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Individual Momentary Experiences of Neighborhood Public Spaces: Results of a Virtual Environment Based Stated Preference Experiment

Author

Listed:
  • Yuwen Zhao

    (Department of the Built Environment, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

  • Pauline E. W. van den Berg

    (Department of the Built Environment, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

  • Ioulia V. Ossokina

    (Department of the Built Environment, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

  • Theo A. Arentze

    (Department of the Built Environment, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

Abstract

Although it has become increasingly recognized that the spatial design of public space plays an important role in the perceived quality of the built environment by users, there is still little known about the influences of specific attributes on individuals’ experiences. Therefore, this study aims at (1) identifying the factors underlying momentary experiences in public space given both cognitive (satisfaction) and affective (emotion) responses and (2) understanding the experiences as a function of green and design attributes and analyzing the heterogeneity in preferences. To achieve the research goals, this study innovatively introduced an online video-based stated preference experiment. A national sample of 316 individuals from the Netherlands were invited to complete the experiment. The results of a factor analysis indicate that the momentary experiences of the environments presented can be reduced to a single preference dimension capturing the cognitive as well as affective elements of experiences. The results of a latent class regression analysis furthermore show that there is substantial heterogeneity on how attributes are experienced. Three classes emerge which differ in terms of satisfaction with life and satisfaction with availability of green in the current living environment on dwelling, neighborhood, and city level. Presence of trees, vertical green on façades, and grass surfaces were found to be most important for individuals’ experiences generally. The paper provides a new understanding of how spatial attributes in neighborhood public spaces can influence individuals’ momentary experiences. For cities pursuing both greenification and densification, this study offers quantitative evidence to support the selection of design attributes of neighborhood public spaces which can evoke positive experiences.

Suggested Citation

  • Yuwen Zhao & Pauline E. W. van den Berg & Ioulia V. Ossokina & Theo A. Arentze, 2022. "Individual Momentary Experiences of Neighborhood Public Spaces: Results of a Virtual Environment Based Stated Preference Experiment," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:4938-:d:797784
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    References listed on IDEAS

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    1. Chunpei Lin & Guanxi Zhao & Chuanpeng Yu & Yenchun Jim Wu, 2019. "Smart City Development and Residents’ Well-Being," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    2. Arentze, Theo A., 2015. "Individuals' social preferences in joint activity location choice: A negotiation model and empirical evidence," Journal of Transport Geography, Elsevier, vol. 48(C), pages 76-84.
    3. Gamze Dane & Aloys Borgers & Tao Feng, 2019. "Subjective Immediate Experiences during Large-Scale Cultural Events in Cities: A Geotagging Experiment," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    4. Deirdre Pfeiffer & Scott Cloutier, 2016. "Planning for Happy Neighborhoods," Journal of the American Planning Association, Taylor & Francis Journals, vol. 82(3), pages 267-279, July.
    5. Kaczynski, A.T. & Potwarka, L.R. & Saelens P, B.E., 2008. "Association of park size, distance, and features with physical activity in neighborhood parks," American Journal of Public Health, American Public Health Association, vol. 98(8), pages 1451-1456.
    6. Westbrook, Robert A & Oliver, Richard L, 1991. "The Dimensionality of Consumption Emotion Patterns and Consumer Satisfaction," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(1), pages 84-91, June.
    7. Minou Weijs-Perrée & Gamze Dane & Pauline van den Berg, 2020. "Analyzing the Relationships between Citizens’ Emotions and their Momentary Satisfaction in Urban Public Spaces," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
    8. Leisch, Friedrich, 2004. "FlexMix: A General Framework for Finite Mixture Models and Latent Class Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i08).
    9. Li, Shengxiao & Zhao, Pengjun & Zhang, He & Quan, Jing, 2019. "Walking behavior in the old downtown Beijing: The impact of perceptions and attitudes and social variations," Transport Policy, Elsevier, vol. 73(C), pages 1-11.
    10. Wayne DeSarbo & William Cron, 1988. "A maximum likelihood methodology for clusterwise linear regression," Journal of Classification, Springer;The Classification Society, vol. 5(2), pages 249-282, September.
    11. Sanglim Yoo & John E. Wagner, 2016. "A review of the hedonic literatures in environmental amenities from open space: a traditional econometric vs. spatial econometric model," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(1), pages 141-166, March.
    12. Liu, Yanan & Yang, Dujuan & Timmermans, Harry J.P. & de Vries, Bauke, 2020. "Analysis of the impact of street-scale built environment design near metro stations on pedestrian and cyclist road segment choice: A stated choice experiment," Journal of Transport Geography, Elsevier, vol. 82(C).
    13. Ahmad Adeel & Bruno Notteboom & Ansar Yasar & Kris Scheerlinck & Jeroen Stevens, 2021. "Sustainable Streetscape and Built Environment Designs around BRT Stations: A Stated Choice Experiment Using 3D Visualizations," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
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    1. Antonio Zumelzu & Mariana Estrada & Marta Moya & Jairo Troppa, 2022. "Experiencing Public Spaces in Southern Chile: Analysing the Effects of the Built Environment on Walking Perceptions," IJERPH, MDPI, vol. 19(19), pages 1-20, October.

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