Technical Papers
Jul 19, 2021

Commuters' Preference to Walk: Developing a Structural Equation Model Considering Current Amount of Walking and Subjective and Environmental Factors

Publication: Journal of Urban Planning and Development
Volume 147, Issue 4

Abstract

One important research question related to walking for transportation is whether people like to walk more or not. Past research on walking-related travel behavior has mainly considered objective measures of walking, quantifying trips that were actually taken. This paper emphasized tendency to walk more (TWM) as a subjective measure of walking in traveling to/from work. Data was collected in 2015 in the urban area of Rasht, Iran from 432 working commuters. A full-scale structural equation model was applied to explore relationships between the TWM and variables measuring the current amount of walking, attitudes, individual personality, and built-environment characteristics. Results showed that the current amount of walking was the highest determinant of TWM. Results demonstrated that positive attitudes toward walking affect the TWM both directly and indirectly and its effects were even greater than having a walkable environment. Considering the indirect effect of positive attitudes on the TWM increased the total effect of this variable by 13.8% relative to the model with the direct effect only while keeping all other relationships in the two models the same.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The authors acknowledge the survey team and appreciate Sara Mahmoodi because of her supports.

References

Ajzen, I. 1991. “The theory of planned behavior.” Org. Behav. Human Decis. Processes 50 (2): 179–211. https://doi.org/10.1016/0749-5978(91)90020-T.
Anderson, J. C., and D. W. Gerbing. 1988. “Structural equation modeling in practice: A review and recommended two-step approach.” Psychol. Bull. 103 (3): 411–423. https://doi.org/10.1037/0033-2909.103.3.411.
Antonio Florindo, A., J. P. D. A. Souza Barbosa, V. Ligia Barrozo, D. Roque Andrade, B. Souza de Aguiar, M. Antunes Failla, L. Gunn, S. Mavoa, G. Turrell, and M. Goldbaum. 2019. “Walking for transportation and built environment in Sao Paulo city, Brazil.” J. Transp. Health 15: 100611. https://doi.org/10.1016/j.jth.2019.100611.
Baker, J., R. Basu, M. Cropper, S. Lall, and A. Takeuchi. 2005. Urban poverty and transport: The case of Mumbai. Policy Research Working Paper No. 3693. Washington, DC: World Bank.
Bentler, P. M., and P. Dudgeon. 1996. “Covariance structure analysis: Statistical practice, theory, and directions.” Annu. Rev. Psychol. 47 (1): 563–592. https://doi.org/10.1146/annurev.psych.47.1.563.
Bentley, R., T. Blakely, A. Kavanagh, Z. Aitken, T. King, P. McElwee, B. Giles-Corti, and G. Turrell. 2018. “A longitudinal study examining changes in street connectivity, land use, and density of dwellings and walking for transport in Brisbane, Australia.” Environ. Health Perspect. 126 (5): 057003. https://doi.org/10.1289/EHP2080.
Bopp, M., T. A. Kaczynski, and G. Besenyi. 2012. “Active commuting influences among adults.” Preventive Med. 54 (3–4): 237–241. https://doi.org/10.1016/j.ypmed.2012.01.016.
Brown, T. A. 2006. Confirmatory factor analysis for applied research. New York: Guilford Press.
Browne, M. W. 1984. “Asymptotically distribution-free methods for the analysis of covariance structures.” Br. J. Math. Stat. Psychol. 37 (1): 62–83. https://doi.org/10.1111/j.2044-8317.1984.tb00789.x.
Byrne, B. M. 2001. Structural equation modeling with AMOS: Basic concepts, applications. Mahwah, NJ: Lawrence Erlbaum Associates.
Cao, X., P. L. Mokhtarian, and S. L. Handy. 2009. “The relationship between the built environment and nonwork travel: A case study of Northern California.” Transp. Res. Part A Policy Pract. 43 (5): 548–555. https://doi.org/10.1016/j.tra.2009.02.001.
Carlson, S. A., G. P. Whitfield, E. L. Peterson, E. N. Ussery, K. B. Watson, D. Berrigan, and J. E. Fulton. 2018. “Geographic and urban-rural differences in walking for leisure and transportation.” Am. J. Preventive Med. 55 (6): 887–895. https://doi.org/10.1016/j.amepre.2018.07.008.
Cervero, R., and K. Kockelman. 1997. “Travel demand and the 3Ds: Density, diversity, and design.” Transp. Res. Part D Transp. Environ. 2 (3): 199–219. https://doi.org/10.1016/S1361-9209(97)00009-6.
