Skip to main content

Advertisement

SpringerLink
Log in

Suitability assessment of urban land use in Dalian, China using PNN and GIS

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

The suitability assessment of land use is crucial to avoid wasting land resources. However, the traditional methods with subjective weights are prone to reduce the reasonability and reliability of assessment. For filling this knowledge gap, the probability neural network (PNN) coupled with GIS was adopted to evaluate the land use suitability in this paper. According to the applications of the urban land resource, the land use was divided into three types (resident, industry and ecological reserve). Thus, the three different assessment criteria systems were built for the three land use types. The result of residential land use indicated that the most suitable, suitable and normal suitable residential land were 401, 272 and 12,406 km2 and mainly located in Changhai, Lvshun and Pulandian accordingly. The most suitable land for industry was in Ganjingzi, Jinzhou and Wafangdian and accounted for 22% of the total area. While the most suitable land for ecological reserve was in Pulandian and Zhuanghe with the area of 1967 km2. The results indicated that the south of Dalian was suitable for the residential land use, north of Dalian was suitable for the ecological land use and the central was suitable for industrial land use. The results were coincided to the actual spatial distribution of land use. The proposed PNN coupled with GIS assessment method in suitability of land use is conducted to provide a more reasonable assessment result that can be used by managers and regulators.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Ahmadi FF, Layegh NF (2015) Integration of artificial neural network and geographical information system for intelligent assessment of land suitability for the cultivation of a selected crop. Neural Comput Appl 26:1311–1320

    Article  Google Scholar 

  • Akinci H, Ozalp AY, Turgut B (2013) Agricultural land use suitability analysis using GIS and AHP technique. Comp Electronics Agri 97:71–82

    Article  Google Scholar 

  • Akyol E, Kaya A, Alkan M (2016) Geotechnical land suitability assessment using spatial multi-criteria decision analysis. Arab J Geosci 9:498–509

    Article  Google Scholar 

  • Al-Yahyai S, Charabi Y, Gastli A, Al-Badi A (2012) Wind farm land suitability indexing using multi-criteria analysis. Renew Energy 44:80–87

    Article  Google Scholar 

  • Aydi A, Abichou T, Nasr IH, Louati M, Zairi M (2016) Assessment of land suitability for olive mill wastewater disposal site selection by integrating fuzzy logic, AHP, and WLC in a GIS. Environ Monitoring Assess 188:59–71

    Article  Google Scholar 

  • Azizi A, Malekmohammadi B, Jafari HR, Nasiri H, Parsa VA (2014) Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: case study of Ardabil province. Iran Environ Monitoring Assess 186:6695–6709

    Article  Google Scholar 

  • Bagdanaviciute I, Valiunas J (2013) GIS-based land suitability analysis integrating multi-criteria evaluation for the allocation of potential pollution sources. Environ Earth Sci 68:1797–1812

    Article  Google Scholar 

  • Bagheri M, Sulaiman WNA, Vaghefi N (2013) Application of geographic information system technique and analytical hierarchy process model for land use suitability analysis on coastal area. J Coastal Conserv 17:1–10

    Article  Google Scholar 

  • Baiocchi V, Lelo K, Polettini A, Pomi R (2014) Land suitability for waste disposal in metropolitan areas. Waste Manage Res 32:707–716

    Article  Google Scholar 

  • Baloye DO, Palamuleni LG (2015) A comparative land use-based analysis of noise pollution levels in selected Urban Centers of Nigeria. Int J Env Res Pub He 12:12225–12246

    Article  Google Scholar 

  • Bandyopadhyay S, Jaiswal RK, Hegde VS, Jayaraman V (2009) Assessment of land suitability potentials for agriculture using a remote sensing and GIS based approach. Int J Remote Sensing 30:879–895

    Article  Google Scholar 

  • Bozdag A, Yavuz F, Gunay AS (2016) AHP and GIS based land suitability analysis for Cihanbeyli (Turkey) County. Environ Earth Sci 75:813–827

    Article  Google Scholar 

  • Cerreta M, De Toro P (2012) Urbanization suitability maps: a dynamic spatial decision support system for sustainable land use. Earth Syst Dyn 3:157–171

    Article  Google Scholar 

  • Chen Y, Yu J, Khan S (2010) Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation. Environ Model Softw 25:1582–1591

