IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i7p2178-d336879.html
   My bibliography  Save this article

Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes

Author

Listed:
  • Eun Jung Kim

    (Department of Urban Planning, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Korea)

  • Jiyeong Kim

    (Department of Urban Planning, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Korea)

  • Hyunjung Kim

    (Department of Civil and Environmental Engineering, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul 08826, Korea)

Abstract

A walkable environment is a crucial factor for promoting active transportation. The purpose of this study is to examine the association between neighborhood walkability and active transportation for noncommuting purposes (leisure and shopping) in Seoul, Korea. The Walkability Score is used as a measure of walkability, and a multilevel logistic regression model is employed to measure the odds of active transportation (i.e., walking and cycling; nonmotorized trips) at two levels: individual (level 1) and neighborhood (level 2). The results of the study showed that the Walkability Score was significantly correlated with higher odds of active transportation in shopping models. Specifically, every one-point increase in the Walkability Score was associated with 1.5%–1.8% higher odds of active transportation in shopping models. However, there was no significant correlation between the two in leisure models. Meanwhile, individual characteristics associated with the odds of active transportation differed in the leisure and shopping models. Older age was positively correlated with the odds of active transportation in the leisure model, while females showed a positive correlation in the shopping model. Based on the study, urban and transportation planners can recommend urban policies to promote active transportation in an urban setting.

Suggested Citation

  • Eun Jung Kim & Jiyeong Kim & Hyunjung Kim, 2020. "Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2178-:d:336879
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/7/2178/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/7/2178/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eun Jung Kim & Jiyeong Kim & Hyunjung Kim, 2020. "Does Environmental Walkability Matter? The Role of Walkable Environment in Active Commuting," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    2. Wasfi, R.A. & Dasgupta, K. & Orpana, H. & Ross, N.A., 2016. "Neighborhood walkability and body mass index trajectories: Longitudinal study of Canadians," American Journal of Public Health, American Public Health Association, vol. 106(5), pages 934-940.
    3. Cora J. M. Maas & Joop J. Hox, 2004. "Robustness issues in multilevel regression analysis," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 127-137, May.
    4. Maren Reyer & Stefan Fina & Stefan Siedentop & Wolfgang Schlicht, 2014. "Walkability is Only Part of the Story: Walking for Transportation in Stuttgart, Germany," IJERPH, MDPI, vol. 11(6), pages 1-17, May.
    5. Eun Jung Kim & Jaewoong Won & Jiyeong Kim, 2019. "Is Seoul Walkable? Assessing a Walkability Score and Examining Its Relationship with Pedestrian Satisfaction in Seoul, Korea," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    6. Sallis, James F. & Frank, Lawrence D. & Saelens, Brian E. & Kraft, M. Katherine, 2004. "Active transportation and physical activity: opportunities for collaboration on transportation and public health research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 249-268, May.
    7. Hamilton, Emily & Dourado, Eli, 2018. "The Premium for Walkable Development under Land Use Regulations," Annals of Computational Economics, George Mason University, Mercatus Center, February.
    8. Schmid, T.L. & Pratt, M. & Howze, E., 1995. "Policy as intervention: environmental and policy approaches to the prevention of cardiovascular disease," American Journal of Public Health, American Public Health Association, vol. 85(9), pages 1207-1211.
    9. Yung Liao & Chien-Yu Lin & Ting-Fu Lai & Yen-Ju Chen & Bohyeon Kim & Jong-Hwan Park, 2019. "Walk Score ® and Its Associations with Older Adults’ Health Behaviors and Outcomes," IJERPH, MDPI, vol. 16(4), pages 1-12, February.
    10. Gavin R. McCormack & Anita Blackstaffe & Alberto Nettel-Aguirre & Ilona Csizmadi & Beverly Sandalack & Francisco Alaniz Uribe & Afrah Rayes & Christine Friedenreich & Melissa L. Potestio, 2018. "The Independent Associations between Walk Score ® and Neighborhood Socioeconomic Status, Waist Circumference, Waist-To-Hip Ratio and Body Mass Index Among Urban Adults," IJERPH, MDPI, vol. 15(6), pages 1-15, June.
    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. Bruno Jardim & Miguel de Castro Neto, 2022. "Walkability Indicators in the Aftermath of the COVID-19 Pandemic: A Systematic Review," Sustainability, MDPI, vol. 14(17), pages 1-24, September.