Cervero, R., O. L. Sarmiento, E. Jacoby, L. F. Gomez, and A. Neiman. 2009. “Influences of built environments on walking and cycling: Lessons from Bogotá.” Int. J. Sustainable Transp. 3 (4): 203–226. https://doi.org/10.1080/15568310802178314.
Collantes, G. O., and P. L. Mokhtarian. 2007. “Subjective assessments of personal mobility: What makes the difference between a little and a lot?” Transp. Policy 14 (3): 181–192. https://doi.org/10.1016/j.tranpol.2006.12.002.
Coogan, M. A., T. Adler, and K. Karash. 2012. “The paths from walk preference to walk behavior: Applying latent factors in structural equation modeling.” J. Transp. Land Use 5 (3): 68–82. https://doi.org/10.5198/jtlu.v5i3.269.
DHUDG (Department of Housing and Urban Development of Guilan). 2007. “The current situation - the built environment.” Chap. 2, Vol. 4 of Urban master plan of the city of Rasht. [In Persian.] Rasht, Iran: DHUDG.
Dill, J., C. Mohr, and L. Ma. 2011. “The role of the built environment and psychology on bicycling and walking behavior: What matters? What comes first?” In Poster Session. Active Living Research Annual Conf. La Jolla, CA: Active Living Research.
Etminani-Ghasrodashti, R., and M. Ardeshiri. 2015. “Modeling travel behavior by the structural relationships between lifestyle, built environment and non-working trips.” Transp. Res. Part A Policy Pract. 78: 506–518. https://doi.org/10.1016/j.tra.2015.06.016.
Ewing, R., G. Tian, J. Goates, M. Zhang, M. J. Greenwald, A. Joyce, J. Kircher, and W. Greene. 2014. “Varying influences of the built environment on household travel in 15 diverse regions of the United States.” Urban Stud. 52 (13): 2330–2348. https://doi.org/10.1177/0042098014560991.
Frank, L. D., M. A. Andresen, and T. L. Schmid. 2004. “Obesity relationships with community design, physical activity, and time spent in cars.” Am. J. Preventive Med. 27 (2): 87–96. https://doi.org/10.1016/j.amepre.2004.04.011.
Frank, L. D., T. L. Schmid, J. F. Sallis, J. Chapman, and B. E. Saelens. 2005. “Linking objectively measured physical activity with objectively measured urban form—Findings from Smartraq.” Am. J. Preventive Med. 28 (2): 117–125. https://doi.org/10.1016/j.amepre.2004.11.001.
Guliani, A., R. Mitra, R. N. Buliung, K. Larsen, and G. E. Faulkner. 2015. “Gender-based differences in school travel mode choice behaviour: Examining the relationship between the neighborhood environment and perceived traffic safety.” J. Transp. Health 2 (4): 502–511. https://doi.org/10.1016/j.jth.2015.08.008.
Handy, S., X. Cao, and P. L. Mokhtarian. 2006. “Self-selection in the relationship between the built environment and walking: Empirical evidence from Northern California.” J. Am. Plann. Assoc. 72 (1): 55–74. https://doi.org/10.1080/01944360608976724.
Hatamzadeh, Y. 2019. “Do people desire to walk more in commuting to work? Examining a conceptual model based on the role of perceived walking distance and positive attitudes.” Transp. Res. Rec. 2673 (7): 351–361. https://doi.org/10.1177/0361198119849397.
Hatamzadeh, Y., M. Habibian, and A. Khodaii. 2017. “Walking and jobs: A comparative analysis to explore factors influencing flexible and fixed schedule workers, a case study of Rasht, Iran.” Sustainable Cities Soc. 31: 74–82. https://doi.org/10.1016/j.scs.2017.02.012.
Hatamzadeh, Y., M. Habibian, and A. Khodaii. 2020a. “Walking mode choice across genders for purposes of work and shopping: A case study of an Iranian city.” Int. J. Sustainable Transp. 14 (5): 389–402. https://doi.org/10.1080/15568318.2019.1570404.
Hatamzadeh, Y., M. Habibian, and A. Khodaii. 2020b. “Measuring walking behaviour in commuting to work: Investigating the role of subjective, environmental and socioeconomic factors in a structural model.” Int. J. Urban Sci. 24 (2): 173–188. https://doi.org/10.1080/12265934.2019.1661273.
Hatcher, L. 1994. A step-by-step approach to using the SAS system for factor analysis and structural equation modeling. Cary, NC: SAS Institute.
Howell, N. A., S. Farber, M. J. Widener, and G. L. Booth. 2017. “Residential or activity space walkability: What drives transportation physical activity?” J. Transp. Health 7: 160–171. https://doi.org/10.1016/j.jth.2017.08.011.
