Beyond geometries of activity spaces: A holistic study of daily travel patterns, individual characteristics, and perceived wellbeing in Helsinki metropolitan area


  • Kamyar Hasanzadeh Aalto University
  • Michal Czepkiewicz University of Iceland
  • Jukka Heinonen University of Iceland
  • Marketta Kyttä Aalto University
  • Sanna Ala-Mantila Aalto University
  • Juudit Ottelin Aalto University



activity spaces, mobility, typology, PPGIS, wellbeing


Activity space (AS) is a measure of spatial behavior used to summarize the mobility behavior of individuals. Current studies often highlight the fact that AS is highly complex and multidimensional in character. Therefore, the need for more holistic approaches providing more comprehensive descriptions of mobility patterns is evident. This article assesses the activity spaces of young adults aged 25–40 living in the Helsinki metropolitan area using a dataset collected with an online map survey. Using a wide range of measurements covering different aspects of AS, we identified seven components that define activity spaces, namely size, intensity of activities, volume of trips, exteriority, polycentricity, elongation, and destination specialization. We then used the components together with travel mode use to identify a typology of daily mobility patterns. The results show that individuals with different types of AS differ significantly in their socio-demographic characteristics, such as age, gender, employment, household characteristics, and residential neighborhood. Furthermore, the study reveals interesting associations between AS characteristics and different aspects of wellbeing. Overall, the results highlight the importance of multidimensional and comprehensive approaches to understanding daily mobility of urban residents.

Author Biographies

Kamyar Hasanzadeh, Aalto University

PhD candidate, Department of built enviornment, School of engineering

Jukka Heinonen, University of Iceland

Professor, Sustainable Built Environment Faculty of Civil and Environmental Engineering

Marketta Kyttä, Aalto University

Professor, Land Use Planning, Department of Built Environment

Sanna Ala-Mantila, Aalto University

PhD candidate, Department of built enviornment, School of engineering

Juudit Ottelin, Aalto University

PhD candidate, Department of built enviornment, School of engineering


Axhausen, K. W. (2003). Social networks and travel: Some hypotheses. Transport and Society, 197, 90–108.

Banister, D. (2008). The sustainable mobility paradigm. Transport Policy, 15(2), 73–80.

Bertram, C., & Rehdanz, K. (2015). The role of urban green space for human well-being. Ecological Economics, 120, 139–152.

Brown, G. (2012). An empirical evaluation of the spatial accuracy of public participation GIS (PPGIS) data. Applied Geography, 34, 289–294.

Brown, G. (2016). A review of sampling effects and response bias in internet participatory mapping (PPGIS/PGIS/VGI). Transactions in GIS.

Brown, G., & Kyttä, M. (2014). Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research. Applied Geography, 46, 126–136.

Buliung, R. N., & Kanaroglou, P. S. (2006). Urban form and household activity-travel behavior. Growth and Change, 37(2), 172–199.

Buliung, R. N., Roorda, M. J., & Remmel, T. K. (2008). Exploring spatial variety in patterns of activity-travel behavior: Initial results from the Toronto Travel-Activity Panel Survey (TTAPS). Transportation, 35(6), 697–722.

Burnett, P., & Hanson, S. (1982). The analysis of travel as an example of complex human behavior in spatially-constrained situations: Definition and measurement issues. Transportation Research Part A: General, 16(2), 87–102.

Creatore, M. I., Glazier, R. H., Moineddin, R., Fazli, G. S., Johns, A., Gozdyra, P.,…Booth, G. L. (2016). Association of neighborhood walkability with change in overweight, obesity, and diabetes. Journal of the American Medical Association, 315(20), 2211–2220.

Czepkiewicz, M., Jankowski, P., & Młodkowski, M. (2016). Geo-questionnaires in urban planning: Recruitment methods, participant engagement, and data quality. Cartography and Geographic Information Science, 44(6), 551–567.

de Hartog, J. J., Boogaard, H., Nijland, H., & Hoek, G. (2010). Do the health benefits of cycling outweigh the risks? Environmental Health Perspectives.

Dijst, M. (1999). Two-earner families and their action spaces: A case study of two Dutch communities. GeoJournal, 48(3), 195–206.

Dodge, R., Daly, A., Huyton, J., & Sanders, L. (2012). The challenge of defining wellbeing. International Journal of Wellbeing, 2(3), 222–235.

Ewing, R., & Cervero, R. (2010). Travel and the built environment. Journal of the American Planning Association, 76(3), 265–294.

Fan, Y., & Khattak, A. (2008). Urban form, individual spatial footprints, and travel: Examination of space-use behavior. Transportation Research Record: Journal of the Transportation Research Board, 2082, 98–106.

