IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v22y2020i4d10.1007_s10668-019-00363-y.html
   My bibliography  Save this article

Can empirically based model results be fed into mathematical models? MCE for neural network and logistic regression in tourism landscape planning

Author

Listed:
  • Hamid Siroosi

    (Gorgan University of Agricultural Sciences and Natural Resources)

  • Gholamali Heshmati

    (Gorgan University of Agricultural Sciences and Natural Resources)

  • Abdolrassoul Salmanmahiny

    (Gorgan University of Agricultural Sciences and Natural Resources)

Abstract

A wide variety of mathematical and empirical models have been implemented as practical tools for land-use planning, and multilayer perceptron (MLP), logistic regression or LR (mathematical model) and multi-criteria evaluation or MCE (empirical) are among widely applied models. One of the main drawbacks of the mathematical models is that they require dependent data and the process of data collection can be so costly and time-consuming for large areas. As such, we investigated the possibility of providing dependent data set through the MCE method for tourism planning in Golestan Province, Iran. The accuracy of MCE-based algorithms was investigated using ground truth data collected during field observations from early spring up to late summer 2016. The MCE-based and ground-based outputs were investigated and compared for spatial accuracy and connectivity and compactness of the results using receiving operator characteristic (ROC) and landscape configuration metrics. ROC statistics were scored at 0.886, 0.834, 0.82 and 0.814 for ground-based MLP, ground-based LR, MCE-based MLP and MCE-based LR, respectively, showing no meaningful differences between MCE-based and ground-based methods in terms of spatial accuracy. Landscape metrics also indicated that MCE-based methods have resulted in a more connected and manageable pattern for tourism planning. According to the results of this study, MCE can serve as a preliminary approach to define field sampling spots or even as an alternative to field observation efforts in case of limited time and financial resources.

