IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i22p14752-d968202.html
   My bibliography  Save this article

The Impact of the Urban Built Environment on the Play Behavior of Children with ASD

Author

Listed:
  • Shengzhen Wu

    (College of Arts and Design, Jimei University, Xiamen 361000, China)

  • Chen Pan

    (School of Art and Design, Guangdong University of Petrochemical Technology, Maoming 525000, China)

  • Lihao Yao

    (College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524000, China
    School of Architecture and Urban Planning, Zhuhai College of Science and Technology, Zhuhai 519041, China)

  • Xiaojing Wu

    (Department of Economic Management, Fujian Economic and Trade School, Quanzhou 362000, China)

Abstract

Anxiety caused by the lack of social skills is the biggest problem faced by children with ASD. Playing can improve children’s social skills and relieve anxiety. This study aimed to explore the influence of urban built environments on ASD children’s play behavior. The participants in this study were 57 parents of children with ASD. An anonymous questionnaire was used to collect and analyze data. At the same time, retrospective semi-structured interviews with 31 parents of ASD children were performed to validate the data analysis results. The results showed that lower residential building density, higher residential greening and higher destination accessibility have positive effects on ASD children’s play behavior. Excellent transportation facilities and high NDVI vegetation coverage have positive effects on the play behavior of children with ASD. More recreational facilities and recreational playability have positive impacts on the play behavior of children with ASD. The population density and number of children in the destination, as well as public facilities, influence the play behavior of children with ASD. The research results can promote the integration of this group into urban life and further promote social equity. At the same time, with the social needs of autistic children as an intermediary, it is expected to further explore new directions for sustainable urban development. Finally, combined with the research results, parents of ASD children are given proposals for how to increase the likelihood of children’s play behavior by choosing appropriate urban built environments.

