895
Views
1
CrossRef citations to date
0
Altmetric
Editorial

Advancing environmental exposure and health impact assessment research with travel behaviour studies

&

References

  • Anguelovski, I., Connolly, J. J. T., Cole, H., Garcia-Lamarca, M., Triguero-Mas, M., Baró, F., … Minaya, J. M. (2022). Green gentrification in European and North American cities. Nature Communications, 13, 3816. https://doi.org/10.1038/s41467-022-31572-1
  • Birenboim, A., Helbich, M., & Kwan, M.-P. (2021). Advances in portable sensing for urban environments: Understanding cities from a mobility perspective. Computers, Environment and Urban Systems, 88, 101650. https://doi.org/10.1016/j.compenvurbsys.2021.101650
  • Braun, L. M., Le, H. T. K., Voulgaris, C. T., & Nethery, R. C. (2021). Healthy for whom? Equity in the spatial distribution of cycling risks in Los Angeles. Journal of Transport & Health, 23, 101227. https://doi.org/10.1016/j.jth.2021.101227
  • Braun, L. M., Le, H. T. K., Turley Voulgaris, C., & Nethery, R. C. (2023). Who benefits from shifting metal-to-pedal? Equity in the health tradeoffs of cycling. Transportation Research Part D: Transport and Environment, 115, 103540. https://doi.org/10.1016/j.trd.2022.103540
  • Brazil, N. (2022). Environmental inequality in the neighborhood networks of urban mobility in US cities. Proceedings of the National Academy of Sciences, 119(17), e2117776119. https://doi.org/10.1073/pnas.2117776119
  • Caldarola, B., & Sorrell, S. (2022). Do teleworkers travel less? Evidence from the English national travel survey. Transportation Research Part A: Policy and Practice, 159, 282–303. https://doi.org/10.1016/j.tra.2022.03.026
  • Chaix, B. (2018). Mobile sensing in environmental health and neighborhood research. Annual Review of Public Health, 39, 367–384. https://doi.org/10.1146/annurev-publhealth-040617-013731
  • Chapizanis, D., Karakitsios, S., Gotti, A., & Sarigiannis, D. A. (2021). Assessing personal exposure using Agent Based Modelling informed by sensors technology. Environmental Research, 192, 110141. https://doi.org/10.1016/j.envres.2020.110141
  • Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep, K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., Feigin, V., Freedman, G., Hubbell, B., Jobling, A., Kan, H., Knibbs, L., Liu, Y., Martin, R., Morawska, L., … Forouzanfar, M. H. (2017). Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: An analysis of data from the Global Burden of Diseases Study 2015. The Lancet, 389(10082), 1907–1918. https://doi.org/10.1016/S0140-6736(17)30505-6
  • De Vos, J., Singleton, P. A., & Dill, J. (2020). Travel, health and well-being: A focus on past studies, a special issue, and future research. Journal of Transport & Health, 19, 100973. https://doi.org/10.1016/j.jth.2020.100973
  • Dias, D., & Tchepel, O. (2018). Spatial and temporal dynamics in air pollution exposure assessment. International Journal of Environmental Research and Public Health, 15(3), 558. https://doi.org/10.3390/ijerph15030558
  • European Environment Agency. (2018). Unequal exposure and unequal impacts: Social vulnerability to air pollution, noise and extreme temperatures in Europe. Publications Office of the European Union. https://data.europa.eu/doi/10.2800324183
  • Fancello, G., Vallée, J., Sueur, C., van Lenthe, F. J., Kestens, Y., Montanari, A., & Chaix, B. (2023). Micro urban spaces and mental well-being: Measuring the exposure to urban landscapes along daily mobility paths and their effects on momentary depressive symptomatology among older population. Environment International, 178, 108095. https://doi.org/10.1016/j.envint.2023.108095
  • Gelb, J., & Apparicio, P. (2021). Cyclists’ exposure to atmospheric and noise pollution: A systematic literature review. Transport Reviews, 41(6), 742–765. https://doi.org/10.1080/01441647.2021.1895361
  • Glasgow, T. E., Le, H. T. K., Scott Geller, E., Fan, Y., & Hankey, S. (2019). How transport modes, the built and natural environments, and activities influence mood: A GPS smartphone app study. Journal of Environmental Psychology, 66, 101345. https://doi.org/10.1016/j.jenvp.2019.101345
  • Glazener, A., & Khreis, H. (2019). Transforming our cities: Best practices towards clean air and active transportation. Current Environmental Health Reports, 6(1), 22–37. https://doi.org/10.1007/s40572-019-0228-1
