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Analyzing Effective Factors on Urban Growth Management Focusing on Remote Sensing Indices in Karaj, Iran

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Abstract

Although the growth of cities is a positive phenomenon, but the problem is an uncontrolled and unbalanced growth of cities. In order to control this growth, different policies in different countries have suggested. These policies don’t always have the same content and they can have different effects on the city and its surroundings. Like many developing countries, Iranian cities rapidly growing in terms of population and physically expanding at a high rate. This research investigates the factors that account for urban growth management in Iranian cities. Karaj metropolis has been studied as a case. Karaj has been experiencing significantly higher rates in the total area of urban environments mostly due to its socioeconomic attractions over four decades ago. To evaluate the dimensions of urban growth management in Karaj city, Factor analysis was used in form of classified sampling. Furthermore, in order to describe the variables in the districts of Karaj city, the COPRAS method is used. Finally, differences between urban area and indices of built-up area were analyzed. Results show that five factors effect on urban growth management in Iranian cities; policies and rules factor, physical, economic, social and environmental factors.

This paper is based on the Ph.D dissertation under the title “Explanation and presentation of optimal pattern to urban growth management in Karaj city, Iran”, presented in Faculty of Geography, University of Tehran.

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References

  • Affisco, J.F., Chanin, M.N.: An empirical investigation of integrated multicriteria group decision models in a simulation/gaming context. Simul. Gaming 21(1), 27–47 (1990). doi:10.1177/1046878190211003

    Article  Google Scholar 

  • Bouzekri, S., Lasbet, A.A., Lachehab, A.: A new spectral index for extraction of built-up area using Landsat-8 data. J. Indian Soc. Remote Sens. 43(4), 867–873 (2015). doi:10.1007/s12524-015-0460-6

    Article  Google Scholar 

  • Caves, W.: Encyclopedia of the City. Routledge, NewYork, London (2005)

    Google Scholar 

  • Chandra Das, M., Sarkar, B., Ray, S.: A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-Econ. Plann. Sci. 46(2012), 230–241 (2012)

    Google Scholar 

  • Chatterjee, P., Chakraborty, S.: Material selection using preferential ranking methods. Mater. Des. 35, 384–393 (2012). doi:10.1016/j.matdes.2011.09.027

    Article  Google Scholar 

  • Cho, J.: Urban planning and urban Sprawl in Korea. Urban Pol. Res. 23(2), 203–218 (2005)

    Article  Google Scholar 

  • Das, M.C., Sarkar, B., Ray, S.: A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-Econ. Plann. Sci. 46(3), 230–241 (2012). doi:10.1016/j.seps.2011.12.001

    Article  Google Scholar 

  • Dean, J.: Choosing the right type of rotation in PCA and EFA. Shiken JALT Test. Eval. SIG Newsl. 13, 20–25 (2009)

    Google Scholar 

  • Digman, J.M.: Personality structure: emergence of the five-factor model. Annu. Rev. Psychol. 41, 417–440 (1990). doi:10.1146/annurev.ps.41.020190.002221

    Article  Google Scholar 

  • Duany, A.A., Plater-Zyberk, E., Speck, J.: The inner city. In: Carmona, M., Tiesdell, S. (eds.) Urban Design Readers. Architectural Press, Oxford (2000)

    Google Scholar 

  • Friedman, H.S., Schustack, M.W.: Personality: Classic Theories and Modern Research, 5th edn. Allyn & Bacon, Boston (2012). ISBN 0-205-05017-4

    Google Scholar 

  • Yong, A.G., Pearce, S.: A beginner’s guide to factor analysis: focusing on exploratory factor analysis. Tutor. Quant. Methods Psychol. 9(2), 79–94 (2013)

    Article  Google Scholar 

  • Ismaeilpour, N., Zare, M., Nasrian, Z.: Urban growth management tools emphasizing to controlling sprawl. National Conference on Geography, Urban Planning and Sustainble Development. University Aviation Industry, Tehran (2014)

    Google Scholar 

  • Kaklauskas, A., Zavadskas, E.K., Naimaviciene, J., Krutinis, M., Plakys, V., Venskus, D.: Model for a complex analysis of intelligent built environment. Autom. Constr. 19(3), 326–340 (2010). doi:10.1016/j.autcon.2009.12.006

    Article  Google Scholar 

  • Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevicius, R., Komka, A., Malinauskas, P.: Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: a Lithuanian case. Energ. Build. 38(5), 454–462 (2006). doi:10.1016/j.enbuild.2005.08.005

    Article  Google Scholar 

  • Kanapeckiene, L., Kaklauskas, A., Zavadskas, E.K., Seniut, M.: Integrated knowledge management model and system for construction projects. Eng. Appl. Artif. Intell. 23(7), 1200–1215 (2010). doi:10.1016/j.engappai.2010.01.030

    Article  Google Scholar 

  • Kaur, P.: An empirical study on factors affecting faculty retention in Indian business schools, pp. 63–73. Springer, New Delhi (2015). https://doi.org/10.1007/978-81-322-1979-8_5

  • Konstantinos, D., Patlitzianas, A.P., Psarras, J.: An information decision support system towards the companies’ environment formulation of a modern energy. Renew. Sustain. Energ. Rev. 12(2008), 780–790 (2008)

