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Civil & Environmental Engineering

The effects of daily spatiotemporal variables and physical activities at workplaces on physical and mental health

ORCID Icon, , &
Article: 2326771 | Received 30 May 2023, Accepted 29 Feb 2024, Published online: 13 Mar 2024

References

  • Akar, G., Clifton, K. J., & Doherty, S. T. (2011). discretionary activity location choice: In-home or out-of-home. Transportation, 38(1), 101–122. https://doi.org/10.1007/s11116-010-9293-x
  • Ali, M., Dharmowijoyo, D. B., Harahap, I. S., Puri, A., & Tanjung, L. E. (2020). Travel behaviour and health: Interaction of activity-travel pattern, travel parameter and physical intensity. Solid State Technol, 63(6), 4026–4039.
  • Ali, M., Dharmowijoyo, D. B. E., de Azevedo, A. R., Fediuk, R., Ahmad, H., & Salah, B. (2021). Time-use and spatio-temporal variables influence on physical activity intensity, physical and social health of travelers. Sustainability, 13(21), 12226. https://doi.org/10.3390/su132112226
  • Andersen, L., Gustat, J., & Becker, A. B. (2015). The relationship between the social environment and lifestyle-related physical activity in a low-income African American inner-city Southern neighborhood. Journal of Community Health, 40(5), 967–974. https://doi.org/10.1007/s10900-015-0019-z
  • Bappeda Kota Bandung. (2011). Land use and regional masterplan. Bappeda Kota Bandung.
  • Booth, M. L. (2000). Assessment of physical activity: An international perspective. Research Quarterly for Exercise and Sport, 71 Suppl 2(sup2), 114–120. https://doi.org/10.1080/02701367.2000.11082794
  • Brown, V., Barr, A., Scheurer, J., Magnes, A., Diomedi, B. Z., & Bentley, R. (2019). Better transport accessibility, better health: A health economic impact assessment study for Melbourne, Australia. International Journal of Behavioural Nutrition and Physical Activity, 16, 89.
  • Cullen, I., & Godson, V. (1975). Urban networks: The structure of activity patterns. Progress in Planning, 4, 1–96. https://doi.org/10.1016/0305-9006(75)90006-9
  • Currier, D., Lindner, R., Spittal, M. J., Cvetkovski, S., Pirkis, J., & English, D. R. (2020). Physical activity and depression in men: Increased activity duration and intensity associated with lower likelihood of current depression. Journal of Affective Disorders, 260, 426–431. https://doi.org/10.1016/j.jad.2019.09.061
  • Dharmowijoyo, D. B. (2016). The complexity and variability of individuals’ activity-travel patterns in Indonesia. [doctoral dissertation].
  • Dharmowijoyo, D. B., & Joewono, T. B. (2020). Mobility and health: The interaction of activity-travel patterns, overall well-being, transport-related social exclusion on health parameters. In S. A. Sulaiman (ed.), Energy Efficiency in Mobility Systems, 53–83; Springer Nature Singapore https://doi.org/10.1007/978-981-15-0102-9
  • Dharmowijoyo, D. B., Susilo, Y. O., Karlström, A., & Adiredja, L. S. (2015). Collecting a multi-dimensional three weeks household time-use and activity diary in the Bandung Metropolitan Area, Indonesia. Transportation Research Part A: Policy and Practice, 80, 231–246. https://doi.org/10.1016/j.tra.2015.08.001
  • Dharmowijoyo, D. B. E., Susilo, Y. O., & Karlström, A. (2017). Analysing the complexity of day-to-day individual activity-travel patterns using a multi-dimensional sequence alignment model: A case study in the Bandung Metropolitan Area, Indonesia. Journal of Transport Geography, 64, 1–12. https://doi.org/10.1016/j.jtrangeo.2017.08.001
  • Dharmowijoyo, D. B. E., Susilo, Y. O., & Karlström, A. (2018). On complexity and variability of individuals’ discretionary activities. Transportation, 45(1), 177–204. https://doi.org/10.1007/s11116-016-9731-5
  • Dharmowijoyo, D. B., Susilo, Y. O., & Syabri, I. (2020). Time use and spatial influence on transport-related social exclusion, and mental and social health. Travel Behaviour and Society, 21, 24–36. https://doi.org/10.1016/j.tbs.2020.05.006
  • Dharmowijoyo, D. B. E., Susilo, Y. O., & Joewono, T. B. (2021). Residential locations and health effects on multitasking behaviours and day experiences. Sustainability, 13(20), 11347. https://doi.org/10.3390/su132011347
  • Dharmowijoyo, D. B., Cherchi, E., Termida, N. A., & Samsura, D. A. A. (2023). On the role of subjective well-being in mediating the relationship between spatiotemporal and health variables. Journal of Transport & Health, 32, 101679. https://doi.org/10.1016/j.jth.2023.101679
  • Ewing, R., & Cervero, R. (2010). Travel and the built environment: a meta-analysis. Journal of the American Planning Association, 76(3), 265–294. https://doi.org/10.1080/01944361003766766
  • Fedewa, M. V., Hathaway, E. D., Williams, T. D., & Schmidt, M. D. (2017). Effect of exercise training on non-exercise physical activity: A systematic review and meta-analysis of randomized controlled trials. Sports Medicine (Auckland, N.Z.), 47(6), 1171–1182. https://doi.org/10.1007/s40279-016-0649-z
  • Frank, L. D., Iroz-Elardo, N., MacLeod, K. E., & Hong, A. (2019). Pathways from built environment to health: A conceptual framework linking behavior and exposure-based impacts. Journal of Transport & Health, 12, 319–335. https://doi.org/10.1016/j.jth.2018.11.008
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis. Pearson.
