Volume 13, Issue 2 (2023)                   Naqshejahan 2023, 13(2): 25-39 | Back to browse issues page

XML Persian Abstract Print


1- M.Sc. Student of Regional Planning, Faculty of Art and Architecture, Science and Research Branch, Islamic Azad University, Tehran, Iran , mehdi.ezanloo4@gmail.com
2- M.Sc. Student of Regional Planning, Faculty of Art and Architecture, Science and Research Branch, Islamic Azad University, Tehran, Iran
3- Assistant Professor of Faculty of Environment, University of Tehran, Tehran, Iran
Abstract:   (1891 Views)
Aims: The landuse change is one of the most important challenges of urban development in Iran. The purpose of this study is to investigate the trend of agricultural land use change and its impact on sustainable development in Shahriar city.

Methods: This descriptive-analytical research methodology is selected for the investigation during 1996 to 2016. The trends of changes in Shahriar city are studied and analyzed and radiometric correction is performed by using ENVI software. A questionnaire technic was used to assess the effects of landuse change on sustainable development.

Findings: Based on the results during the study period (1996 to 2016), the residential use increased annually with the growth rate of 117 hectares per year. Also, the use of garden and agricultural lands is increasing at an average rate of 200 and 37 hectares per year, respectively. Agricultural lands first experienced a decreasing trend (8%), then increased again (16.7%) and the result was an incremental study period (8.7%). Barren lands also have a 30% reduction rate in the region.

Conclusion: The outcomes emphasize on the importance and significant impact of agricultural and horticultural land use change on the components of sustainable development and well show that land use change has negative economic, social, environmental and spatial physical effects for sustainable development.
Article number: 2
Full-Text [PDF 1054 kb]   (1628 Downloads)    
Article Type: Brief Communication | Subject: Urban Design
Received: 2022/01/12 | Accepted: 2023/04/9 | Published: 2023/06/22