    Google Scholar 

  • Kumar Dey, P., Nath Ghosh, D., Chand Mondal, A.: A MCDM approach for evaluating bowlers performance in IPL. J. Emerg. Trends Comput. Inf. Sci. 2, 563–573 (2011)

    Google Scholar 

  • Keiner, M., Koll-Schretzenmayr, M., Schmid, W.A.: Managing Urban Futures: Sustainability and Urban Growth in Developing Countries. Ashgate, Aldershot (2005)

    Google Scholar 

  • Loeb, D.: Urban voids: grounds for change reimagining Philadelphia’s vacant lands. Archit. Des. 78(1–2), 68–73 (2008)

    Google Scholar 

  • Mulliner, E., Smallbone, K., Maliene, V.: An assessment of sustainable housing affordability using a multiple criteria decision making method. Omega 41(2), 270–279 (2013). doi:10.1016/j.omega.2012.05.002

    Article  Google Scholar 

  • Osborne, J.W.: What is rotating in exploratory factor analysis? Pract. Assess. Res. Eval 20(2) (2015). http://pareonline.net/getvn.asp?v=20&n=2

  • Pallagst, K.M.: Growth Management in the US, Between Theory and Practice. Ashgate Publishing Limited, England (2007)

    Google Scholar 

  • Pirasteh, A., Hidarnia, A., Asghari, A., Faghihzadeh, S., Ghofranipour, F.: Development and validation of psychosocial determinants measures of physical activity among Iranian adolescent girls. BMC Pub. Health 8, 150 (2008). doi:10.1186/1471-2458-8-150

    Article  Google Scholar 

  • Rietveld, T., van Hout, R.: Statistical Techniques for the Study of Language and Language Behaviour. De Gruyter Mouton, Berlin, Boston (1993). doi:10.1515/9783110871609

    Book  Google Scholar 

  • Rummel, R.J.: Applied Factor Analysis. Northwestern University Press, Evanston (1970)

    MATH  Google Scholar 

  • Sakieh, Y., Amiri, B.J., Danekar, A., Feghhi, J., Dezhkam, S.: Simulating urban expansion and scenario prediction using a cellular automata urban growth model, SLEUTH, through a case study of Karaj City. Iran. J. Hous. Built Environ. 30(4), 591–611 (2014). doi:10.1007/s10901-014-9432-3

    Article  Google Scholar 

  • Severine, M.: The Influence of Local Political Coalitions on the Effectiveness of Urban Containment Policies: Empirical Evidence from Six U.S. States. Florida State University, New York (2007)

    Google Scholar 

  • Seifolddini, F., Mansourian, H.: Spatial-temporal pattern of urban growth in Tehran Megapole. J. Geogr. Geol. 6(1), 70–80 (2014). doi:10.5539/jgg.v6n1p70

    Google Scholar 

  • Sudhira, H.S., Ramachandra, T.V., Raj, K.S., Jagadish, K.S.: Urban growth analysis using spatial and temporal data. J. Indian Soc. Remote Sens. 31(4), 299–311 (2003). doi:10.1007/BF03007350

    Article  Google Scholar 

  • Tabachnick, B.G., Fidell, L.S.: Using Multivariate Statistics, 3rd edn. Harper Collins, New York (1996)

    Google Scholar 

  • Triantaphyllou, E.: Encyclopedia of Electrical and Electronics Engineering, vol. 15, pp. 175–186. Wiley, New York (1998). Webster, J.G. (ed.)

    Google Scholar 

  • Trancik, R.: What is lost space? In: Urban Design Readers. Architectural Press, Oxford (1986)

    Google Scholar 

  • Waqar, M.M., Mirza, J.F., Mumtaz, R., Hussain, E.: Development of new indices for extraction of built-up area & bare soil from landsat data, vol. 1, p. 136 (2012). doi:10.4172/scientificreports.136

  • Walters, D., Luise Brown, L.: Design First: Design-based Planning for Communities. Architectural Press, Oxford (2004)

    Google Scholar 

  • Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Tamošaitienė, J.: Selection of the effective dwelling house walls by applying attributes values determined at intervals (2008). https://doi.org/10.3846/1392-3730.2008.14.3

  • Zha, Y., Gao, J., Ni, S.: Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int. J. Remote Sens. 24(3), 583–594 (2003)

    Article  Google Scholar 

  • Zhang, Y., Balzter, H., Liu, B., Chen, Y.: Analyzing the impacts of urbanization and seasonal variation on land surface temperature based on subpixel fractional covers using landsat images, vol. 10(4), pp. 1–13 (2016)

    Google Scholar 

  • Iranian Statistics Center: Karaj statistical yearbook 2012. Tehran, Iran (2012)

    Google Scholar 

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Correspondence to Saeed Zanganeh Shahraki .

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Molaei Qelichi, M., Murgante, B., Farhoudi, R., Zanganeh Shahraki, S., Ziari, K., Pourahmad, A. (2017). Analyzing Effective Factors on Urban Growth Management Focusing on Remote Sensing Indices in Karaj, Iran. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10407. Springer, Cham. https://doi.org/10.1007/978-3-319-62401-3_34

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  • DOI: https://doi.org/10.1007/978-3-319-62401-3_34

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