Farber, S., & Páez, A. (2009). My car, my friends, and me: A preliminary analysis of automobility and social activity participation. Journal of Transport Geography, 17(3), 216–225.

Flamm, M. F., & Kaufmann, V. (2006). The concept of personal network of usual places as a tool for analyzing human activity spaces: A quantitative exploration. Conference Paper STRC 2006.

Friman, M., Gärling, T., Ettema, D., & Olsson, L. E. (2017). How does travel affect emotional well-being and life satisfaction? Transportation Research Part A: Policy and Practice, 106, 170–180.

Frumkin, H. (2002). Urban sprawl and public health. Public Health Reports.

Gatersleben, B., & Uzzell, D. (2007). Affective appraisals of the daily commute: Comparing perceptions of drivers, cyclists, walkers, and users of public transport. Environment and Behavior, 39(3), 416–431.

Glazier, R. H., Creatore, M. I., Weyman, J. T., Fazli, G., Matheson, F. I., Gozdyra, P., … Booth, G. L. (2014). Density, destinations or both? A comparison of measures of walkability in relation to transportation behaviors, obesity and diabetes in Toronto, Canada. PLoS ONE, 9(1).

Hägerstraand, T. (1970). What about people in regional science? Papers in Regional Science, 24(1), 7–24.

Handy, S. L., Boarnet, M. G., Ewing, R., & Killingsworth, R. E. (2002). How the built environment affects physical activity. American Journal of Preventive Medicine, 23(2), 64–73.

Hanson, S., & Hanson, P. (1981). The travel-activity patterns of urban residents: Dimensions and relationships to sociodemographic characteristics. Economic Geography, 57(4), 332–347.

Harding, C., Patterson, Z., Miranda-Moreno, L., & Zahabi, S. (2012). Modeling the effect of land use on activity spaces. Transportation Research Record: Journal of the Transportation Research Board, 2323, 67–74.

Hasanzadeh, K. (2018). IASM: Individualized activity space modeler. SoftwareX, 7, 138–142. Retrieved from

Hasanzadeh, K. (2019). Exploring centricity of activity spaces: From measurement to the identification of personal and environmental factors. Travel Behavior and Society, 14, 57–65.

Hasanzadeh, K., Broberg, A., & Kyttä, M. (2017). Where is my neighborhood? A dynamic individual-based definition of home zones. Applied Geography, 84(C), 1–10.

Hasanzadeh, K., Laatikainen, T., & Kyttä, M. (2018). A place-based model of local activity spaces: Individual place exposure and characteristics. Journal of Geographical Systems, 20(3), 227.

Haustein, S., & Hunecke, M. (2013). Identifying target groups for environmentally sustainable transport: Assessment of different segmentation approaches. Current Opinion in Environmental Sustainability.

Haybatollahi, M., Czepkiewicz, M., Laatikainen, T., & Kyttä, M. (2015). Neighborhood preferences, active travel behavior, and built environment: An exploratory study. Transportation Research Part F: Traffic Psychology and Behavior, 29, 57–69.

Hoehner, C. M., Handy, S. L., Yan, Y., Blair, S. N., & Berrigan, D. (2011). Association between neighborhood walkability, cardiorespiratory fitness and body-mass index. Social Science and Medicine, 73(12), 1707–1716.

Horton, F. E. H., & Reynolds, D. R. (1971). Effects of urban spatial structure on individual behavior. Economic Geography, 47(1), 36–48.

Hwang, H., Montréal, H., Dillon, W. R., & Takane, Y. (2006). An extension of multiple correspondence analysis for identifying heterogeneous subgroups of respondents. Psychometrika, 71(1), 161–171.

International Wellbeing Group (2013). Personal wellbeing index: 5th Edition. Melbourne: Australian Centre on Quality of Life, Deakin University. Retrieved from

Jarv, O., Muurisepp, K., Ahas, R., Derudder, B., & Witlox, F. (2015). Ethnic differences in activity spaces as a characteristic of segregation: A study based on mobile phone usage in Tallinn, Estonia. Urban Studies, 52(14), 2680–2698.

Kahila, M., & Kyttä, M. (2009). SoftGIS as a bridge-builder in collaborative urban planning. In Geojournal Library, Vol 95 (pp. 389–411). Basingstoke, UK: Springer Nature.

Kahneman, D., Krueger, A. B., Schkade, D. A., Schwarz, N., & Stone, A. A. (2004). A survey method for characterizing daily life experience: The day reconstruction method. Science, 306(5702), 1776–1780.

Kamruzzaman, M., & Hine, J. (2012). Analysis of rural activity spaces and transport disadvantage using a multi-method approach. Transport Policy, 19(1), 105–120.

Kenyon, S., Lyons, G., & Rafferty, J. (2002). Transport and social exclusion: Investigating the possibility of promoting inclusion through virtual mobility. Journal of Transport Geography, 10(3), 207–219.