    Article  Google Scholar 

  • Chi G, Liu Y, Wu Z, Wu H (2015) Ghost cities analysis based on positioning data in China. Comp Sci 68:1150–1156

    Google Scholar 

  • El Baroudy AA (2016) Mapping and evaluating land suitability using a GIS-based model. CATENA 140:96–104

    Article  Google Scholar 

  • Ferretti V, Pomarico S (2013) Ecological land suitability analysis through spatial indicators: an application of the analytic network process technique and ordered eeighted average approach. Ecol Indicators 34:507–519

    Article  Google Scholar 

  • Humphries HC, Bourgeron PS, Reynolds KM (2010) Sensitivity analysis of land unit suitability for conservation using a knowledge-based system. Environ Manage 46:225–236

    Article  Google Scholar 

  • Javadian M, Shamskooshki H, Momeni M (2011) Application of sustainable urban development in environmental suitability analysis of educational land use by using AHP and GIS in Tehran. In: Secondini P, Wu X, Tondelli S, Wu J, Xie H (eds) 2011 International conference on green buildings and sustainable cities. Elsevier, Amsterdam, pp 72–80

    Google Scholar 

  • Jin G, Li ZH, Lin QW, Shi CC, Liu B, Yao LN (2015) Land use suitability assessment in low-slope hilly regions under the impact of urbanization in Yunnan, China. Adv Meteorol 2015. https://doi.org/10.1155/2015/848795

  • Jun C, Ban Y, Li S (2014) Open access to earth land-cover map. Nature 514:434–434

    Article  Google Scholar 

  • Khalili-Damghani K, Aminzadeh-Goharrizi B, Rastegar S, Aminzadeh-Goharrizi B (2014) Solving land use suitability analysis and planning problem by a hybrid meta-heuristic algorithm. Int J Geogr Inf Sci 28:2390–2416

    Article  Google Scholar 

  • Kong CF, Lan H, Yang G, Xu K (2016) Geo-environmental suitability assessment for agricultural land in the rural-urban fringe using BPNN and GIS: a case study of Hangzhou. Environ Earth Sci 75:1136–1149

    Article  Google Scholar 

  • Lee JW, Kim SH (2000) Using analytic network process and goal programming for interdependent information system project selection. Comput Oper Res 27:367–382

    Article  Google Scholar 

  • Ligmann-Zielinska A, Jankowski P (2014) Spatially-explicit integrated uncertainty and sensitivity analysis of criteria weights in multicriteria land suitability evaluation. Environ Modell Softw 57:235–247

    Article  Google Scholar 

  • Liu RZ, Zhang K, Zhang ZJ, Borthwick AGL (2014) Land-use suitability analysis for urban development in Beijing. J Environ Manage 145:170–179

    Article  Google Scholar 

  • Malmir M, Zarkesh MMK, Monavari SM, Jozi SA, Sharifi E (2016) Analysis of land suitability for urban development in Ahwaz County in southwestern Iran using fuzzy logic and analytic network process (ANP). Environ Monit Assess 188:447–469

    Article  Google Scholar 

  • Marquez LO, Smith NC (1999) A framework for linking urban form and air quality. Environ Model Softw 14:541–548

    Article  Google Scholar 

  • Mcharg IL (1969) Design with nature. Natural History.

  • Montgomery B, Dragicevic S, Dujmovic J, Schmidt M (2016) A GIS-based logic scoring of preference method for evaluation of land capability and suitability for agriculture. Comput Electron Agri 124:340–353

    Article  Google Scholar 

  • Noorollahi E, Fadai D, Shirazi MA, Ghodsipour SH (2016) Land suitability analysis for solar farms exploitation using GIS and Fuzzy Analytic Hierarchy Process (FAHP)-a case study of Iran. Energies 9. https://doi.org/10.3390/en9080643

  • NTPDC (2000) SRTM DEM dataset in China (2000).