References
1. Hashmnia G, Amar T, Molaei N, Gharashi M. Explaining the Physical Consequences of Agricultural Land Use Changes in Villages in Khammam District in the last two decades. Geography (Regional Planning). 2019 Feb 20;9(1): 333-346. https://dorl.net/dor/20.1001.1.22286462.1397.9.1.20.0 [Article]
2. Ercan B, Elias-Ozkan ST. Performance-based parametric design explorations: A method for generating appropriate building components. Des Stud. 2015;38:33–53. https://doi.org/10.1016/j.destud.2015.01.001 [Article] [DOI]
3. Zani A, Andaloro M, Deblasio L, Ruttico P, Mainini AG. Computational Design and Parametric Optimization Approach with Genetic Algorithms of an Innovative Concrete Shading Device System. Procedia Eng. 2017;180:1473–83. https://doi.org/10.1016/j.proeng.2017.04.310 [Article] [DOI]
4. Lotfi S, Sholeh M, Farmand M, Fattahi K. Urban Design Criteria for Zero-Carbon Neighborhoods. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning. 2016 Jul 10;6(1):80-92. https://dorl.net/dor/20.1001.1.23224991.1395.6.1.6.4 [Article]
5. Mahdavinejad M, Zia A, Larki AN, Ghanavati S, Elmi N. Dilemma of green and pseudo green architecture based on LEED norms in case of developing countries. International journal of sustainable built environment, 2014 Dec 1;3(2):235-46. https://doi.org/10.1016/j.ijsbe.2014.06.003 [Article] [DOI]
6. Aliabadi M, Zarkesh A, Mahdavinejad M. Bioware fog collectors: the Texas horned lizard as a model for a biomimetic fog-harvesting. Materials Research Express. 2018 Sep 5;5(11):115502. https://doi.org/10.1088/2053-1591/aadab4 [Article] [DOI]
7. Aliabadi M, Zarkesh A, Siampour H, Abbasian S, Mahdavinejad M, Moshaii A. Bioinspired Azimuthally Varying Nanoscale Cu Columns on Acupuncture Needles for Fog Collection. ACS Applied Nano Materials. 2021 Sep 15. https://doi.org/10.1021/acsanm.1c01288 [Article] [DOI]
8. Eskandari H, Saedvandi M, Mahdavinejad M. The impact of Iwan as a traditional shading device on the building energy consumption. Buildings. 2018 Jan; 8(1):3. https://doi.org/10.3390/buildings8010003 [Article] [DOI]
9. Bolouhari S, Barbera L, Etessam I. Learning Traditional Architecture for Future Energy-Efficient Architecture in the Country; Case Study: Yazd City. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning, 2020 Sep 10;10(2):85-93. [Persian] https://dorl.net/dor/20.1001.1.23224991.1399.10.2.3.1 [Article]
10. Alinasab M, Suzanchi K. Sustainable development of urban river valley based on ecological assessment; Case study: Darabad River Valley, Tehran. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning. 2013;3(2):51-61. [Persian] https://dorl.net/dor/20.1001.1.23224991.1392.3.2.3.2 [Article]
11. Eslamirad N, Kolbadinejad SM, Mahdavinejad M, Mehranrad M. Thermal comfort prediction by applying supervised machine learning in green sidewalks of Tehran. Smart and Sustainable Built Environment. 2020 Apr 28; 9(4):361-374. https://doi.org/10.1108/SASBE-03-2019-0028 [Article] [DOI]
12. Moshari M, Nazari S. Learning from Hidden Geometry of Forests and Wild-life Environment for Biophilic Regional Planning. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning. 2020 Oct 10;10(3):183-191. [Persian] https://dorl.net/dor/20.1001.1.23224991.1399.10.3.6.6 [Article]
13. Javanroodi K, Mahdavinejad M, Nik VM. Impacts of urban morphology on reducing cooling load and increasing ventilation potential in hot-arid climate. Applied Energy. 2018; 231: 714-46. https://doi.org/10.1016/j.apenergy.2018.09.116 [Article]
14. Haghshenas M, Hadianpour M, Matzarakis A, Mahdavinejad M, Ansari M. Improving the suitability of selected thermal indices for predicting outdoor thermal sensation in Tehran. Sustainable Cities and Society. 2021 Jul 27:103205. https://doi.org/10.1016/j.scs.2021.103205 [Article] [DOI]
15. Qingsong M, Fukuda H. Parametric office building for daylight and energy analysis in the early design stages. Procedia-Social and Behavioral Sciences. 2016 Jan 6;216:818-28. https://doi.org/10.1016/j.sbspro.2015.12.079 [Article] [DOI]
16. Fallahtafti R, Mahdavinejad M. Window geometry impact on a room's wind comfort. Engineering, Construction and Architectural Management. 2021 Mar 24;28(9):2381-2410. https://doi.org/10.1108/ECAM-01-2020-0075 [Article] [DOI]
17. Taqvaee A, Bemanian M, Poorjafar M, Bahrampoor M. Assessment of spatial justice theory of justice; Case: 22 districts of Tehran. International Journal of Urban and Rural Management. 2015; 14(38):391‐423. [Persian] Available from: http://ijurm.imo.org.ir/browse.php?a_id=441&slc_lang=fa&sid=1&ftxt=1 [Article]
