Daily walking time effects of the opening of a multifunctional facility “ONIKURU” using propensity score matching and GPS tracking techniques
Sallis, J. F. et al. Physical activity in relation to urban environments in 14 cities worldwide: A cross-sectional study. Lancet 387, 2207–2217 (2016).
Google Scholar
Frank, L. D., Schmid, T. L., Sallis, J. F., Chapman, J. & Saelens, B. E. Linking objectively measured physical activity with objectively measured urban form. Am. J. Prev. Med. 28, 117–125 (2005).
Google Scholar
Saelens, B. E., Sallis, J. F., Black, J. B. & Chen, D. Neighborhood-based differences in physical activity: An environment scale evaluation. Am. J. Public. Health. 93, 1552–1558 (2003).
Google Scholar
Carson, J. R. et al. Neighborhood walkability, neighborhood social health, and self-selection among U.S. adults. Health Place. 82, 103036 (2023).
Google Scholar
Renalds, A., Smith, T. H. & Hale, P. J. A systematic review of built environment and health. Fam Community Health. 33, 68–78 (2010).
Google Scholar
Wood, L. et al. The anatomy of the safe and social suburb: An exploratory study of the built environment, social capital and residents’ perceptions of safety. Health Place. 14, 15–31 (2008).
Google Scholar
Kang, C. D. Spatial access to pedestrians and retail sales in Seoul, Korea. Habitat Int. 57, 110–120 (2016).
Google Scholar
Ivey, R. & Bereitschaft, B. The impact of walkability on the sales price of commercial properties when controlling for the effects of economic recession: A case study of Omaha, Nebraska. J. Real Estate Lit. 29, 43–59 (2021).
Google Scholar
Kato, H. How does the location of urban facilities affect the forecasted population change in the Osaka Metropolitan Fringe Area? Sustainability 13, 110 (2020).
Google Scholar
Shin, H. S. & Woo, A. Analyzing the effects of walkable environments on nearby commercial property values based on deep learning approaches. Cities 144, 104628 (2024).
Google Scholar
Kato, H. Effect of walkability on urban sustainability in the Osaka Metropolitan Fringe Area. Sustainability 12, 9248 (2020).
Google Scholar
Carr, L. J., Dunsiger, S. I. & Marcus, B. H. Validation of walk score for estimating access to walkable amenities. Br. J. Sports Med. 45, 1144–1148 (2011).
Google Scholar
Cerin, E., Saelens, B. E., Sallis, J. F. & Frank, L. D. Neighborhood environment walkability scale. Med. Sci. Sports Exerc. 38, 1682–1691 (2006).
Google Scholar
Cervero, R. & Kockelman, K. Travel demand and the 3Ds: Density, diversity, and design. Transp. Res. D Transp. Environ. 2, 199–219 (1997).
Google Scholar
Brownson, R. C., Hoehner, C. M., Day, K., Forsyth, A. & Sallis, J. F. Measuring the built environment for physical activity. Am J Prev Med 36, S99-S123.e12 (2009).
Google Scholar
Kato, H. & Kanki, K. Development of walkability indicator for smart shrinking: Case study of sprawl areas in Northern Osaka Metropolitan. Int. Rev. Spat. Plann. Sustainable Dev. 8, 39–58 (2020).
Google Scholar
Frank, L., Kerr, J., Rosenberg, D. & King, A. Healthy aging and where you live: Community design relationships with physical activity and body weight in older Americans. J. Phys. Act. Health. 7, S82–S90 (2010).
Google Scholar
Christie, C. D., Friedenreich, C. M., Vena, J. E., Turley, L. & McCormack, G. R. Cross-sectional and longitudinal associations between the built environment and walking: Effect modification by socioeconomic status. BMC Public. Health. 22, 1233 (2022).
Google Scholar
Wang, Z., Ettema, D. & Helbich, M. Objective environmental exposures correlate differently with recreational and transportation walking: A cross-sectional national study in the Netherlands. Environ. Res. 194, 110591 (2021).
Google Scholar
Sales, D. et al. Perception of the neighborhood environment, physical activity by domain and sitting time in Brazilian adults. Int. J. Environ. Res. Public. Health. 19, 15744 (2022).
Google Scholar
Zhao, L., Shen, Z., Zhang, Y. & Ma, Y. The impact of the community built environment on the walking times of residents in a community in the downtown area of Fuzhou. Sustainability 11, 691 (2019).
Google Scholar
Ghani, F., Rachele, J. N., Washington, S. & Turrell, G. Gender and age differences in walking for transport and recreation: Are the relationships the same in all neighborhoods? Prev. Med. Rep. 4, 75–80 (2016).
Google Scholar
Zhang, Y. et al. The impact of interventions in the built environment on physical activity levels: A systematic umbrella review. Int. J. Behav. Nutr. Phys. Activity. 19, 156 (2022).
Google Scholar
He, D., Sun, G., De Vos, J. & Webster, C. The effects of Metro interventions on physical activity and walking among older adults: A natural experiment in Hong Kong. Health Place. 78, 102939 (2022).
Google Scholar
Morita, H., Hino, K., Morioka, W. & Yamada, I. Changes in the residents’ step counts before and after a railway improvement project. J. Transp. Health. 30, 101608 (2023).
Google Scholar
Gunn, L. D., Lee, Y., Geelhoed, E., Shiell, A. & Giles-Corti, B. The cost-effectiveness of installing sidewalks to increase levels of transport-walking and health. Prev. Med. (Baltim). 67, 322–329 (2014).
