مدل های رفتاری با هدف شناسایی عوامل مؤثر بر موانع پیاده روی در سفرهای شغلی (مطالعه موردی: شهر قزوین)

نوع مقاله : مقاله پژوهشی

نویسندگان

• حمید میرزاحسین ¹
• سهیل رضاشعار ¹
• فرزاد مرادی ²

¹ گروه عمران-برنامه‌ریزی حمل و نقل، دانشکده فنی و مهندسی، دانشگاه بین‌المللی امام خمینی(ره)، قزوین، ایران

² گروه عمران-برنامه‌ریزی حمل و نقل، دانشکده فنی و مهندسی، دانشگاه بین‌المللی امام خمینی(ره)، قزوین، ایران.

10.22067/jfcei.2024.87996.1308

چکیده

یکی از شیوه‌های حمل و نقل پایدار که می‌تواند به کاهش ترافیک و آلودگی هوا کمک کند، پیاده‌روی است. با این حال، موانع مختلفی وجود دارد که پیاده‌روی را به‌ویژه در سفرهای شغلی دشوار می‌سازد. این پژوهش به بررسی عوامل مؤثر بر عدم تمایل به پیاده‌روی در بین شهروندان قزوین پرداخته و پنج مانع اصلی شامل: تنبلی یا میل به دیر بیدار شدن، اختلالات جسمی، عدم علاقه به پیاده‌روی، نگرانی از حفظ آراستگی ظاهر در محیط کار، و بی‌میلی به دیده شدن در خیابان را با استفاده از مدل‌های لوجیت ترتیبی بررسی کرده است. این موانع در سه دسته خصوصیات اجتماعی-اقتصادی، سفر و محیطی تحلیل شدند. نتایج بررسی ۶۰ پرسشنامه نشان داد که خصوصیات اجتماعی-اقتصادی با داشتن شش متغیر معنادار، بیشترین تأثیر را داشته‌اند. همچنین، شاخص قابلیت پیاده‌روی با علامت منفی در ضرایب مدل‌های تنبلی یا میل به دیر بیدار شدن، عدم علاقه به پیاده‌روی بیشتر و نگرانی از آراستگی ظاهر در محیط کار، و عامل کل زمان صرف شده با علامت مثبت در ضرایب مدل‌های اختلالات جسمی، عدم علاقه به پیاده‌روی، نگرانی از آراستگی ظاهر و بی‌میلی به دیده شدن در خیابان، به عنوان مهم‌ترین متغیرها شناسایی شدند. نتایج نشان می‌دهد که کاهش شاخص قابلیت پیاده‌روی، محیط اطراف محل سکونت را برای پیاده‌روی نامناسب‌تر کرده و نگرانی از آراستگی ظاهری را افزایش می‌دهد. بنابراین، با بهبود زیرساخت‌ها و کاهش زمان سفر، می‌توان انگیزه پیاده‌روی را افزایش داد و این مسأله باید در تصمیم‌گیری‌های شهری مورد توجه قرار گیرد.

کلیدواژه‌ها

• پیاده‌روی
• مدل لوجیت ترتیبی
• شاخص قابلیت پیاده‌روی
• شهر قزوین

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عنوان مقاله [English]

Behavioral models to identify factors affecting walking barriers in work trips (Case study: Qazvin City)

نویسندگان [English]

• Hamid Mirzahossein ¹
• Soheil Rezashoar ¹
• Farzad Moradi ²

¹ Department of Civil - Transportation Planning, Faculty of Engineering, Imam Khomeini International University (IKIU). Postal Code: 34148 - 96818, Qazvin, Iran.

² Department of Civil - Transportation Planning, Faculty of Engineering, Imam Khomeini International University (IKIU). Postal Code: 34148 - 96818, Qazvin, Iran.

چکیده [English]

Walking is a sustainable transportation method that can alleviate traffic congestion and reduce air pollution. However, various barriers still hinder walking, especially during business trips. This study investigates the factors contributing to the reluctance to walk among citizens in Qazvin city, focusing on five specific barriers: laziness or the desire to wake up late, physical disorders, lack of interest in walking, concerns about maintaining a neat appearance at work, and reluctance to be seen on the street. Using ordered logit models, these barriers were analyzed across three categories: socio-economic, travel, and environmental characteristics. The analysis, based on 60 questionnaires, revealed that socio-economic characteristics had the highest number of significant variables, with six being particularly influential. Notably, the walkability index negatively correlated with laziness or the desire to wake up late, lack of interest in walking, and concerns about appearance, while the total time spent had a positive correlation with physical disorders, lack of interest, neat appearance, and reluctance to be seen on the street. The findings suggest that lower walkability in residential areas increases concerns about appearance due to factors like sweating, which discourages walking. Improving infrastructure and reducing travel time could enhance walkability and encourage more walking. Urban planners should consider these factors when designing city layouts to ensure that workplaces and amenities are accessible by foot, thereby promoting walking as a viable mode of transportation.

کلیدواژه‌ها [English]

• Walking
• Ordered logit model
• Walkability index
• Qazvin city

مراجع

[1] M.S. Tremblay, D.E. Warburton, I. Janssen, D.H. Paterson, A.E. Latimer, R.E. Rhodes, M.E. Kho, A. Hicks, A.G. Leblanc, L. Zehr, K. Murumets, and M. Duggan, New Canadian physical activity guidelines, Appl Physiol Nutr Metab, 36(1): Pp. 36-46; 47-58, (2011).