Suggested Citation

  • Shengzhen Wu & Chen Pan & Lihao Yao & Xiaojing Wu, 2022. "The Impact of the Urban Built Environment on the Play Behavior of Children with ASD," IJERPH, MDPI, vol. 19(22), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14752-:d:968202
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/22/14752/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/22/14752/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fengfeng Ke & Tami Im, 2013. "Virtual-Reality-Based Social Interaction Training for Children with High-Functioning Autism," The Journal of Educational Research, Taylor & Francis Journals, vol. 106(6), pages 441-461, November.
    2. Broberg, Anna & Sarjala, Satu, 2015. "School travel mode choice and the characteristics of the urban built environment: The case of Helsinki, Finland," Transport Policy, Elsevier, vol. 37(C), pages 1-10.
    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. Sharmin, Samia & Kamruzzaman, Md. & Haque, Md Mazharul, 2020. "The impact of topological properties of built environment on children independent mobility: A comparative study between discretionary vs. nondiscretionary trips in Dhaka," Journal of Transport Geography, Elsevier, vol. 83(C).
    2. María Jesús Aranda-Balboa & Francisco Javier Huertas-Delgado & Patricia Gálvez-Fernández & Romina Saucedo-Araujo & Daniel Molina-Soberanes & Pablo Campos-Garzón & Manuel Herrador-Colmenero & Amador Je, 2022. "The Effect of a School-Based Intervention on Children’s Cycling Knowledge, Mode of Commuting and Perceived Barriers: A Randomized Controlled Trial," IJERPH, MDPI, vol. 19(15), pages 1-14, August.
    3. Chica-Olmo, Jorge & Rodríguez-López, Carlos & Chillón, Palma, 2018. "Effect of distance from home to school and spatial dependence between homes on mode of commuting to school," Journal of Transport Geography, Elsevier, vol. 72(C), pages 1-12.
    4. Xiaofeng Ji & Haotian Guan & Mengyuan Lu & Fang Chen & Wenwen Qin, 2022. "International Research Progress in School Travel and Behavior: A Literature Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(14), pages 1-25, July.
    5. Dias, Charitha & Abdullah, Muhammad & Lovreglio, Ruggiero & Sachchithanantham, Sumana & Rekatheeban, Markkandu & Sathyaprasad, I.M.S., 2022. "Exploring home-to-school trip mode choices in Kandy, Sri Lanka," Journal of Transport Geography, Elsevier, vol. 99(C).
    6. Sharmin, Samia & Kamruzzaman, Md., 2017. "Association between the built environment and children's independent mobility: A meta-analytic review," Journal of Transport Geography, Elsevier, vol. 61(C), pages 104-117.
    7. Moses Isiagi & Kufre Joseph Okop & Estelle Victoria Lambert, 2021. "The Relationship between Physical Activity and the Objectively-Measured Built Environment in Low- and High-Income South African Communities," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    8. Khaled J. Assi & Md Shafiullah & Kh Md Nahiduzzaman & Umer Mansoor, 2019. "Travel-To-School Mode Choice Modelling Employing Artificial Intelligence Techniques: A Comparative Study," Sustainability, MDPI, vol. 11(16), pages 1-12, August.
    9. Albina Nesterova & Rimma Aysina & Tatjana Suslova, 2015. "Recent Technologies to Improving Social and Communication Skills in Children with ASD: Systematization of Approaches and Methods," Modern Applied Science, Canadian Center of Science and Education, vol. 9(11), pages 1-38, October.
    10. Ikeda, Erika & Mavoa, Suzanne & Hinckson, Erica & Witten, Karen & Donnellan, Niamh & Smith, Melody, 2018. "Differences in child-drawn and GIS-modelled routes to school: Impact on space and exposure to the built environment in Auckland, New Zealand," Journal of Transport Geography, Elsevier, vol. 71(C), pages 103-115.
    11. Houshmand Masoumi & Martin van Rooijen & Grzegorz Sierpiński, 2020. "Children’s Independent Mobility to School in Seven European Countries: A Multinomial Logit Model," IJERPH, MDPI, vol. 17(23), pages 1-21, December.
    12. Tessa Pocock & Antoni Moore & Javier Molina-García & Ana Queralt & Sandra Mandic, 2020. "School Neighbourhood Built Environment Assessment for Adolescents’ Active Transport to School: Modification of an Environmental Audit Tool and Protocol (MAPS Global-SN)," IJERPH, MDPI, vol. 17(7), pages 1-17, March.
    13. Silvia A. González & Salomé Aubert & Joel D. Barnes & Richard Larouche & Mark S. Tremblay, 2020. "Profiles of Active Transportation among Children and Adolescents in the Global Matrix 3.0 Initiative: A 49-Country Comparison," IJERPH, MDPI, vol. 17(16), pages 1-29, August.
    14. Hugo Bois, 2016. "A new behavioral framework to analyze preference construction and decision processes within the modal choice," Working Papers 1608, Chaire Economie du climat.
    15. Sarjala, Satu, 2019. "Built environment determinants of pedestrians’ and bicyclists’ route choices on commute trips: Applying a new grid-based method for measuring the built environment along the route," Journal of Transport Geography, Elsevier, vol. 78(C), pages 56-69.
    16. Dawei Mei & Chunliang Xiu & Xinghua Feng & Ye Wei, 2019. "Study of the School–Residence Spatial Relationship and the Characteristics of Travel-to-School Distance in Shenyang," Sustainability, MDPI, vol. 11(16), pages 1-15, August.
    17. Hugo Bois, 2016. "A New Behavioral Framework to Analyze Preferences Construction and Decision Processes Within The Modal Choice," Working Papers hal-04141584, HAL.
    18. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
    19. David Perez-Barbosa & Junyi Zhang, 2017. "Transport-Based Social Exclusion in Rural Japan: A Case Study on Schooling Trips of High School Students," Social Inclusion, Cogitatio Press, vol. 5(4), pages 235-250.
    20. Liu, Yang & Min, Shisheng & Shi, Zhuangbin & He, Mingwei, 2024. "Exploring students' choice of active travel to school in different spatial environments: A case study in a mountain city," Journal of Transport Geography, Elsevier, vol. 115(C).

    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:jijerp:v:19:y:2022:i:22:p:14752-:d:968202. 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.