Krizek, K., & Waddell, P. (2002). Analysis of lifestyle choices: Neighborhood type, travel patterns, and activity participation. Transportation Research Record: Journal of the Transportation Research Board, 1807, 119–128.

Kwan, M.-P. (2012a). Geographies of health. Annals of the Association of American Geographers, 102(5), 891–892.

Kwan, M.-P. (2012b). The uncertain geographic context problem. Annals of the Association of American Geographers, 102, 958–968.

Kwan, M.-P., & Schwanen, T. (2016). Geographies of mobility. Annals of the American Association of Geographers, 106(2), 243–256.

Laatikainen, T. E., Hasanzadeh, K., & Kyttä, M. (2018). Capturing exposure in environmental health research: Challenges and opportunities of different activity space models. International Journal of Health Geographics, 17(1), 29.

Lebart, L., Morineau, A., & Piron, M. (2000). Statistique exploratoire multidimensionnelle. Paris: Dunod. Retrieved from

Lee, N. C., Voss, C., Frazer, A. D., Hirsch, J. A., McKay, H. A., Winters, M., … Winters, M. (2015). Does activity space size influence physical activity levels of adolescents? A GPS study of an urban environment. Preventive Medicine Reports, 3, 75–78.

Lord, S., Joerin, F., & Thériault, M. (2009). La mobilité quotidienne de banlieusards vieillissants et âgés: Déplacements, aspirations et significations de la mobilité. Le Géographe Canadien, 53(3), 357–375.

Lu, X., & Pas, E. I. (1999). Socio-demographics, activity participation and travel behavior. Transportation Research Part A: Policy and Practice, 33(1), 1–18.

Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L. (2012). Neighborhood effects on the long-term well-being of low-income adults. Science, 337(6101), 1505–1510.

Manaugh, K., & El-Geneidy, A. (2012). What makes travel “local”: Defining and understanding local travel behavior. Journal of Transport and Land Use, 5(3), 15–27.

Meng, X. U. (2014). The impact of labor migration on regional disparities in economic growth. Journal of Zhanjiang Normal University, 3, 29.

Millard‐Ball, A., & Schipper, L. (2011). Are we reaching peak travel? Trends in passenger transport in eight industrialized countries. Transport Reviews, 31(3), 357–378.

Miranda-Moreno, L. F., Eluru, N., Lee-Gosselin, M., & Kreider, T. (2012). Impact of ICT access on personal activity space and greenhouse gas production: Evidence from Quebec City, Canada. Transportation, 39(5), 895–918.

Morris, E. A., & Guerra, E. (2014). Mood and mode: Does how we travel affect how we feel? Transportation, 42(1), 25–43.

Naess, P. (2012). Urban form and travel behavior: Experience from a Nordic context. Journal of Transport and Land Use, 5, 21–45.

Næss, P. (2013). Residential location, transport rationales and daily-life travel behavior: The case of Hangzhou metropolitan area, China. Progress in Planning, 79(1), 1–50.

Newman, P., Kosonen, L., & Kenworthy, J. (2016). Theory of urban fabrics: Planning the walking, transit/public transport and automobile/motor car cities for reduced car dependency. Town Planning Review, 87(4), 429–458.

Newsome, T. H., Walcott, W. A., & Smith, P. D. (1998). Urban activity spaces: Illustrations and application of a conceptual model for integrating the time and space dimensions. Transportation, 25(4), 357–377.

Northridge, M. E., & Freeman, L. (2011). Urban planning and health equity. Journal of Urban Health, 88(3), 582–597.

OECD. (2013). OECD guidelines on measuring subjective well-being. Paris: OECD. Retrieved from

Ohnmacht, T., Götz, K., & Schad, H. (2009). Leisure mobility styles in Swiss conurbations: Construction and empirical analysis. Transportation, 36(2), 243–265.

Patterson, Z., & Farber, S. (2015). Potential path areas and activity spaces in application: A review. Transport Reviews, 35(6), 679–700.

Perchoux, C., Chaix, B., Cummins, S., & Kestens, Y. (2013). Conceptualization and measurement of environmental exposure in epidemiology: Accounting for activity space related to daily mobility. Health & Place, 21, 86–93.

Perchoux, C., Kestens, Y., Thomas, F., van Hulst, A., Thierry, B., & Chaix, B. (2014). Assessing patterns of spatial behavior in health studies: Their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study). Social Science and Medicine, 119, 64–73.

Perez, L. G., Conway, T. L., Bauman, A., Kerr, J., Elder, J. P., Arredondo, E. M., & Sallis, J. F. (2018). Sociodemographic moderators of environment–physical activity associations: Results from the international prevalence study. Journal of Physical Activity and Health, 15(1), 22–29.

