IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13327-d944370.html
   My bibliography  Save this article

Daily Behavior Characteristics and Environmental Symbiosis Mechanism of Village Residents in Alpine Pastoral Areas: Meiwu Village, Gannan Tibetan Autonomous Prefecture

Author

Listed:
  • Wei Li

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Institute of Urban Planning and Tourism Landscape Design, Northwest Normal University, Lanzhou 730070, China)

  • Yujia Ma

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Jianwu Qi

    (Department of Tourism Management, South China University of Technology, Key Laboratory of Digital Rural and Cultural Tourism Sustainable Development, Guangdong Tourism Strategy and Policy Research Center, Guangzhou 510006, China)

  • Jianping Jiao

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

Abstract

The characteristics of the daily behaviors of village residents and their symbiotic relationship with the environment play important roles in optimizing the spatial configuration of villages and promoting the sustainable development of the villages and the environment. This paper used the questionnaire survey method and the field observation method, collected the data of different residents’ activities by interviews and surveys in Meiwu Village, Gannan Prefecture, and analyzed the characteristics of the local residents’ behaviors and activities, as well as their interaction with spaces from the perspective of time. The results showed that the types of daily activities of village residents in alpine pastoral areas can be divided into four types: life type, survival type, leisure type, and folk type, and there were significant differences in the types of daily activities and the corresponding spaces of the different groups. Residents’ daily behaviors determine the choice and construction of the village spaces, and residents lifestyles promote the functional transformation of the living spaces. On the other hand, the village spaces can also affect the behavioral activities. This study is helpful to improve the method of evaluating the daily living spaces of pastoral villages based on residents’ behaviors, and the conclusion of the empirical study has certain guiding significance for the rural planning of alpine pastoral areas under the humanistic concept.

Suggested Citation

  • Wei Li & Yujia Ma & Jianwu Qi & Jianping Jiao, 2022. "Daily Behavior Characteristics and Environmental Symbiosis Mechanism of Village Residents in Alpine Pastoral Areas: Meiwu Village, Gannan Tibetan Autonomous Prefecture," Sustainability, MDPI, vol. 14(20), pages 1-21, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13327-:d:944370
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13327/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/20/13327/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas Klinger & Martin Lanzendorf, 2016. "Moving between mobility cultures: what affects the travel behavior of new residents?," Transportation, Springer, vol. 43(2), pages 243-271, March.
    2. McQuoid, Julia & Dijst, Martin, 2012. "Bringing emotions to time geography: the case of mobilities of poverty," Journal of Transport Geography, Elsevier, vol. 23(C), pages 26-34.
    3. Marlon G. Boarnet & Sharon Sarmiento, 1998. "Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics," Urban Studies, Urban Studies Journal Limited, vol. 35(7), pages 1155-1169, June.
    Full references (including those not matched with items on IDEAS)

    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. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    2. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    3. Xiaoquan Wang & Chunfu Shao & Chaoying Yin & Chengxiang Zhuge & Wenjun Li, 2018. "Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun," Sustainability, MDPI, vol. 10(2), pages 1-15, February.
    4. Hopkins, Debbie & Stephenson, Janet, 2016. "The replication and reduction of automobility: Findings from Aotearoa New Zealand," Journal of Transport Geography, Elsevier, vol. 56(C), pages 92-101.
    5. Cynthia Chen & Hongmian Gong & Robert Paaswell, 2008. "Role of the built environment on mode choice decisions: additional evidence on the impact of density," Transportation, Springer, vol. 35(3), pages 285-299, May.
    6. Tim Schwanen & Patricia L Mokhtarian, 2004. "The Extent and Determinants of Dissonance between Actual and Preferred Residential Neighborhood Type," Environment and Planning B, , vol. 31(5), pages 759-784, October.
    7. Sheng, Lu & Wu, Xiao & He, Yan, 2023. "Impact of residential relocation on activity-travel behaviors between household couples: A case study of Kunming, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    8. Dominic Villeneuve & David Durán-Rodas & Anthony Ferri & Tobias Kuttler & Julie Magelund & Michael Mögele & Luca Nitschke & Eriketti Servou & Cat Silva, 2019. "What is Interdisciplinarity in Practice? Critical Reflections on Doing Mobility Research in an Intended Interdisciplinary Doctoral Research Group," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    9. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    10. Joachim Scheiner & Christian Holz-Rau, 2007. "Travel mode choice: affected by objective or subjective determinants?," Transportation, Springer, vol. 34(4), pages 487-511, July.
    11. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.
    12. Næss, Petter & Peters, Sebastian & Stefansdottir, Harpa & Strand, Arvid, 2018. "Causality, not just correlation: Residential location, transport rationales and travel behavior across metropolitan contexts," Journal of Transport Geography, Elsevier, vol. 69(C), pages 181-195.
    13. Xinyu Cao & Patricia L. Mokhtarian, 2012. "The connections among accessibility, self- selection and walking behaviour: a case study of Northern California residents," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 5, pages 73-95, Edward Elgar Publishing.
    14. Doddamani, Chetan & Manoj, M. & Maurya, Yashasvi, 2021. "Geographical scale of residential relocation and its impacts on vehicle ownership and travel behavior," Journal of Transport Geography, Elsevier, vol. 94(C).
    15. Lee, Sungwon & Lee, Bumsoo, 2014. "The influence of urban form on GHG emissions in the U.S. household sector," Energy Policy, Elsevier, vol. 68(C), pages 534-549.
    16. Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
    17. Pierre Filion, 2001. "Suburban Mixed-Use Centres and Urban Dispersion: What Difference do they Make?," Environment and Planning A, , vol. 33(1), pages 141-160, January.
    18. Bagley, Michael N, 1999. "Incorporating Residential Choice into Travel Behavior-Land Use Interaction Research: A Conceptual Model with Methodologies for Investigating Causal Relationships," University of California Transportation Center, Working Papers qt2ws1x83f, University of California Transportation Center.
    19. McDonald, Noreen C., 2005. "Children’s Travel: Patterns and Influences," University of California Transportation Center, Working Papers qt51c9m01c, University of California Transportation Center.
    20. Neatt, Kevin & Millward, Hugh & Spinney, Jamie, 2017. "Neighborhood walking densities: A multivariate analysis in Halifax, Canada," Journal of Transport Geography, Elsevier, vol. 61(C), pages 9-16.

    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:14:y:2022:i:20:p:13327-:d:944370. 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.