Suggested Citation

  • Hamid Siroosi & Gholamali Heshmati & Abdolrassoul Salmanmahiny, 2020. "Can empirically based model results be fed into mathematical models? MCE for neural network and logistic regression in tourism landscape planning," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3701-3722, April.
    • Handle: RePEc:spr:endesu:v:22:y:2020:i:4:d:10.1007_s10668-019-00363-y
    DOI: 10.1007/s10668-019-00363-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-019-00363-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-019-00363-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Janke, Jason R., 2010. "Multicriteria GIS modeling of wind and solar farms in Colorado," Renewable Energy, Elsevier, vol. 35(10), pages 2228-2234.
    2. Ceballos-Silva, Alejandro & Lopez-Blanco, Jorge, 2003. "Delineation of suitable areas for crops using a Multi-Criteria Evaluation approach and land use/cover mapping: a case study in Central Mexico," Agricultural Systems, Elsevier, vol. 77(2), pages 117-136, August.
    3. Koç, Cengiz & Bakış, Recep & Bayazıt, Yıldırım, 2017. "A study on assessing the domestic water resources, demands and its quality in holiday region of Bodrum Peninsula, Turkey," Tourism Management, Elsevier, vol. 62(C), pages 10-19.
    4. Gössling, Stefan & Peeters, Paul & Hall, C. Michael & Ceron, Jean-Paul & Dubois, Ghislain & Lehmann, La Vergne & Scott, Daniel, 2012. "Tourism and water use: Supply, demand, and security. An international review," Tourism Management, Elsevier, vol. 33(1), pages 1-15.
    5. Ridderstaat, Jorge & Oduber, Marck & Croes, Robertico & Nijkamp, Peter & Martens, Pim, 2014. "Impacts of seasonal patterns of climate on recurrent fluctuations in tourism demand: Evidence from Aruba," Tourism Management, Elsevier, vol. 41(C), pages 245-256.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Manijeh Talebi & Baris Majnounian & Majid Makhdoum & Ehsan Abdi & Mahmoud Omid, 2021. "Predicting areas with ecotourism capability using artificial neural networks and linear discriminant analysis (case study: Arasbaran Protected Area, Iran)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8272-8287, June.
    2. Woohyuk Kim & Sung-Bum Kim & Eunhye Park, 2021. "Mapping Tourists’ Destination (Dis)Satisfaction Attributes with User-Generated Content," Sustainability, MDPI, vol. 13(22), pages 1-16, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cengiz Koç & Yıldırım Bayazıt & Selami Yurdan Özgül, 2023. "Impact of tourists on urban water needs in Marmaris, Türkiye," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8837-8855, August.
    2. Nguyen Tan Phong & Huynh Tien, 2021. "Water resource management and island tourism development: insights from Phu Quoc, Kien Giang, Vietnam," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17835-17856, December.
    3. Vrînceanu, Alexandra & Dumitrașcu, Monica & Kucsicsa, Gheorghe, 2022. "Site suitability for photovoltaic farms and current investment in Romania," Renewable Energy, Elsevier, vol. 187(C), pages 320-330.
    4. Neupane, Deependra & Kafle, Sagar & Karki, Kaji Ram & Kim, Dae Hyun & Pradhan, Prajal, 2022. "Solar and wind energy potential assessment at provincial level in Nepal: Geospatial and economic analysis," Renewable Energy, Elsevier, vol. 181(C), pages 278-291.
    5. Sahoo, Somadutta & Zuidema, Christian & van Stralen, Joost N.P. & Sijm, Jos & Faaij, André, 2022. "Detailed spatial analysis of renewables’ potential and heat: A study of Groningen Province in the northern Netherlands," Applied Energy, Elsevier, vol. 318(C).
    6. Zhong, Qing & Tong, Daoqin, 2020. "Spatial layout optimization for solar photovoltaic (PV) panel installation," Renewable Energy, Elsevier, vol. 150(C), pages 1-11.
    7. Martínez-Martínez, Yenisleidy & Dewulf, Jo & Casas-Ledón, Yannay, 2022. "GIS-based site suitability analysis and ecosystem services approach for supporting renewable energy development in south-central Chile," Renewable Energy, Elsevier, vol. 182(C), pages 363-376.
    8. Finn, Thomas & McKenzie, Paul, 2020. "A high-resolution suitability index for solar farm location in complex landscapes," Renewable Energy, Elsevier, vol. 158(C), pages 520-533.
    9. Hernández-Escobedo, Q. & Rodríguez-García, E. & Saldaña-Flores, R. & Fernández-García, A. & Manzano-Agugliaro, F., 2015. "Solar energy resource assessment in Mexican states along the Gulf of Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 216-238.
    10. Mohammed Ifkirne & Houssam El Bouhi & Siham Acharki & Quoc Bao Pham & Abdelouahed Farah & Nguyen Thi Thuy Linh, 2022. "Multi-Criteria GIS-Based Analysis for Mapping Suitable Sites for Onshore Wind Farms in Southeast France," Land, MDPI, vol. 11(10), pages 1-26, October.
    11. Min Gon Chung & Tao Pan & Xintong Zou & Jianguo Liu, 2018. "Complex Interrelationships between Ecosystem Services Supply and Tourism Demand: General Framework and Evidence from the Origin of Three Asian Rivers," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    12. Dias, Luís & Gouveia, João Pedro & Lourenço, Paulo & Seixas, Júlia, 2019. "Interplay between the potential of photovoltaic systems and agricultural land use," Land Use Policy, Elsevier, vol. 81(C), pages 725-735.
    13. Tribe, John & Paddison, Brendan, 2023. "Critical tourism strategy," Annals of Tourism Research, Elsevier, vol. 98(C).
    14. Ali, Shahid & Taweekun, Juntakan & Techato, Kuaanan & Waewsak, Jompob & Gyawali, Saroj, 2019. "GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand," Renewable Energy, Elsevier, vol. 132(C), pages 1360-1372.
    15. Roberto Roson & Martina Sartori, 2012. "Climate Change, Tourism and Water Resources in the Mediterranean:a General Equilibrium Analysis," Working Papers 2012_05, Department of Economics, University of Venice "Ca' Foscari".
    16. Baseer, M.A. & Rehman, S. & Meyer, J.P. & Alam, Md. Mahbub, 2017. "GIS-based site suitability analysis for wind farm development in Saudi Arabia," Energy, Elsevier, vol. 141(C), pages 1166-1176.
    17. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
    18. Yasir Ahmed Solangi & Qingmei Tan & Muhammad Waris Ali Khan & Nayyar Hussain Mirjat & Ifzal Ahmed, 2018. "The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application," Energies, MDPI, vol. 11(8), pages 1-26, July.
    19. Wei Fang & Cheng Yang & Dengfeng Liu & Qiang Huang & Bo Ming & Long Cheng & Lu Wang & Gang Feng & Jianan Shang, 2023. "Assessment of Wind and Solar Power Potential and Their Temporal Complementarity in China’s Northwestern Provinces: Insights from ERA5 Reanalysis," Energies, MDPI, vol. 16(20), pages 1-23, October.
    20. Annie Tubadji & Peter Nijkamp, 2018. "Revisiting the Balassa–Samuelson effect: International tourism and cultural proximity," Tourism Economics, , vol. 24(8), pages 915-944, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:22:y:2020:i:4:d:10.1007_s10668-019-00363-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.