18. Barati A, Asadi A, Kalantari K, Azadi, H. Design of Structural Equation and Integrated Causes and Effects Model of Agricultural Land Use Change in Iran According to the Experts’ View of Agricultural Land Organization. Iranian Agricultural Extension and Education Journal. 2016 May 21;12(1): 21-37. https://dorl.net/dor/20.1001.1.20081758.1395.12.1.2.3 [Article]
19. Barati A, Asadi, A., Kalantari, K., Azadi, H. Design of Structural Equation and Integrated Causes and Effects Model of Agricultural Land Use Change in Iran According to the Experts’ View of Agricultural Land Organization. Iranian Agricultural Extension and Education Journal. 2016 May 21;12(1):21-37. doi: 10.22067/JRRP.V5I3.50436 [Article] [DOI]
20. Adeli Sardooei M, Asadi A, Kalantari K, Barati A. Khosravi, H. Assessing the Jiroft Plain Farmers’ Intention to Cultivate Crops Based on Water Resources: The Application of the Theory of Planned Behavior and Health Belief Model. Iranian Agricultural Extension and Education Journal. 2022. Available from: https://www.iaeej.ir/article_137072.html?lang=en [Article]
21. Mahdavinejad M, Salehnejad H, Moradi N. An ENVI-met Simulation Study on Influence of Urban Vegetation Congestion on Pollution Dispersion. Asian Journal of Water, Environment and Pollution. 2018 Jan 1;15(2):187-94. https://doi.org/10.3233/ajw-180031 [Article] [DOI]
22. Bazazzadeh H, Pilechiha P, Nadolny A, Mahdavinejad M, Hashemi Safaei SS. The Impact Assessment of Climate Change on Building Energy Consumption in Poland. Energies. 2021 July 06;14(14):4084. http://dx.doi.org/10.3390/en14144084 [Article] [DOI]
23. Bazazzadeh H, Świt-Jankowska B, Fazeli N, Nadolny A, Safar Ali Najar B, Hashemi Safaei S, Mahdavinejad M. Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Framework of High-Performance Architecture for an Office Building in Tehran. Energies. 2021 December 8;14(24), 8272. https://doi.org/10.3390/en14248272 [Article] [DOI]
24. Rasoolzadeh M, Moshari M. Prioritizing for Healthy Urban Planning: Interaction of Modern Chemistry and Green Material-based Computation. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning. 2021 May 10;11(1):94-105. [Persian] https://dorl.net/dor/20.1001.1.23224991.1400.11.1.7.0 [Article]
25. Heidari F, Mahdavinejad M, Werner LC, Roohabadi M, Sarmadi H. Biocomputational Architecture Based on Particle Physics. Front. Energy Res. 2021 July 08;9:620127. https://doi.org/10.3389/fenrg.2021.620127 [Article] [DOI]
26. Goharian A, Mahdavinejad M, Bemanian M, Daneshjoo K. Designerly optimization of devices (as reflectors) to improve daylight and scrutiny of the light-well’s configuration. Building Simulation. 2021 Oct 9 (pp. 1-24). Tsinghua University Press. https://doi.org/10.1007/s12273-021-0839-y [Article] [DOI]
27. Hadianpour M, Mahdavinejad M, Bemanian M, Haghshenas M, Kordjamshidi M. Effects of windward and leeward wind directions on outdoor thermal and wind sensation in Tehran. Building and Environment. 2019 Mar 1;150:164-180. https://doi.org/10.1016/j.buildenv.2018.12.053 [Article] [DOI]
28. Talaei M, Mahdavinejad M. Probable cause of damage to the panel of microalgae bioreactor building façade: Hypothetical evaluation. Engineering Failure Analysis. 2019 Jul 1;101:9-21. https://doi.org/10.1016/j.engfailanal.2019.02.060 [Article] [DOI]
29. Talaei M, Mahdavinejad M, Azari R, Prieto A, Sangin H. Multi-objective optimization of building-integrated microalgae photobioreactors for energy and daylighting performance. Journal of Building Engineering. 2021 Jun 5:102832. https://doi.org/10.1016/j.jobe.2021.102832 [Article] [DOI]
30. Talaei M, Mahdavinejad M, Azari R, Haghighi HM, Atashdast A. Thermal and energy performance of a user-responsive microalgae bioreactive façade for climate adaptability. Sustainable Energy Technologies and Assessments. 2022 Aug 1;52:101894. https://doi.org/10.1016/j.seta.2021.101894 [Article] [DOI]
31. Valitabar M. Mohammadjavad M. Henry S. Peiman P. A dynamic vertical shading optimisation to improve view, visual comfort and operational energy. Open House International. 2021 Jul 9;46(3):401-415. https://doi.org/10.1108/OHI-02-2021-0031 [Article] [DOI]
32. Saadatjoo P, Mahdavinejad M, Zhang G, Vali K. Influence of permeability ratio on wind-driven ventilation and cooling load of mid-rise buildings. Sustainable Cities and Society. 2021 Jul 1;70:102894. https://doi.org/10.1016/j.scs.2021.102894 [Article] [DOI]
33. Saadatjoo P, Mahdavinejad M, Zhang G. A study on terraced apartments and their natural ventilation performance in hot and humid regions. Building Simulation. 2018 Apr 1;11(2):359-372. Tsinghua University Press. https://doi.org/10.1007/s12273-017-0407-7 [Article] [DOI]