  • Park S, Jeon S, Kim S, Choi C (2011) Prediction and comparison of urban growth by land suitability index mapping using GIS and RS in South Korea. Landsc Urban Plan 99:104–114

    Article  Google Scholar 

  • Passuello A, Kumar V, Cadiach O, Schuhmacher M (2014) Bayesian network application to land suitability classification in the sewage sludge amendment of agricultural soils. Human Ecol Risk Assess 20:1077–1098

    Article  Google Scholar 

  • Pourebrahim S, Hadipour M, Bin Mokhtar M (2011) Integration of spatial suitability analysis for land use planning in coastal areas; case of Kuala Langat District, Selangor, Malaysia. Landsc Urban Plan 101:84–97

    Article  Google Scholar 

  • Sakieh Y, Salmanmahiny A (2016) Treating a cancerous landscape: implications from medical sciences for urban and landscape planning in a developing region. Habitat Int 55:180–191

    Article  Google Scholar 

  • Sani NA, Kafaky SB, Pukkala T, Mataji A (2016) Integrated use of GIS, remote sensing and multi-criteria decision analysis to assess ecological land suitability in multi-functional forestry. J Forest Res 27:1127–1135

    Article  Google Scholar 

  • Soltani SR, Mahiny AS, Monavari SM, Alesheikh AA (2013) Sustainability through uncertainty management in urban land suitability assessment. Environ Eng Sci 30:170–178

    Article  Google Scholar 

  • (UNEP) UNPF (2007) UNFPA state of world population 2007: unleashing the potential of urban growth, http://www.unfpa.org/swp/S.

  • Wang X, Su C, Peng L, Wang H, Wang H, Li P, Fang Y (2014) Ecological suitability assessment and introduction experiment on Rosa damascena trigintipetala in Sichuan Province, China. J Mt Sci 11:805–815

    Article  Google Scholar 

  • Xu K, Kong CF, Li JF, Zhang LQ, Wu CL (2011) Suitability evaluation of urban construction land based on geo-environmental factors of Hangzhou, China. Comp Geosci 37:992–1002

    Article  Google Scholar 

  • Yalew SG, van Griensven A, van der Zaag P (2016) AgriSuit: a web-based GIS-MCDA framework for agricultural land suitability assessment. Comp Electron Agric 128:1–8

    Article  Google Scholar 

  • Yang F, Zeng GM, Du CY, Tang L, Zhou JF, Li ZW (2009) Integrated geographic information systems-based suitability evaluation of urban land expansion: a combination of analytic hierarchy process and gray relational analysis. Environ Eng Sci 26:1025–1032

    Article  Google Scholar 

  • Zhang XR, Fang CL, Wang ZB, Ma HT (2013) Urban construction land suitability evaluation based on improved multi-criteria evaluation based on GIS (MCE-GIS): case of New Hefei City, China. Chin Geogr Sci 23:740–753

    Article  Google Scholar 

  • Zolekar RB, Bhagat VS (2015) Multi-criteria land suitability analysis for agriculture in hilly zone: remote sensing and GIS approach. Comp Electron Agric 118:300–321

    Article  Google Scholar 

Download references

Acknowledgements

This work is financially supported by Science Foundation of Jilin Province (no. 20180520101JH). We thank to Dr. Junnian Song, Dr. Wei Yang and Dr. Xian'En Wang for their work on the manuscript.

Author information

Authors and Affiliations

  1. College of New Energy and Environment, Jilin University, Changchun, 130012, China

    Ziqian Kang & Shuo Wang

  2. College of Environmental Science and Engineering, Nankai University, Jinnan District, #38, Tongyan Road, Haihe Education Park, Tianjin, 300350, People’s Republic of China

    Ziqian Kang

  3. Key Laboratory of Industrial Ecology and Environmental Engineering (China Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Linggong Road 2, Dalian, 116024, People’s Republic of China

    Ling Xu, Fenglin Yang & Shushen Zhang

  4. Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, 130021, Changchun, People’s Republic of China

    Shuo Wang

Authors
  1. Ziqian Kang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shuo Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ling Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fenglin Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Shushen Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

ZK collected data and calculated results. SW designed the whole study and constructed the model. LX conceptualized the research framework. FY revised the manuscript and recalibrate the model. SZ proofread and revised the manuscript.

Corresponding author

Correspondence to Shuo Wang.

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

Kang, Z., Wang, S., Xu, L. et al. Suitability assessment of urban land use in Dalian, China using PNN and GIS. Nat Hazards 106, 913–936 (2021). https://doi.org/10.1007/s11069-020-04500-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-020-04500-z

Keywords

Search

Navigation