushan, M.A.; Yaghmaei, L.; Falahatkar, S. Mapping and analyzing urban expansion using remotely sensed imagery in Isfahan, Iran. World Appl. Sci. J. 2010, 9, 1370–1378.
Xu, L.; Huang, Q.; Ding, D.; Mei, M.; Qin, H. Modelling urban expansion guided by land ecological suitability: A case study of Changzhou City, China. Habitat Int. 2018, 75, 12–24.
Long, Y.; Zhai, W.; Shen, Y.; Ye, X. Understanding uneven urban expansion with natural cities using open data. Landsc. Urban Plan. 2018, 177, 281–293.
Ye, L.; Björner, E. Linking city branding to multi-level urban governance in Chinese mega-cities: A case study of Guangzhou. Cities 2018, 80, 29–37.
Gulakov, I.; Vanclay, F.; Arts, J. Modifying social impact assessment to enhance the effectiveness of company social investment strategies in contributing to local community development. Impact Assess. Proj. Apprais. 2020, 38, 382–396.
Posas, P.J. Climate change in SEA: learning from English local spatial planning experience. Impact Assess. Proj. Apprais. 2011, 29, 289–302.
Rall, E.; Hansen, R.; Pauleit, S. The added value of public participation GIS (PPGIS) for urban green infrastructure planning. Urban For. Urban Green. 2019, 40, 264–274.
Bagheri, H.; Zarghami, E. Assessing the relationship between housing characteristics and children’s independent mobility by PPGIS method. J. Hous. Built Environ. 2022, 1–17.
Cui, X.; Wang, X. Review on studies of urban spatial behavior and urban planning from the perspective of big data. In ICCREM 2015; 2015; pp. 521–531.
Wang, L. Spatial Planning and Governance: Literature Review. Chang. Spat. Elem. Chinese Socio-economic Five-year Plan from Proj. Layout to Spat. Plan. 2019, 7–44.
Simeonova, V. Environmental policy integration in urban spatial planning: the approach of Rotterdam. WIT Trans. Ecol. Environ. 2006, 93, 219–228.
Sullivan-Wiley, K.; Teller, A. The integrated socio-perceptual approach: Using ecological mental maps and future imaginaries to understand land use decisions. Glob. Environ. Chang. 2020, 64, 102151.
Song, T.; Liu, W.; Liu, Z.; Wuzhati, Y. Chinese overseas industrial parks in Southeast Asia: An examination of policy mobility from the perspective of embeddedness. J. Geogr. Sci. 2018, 28, 1288–1306.
Liu, S.; Ding, P.; Xue, B.; Zhu, H.; Gao, J. Urban Sustainability Evaluation Based on the DPSIR Dynamic Model: A Case Study in Shaanxi Province, China. Sustainability 2020, 12, 7460.
Li, W.; Yi, P.; Zhang, D. Sustainability evaluation of cities in northeastern China using dynamic TOPSIS-entropy methods. Sustainability 2018, 10, 4542.
Pan, A.; Wang, Q.; Yang, Q. Assessment on the coordinated development oriented to Green City in China. Ecol. Indic. 2020, 116, 106486.
Alinezhad, A.; Khalili, J. COPRAS Method. In New Methods and Applications in Multiple Attribute Decision Making (MADM); Springer, 2019; pp. 87–91.
Zavadskas, E.K.; Kaklauskas, A.; Peldschus, F.; Turskis, Z. Multi-attribute assessment of road design solutions by using the COPRAS method. Balt. J. Road Bridg. Eng. 2007, 2, 195–203.
Narayanamoorthy, S.; Ramya, L.; Kalaiselvan, S.; Kureethara, J.V.; Kang, D. Use of DEMATEL and COPRAS method to select best alternative fuel for control of impact of greenhouse gas emissions. Socioecon. Plann. Sci. 2021, 76, 100996.
Alinezhad, A.; Amini, A.; Rahmani, M. New product development risk assessment in the core banking using FMEA combined with COPRAS method and grey relations. J. Money Econ. 2015, 10, 87–121.
Valipour, A.; Yahaya, N.; Md Noor, N.; Antuchevičienė, J.; Tamošaitienė, J. Hybrid SWARA-COPRAS method for risk assessment in deep foundation excavation project: An Iranian case study. J. Civ. Eng. Manag. 2017, 23, 524–532.
Lu, J.; Zhang, S.; Wu, J.; Wei, Y. COPRAS method for multiple attribute group decision making under picture fuzzy environment and their application to green supplier selection. Technol. Econ. Dev. Econ. 2021, 27, 369–385.
Zheng, Y.; Xu, Z.; He, Y.; Liao, H. Severity assessment of chronic obstructive pulmonary disease based on hesitant fuzzy linguistic COPRAS method. Appl. Soft Comput. 2018, 69, 60–71.