Kamargianni, M., S. Dubey, A. Polydoropoulou, and C. Bhat. 2015. “Investigating the subjective and objective factors influencing teenagers’ school travel mode choice—An integrated choice and latent variable model.” Transp. Res. Part A Policy Pract. 78: 473–488. https://doi.org/10.1016/j.tra.2015.06.011.
Kelly, C. E., M. R. Tight, F. C. Hodgson, and M. W. Page. 2011. “A comparison of three methods for assessing the walkability of the pedestrian environment.” J. Transp. Geogr. 19 (6): 1500–1508. https://doi.org/10.1016/j.jtrangeo.2010.08.001.
Kennedy, P. 1998. A guide to econometrics. 4h ed. Cambridge, MA: MIT Press.
Knuiman, M. W., H. E. Christian, M. L. Divitini, S. A. Foster, F. C. Bull, H. M. Badland, and B. Giles-Corti. 2014. “A longitudinal analysis of the influence of the neighborhood built environment on walking for transportation: The RESIDE study.” Am. J. Epidemiol. 180 (5): 453–461. https://doi.org/10.1093/aje/kwu171.
Kunieda, M., and A. Gauthier. 2007. Gender and urban transport. Fashionable and affordable, sustainable transport: A source book for policy makers in developing cities, module 7a. Eschborn, Germany: GTZ.
Kuzmyak, J. R., C. Baber, and D. Savory. 2006. “Use of walk opportunities index to quantify local accessibility.” Transp. Res. Rec. 1977 (1): 145–153. https://doi.org/10.1177/0361198106197700117.
Lachapelle, U., and R. B. Noland. 2012. “Does the commute mode affect the frequency of walking behavior? The public transit link.” Transp. Policy 21: 26–36. https://doi.org/10.1016/j.tranpol.2012.01.008.
Manaugh, K., and A. El-Geneidy. 2011. “Validating walkability indices: How do different households respond to the walkability of their neighborhood?” Transp. Res. Part D Transp. Environ. 16 (4): 309–315. https://doi.org/10.1016/j.trd.2011.01.009.
Manaugh, K., and A. M. El-Geneidy. 2013. “Does distance matter? Exploring the links among values, motivations, home location, and satisfaction in walking trips.” Transp. Res. Part A Policy Pract. 50: 198–208. https://doi.org/10.1016/j.tra.2013.01.044.
McCormack, G. R., B. Giles-Corti, and M. Bulsara. 2008. “The relationship between destination proximity, destination mix and physical activity behaviors.” Preventive Med. 46 (1): 33–40. https://doi.org/10.1016/j.ypmed.2007.01.013.
McGinn, A. P., K. R. Evenson, A. H. Herring, S. L. Huston, and D. A. Rodriguez. 2007. “Exploring associations between physical activity and perceived and objective measures of the built, environment.” J. Urban Health 84 (2): 162–184. https://doi.org/10.1007/s11524-006-9136-4.
Millward, H., J. Spinney, and D. Scott. 2013. “Active-transport walking behavior: Destinations, durations, distances.” J. Transp. Geogr. 28: 101–110. https://doi.org/10.1016/j.jtrangeo.2012.11.012.
Moniruzzaman, M., and A. Paez. 2016. “An investigation of the attributes of walkable environments from the perspective of seniors in Montreal.” J. Transp. Geogr. 51: 85–96. https://doi.org/10.1016/j.jtrangeo.2015.12.001.
Motte, B., A. Aguilera, O. Bonin, and C. D. Nassi. 2016. “Commuting patterns in the metropolitan region of Rio de Janeiro. What differences between formal and informal jobs?” J. Transp. Geogr. 51: 59–69. https://doi.org/10.1016/j.jtrangeo.2015.10.019.
Neatt, K., H. Millward, and J. Spinney. 2017. “Neighborhood walking densities: A multivariate analysis in Halifax, Canada.” J. Transp. Geogr. 61: 9–16. https://doi.org/10.1016/j.jtrangeo.2017.04.005.
Ory, D. T., and P. L. Mokhtarian. 2009. “Modeling the structural relationships among short-distance travel amounts, perceptions, affections, and desires.” Transp. Res. Part A Policy Pract. 43 (1): 26–43. https://doi.org/10.1016/j.tra.2008.06.004.
Paul, S., K. Born, K. McElduff, R. M. Pendyala, and C. R. Bhat. 2013. “Exploring the characteristics of short trips: Implications for walk mode choice.” In Annual Meeting of the Transportation Research Board, 1–14. Washington, DC: Transportation Research Board.
Pollard, T. M., and J. M. Wagnild. 2017. “Gender differences in walking (for leisure, transport and in total) across adult life: A systematic review.” BMC Public Health 17 (1): 1–11. https://doi.org/10.1186/s12889-016-3954-4.
Rasht Comprehensive Transportation Planning Study. 2011. Final Rep. (Final ed.). Rasht, Iran: Municipality of Rasht (Andishkar Consulting Engineers).
Redmond, L. S., and P. L. Mokhtarian. 2001. Modeling objective mobility: The impact of travel-related attitudes, personality and lifestyle on distance traveled. Davis, CA: Institute of Transportation Studies (UCD), UC Davis.
