IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i7p2263-d155537.html
   My bibliography  Save this article

Seasonal Spatial Activity Patterns of Visitors with a Mobile Exercise Application at Seoraksan National Park, South Korea

Author

Listed:
  • Jinwon Kim

    (Department of Tourism, Recreation and Sport Management, University of Florida, Gainesville, FL 32611-8208, USA)

  • Brijesh Thapa

    (Department of Tourism, Recreation and Sport Management, University of Florida, Gainesville, FL 32611-8208, USA)

  • Seongsoo Jang

    (Cardiff Business School, College of Arts, Humanities & Social Sciences, Cardiff University, Aberconway Building, Colum Drive, Cardiff CF10 3EU, UK)

  • Eunjung Yang

    (Department of Tourism, Recreation and Sport Management, University of Florida, Gainesville, FL 32611-8208, USA)

Abstract

Visitors’ behavior in national parks can be influenced by seasonal variations in climate and preferred activities. Seasonality can produce different space consumption patterns, and impact visitor experience and natural resource use. The purpose of this study was to explore the seasonal spatial patterns of visitors’ activities using a mobile exercise application within the context of Seoraksan National Park in South Korea. A dataset composed of 5142 starting and ending points of 2639 activities (hiking and walking) created by 1206 mobile exercise application users (January–December 2015) were collected from a leading mobile exercise application operator. GIS-based spatial analytical techniques were used to analyze the spatial patterns of activity points across seasons and days (weekdays/weekends). Results indicated considerable seasonal and daily variations in activity distribution and hot spots (i.e., locations of potential congestion or crowding). The findings enable park managers to mitigate negative impacts to natural resources as well as enhance visitors’ experiences. Also, it allows potential visitors to decide when to visit certain sites via mobile application to ensure optimal conditions. Furthermore, the GPS-based exercise mobile application can be used as a new methodological approach to understand spatio-temporal patterns of visitors’ behavior within national parks and other natural protected areas.

Suggested Citation

  • Jinwon Kim & Brijesh Thapa & Seongsoo Jang & Eunjung Yang, 2018. "Seasonal Spatial Activity Patterns of Visitors with a Mobile Exercise Application at Seoraksan National Park, South Korea," Sustainability, MDPI, vol. 10(7), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2263-:d:155537
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/7/2263/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/7/2263/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Moyle, Brent D. & Scherrer, Pascal & Weiler, Betty & Wilson, Erica & Caldicott, Rod & Nielsen, Noah, 2017. "Assessing preferences of potential visitors for nature-based experiences in protected areas," Tourism Management, Elsevier, vol. 62(C), pages 29-41.
    2. Yang, Byungyun & Madden, Marguerite & Kim, Jinwon & Jordan, Thomas R., 2012. "Geospatial analysis of barrier island beach availability to tourists," Tourism Management, Elsevier, vol. 33(4), pages 840-854.
    3. Seongsoo Jang & Jinwon Kim & Max von Zedtwitz, 2017. "The importance of spatial agglomeration in product innovation: A microgeography perspective," Post-Print hal-02004347, HAL.
    4. Massimo Craglia & Robert Haining & Paul Wiles, 2000. "A Comparative Evaluation of Approaches to Urban Crime Pattern Analysis," Urban Studies, Urban Studies Journal Limited, vol. 37(4), pages 711-729, April.
    5. Orellana, Daniel & Bregt, Arnold K. & Ligtenberg, Arend & Wachowicz, Monica, 2012. "Exploring visitor movement patterns in natural recreational areas," Tourism Management, Elsevier, vol. 33(3), pages 672-682.
    6. Chaminuka, P. & Groeneveld, R.A. & Selomane, A.O. & van Ierland, E.C., 2012. "Tourist preferences for ecotourism in rural communities adjacent to Kruger National Park: A choice experiment approach," Tourism Management, Elsevier, vol. 33(1), pages 168-176.
    7. Andrew Balmford & Jonathan M H Green & Michael Anderson & James Beresford & Charles Huang & Robin Naidoo & Matt Walpole & Andrea Manica, 2015. "Walk on the Wild Side: Estimating the Global Magnitude of Visits to Protected Areas," PLOS Biology, Public Library of Science, vol. 13(2), pages 1-6, February.
    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. Tiantian Zhang & Weicheng Hua & Yannan Xu, 2019. "“Seeing” or “Being Seen”: Research on the Sight Line Design in the Lion Grove Based on Visitor Temporal–Spatial Distribution and Space Syntax," Sustainability, MDPI, vol. 11(16), pages 1-13, August.
    2. Jing Wu & Changlong Ling & Xinzhuo Li, 2019. "Study on the Accessibility and Recreational Development Potential of Lakeside Areas Based on Bike-Sharing Big Data Taking Wuhan City as an Example," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    3. Dehui Christina Geng & John L. Innes & Wanli Wu & Weiwei Wang & Guangyu Wang, 2021. "Seasonal Variation in Visitor Satisfaction and Its Management Implications in Banff National Park," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    4. Mladen Jurišić & Ivan Plaščak & Željko Rendulić & Dorijan Radočaj, 2023. "GIS-Based Visitor Count Prediction and Environmental Susceptibility Zoning in Protected Areas: A Case Study in Plitvice Lakes National Park, Croatia," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    5. Ante Mandić, 2020. "Structuring challenges of sustainable tourism development in protected natural areas with driving force–pressure–state–impact–response (DPSIR) framework," Environment Systems and Decisions, Springer, vol. 40(4), pages 560-576, December.