NASIRI HENDEH KHALEH, E.; Esmaeili, F.; YOUNESI SANDI, R.; Nezafat Takleh, H. Assessing the social sustainability of urban neighborhoods with an emphasis on composition of land use (Case study of 15th district of Tehran. Geogr. Plan. 2022, 25, 363–376.
Kusakci, S.; Yilmaz, M.K.; Kusakci, A.O.; Sowe, S.; Nantembelele, F.A. Towards sustainable cities: A sustainability assessment study for metropolitan cities in Turkey via a hybridized IT2F-AHP and COPRAS approach. Sustain. Cities Soc. 2022, 78, 103655.
Maliene, V.; Fowles, S.; Atkinson, I.; Malys, N. A sustainability assessment framework for the high street. Cities 2022, 124, 103571.
Kaklauskas, A.; Zavadskas, E.K.; Radzeviciene, A.; Ubarte, I.; Podviezko, A.; Podvezko, V.; Kuzminske, A.; Banaitis, A.; Binkyte, A.; Bucinskas, V. Quality of city life multiple criteria analysis. Cities 2018, 72, 82–93.
Zapolskytė, S.; Trépanier, M.; Burinskienė, M.; Survilė, O. Smart urban mobility system evaluation model adaptation to Vilnius, Montreal and Weimar cities. Sustainability 2022, 14, 715.
Činčikaitė, R.; Meidute-Kavaliauskiene, I. An Integrated Competitiveness Assessment of the Baltic Capitals Based on the Principles of Sustainable Development. Sustainability 2021, 13, 3764.
Dlabac, O.; Zwicky, R.; Hoole, C.; Chu, E.; O’Farrell, L. The Democratic Foundations of the Just City: Key Insights From a European Comparative Study. disP-The Plan. Rev. 2021, 57, 84–99.
Pasquinelli, C.; Vuignier, R. Place marketing, policy integration and governance complexity: an analytical framework for FDI promotion. Eur. Plan. Stud. 2020, 28, 1413–1430.
Schenkel, W.; Plüss, L. Spatial Planning and Metropolitan Governance in Switzerland: A Condensed Overview. disP-The Plan. Rev. 2021, 57, 4–11.
Hwang, J.-T. Territorialized urban mega-projects beyond global convergence: The case of Dongdaemun Design Plaza & Park Project, Seoul. Cities 2014, 40, 82–89.
Asadolahi, Z.; Salmanmahiny, A.; Sakieh, Y.; Mirkarimi, S.H.; Baral, H.; Azimi, M. Dynamic trade-off analysis of multiple ecosystem services under land use change scenarios: Towards putting ecosystem services into planning in Iran. Ecol. Complex. 2018, 36, 250–260.
Zou, L.; Liu, Y.; Yang, J.; Yang, S.; Wang, Y.; Hu, X. Quantitative identification and spatial analysis of land use ecological-production-living functions in rural areas on China’s southeast coast. Habitat Int. 2020, 100, 102182.
Chen, H.; Yan, W.; Li, Z.; Wende, W.; Xiao, S.; Wan, S.; Li, S. Spatial patterns of associations among ecosystem services across different spatial scales in metropolitan areas: A case study of Shanghai, China. Ecol. Indic. 2022, 136, 108682.
Xu, S.; Liu, Y.; Wang, X.; Zhang, G. Scale effect on spatial patterns of ecosystem services and associations among them in semi-arid area: a case study in Ningxia Hui Autonomous Region, China. Sci. Total Environ. 2017, 598, 297–306.
Zhang, J.; Li, S.; Lin, N.; Lin, Y.; Yuan, S.; Zhang, L.; Zhu, J.; Wang, K.; Gan, M.; Zhu, C. Spatial identification and trade-off analysis of land use functions improve spatial zoning management in rapid urbanized areas, China. Land use policy 2022, 116, 106058.
Tjia, D.; Coetzee, S. Geospatial information needs for informal settlement upgrading–A review. Habitat Int. 2022, 122, 102531.
Soe, R.-M.; Schuch de Azambuja, L.; Toiskallio, K.; Nieminen, M.; Batty, M. Institutionalising smart city research and innovation: from fuzzy definitions to real-life experiments. Urban Res. Pract. 2021, 1–43.
Garner, J.F. World conservation strategy ( UK).; 1983; ISBN 2880321042.
Zhang, X.; Pan, M. Emerging rural spatial restructuring regimes in China: A tale of three transitional villages in the urban fringe. J. Rural Stud. 2020.
Zasina, J.; Sokołowicz, M.E.; Nogalski, S. Lodz City Tour: The changing nature of the urban restructuring of a post-socialist industrial city. disP-The Plan. Rev. 2020, 56, 8–19.
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