  • Gurram, S., Stuart, A. L., & Pinjari, A. R. (2019). Agent-based modeling to estimate exposures to urban air pollution from transportation: Exposure disparities and impacts of high-resolution data. Computers, Environment and Urban Systems, 75, 22–34. https://doi.org/10.1016/j.compenvurbsys.2019.01.002
  • Hägerstrand, T. (1970). What about people in Regional Science? Papers of the Regional Science Association, 24(1), 6–21. https://doi.org/10.1007/BF01936872
  • Hamamoto, M. (2019). An empirical study on the behavior of hybrid-electric vehicle purchasers. Energy Policy, 125, 286–292. https://doi.org/10.1016/j.enpol.2018.10.042
  • Hankey, S., Lindsey, G., & Marshall, J. D. (2017). Population-level exposure to particulate air pollution during active travel: Planning for low-exposure, health-promoting cities. Environmental Health Perspectives, 125(4), 527–534. https://doi.org/10.1289/EHP442
  • Harrison, R. M., Allan, J., Carruthers, D., Heal, M. R., Lewis, A. C., Marner, B., Murrells, T., & Williams, A. (2021). Non-exhaust vehicle emissions of particulate matter and VOC from road traffic: A review. Atmospheric Environment, 262, 118592. https://doi.org/10.1016/j.atmosenv.2021.118592
  • Horton, F. E., & Reynolds, D. R. (1971). Effects of urban spatial structure on individual behavior. Economic Geography, 47(1), 36–48. https://doi.org/10.2307/143224
  • Hostettler Macias, L., Ravalet, E., & Rérat, P. (2022). Potential rebound effects of teleworking on residential and daily mobility. Geography Compass, 16(9), e12657. https://doi.org/10.1111/gec3.12657
  • Karner, A., Hondula, D. M., & Vanos, J. K. (2015). Heat exposure during non-motorized travel: Implications for transportation policy under climate change. Journal of Transport & Health, 2(4), 451–459. https://doi.org/10.1016/j.jth.2015.10.001
  • Kim, E.-K., Conrow, L., Röcke, C., Chaix, B., Weibel, R., & Perchoux, C. (2023). Advances and challenges in sensor-based research in mobility, health, and place. Health & Place, 79, 102972. https://doi.org/10.1016/j.healthplace.2023.102972
  • Kim, J., & Kwan, M.-P. (2021). How neighborhood effect averaging might affect assessment of individual exposures to air pollution: A study of ozone exposures in Los Angeles. Annals of the American Association of Geographers, 111(1), 121–140. https://doi.org/10.1080/24694452.2020.1756208
  • Kraus, U., Breitner, S., Hampel, R., Wolf, K., Cyrys, J., Geruschkat, U., Gu, J., Radon, K., Peters, A., & Schneider, A. (2015). Individual daytime noise exposure in different microenvironments. Environmental Research, 140, 479–487. https://doi.org/10.1016/j.envres.2015.05.006
  • Lan, Y., Roberts, H., Kwan, M.-P., & Helbich, M. (2022). Daily space-time activities, multiple environmental exposures, and anxiety symptoms: A cross-sectional mobile phone-based sensing study. Science of The Total Environment, 834, 155276. https://doi.org/10.1016/j.scitotenv.2022.155276
  • Langbroek, J. H. M., Franklin, J. P., & Susilo, Y. O. (2017). Electric vehicle users and their travel patterns in Greater Stockholm. Transportation Research Part D: Transport and Environment, 52, 98–111. https://doi.org/10.1016/j.trd.2017.02.015
  • Le, H. T. K., Buehler, R., Fan, Y., & Hankey, S. (2020). Expanding the positive utility of travel through weeklong tracking: Within-person and multi-environment variability of ideal travel time. Journal of Transport Geography, 84, 102679. https://doi.org/10.1016/j.jtrangeo.2020.102679
  • Le, H. T. K., Carrel, A. L., & Shah, H. (2022). Impacts of online shopping on travel demand: A systematic review. Transport Reviews, 42(3), 273–295. https://doi.org/10.1080/01441647.2021.1961917
  • Li, R., Chester, M. V., Middel, A., Vanos, J. K., Hernandez-Cortes, D., Buo, I., & Hondula, D. M. (2023). Effectiveness of travel behavior and infrastructure change to mitigate heat exposure. Frontiers in Sustainable Cities, 5, 112938. https://doi.org/10.3389/frsc.2023.1129388
  • Mokhtarian, P. L. (2005). Travel as a desired end, not just a means. Transportation Research Part A: Policy and Practice, 39(2–3), 93–96. https://doi.org/10.1016/j.tra.2004.09.005
  • Mokhtarian, P. L., & Salomon, I. (2001). How derived is the demand for travel? Some conceptual and measurement considerations. Transportation Research Part A: Policy and Practice, 35(8), 695–719. https://doi.org/10.1016/S0965-8564(00)00013-6