34. Rahbar M, Mahdavinejad M, Bemanian M, Davaie Markazi AH, Hovestadt L. Generating Synthetic Space Allocation Probability Layouts Based on Trained Conditional-GANs. Applied Artificial Intelligence. 2019 Jul 3;33(8):689-705. https://doi.org/10.1080/08839514.2019.1592919 [Article] [DOI]
35. Rahbar M, Mahdavinejad M, Markazi A.H.D., Bemanian M. Architectural layout design through deep learning and agent-based modeling: A hybrid approach. Journal of Building Engineering. 2022 April15; 47, 103822. https://doi.org/10.1016/j.jobe.2021.103822 [Article] [DOI]
36. Cetin M. The effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellitia imagines on air quality: a case study of Bursa city. Air Quality, Atmosphere & Health. 2019 Oct;12(10):1237-49. https://doi.org/10.1007/s11869-019-00742-4 [Article] [DOI]
37. Wakode HB, Baier K, Jha R, Azzam R. Analysis of urban growth using Landsat TM/ETM data and GIS—a case study of Hyderabad, India. Arabian Journal of Geosciences. 2014 Jan;7(1):109-21. https://doi.org/10.1007/s12517-013-0843-3 [Article] [DOI]
38. Surawar M, Kotharkar R. Assessment of urban heat island through remote sensing in Nagpur urban area using landsat 7 ETM+ Satellite Images. International Journal of Urban and Civil Engineering. 2017 May 2;11(7):868-74. https://doi.org/10.5281/zenodo.1131073 [Article] [DOI]
39. Qingsong M, Fukuda H. Parametric office building for daylight and energy analysis in the early design stages. Procedia-Social and Behavioral Sciences. 2016 Jan 6;216:818-28. https://doi.org/10.1016/j.sbspro.2015.12.079 [Article] [DOI]
40. Kamran, H., Hosaini Amini, H. Position analysis of Shahriar official city based on passive defense principles. Geography and Environmental Planning. 2012; 23(3): 163-176. Available from: https://gep.ui.ac.ir/article_18560.html?lang=en [Article]
41. Zhang X, Feng R, Li X, Shen H, Yuan Z. Block adjustment-based radiometric normalization by considering global and local differences. IEEE Geoscience and Remote Sensing Letters. 2020 Oct 28;19:1-5. DOI: 10.1109/LGRS.2020.3031398 [Article] [DOI]
42. López-Serrano PM, Corral-Rivas JJ, Díaz-Varela RA, Álvarez-González JG, López-Sánchez CA. Evaluation of radiometric and atmospheric correction algorithms for aboveground forest biomass estimation using Landsat 5 TM data. Remote sensing. 2016 May;8(5):369. https://doi.org/10.3390/rs8050369 [Article] [DOI]
43. Coolbaugh MF, Kratt C, Fallacaro A, Calvin WM, Taranik JV. Detection of geothermal anomalies using advanced spaceborne thermal emission and reflection radiometer (ASTER) thermal infrared images at Bradys Hot Springs, Nevada, USA. Remote Sensing of Environment. 2007 Feb 15;106(3):350-9. https://doi.org/10.1016/j.rse.2006.09.001 [Article] [DOI]
44. Li C, Xu H. Automatic absolute radiometric normalization of satellite imagery with ENVI/IDL programming. In2009 2nd International Congress on Image and Signal Processing 2009 Oct 17 (pp. 1-4). IEEE. DOI: 10.1109/CISP.2009.5301591 [Article]
45. Fichera CR, Modica G, Pollino M. Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics. European journal of remote sensing. 2012 Jan 1;45(1):1-8. https://doi.org/10.5721/EuJRS20124501 [Article] [DOI]
46. Prakasam C. Land use and land cover change detection through remote sensing approach: A case study of Kodaikanal taluk, Tamil nadu. International journal of Geomatics and Geosciences. 2010 May 1;1(2):150. Available from: https://www.indianjournals.com/ijor.aspx?target=ijor:ijggs&volume=1&issue=4&article=014 [Article]
47. LIU CH. Analysis to driving forces of land use change in Lu'an mining area. Transactions of Nonferrous Metals Society of China. 2011 Dec 1;21:s727-32. https://doi.org/10.1016/S1003-6326(12)61670-7 [Article] [DOI]
48. Haibo Y, Longjiang D, Hengliang G, Jie Z. Tai’an land use analysis and prediction based on RS and Markov model. Procedia Environmental Sciences. 2011 Jan 1;10:2625-30. https://doi.org/10.1016/j.proenv.2011.09.408 [Article] [DOI]
49. Yiying YA, Dafang WU, Yanyan LI, Yihua LI, Qixian CH, Haolong CH, Jiaxin WU, Zhong J. Land Use Change and Driving Forces in Guangzhou City during 1996-2012. Asian Agricultural Research. 2015 Sep 1;7(9). Available from: https://ageconsearch.umn.edu/record/212540/?ln=en [Article]
50. Lambin EF, Geist HJ, Lepers E. Dynamics of land-use and land-cover change in tropical regions. Annual review of environment and resources. 2003 Nov;28(1):205-41. https://doi.org/10.1146/annurev.energy.28.050302.105459 [Article] [DOI]

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.