    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. Zhang, Zhehao & Wang, Haiming & Fisher, Thomas, 2024. "The development, validation, and application of the campus walk score measurement system," Transport Policy, Elsevier, vol. 152(C), pages 40-54.
    2. Tijana Đorđević & Nemanja Tomić & Dajana Tešić, 2023. "Walkability and Bikeability for Sustainable Spatial Planning in the City of Novi Sad (Serbia)," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    3. Darren J. Mayne & Geoffrey G. Morgan & Bin B. Jalaludin & Adrian E. Bauman, 2019. "Area-Level Walkability and the Geographic Distribution of High Body Mass in Sydney, Australia: A Spatial Analysis Using the 45 and Up Study," IJERPH, MDPI, vol. 16(4), pages 1-29, February.
    4. Eun Jung Kim & Jiyeong Kim & Hyunjung Kim, 2020. "Does Environmental Walkability Matter? The Role of Walkable Environment in Active Commuting," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    5. D. Gunzler & W. Tang & N. Lu & P. Wu & X. Tu, 2014. "A Class of Distribution-Free Models for Longitudinal Mediation Analysis," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 543-568, October.
    6. Van Holle, Veerle & Van Cauwenberg, Jelle & Deforche, Benedicte & Goubert, Liesbet & Maes, Lea & Nasar, Jack & Van de Weghe, Nico & Salmon, Jo & De Bourdeaudhuij, Ilse, 2014. "Environmental invitingness for transport-related cycling in middle-aged adults: A proof of concept study using photographs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 432-446.
    7. McNeill, Lorna Haughton & Kreuter, Matthew W. & Subramanian, S.V., 2006. "Social Environment and Physical activity: A review of concepts and evidence," Social Science & Medicine, Elsevier, vol. 63(4), pages 1011-1022, August.
    8. Arpino, Bruno & Varriale, Roberta, 2009. "Assessing the quality of institutions’ rankings obtained through multilevel linear regression models," MPRA Paper 19873, University Library of Munich, Germany.
    9. Francesco Aiello & Graziella Bonanno & Stefania P. S. Rossi, 2020. "How firms finance innovation. Further empirics from European SMEs," Metroeconomica, Wiley Blackwell, vol. 71(4), pages 689-714, November.
    10. McMahon, James M. & Pouget, Enrique R. & Tortu, Stephanie, 2006. "A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXED," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3663-3680, August.
    11. Clara Moreira Senne & Josiane Palma Lima & Fábio Favaretto, 2021. "An Index for the Sustainability of Integrated Urban Transport and Logistics: The Case Study of São Paulo," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    12. Maciej Jakubowski, 2007. "Efektywność wydatków na gimnazja," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 11-12, pages 85-113.
    13. Mikami, Satoru & Furukawa, Mitsuaki, 2014. "An Empirical Study of the Conditions for Successful Knowledge Transfer in Training Programs," Working Papers 85, JICA Research Institute.
    14. Kroesen, Maarten & van Wee, Bert, 2022. "Understanding how accessibility influences health via active travel: Results from a structural equation model," Journal of Transport Geography, Elsevier, vol. 102(C).
    15. Sun-Joo Cho & Sarah Brown-Schmidt & Woo-yeol Lee, 2018. "Autoregressive Generalized Linear Mixed Effect Models with Crossed Random Effects: An Application to Intensive Binary Time Series Eye-Tracking Data," Psychometrika, Springer;The Psychometric Society, vol. 83(3), pages 751-771, September.
    16. JaeYoul Shin, 2018. "Relative Deprivation, Satisfying Rationality, and Support for Redistribution," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 35-56, November.
    17. Ferraccioli, Federico & Sangalli, Laura M. & Finos, Livio, 2022. "Some first inferential tools for spatial regression with differential regularization," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    18. Francesco Aiello & Graziella Bonanno, 2018. "Multilevel empirics for small banks in local markets," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1017-1037, November.
    19. Shuai Yu & Bin Li & Dongmei Liu, 2023. "Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing–Tianjin–Hebei Urban Agglomera," IJERPH, MDPI, vol. 20(2), pages 1-22, January.
    20. Amer Habibullah & Nawaf Alhajaj & Ahmad Fallatah, 2022. "One-Kilometer Walking Limit during COVID-19: Evaluating Accessibility to Residential Public Open Spaces in a Major Saudi City," Sustainability, MDPI, vol. 14(21), pages 1-16, October.

    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:17:y:2020:i:7:p:2178-:d:336879. 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.