  • Hunt, E., McKay, E. A., Dahly, D. L., Fitzgerald, A. P., & Perry, I. J. (2015). A person-centred analysis of the time use, daily activities, and health-related quality of life of Irish school-going late adolescent. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 24(6), 1303–1315. https://doi.org/10.1007/s11136-014-0863-9
  • Hagströmer, M., Oja, P., & Sjöström, M. (2007). Physical activity and inactivity in an adult population assessed by accelerometer. Journal of the American College of Sport Medicine, 2007, 1502–1508.
  • Hägerstrand, T. (1970). What about people in regional sciences? The Regional Sciences Association, 247(21), 7–21.
  • Irish Aid. (2016). Income security: Why it matters for older people everywhere. https://www.ageaction.ie/sites/default/files/attachments/age_action_income_security_booklet_jan_2016.pdf
  • Kroesen, M., & De Vos, J. (2020). Does active travel make people healthier, or are healthy people more inclined to travel actively? Journal of Transport & Health, 16, 100844. https://doi.org/10.1016/j.jth.2020.100844
  • Liu, H., Li, F., Li, J., & Zhang, Y. (2017). The relationship between urban parks, residents’ physical activity, and mental health benefits: A case study from Beijing, China. Journal of Environmental Management, 190, 223–230. https://doi.org/10.1016/j.jenvman.2016.12.058
  • Miller, H. J. (2017). Time geography and space-time prism. In D. Richardson, N. Castree, M. F. Goodchild, A. Kobayashi, W. Liu and R. A. Marston (Eds.), International Encyclopedia of Geography (pp. 1–19). John Wiley & Sons; DOI: 10.1002/9781118786352.wbieg0431
  • Nayak, S., & Pandit, D. (2023). A critical review of activity participation decision: a key component of activity-based travel demand models. International Journal of Urban Sciences, 27(4), 670–703. https://doi.org/10.1080/12265934.2022.2154249
  • Neutens, T., Schwanen, T., & Witlox, F. (2011). The prism of everyday life: Towards a new research agenda for time geography. Transport Reviews, 31(1), 25–47. https://doi.org/10.1080/01441647.2010.484153
  • Panik, R. T., Morris, E. A., & Voulgaris, C. T. (2019). Does walking and bicycling more mean exercising less? Evidence from the U.S. and the Netherlands. Journal of Transport & Health, 15, 100590. https://doi.org/10.1016/j.jth.2019.100590
  • Pereira, M. F., Almendra, R., Vale, D. S., & Santana, P. (2020). The relationship between built environment and health in the Lisbon Metropolitan area–can walkability explain diabetes’ hospital admissions? Journal of Transport & Health, 18, 100893. https://doi.org/10.1016/j.jth.2020.100893
  • Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., Heisterkamp, S., Van Willigen, B., & Maintainer, R. (2017). Package ‘nlme. Linear and Nonlinear Mixed Effects Models, Version, 3(1), 274.