Google Scholar
Xie, B., Lu, Y., Wu, L. & An, Z. Dose-response effect of a large-scale greenway intervention on physical activities: The first natural experimental study in China. Health Place. 67, 102502 (2021).
Google Scholar
He, D., Lu, Y., Xie, B. & Helbich, M. Large-scale greenway intervention promotes walking behaviors: A natural experiment in China. Transp. Res. D Transp. Environ. 101, 103095 (2021).
Google Scholar
Cohen, D. A., Marsh, T., Williamson, S., Golinelli, D. & McKenzie, T. L. Impact and cost-effectiveness of family fitness zones: A natural experiment in urban public parks. Health Place. 18, 39–45 (2012).
Google Scholar
Cranney, L. et al. Impact of an outdoor gym on park users’ physical activity: A natural experiment. Health Place. 37, 26–34 (2016).
Google Scholar
Anderson, J. et al. Large walking and wellbeing behaviour benefits of co-designed sustainable park improvements: A natural experimental study in a UK deprived urban area. Environ. Int. 187, 108669 (2024).
Google Scholar
Ibaraki City. Home page of ONIKURU. (2024). https://www.city.ibaraki.osaka.jp/kikou/shimin/shiminkaikanatochikatuyou_2/index.html
The Pritzker Architecture Prize. Toyo Ito. (2013). https://www.pritzkerprize.com/laureates/2013
Ibaraki City. New facility Onikuru in Ibaraki City. (2023). https://www.city.ibaraki.osaka.jp/material/files/group/87/r051211.pdf
LBMA Japan. Guidelines for the use of device location data [in Japanese]. (2023). https://www.lbmajapan.com/guideline
Geo-Technologies. Acquisition and Use of Location Information. (2024). https://geot.jp/location_information/
Kato, H., Takizawa, A. & Matsushita, D. Impact of COVID-19 pandemic on home range in a Suburban City in the Osaka Metropolitan Area. Sustainability 13, 8974 (2021).
Google Scholar
Kato, H. & Takizawa, A. Time series cross-correlation between home range and number of infected people during the COVID-19 pandemic in a suburban city. PLoS One. 17, e0267335 (2022).
Google Scholar
Kato, H. Self-containment in old new Town: Evidence from Senboku New Town in Osaka Metropolitan Area. SSRN Electron. J. https://doi.org/10.2139/ssrn.4792209 (2024).
Google Scholar
Kato, H. Development of a spatio-temporal analysis method to support the prevention of COVID-19 infection: Space-time Kernel density estimation using GPS location history data. in Urban Informatics and Future Cities (eds Geertman, S. C. M., Pettit, C., Goodspeed, R. & Staffans, A.) 51–67 (Springer, Cham, doi:https://doi.org/10.1007/978-3-030-76059-5_4. (2021).
Google Scholar
Hino, K., Lee, J. S. & Asami, Y. Associations between seasonal meteorological conditions and the daily step count of adults in Yokohama, Japan: Results of year-round pedometer measurements in a large population. Prev. Med. Rep. 8, 15–17 (2017).
Google Scholar
Hino, K., Lee, J. S. & Asami, Y. Interaction effect of neighborhood walkability and season on adults’ step count. J. Transp. Health. 20, 101027 (2021).
Google Scholar
Prince, S. A. et al. Prioritizing a research agenda on built environments and physical activity: A twin panel Delphi consensus process with researchers and knowledge users. Int. J. Behav. Nutr. Phys. Activity. 20, 144 (2023).
Google Scholar
Murooka, T., Shimizu, H. & Taniguchi, M. Networked compact city policy status and issues—hierarchy and human mobility in Tokyo, Japan. Sustainability 13, 13107 (2021).
Google Scholar
MLIT. Grand Design of National Spatial Development towards 2050, Japan. (2014). https://www.mlit.go.jp/common/001088248.pdf
Nagai, M. et al. Impact of walking on life expectancy and lifetime medical expenditure: the Ohsaki Cohort Study. BMJ Open. 1, (2011).
Hosokawa, R., Ojima, T., Myojin, T., Kondo, K. & Kondo, N. Geriatric symptoms associated with healthy life expectancy in older people in Japan. Environ. Health Prev. Med. 28, 22–00300 (2023).
Google Scholar
Matsuyama, S., Murakami, Y., Lu, Y., Sugawara, Y. & Tsuji, I. Changes in time spent walking and disability-free life expectancy in Japanese older people: The Ohsaki Cohort 2006 study. Prev. Med. (Baltim). 163, 107190 (2022).
Google Scholar
Paluch, A. E. et al. Daily steps and all-cause mortality: A meta-analysis of 15 international cohorts. Lancet Public. Health. 7, e219–e228 (2022).
Google Scholar
Kyu, H. H. et al. Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: Systematic review and dose-response meta-analysis for the global burden of Disease Study 2013. BMJ i3857 https://doi.org/10.1136/bmj.i3857 (2016).
Duncan, J. J. Women walking for health and fitness. JAMA 266, 3295 (1991).
Google Scholar
Simons, D. et al. Effect and process evaluation of a smartphone app to promote an active lifestyle in lower educated working young adults: Cluster randomized controlled trial. JMIR Mhealth Uhealth. 6, e10003 (2018).
Google Scholar
MIC of Japan. WHITE PAPER. (2023). https://www.soumu.go.jp/johotsusintokei/whitepaper/eng/WP2023/data_collection.html (2024).
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