Rhodes, R. E., S. G. Brown, and C. A. McIntyre. 2006. “Integrating the perceived neighborhood environment and the theory of planned behavior when predicting walking in a Canadian adult sample.” Am. J. Health Promot. 21 (2): 110–118. https://doi.org/10.4278/0890-1171-21.2.110.
Rodrıiguez, D. A., and J. Joo. 2004. “The relationship between non-motorized mode choice and the local physical environment.” Transp. Res. Part D Transp. Environ. 9 (2): 151–173. https://doi.org/10.1016/j.trd.2003.11.001.
Saeidi Hoseini, S. A. R., and Y. Hatamzadeh. 2020. “Walking duration in daily travel: An analysis among males and females using a hazard-based model.” Transportmetrica A 17 (4): 1150–1170. https://doi.org/10.1080/23249935.2020.1840655.
Saelens, B. E., J. F. Sallis, and L. D. Frank. 2003. “Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures.” Ann. Behav. Med. 25 (2): 80–91. https://doi.org/10.1207/S15324796ABM2502_03.
Sallis, J. F., et al. 2016. “Physical activity in relation to urban environments in 14 cities worldwide: A cross-sectional study.” Lancet 387 (10034): 2207–2217. https://doi.org/10.1016/S0140-6736(15)01284-2.
Sarkar, P. P., and C. Mallikarjuna. 2018. “Effect of perception and attitudinal variables on mode choice behavior: A case study of Indian city, Agartala.” Travel Behav. Society 12: 108–114. https://doi.org/10.1016/j.tbs.2017.04.003.
Satorra, A., and P. M. Bentler. 1988. Scaling corrections in covariance structural analysis, UCLA statistics series 2. Los Angeles: Univ. of California, Dept. of Psychology.
Srinivasan, S. 2002. “Quantifying spatial characteristics of cities.” Urban Stud. 39 (11): 2005–2028. https://doi.org/10.1080/0042098022000011335.
Sun, G., R. Acheampong, H. Lin, and V. Pun. 2015. “Understanding walking behavior among university students using theory of planned behavior.” Int. J. Environ. Res. Public Health 12 (11): 13794–13806. https://doi.org/10.3390/ijerph121113794.
Tin, S. T., A. Woodward, S. Thornley, and S. Ameratunga. 2009. “Cycling and walking to work in New Zealand, 1991–2006: Regional and individual differences, and pointers to effective interventions.” Int. J. Behav. Nutr. 6 (1): 1–11.
Tomarken, A. J., and N. G. Waller. 2005. “Structural equation modeling: Strengths, limitations, and misconceptions.” Annu. Rev. Clin. Psychol. 1 (1): 31–65. https://doi.org/10.1146/annurev.clinpsy.1.102803.144239.
Ullman, J. B. 1996. “Structural equation modeling.” In Using multivariate statistics, 3rd ed., edited by B. G. Tabachnick, and L. S. Fidell, 709–811. New York: HarperCollins College Publisher.
Yang, Y., and A. V. Diez-Roux. 2012. “Walking distance by trip purpose and population subgroups.” Am. J. Preventive Med. 43 (1): 11–19. https://doi.org/10.1016/j.amepre.2012.03.015.
Ye, X., R. M. Pendyala, and G. Gottardi. 2007. “An exploration of the relationship between mode choice and complexity of trip chaining patterns.” Transp. Res. Part B Methodol. 41 (1): 96–113. https://doi.org/10.1016/j.trb.2006.03.004.

Information & Authors

Information

Published In

Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 147Issue 4December 2021

History

Received: May 5, 2020
Accepted: Feb 16, 2021
Published online: Jul 19, 2021
Published in print: Dec 1, 2021
Discussion open until: Dec 19, 2021

Permissions

Request permissions for this article.

Authors

Affiliations

Yaser Hatamzadeh [email protected]
Ph.D. of Transportation Planning, Dept. of Civil and Environmental Engineering, Amirkabir Univ. of Technology, Tehran 15875-4413, Iran. Email: [email protected]
Meeghat Habibian [email protected]
Assistant Professor of Transportation Planning, Dept. of Civil and Environmental Engineering, Amirkabir Univ. of Technology, Tehran 15875-4413, Iran (corresponding author). Email: [email protected]
Professor of Transportation Engineering, Dept. of Civil and Environmental Engineering, Amirkabir Univ. of Technology, Tehran, Iran. ORCID: https://orcid.org/0000-0002-6646-1817. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

  • Factors Affecting Neighborhood Walkability: A Pilot Empirical Study in Qingdao, China, Journal of Urban Planning and Development, 10.1061/JUPDDM.UPENG-4138, 149, 1, (2023).

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share