[2] S. Cragg, C. Cameron, and C. Craig, National transportation survey. Ottawa, ON: Canadian Fitness and Lifestyle Research Institute, (2006).

[3] J. Pucher and L. Dijkstra, Promoting safe walking and cycling to improve public health: lessons from the Netherlands and Germany, American journal of public health, 93(9): Pp. 1509-1516, (2003).

[4] B.E. Saelens, J.F. Sallis, J.B. Black, and D. Chen, Neighborhood-based differences in physical activity: an environment scale evaluation, American journal of public health, 93(9): Pp. 1552-1558, (2003).

[5] J.M. Rippe, A. Ward, J.P. Porcari, and P.S. Freedson, Walking for health and fitness, Jama, 259(18): Pp. 2720-4, (1988).

[6] R.C. Brownson, C.M. Hoehner, K. Day, A. Forsyth, and J.F. Sallis, Measuring the built environment for physical activity: state of the science, American journal of preventive medicine, 36(4): Pp. S99-S123. e12, (2009).

[7] L.D. Frank, J.F. Sallis, B.E. Saelens, L. Leary, K. Cain, T.L. Conway, and P.M. Hess, The development of a walkability index: application to the Neighborhood Quality of Life Study. British journal of sports medicine, 44(13): Pp. 924-933, (2010).

[8] L.D. Frank and P. Engelke, Multiple impacts of the built environment on public health: walkable places and the exposure to air pollution. International regional science review, 28(2): Pp. 193-216, (2005).

[9] L.D. Frank, J.F. Sallis, T.L. Conway, J.E. Chapman, B.E. Saelens, and W. Bachman, Many pathways from land use to health: associations between neighborhood walkability and active transportation, body mass index, and air quality, Journal of the American planning Association, 72(1): Pp. 75-87, (2006).

[10] L. Herbert, V. Owen, L. Pascarella, and R. Streisand, Text message interventions for children and adolescents with type 1 diabetes: a systematic review, Diabetes technology & therapeutics, 15(5): Pp. 362-370, (2013).

[11] N.H. Brodersen, A. Steptoe, S. Williamson, and J. Wardle, Sociodemographic, developmental, environmental, and psychological correlates of physical activity and sedentary behavior at age 11 to 12. Annals of Behavioral Medicine, 29(1): Pp. 2-11, (2005).

[12] R. Cervero and M. Duncan, Walking, bicycling, and urban landscapes: evidence from the San Francisco Bay Area. American journal of public health, 93(9): Pp. 1478-1483, (2003).

[13] A.F. Clark, D.M. Scott, and N. Yiannakoulias, Examining the relationship between active travel, weather, and the built environment: a multilevel approach using a GPS-enhanced dataset. Transportation, 41: Pp. 325-338, (2014).

[14] R.B. Copperman and C.R. Bhat, An analysis of the determinants of children’s weekend physical activity participation. Transportation, 34: Pp. 67-87, (2007).

[15] R.C. Brownson, E.A. Baker, R.A. Housemann, L.K. Brennan, and S.J. Bacak, Environmental and policy determinants of physical activity in the United States. American journal of public health, 91(12): Pp. 1995-2003, (2001).

[16] J.E. Gómez, B.A. Johnson, M. Selva, and J.F. Sallis, Violent crime and outdoor physical activity among inner-city youth. Preventive medicine, 39(5): Pp. 876-881, (2004).

[17] T.E. McMillan, The relative influence of urban form on a child’s travel mode to school. Transportation Research Part A: Policy and Practice, 41(1): Pp. 69-79, (2007).

[18] P.J. Troped, R.P. Saunders, R.R. Pate, B. Reininger, J.R. Ureda, and S.J. Thompson, Associations between self-reported and objective physical environmental factors and use of a community rail-trail. Preventive medicine, 32(2): Pp. 191-200, (2001).

[19] A.C. King, C. Castro, S. Wilcox, A.A. Eyler, J.F. Sallis, and R.C. Brownson, Personal and environmental factors associated with physical inactivity among different racial–ethnic groups of US middle-aged and older-aged women. Health psychology, 19(4): Pp. 354, (2000).

[20] A. Timperio, K. Ball, J. Salmon, R. Roberts, B. Giles-Corti, D. Simmons, L.A. Baur, and D. Crawford, Personal, family, social, and environmental correlates of active commuting to school, American journal of preventive medicine. 30(1): Pp. 45-51, (2006).

[21] A.F. Clark and D.M. Scott, Barriers to Walking: An Investigation of Adults in Hamilton (Ontario, Canada). Int J Environ Res Public Health, 13(2): Pp. 179, (2016).

[22] G. Kash and N. McDonald, Travel Behavior and Perceived Barriers to Walking More Frequently: An Analysis of the Relationship Between Mode Choice and Attitudes in California, (2012).

[23] T. Yousefinezhadi and H. Soori, Study of obstacles and restrictions of pedestrians for commuting on foot in the city of Tehran: a qualitative study, Safety promotion and injury prevention (Tehran). 5(4): Pp. 185-192, (2018). (In Persian).

[24] A.M. Adachi-Mejia, K.M. Drake, T.A. MacKenzie, L. Titus-Ernstoff, M.R. Longacre, K.M. Hendricks, M.L. Beach, and M.A. