Categories: Travel

Age-period-cohort results on journey mobility: proof from Taiwan

This web page was created programmatically, to learn the article in its authentic location you possibly can go to the hyperlink bellow:
https://www.nature.com/articles/s41599-026-06695-1
and if you wish to take away this text from our web site please contact us


  • Abe R, Ikarashi T, Takada S, Fukuda D (2023) Impact of working from dwelling on journey habits of rail and automotive commuters: a case research within the Tokyo metropolitan space. Case Stud Transp Policy 11: 100938


    Google Scholar
     

  • Bartl E, Bauer A, Weigert M, Karl M, Schmude J, Küchenhoff H (2024) Disentangling temporal modifications in journey habits: An age-period-cohort evaluation based mostly on German journey demand. Annals of Tourism Research Empirical Insights 5(2):100155


    Google Scholar
     

  • Bastian A, Borjesson M (2015) Peak Car? Drivers of the current decline in Swedish automotive use. Transp Policy 42:94–102


    Google Scholar
     

  • Bastian A, Borjesson M, Eliasson J (2016) Explaining “Peak Car” with financial variables. Transp Res Part A: Policy Pract 88:236–250


    Google Scholar
     

  • Berri A (2009) A cross-country comparability of family automotive possession. IATSS Res 33(2):21–38


    Google Scholar
     

  • Blinder AS (1973) Wage discrimination: decreased kind and structural estimates. J Hum Resour 8(4):436–455.


    Google Scholar
     

  • Breusch TS, Pagan AR (1979) A easy check for heteroscedasticity and random coefficient variation. Econometrica 47(5):1287–1294


    Google Scholar
     

  • Bussiere YD, Madre J-L, Tapia-Villarreal I (2019) Will peak automotive noticed within the North happen within the South? A demographic method with case research of Montreal, Lille, Juarez and Puebla. Econ Anal Policy 61:39–54


    Google Scholar
     

  • Cai M, Shen Q, Wang Y, Brown, Ban MX, Ashour L-A (2024) Examining commute mode alternative of important staff earlier than and in the course of the COVID-19 pandemic—a case research of the University of Washington. Case Stud Transp Policy 15: 101129


    Google Scholar
     

  • Chng S, White MP, Abraham C, Skippon S (2019) Consideration of environmental elements in reflections on automotive purchases: attitudinal, behavioural and sociodemographic predictors amongst a big UK pattern. J Clean Prod 230:927–936


    Google Scholar
     

  • Cohen J, Cohen P, West SG, Aiken LS (2003) Applied a number of regression/correlation evaluation for the behavioral sciences, third edn. Lawrence Erlbaum, Hillsdale, NJ

  • Cook RD (1977) Detection of influential observations in linear regression. Technometrics 19(1):15–18


    Google Scholar
     

  • Deaton A, Paxson CH (1994) Saving, progress, and getting older in Taiwan. In: Wise DA (ed) Studies within the economics of getting older. Chicago University Press, 331–362

  • Deaton A (1997) The evaluation of family surveys: a microeconometric method to growth coverage. The Johns Hopkins University Press, Baltimore, MD

  • Delbosc A, McDonald N, Stokes G, Lucas Ok, Circella G, Lee Y (2019) Millennials in cities: evaluating journey behaviour traits throughout six case research areas. Cities 90:1–14


    Google Scholar
     

  • Delbosc A, Naznin F (2019) Future life course and mobility: a latent class evaluation of younger adults in Victoria, Australia. Transp Policy 77:104–116


    Google Scholar
     

  • Dissanayake D, Kurauchi S, Morikawa T, Ohashi S (2012) Inter-regional and inter-temporal evaluation of journey behaviour for Asian metropolitan cities: case research of Bangkok, Kuala Lumpur, Manila, and Nagoya. Transp Policy 19(1):36–46


    Google Scholar
     

  • Doddamani C, Manoj M (2022) Residential relocation and modifications in family car possession and journey habits: exploring the context of Hubli–Dharwad Twin-Cities in India from a planning viewpoint. Transp Res Part A: Policy Pract 164:134–155


    Google Scholar
     

  • Dütschke E, Engel L, Theis A, Hanss D (2022) Car driving, air journey or extra sustainable transport? Socio-psychological elements in on a regular basis mobility and long-distance leisure journey. Travel Behav Soc 28:115–127


    Google Scholar
     

  • Echeverría L, Gimenez-Nadal JI, Molina JA (2022) Who makes use of inexperienced mobility? Exploring profiles in developed international locations. Transp Res Part A: Policy Pract 163:247–265


    Google Scholar
     

  • Elldér E, Vilhelmson B, Thulin E (2023) Is a automotive needed for lively getting older? Relationships between getting older, automotive use, and time spent on actions that maintain well being and well-being. Transp Res Interdiscip Perspect 22: 100920


    Google Scholar
     

  • Focas C, Cristidis P (2017) Peak automotive in Europe? Transp Res Procedia 25:531–550


    Google Scholar
     

  • Fox J, Monette G (1992) Generalized collinearity diagnostics. J Am Stat Assoc 87(417):178–183


    Google Scholar
     

  • Gardiner S, Grace D, King C (2014) The era impact. J Travel Res 53(6):705–720


    Google Scholar
     

  • Garikapati VM, Pendyala RM, Morris EA, Mokhtarian PL, McDonald N (2016) Activity patterns, time use, and journey of millennials: a era in transition? Transp Rev 36(5):558–584


    Google Scholar
     

  • Gim T-HT (2016) Testing the reciprocal relationship between attitudes and land use in relation to journey frequencies: a nonrecursive mannequin. Int Reg Sci Rev 39(2):203–227


    Google Scholar
     

  • Goodwin P, Van Dender Ok (2013) Peak automotive—themes and points. Transp Rev 33(3):243–254


    Google Scholar
     

  • He SY, Cheung YHY, Tao S (2018) Travel mobility and social participation amongst older folks in a transit metropolis: a socio-spatial-temporal perspective. Transp Res Part A: Policy Pract 118:608–626


    Google Scholar
     

  • Hjorthol R (2016) Decreasing recognition of the automotive? Changes in driving licence and entry to a automotive amongst younger adults over a 25-year interval in Norway. J Transp Geogr 51:140–146


    Google Scholar
     

  • Holford TR (1992) Analysing the temporal results of age, interval and cohort. Stat Methods Med Res 1(3):317–337


    Google Scholar
     

  • Huber PJ (1973) Robust regression: asymptotics, conjectures and Monte Carlo. Ann Stat 1(5):799–821


    Google Scholar
     

  • Hu L (2017) Changing journey habits of Asian immigrants within the U.S. Transp Res Part A: Policy Pract 106:248–260


    Google Scholar
     

  • Jann B (2008) The Blinder–Oaxaca decomposition for linear regression fashions. Stata J 8:453–479


    Google Scholar
     

  • Keyes KM, Utz RL, Robinson W, Li G (2010) What is a cohort impact? Comparison of three statistical strategies for modelling cohort results in weight problems prevalence within the United States, 1971–2006. Soc Sci Med 70:1100–1108


    Google Scholar
     

  • Klein NJ, Smart MJ (2017) Millennials and automotive possession: much less cash, fewer vehicles. Transp Policy 53:20–29


    Google Scholar
     

  • Kuhnimhof T, Armoogum J, Buehler R, Dargay J, Denstadli JM, Yamamoto T (2012a) Men form a downward development in automotive use amongst younger adults: proof from six industrialized international locations. Transp Rev 32(6):761–779


    Google Scholar
     

  • Kuhnimhof T, Buehler R, Wirtz M, Kalinowska D (2012b) Travel traits amongst younger adults in Germany: rising multimodality and declining automotive use for males. J Transp Geogr 24:443–450


    Google Scholar
     

  • Kuhnimhof T, Zumkeller D, Chlond B (2013) Who made peak automotive, and the way? A breakdown of traits over 4 many years in 4 international locations. Transp Rev; 33(3):325–342


    Google Scholar
     

  • Maruyama T, Fukahori T (2020) Households with each member out-of-home (HEMO): comparability utilizing the 1984, 1997, and 2012 family journey surveys in Kumamoto, Japan. J Transp Geogr 82: 102632


    Google Scholar
     

  • Mason WM, Fienberg SE (1985) Cohort evaluation in social analysis: past the identification downside. Springer-Verlag, New York

  • Mattioli G, Scheiner J, Holz-Rau C (2022) Generational variations, socialisation results and ‘mobility links’ in worldwide vacation journey. J Transp Geogr 98: 103263


    Google Scholar
     

  • McDonald NC (2015) Are millennials actually the “Go-nowhere” era? J Am Plan Assoc 81(2):90–103


    Google Scholar
     

  • Metz D (2013) Peak automotive and past: the fourth period of journey. Transp Rev; 33(3):255–270


    Google Scholar
     

  • Micklewright J (1994) The evaluation of pooled cross-sectional. In: Dale A, Davies RB (eds) Analyzing social and political change: a casebook of strategies. Sage Publications

  • Millard-Ball A, Schipper L (2011) Are we reaching peak journey? Trends in passenger transport in eight industrialized international locations. Transp Rev 31(3):357–378


    Google Scholar
     

  • Ministry of the Interior (MOI) (2025) 2024 Statistical yearbook of inside, Republic of China. Ministry of the Interior (MOI), New York

  • Ministry of Transportation and Communications (MOTC) (2016) 2008 Small non-public passenger vehicles utilization survey (public entry information) (AG080001) [data file]. Available from Survey Research Data Archive, Academia Sinica. https://doi.org/10.6141/TW-SRDA-AG080001-1

  • Ministry of Transportation and Communications (MOTC) (2020) 2018 Small non-public passenger vehicles utilization survey (public entry information) (AG080006) [data file]. Available from Survey Research Data Archive, Academia Sinica. https://doi.org/10.6141/TW-SRDA-AG080006-1

  • Ministry of Transportation and Communications (MOTC) (2022) 2020 Small non-public passenger vehicles utilization survey (public entry information) (AG080007) [data file]. Available from Survey Research Data Archive, Academia Sinica. https://doi.org/10.6141/TW-SRDA-AG080007-1

  • Ministry of Transportation and Communications (MOTC) (2025) 2024 Statistical summary of transportation and communications, Republic of China. Ministry of Transportation and Communications (MOTC)

  • Newbold B, Scott D, Spinney J, Kanaroglou P, Páez A (2005) Travel habits inside Canada’s older inhabitants: a cohort evaluation. J Transp Geogr 13:340–351


    Google Scholar
     

  • Nkeki FN, Asikhia MO (2019) Geographically weighted logistic regression method to discover the spatial variability in journey behaviour and constructed atmosphere interactions: accounting concurrently for demographic and socioeconomic traits. Appl Geogr 108:47–63


    Google Scholar
     

  • Oakil ATM, Manting D, Nijland H (2016) Determinants of automotive possession amongst younger households within the Netherlands: the position of urbanisation and demographic and financial traits. J Transp Geogr 51:229–235


    Google Scholar
     

  • Oaxaca R (1973) Male-female wage differentials in city labor markets. Int Econ Rev 14:693–709


    Google Scholar
     

  • Ramos EMS, Bergstad CK, Nässén J (2020) Understanding day by day automotive use: driving habits, motives, attitudes, and norms throughout journey functions. Transp Res Part F: Traffic Psychol Behav 68:306–315


    Google Scholar
     

  • Rentz JO, Reynolds FD (1981) Separating age, cohort and interval results in shopper habits. Adv Consum Res 8:596–601


    Google Scholar
     

  • Roos JM, Sprei F, Holmberg U (2020) Sociodemography, geography, and character as determinants of automotive driving and use of public transportation. Behav Sci 10(6):93.


    Google Scholar
     

  • Rosqvist LS, Hiselius LW (2019) Understanding excessive automotive use in relation to coverage measures based mostly on Swedish information. Case Stud Transp Policy 7(1):28–36


    Google Scholar
     

  • Ryder NB (1965) The cohort as an idea within the research of social change. Am Sociol Rev 30(6):843–861


    Google Scholar
     

  • Sasaki Y, Wang Y (2023) Diagnostic testing of finite second situations for the consistency and root-n asymptotic normality of the GMM and M Estimators. J Bus Econ Stat 41(2):339–348.


    Google Scholar
     

  • Scheiner J, Holz-Rau C (2013) A complete research of life course, cohort, and interval results on modifications in journey mode use. Transp Res Part A: Policy Pract 47:167–181


    Google Scholar
     

  • Soltani A, Pojani D, Askari S, Masoumi HE (2018) Socio-demographic and constructed atmosphere determinants of automotive use amongst older adults in Iran. J Transp Geogr 68:109–117


    Google Scholar
     

  • Stapleton L, Sorrell S, Schwanen T (2017) Peak automotive and rising rebound: a better take a look at automotive journey traits in Great Britain. Transp Res Part D: Transp Environ 53:217–233


    Google Scholar
     

  • Tilley S, Houston D (2016) The gender turnaround: younger ladies now travelling greater than younger males. J Transp Geogr 54:349–358


    Google Scholar
     

  • van der Waard J, Jorritsma P, Immers B (2013) New drivers in mobility: what strikes the Dutch in 2012? Transp Rev 33(3):343–359


    Google Scholar
     

  • Vanegas LH, Rondón LM, Paula GA (2023) glmtoolbox: set of instruments to information evaluation utilizing generalized linear fashions. R bundle model 0.1.7. https://CRAN.R-project.org/package=glmtoolbox

  • Wang X (2019) Has the connection between city and suburban car journey modified throughout generations? Comparing Millennials and Generation Xers within the United States. Transp Res Part A: Policy Pract 129:107–122


    Google Scholar
     

  • Wang X, Renne JL (2023) Socioeconomics of city journey within the U.S.: proof from the 2017 NHTS. Transp Res Part D: Transp Environ 116(3):103622


    Google Scholar
     

  • Yang Y (2008) Social inequalities in happiness within the United States, 1972 to 2004: an age period-cohort evaluation. Am Sociol Rev 73(2):204–226


    Google Scholar
     

  • Yang Y, Schulhofer-Wohl S, Fu WJ, Land KC (2008) The intrinsic estimator for age–interval–cohort evaluation: what it’s and find out how to use it. Am J Sociol 113(6):1697–1736


    Google Scholar
     

  • Yu J, Li W, Song Z, Wang S, Ma J, Wang B (2023a) The position of attitudinal options on shared autonomous autos. Res Transp Bus Manag 50:101032


    Google Scholar
     

  • Yu J, Zheng Y, Li W, Zhang J, Guo R, Wu L (2023b) Understanding flex-route transit adoption from a stage of change perspective. Transp Res Rec 2677(6):743–758.


    Google Scholar
     

  • Yu J, Wang S, Ma J, Song Z, Li W (2024a) Roles of attitudinal elements on the adoption levels of carsharing. Transp Lett 16(6):542–553


    Google Scholar
     

  • Yu J, Li W, Zhang J, Guo R, Zheng Y (2024b) Understanding the impact of sociodemographic and psychological latent traits on flex-route transit acceptance. PLoS ONE 18(2):e0279058.


    Google Scholar
     

  • Zhao P, Zhang Y (2018) Travel behaviour and life course: analyzing modifications in automotive use after residential relocation in Beijing. J Transp Geogr 73:41–53


    Google Scholar
     

  • Zhou M, Wang D (2019) Generational variations in attitudes in the direction of automotive, automotive possession and automotive use in Beijing. Transp Res Part D: Transp Environ 72:261–278


    Google Scholar
     


  • This web page was created programmatically, to learn the article in its authentic location you possibly can go to the hyperlink bellow:
    https://www.nature.com/articles/s41599-026-06695-1
    and if you wish to take away this text from our web site please contact us

    fooshya

    Share
    Published by
    fooshya

    Recent Posts

    Men’s and Women’s Swimming 2025-26 Season Recap

    This web page was created programmatically, to learn the article in its unique location you'll…

    13 minutes ago

    Travelport and Fox World Travel Lengthen Strategic Relationship

    This web page was created programmatically, to learn the article in its authentic location you…

    16 minutes ago

    It’s Time to Admit Working in VR Has Been One Huge Failure

    This web page was created programmatically, to learn the article in its authentic location you…

    19 minutes ago

    RIDE 6 gives loads of enjoyable for newcomers and followers alike

    This web page was created programmatically, to learn the article in its unique location you…

    23 minutes ago

    Genetic and Lifestyle Risks Stratify Extreme Diverticulitis

    This web page was created programmatically, to learn the article in its authentic location you…

    26 minutes ago