    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. Laiqun Jin & Xiuyan Liu & Sam Hak Kan Tang, 2021. "High-Technology Zones, Misallocation of Resources among Cities and Aggregate Productivity: Evidence from China," Economics Discussion / Working Papers 21-11, The University of Western Australia, Department of Economics.
    2. An, Wookhyun & Alarcón, Silverio, 2021. "Rural tourism preferences in Spain: Best-worst choices," Annals of Tourism Research, Elsevier, vol. 89(C).
    3. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    4. Ferretti, Marco & Guerini, Massimiliano & Panetti, Eva & Parmentola, Adele, 2022. "The partner next door? The effect of micro-geographical proximity on intra-cluster inter-organizational relationships," Technovation, Elsevier, vol. 111(C).
    5. Socrat Ghadban & Maya Shames & Jad Abou Arrage & Amal Abou Fayyad, 2017. "Rural tourism in Lebanon: what does the market reveal?," CEPN Working Papers 2017-19, Centre d'Economie de l'Université de Paris Nord.
    6. Radisti A. Praptiwi & Carya Maharja & Matt Fortnam & Tomas Chaigneau & Louisa Evans & Leuserina Garniati & Jito Sugardjito, 2021. "Tourism-Based Alternative Livelihoods for Small Island Communities Transitioning towards a Blue Economy," Sustainability, MDPI, vol. 13(12), pages 1-11, June.
    7. 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.
    8. Tzu-Ming Liu & Chia-Mei Tien, 2019. "Assessing Tourists’ Preferences of Negative Externalities of Environmental Management Programs: A Case Study on Invasive Species in Shei-Pa National Park, Taiwan," Sustainability, MDPI, vol. 11(10), pages 1-11, May.
    9. Chakravarty, Dwarka & Goerzen, Anthony & Musteen, Martina & Ahsan, Mujtaba, 2021. "Global cities: A multi-disciplinary review and research agenda," Journal of World Business, Elsevier, vol. 56(3).
    10. Heagney, E.C. & Rose, J.M. & Ardeshiri, A. & Kovac, M., 2019. "The economic value of tourism and recreation across a large protected area network," Land Use Policy, Elsevier, vol. 88(C).
    11. James McGinlay & Jens Holtvoeth & Alfie Begley & Juliana Dörstel & Anne Kockelmann & Michael Lammertz & Chrysovalantis Malesios & Nikoleta Jones, 2023. "Perceived Social Impacts of Protected Areas, Their Influence on Local Public Support and Their Distribution across Social Groups: Evidence from the Eifel National Park, Germany, during the COVID-19 Pa," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    12. Lei Xiong & Cheng-Lein Teng & Bo-Wei Zhu & Gwo-Hshiung Tzeng & Shan-Lin Huang, 2017. "Using the D-DANP-mV Model to Explore the Continuous System Improvement Strategy for Sustainable Development of Creative Communities," IJERPH, MDPI, vol. 14(11), pages 1-37, October.
    13. Yingying Qiu & Dan He & Zhe Xu & Xiaoliang Shi, 2023. "The Role of the Forest Recreation Industry in China’s National Economy: An Input–Output Analysis," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    14. Nguyen, Minh-Hoang, 2023. "Investigating urban residents' involvement in biodiversity conservation in protected areas: Empirical evidence from Vietnam," Thesis Commons z2hjv, Center for Open Science.
    15. Kinga Kostrakiewicz-Gierałt & Artur Pliszko & Katarzyna Gmyrek-Gołąb, 2020. "The Effect of Visitors on the Properties of Vegetation of Calcareous Grasslands in the Context of Width and Distances from Tourist Trails," Sustainability, MDPI, vol. 12(2), pages 1-28, January.
    16. Zheng, Weimin & Huang, Xiaoting & Li, Yuan, 2017. "Understanding the tourist mobility using GPS: Where is the next place?," Tourism Management, Elsevier, vol. 59(C), pages 267-280.
    17. Guimarães, Maria Helena & Nunes, Luís Catela & Madureira, Lívia & Santos, José Lima & Boski, Tomasz & Dentinho, Tomaz, 2015. "Measuring birdwatchers preferences: A case for using online networks and mixed-mode surveys," Tourism Management, Elsevier, vol. 46(C), pages 102-113.
    18. Cheng Zong & Kun Cheng & Chun-Hung Lee & Nai-Lun Hsu, 2017. "Capturing Tourists’ Preferences for the Management of Community-Based Ecotourism in a Forest Park," Sustainability, MDPI, vol. 9(9), pages 1-16, September.
    19. Weaver, David B. & Lawton, Laura J., 2017. "A new visitation paradigm for protected areas," Tourism Management, Elsevier, vol. 60(C), pages 140-146.
    20. Vu, Huy Quan & Li, Gang & Law, Rob & Ye, Ben Haobin, 2015. "Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos," Tourism Management, Elsevier, vol. 46(C), pages 222-232.

    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:gam:jsusta:v:10:y:2018:i:7:p:2263-:d:155537. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.