Prillwitz, J., & Barr, S. (2011). Moving towards sustainability? Mobility styles, attitudes and individual travel behavior. Journal of Transport Geography, 19(6), 1590–1600.

Pucher, J., Buehler, R., Bassett, D. R., & Dannenberg, A. L. (2010). Walking and cycling to health: A comparative analysis of city, state, and international data. American Journal of Public Health, 100(10), 1986–1992.

Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. New York: Simon and Schuster.

Rai, P., & Daumé III, H. (n.d.). The Infinite hierarchical factor regression model. Retrieved from

Rai, R., Balmer, M., Rieser, M., Vaze, V., Schönfelder, S., & Axhausen, K. (2007). Capturing human activity spaces: New geometries. Transportation Research Record: Journal of the Transportation Research Board, 2021, 70–80.

Rainham, D., McDowell, I., Krewski, D., & Sawada, M. (2010). Conceptualizing the healthscape: Contributions of time geography, location technologies and spatial ecology to place and health research. Social Science and Medicine, 70(5), 668–676.

Richardson, E. A., Pearce, J., Mitchell, R., & Kingham, S. (2013). Role of physical activity in the relationship between urban green space and health. Public Health, 127(4), 318–324.

Salonen, M., Broberg, A., Kyttä, M., & Toivonen, T. (2014). Do suburban residents prefer the fastest or low-carbon travel modes? Combining public participation GIS and multimodal travel time analysis for daily mobility research. Applied Geography, 53, 438–448.

Sarjala, S.-M., Broberg, A., & Hynynen, A. (2015). Children and youth transport in different urban morphological types. Journal of Transport and Land Use, 9(2), 87–103.

Schönfelder, S., & Axhausen, K. (2004). Structure and innovation of human activity spaces. Arbeitsberichte Verkehrs-Und Raumplanung, 258(October), 1–40.

Schönfelder, S., & Axhausen, K. W. (2002a). Measuring the size and structure of human activity spaces. Transportation Research, (February), 49.

Schönfelder, S., & Axhausen, K. W. (2002b). On the variability of human activity spaces. Arbeitsbericht Verkehrs-Und Raumplanung, 149, 237–262.

Schönfelder, S., & Axhausen, K. W. (2003). Activity spaces: Measures of social exclusion? Transport Policy, 10(4), 273–286.

Shephard, R. J. (2008). Is active commuting the answer to population health? Sports Medicine, 38(9), 751–758.

Sherman, J. E., Spencer, J., Preisser, J. S., Gesler, W. M., & Arcury, T. A. (2005). A suite of methods for representing activity space in a healthcare accessibility study. International Journal of Health Geographics, 4(1), 24.

Shin, D. C., & Johnson, D. M. (1978). Avowed happiness as an overall assessment of the quality of life. Social Indicators Research, 5(1–4), 475–492.

Söderström, P., Schulman, H., & Ristimäki, M. (2015). Urban form in the Helsinki and Stockholm city regions–Development of pedestrian, public transport and car zones. Report of the Finnish Environment Institute No. 16/2015. Retrieved from

Stutzer, A., & Frey, B. S. (2008). Stress that doesn’t pay: The commuting paradox. Scandinavian Journal of Economics, 110(2), 33 9–366.

Tana, Kwan, M.-P., Chai, Y. (2016). Urban form, car ownership and activity space in inner suburbs: A comparison between Beijing (China) and Chicago (United States). Urban Studies, 53(9), 1784–1802.

Vallée, J., Cadot, E., Roustit, C., Parizot, I., & Chauvin, P. (2011). The role of daily mobility in mental health inequalities: The interactive influence of activity space and neighborhood of residence on depression. Social Science & Medicine, 73(8), 1133–1144.

van Acker, V., van Wee, B., & Witlox, F. (2010). When transport geography meets social psychology: Toward a conceptual model of travel behavior. Transport Reviews, 30(2), 219–240.

WHOQOL. (1993). Study protocol for the World Health Organization project to develop a quality of life assessment instrument (WHOQOL). Quality of Life Research, 2(2), 153–159.

Xu, Y., Shaw, S.-L., Zhao, Z., Yin, L., Lu, F., Chen, J., … Li, Q. (2016). Another tale of two cities: Understanding human activity space using actively tracked cellphone location data. Annals of the American Association of Geographers, 106(2), 489–502.



How to Cite

Hasanzadeh, K., Czepkiewicz, M., Heinonen, J., Kyttä, M., Ala-Mantila, S., & Ottelin, J. (2019). Beyond geometries of activity spaces: A holistic study of daily travel patterns, individual characteristics, and perceived wellbeing in Helsinki metropolitan area. Journal of Transport and Land Use, 12(1).