  • Mueller, N., Rojas-Rueda, D., Cole-Hunter, T., de Nazelle, A., Dons, E., Gerike, R., … Nieuwenhuijsen, M. (2015). Health impact assessment of active transportation: A systematic review. Preventive Medicine, 76, 103–114. https://doi.org/10.1016/j.ypmed.2015.04.010
  • Park, Y. M., & Kwan, M.-P. (2017). Multi-contextual segregation and environmental justice research: Toward fine-scale spatiotemporal approaches. International Journal of Environmental Research and Public Health, 14(10), 1205. https://doi.org/10.3390/ijerph14101205
  • Poom, A., Willberg, E., & Toivonen, T. (2021). Environmental exposure during travel: A research review and suggestions forward. Health & Place, 70, 102584. https://doi.org/10.1016/j.healthplace.2021.102584
  • Roberts, H., & Helbich, M. (2021). Multiple environmental exposures along daily mobility paths and depressive symptoms: A smartphone-based tracking study. Environment International, 156, 106635. https://doi.org/10.1016/j.envint.2021.106635
  • Sanchez, T. W., Shumway, H., Gordner, T., & Lim, T. (2023). The prospects of artificial intelligence in urban planning. International Journal of Urban Sciences, 27(2), 179–194. https://doi.org/10.1080/12265934.2022.2102538
  • Shah, H., Carrel, A. L., & Le, H. T. (2022). Impacts of teleworking and online shopping on travel: A tour-based analysis. Transportation, 1–29. https://doi.org/10.1007/s11116-022-10321-9
  • Shin, H., & Bithell, M. (2023). TRAPSim: An agent-based model to estimate personal exposure to non-exhaust road emissions in central Seoul. Computers, Environment and Urban Systems, 99, 101894. https://doi.org/10.1016/j.compenvurbsys.2022.101894
  • Singh, V., Meena, K. K., & Agarwal, A. (2021). Travellers’ exposure to air pollution: A systematic review and future directions. Urban Climate, 38, 100901. https://doi.org/10.1016/j.uclim.2021.100901
  • Son, T. H., Weedon, Z., Yigitcanlar, T., Sanchez, T., Corchado, J. M., & Mehmood, R. (2023). Algorithmic urban planning for smart and sustainable development: Systematic review of the literature. Sustainable Cities and Society, 94, 104562. https://doi.org/10.1016/j.scs.2023.104562
  • Tainio, M., Jovanovic Andersen, Z., Nieuwenhuijsen, M. J., Hu, L., de Nazelle, A., An, R., Garcia, L. M. T., Goenka, S., Zapata-Diomedi, B., Bull, F., & Sá, T. H. de. (2021). Air pollution, physical activity and health: A mapping review of the evidence. Environment International, 147, 105954. https://doi.org/10.1016/j.envint.2020.105954
  • Wang, B., Xu, T., Gao, H., Ta, N., Chai, Y., & Wu, J. (2021). Can daily mobility alleviate green inequality from living and working environments? Landscape and Urban Planning, 214, 104179. https://doi.org/10.1016/j.landurbplan.2021.104179
  • Wang, J., Kwan, M.-P., & Chai, Y. (2018). An innovative context-based crystal-growth activity space method for environmental exposure assessment: A study using GIS and GPS trajectory data collected in Chicago. International Journal of Environmental Research and Public Health, 15(4), 703. https://doi.org/10.3390/ijerph15040703
  • WHO. (2016). Urban green spaces and health. Copenhagen: WHO Regional Office for Europe. https://www.who.int/europe/publications/m/item/urban-green-space-and-health--intervention-impacts-and-effectiveness.
  • Willberg, E., Poom, A., Helle, J., & Toivonen, T. (2023). Cyclists’ exposure to air pollution, noise, and greenery: A population-level spatial analysis approach. International Journal of Health Geographics, 22(1), 5. https://doi.org/10.1186/s12942-023-00326-7
  • Woo, S.-H., Jang, H., Lee, S.-B., & Lee, S. (2022). Comparison of total PM emissions emitted from electric and internal combustion engine vehicles: An experimental analysis. Science of The Total Environment, 842, 156961. https://doi.org/10.1016/j.scitotenv.2022.156961
  • Xia, C., & Yeh, A. G. O. (2022). Mobility as a response to environmental hazards in the urban context: A new perspective on mobility and inequality. Travel Behaviour and Society, 27, 192–203. https://doi.org/10.1016/j.tbs.2022.01.008
  • Yoo, E., & Roberts, J. E. (2022). Static home-based versus dynamic mobility-based assessments of exposure to urban green space. Urban Forestry & Urban Greening, 70, 127528. https://doi.org/10.1016/j.ufug.2022.127528
  • Zhang, L., Zhou, S., & Kwan, M.-P. (2023). The temporality of geographic contexts: Individual environmental exposure has time-related effects on mood. Health & Place, 79, 102953. https://doi.org/10.1016/j.healthplace.2022.102953

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.