  • Rizki, M., Joewono, T., Dharmowijoyo, D. B. E., & Belgiawan, P. F. (2021). Does multitasking improve travel experience of public transport users? Investigating the activities during travel of commuters in the Bandung Metropolitan Area, Indonesia. Public Transport, 13(2), 429–454. https://doi.org/10.1007/s12469-021-00263-3
  • Schwanen, T., Kwan, M. P., & Ren, F. (2008). How fixed is fixed? Gendered rigidity of space-time constraints and geographies of everyday activities. Geoforum, 39(6), 2109–2121. https://doi.org/10.1016/j.geoforum.2008.09.002
  • Sener, I. N., Lee, R. J., & Elgart, Z. (2016). Potential health implications and health cost reductions of transit-induced physical activity. Journal of Transport & Health, 3(2), 133–140. https://doi.org/10.1016/j.jth.2016.02.002
  • Shanahan, D. F., Fuller, R. A., Bush, R., Lin, B. B., & Gaston, K. J. (2015). The health benefits of urban nature: how much do we need? BioScience, 65(5), 476–485. https://doi.org/10.1093/biosci/biv032
  • Shergold, I. (2019). Taking part in activities, an exploration of the role of discretionary travel in older people’s well-being. Journal of Transport & Health, 12, 195–205. https://doi.org/10.1016/j.jth.2019.01.005
  • Sobhana, K. P., & Verma, A. (2023). Walking in Social Groups: Role of Intra-Group Interactions. Adaptive Behavior, 32(1), 33–46. https://doi.org/10.1177/10597123231182201
  • Standage, M., Gillison, F. B., Ntoumanis, N., & Treasure, D. C. (2012). Predicting students’ physical activity and health-related well-being: A prospective cross-domain investigation of motivation across school physical education and exercise settings. Journal of Sport & Exercise Psychology, 34(1), 37–60. https://doi.org/10.1123/jsep.34.1.37
  • Stubbs, B., Koyanagi, A., Hallgren, M., Firth, J., Richards, J., Schuch, F., Rosenbaum, S., Mugisha, J., Veronese, N., Lahti, J., & Vancampfort, D. (2017). Physical activity and anxiety: A perspective from the World Health Survey. Journal of Affective Disorders, 208, 545–552. https://doi.org/10.1016/j.jad.2016.10.028
  • Susilo, Y. O., & Kitamura, R. (2008). Structural changes in commuters’ daily travel: The case of auto and transit commuters in the Osaka metropolitan area of Japan, 1980–2000. Transportation Research Part A: Policy and Practice, 42(1), 95–115.
  • Susilo, Y. O., & Liu, C. (2017). Examining the relationships between individuals’ time use and activity participation with their health indicators. European Transport Research Review, 9(2), 26. https://doi.org/10.1007/s12544-017-0243-y
  • Suzukamo, Y., Fukuhara, S., Green, J., Kosinski, M., Gandek, B., & Ware, J. E. (2011). Validation testing of a three-component model of Short Form-36 scores. Journal of Clinical Epidemiology, 64(3), 301–308. https://doi.org/10.1016/j.jclinepi.2010.04.017
  • Syahputri, J., Dharmowijoyo, D. B., Joewono, T. B., & Rizki, M. (2022). Effect of travel satisfaction and heterogeneity of activity-travel patterns of other persons in the household on social and mental health: The case of Bandung Metropolitan area. Case Studies on Transport Policy, 10(4), 2111–2124. https://doi.org/10.1016/j.cstp.2022.09.005
  • Tajalli, M., & Hajbabaie, A. (2017). On the relationships between commuting mode and public health. Journal of Transport & Health, 4, 267–277. https://doi.org/10.1016/j.jth.2016.12.007
  • The United Nations. (2015). About the Sustainable Development Goals - United Nations Sustainable Development. Sustainable Development Goals.
  • Varghese, V., Chikaraishi, M., & Jana, A. (2022). Joint analysis of mode and travel-based multitasking choices in Mumbai, India. Travel Behaviour and Society, 27, 148–161. https://doi.org/10.1016/j.tbs.2022.01.006
  • Van Wee, B., & Ettema, D. (2016). Travel behavior and health: A conceptual model and research agenda. Journal of Transport & Health, 3(3), 240–248. https://doi.org/10.1016/j.jth.2016.07.003
  • Voulgaris, C. T., Smart, M. J., & Taylor, B. D. (2019). Tired of commuting? Relationship among journeys to school, sleep and exercise among American teenagers. Journal of Planning Education and Research, 39(2), 142–154. https://doi.org/10.1177/0739456X17725148
  • Wanner, M., Götschi, T., Martin-Diener, E., Kahlmeier, S., & Martin, B. W. (2012). Active transport, physical activity and body weight in adults: A systemic review. American Journal of Preventive Medicine, 42(5), 493–502. https://doi.org/10.1016/j.amepre.2012.01.030
  • White, R. L., Babic, M. J., Parker, P. D., Lubans, D. R., Astell-Burt, T., & Lonsdale, C. (2017). Domain-specific physical activity and mental health: A meta-analysis. American Journal of Preventive Medicine, 52(5), 653–666. https://doi.org/10.1016/j.amepre.2016.12.008
  • Wicaksono, A., Dharmowijoyo, D. B., Tanjung, L. E., & Susilo, Y. O. (2023). The reciprocal effects of physical activities and ride-sourcing on health. International Journal of Sustainable Transportation, 18(1), 15–33. https://doi.org/10.1080/15568318.2023.2180787
  • World Health Organization. (2016). Global Health Observatory data repository. https://apps.who.int/gho/data/view.main.REGION2480A?lang=en
  • Zhang, J. (2013). Urban forms and health promotion: An evaluation based on health-related QOL indicators.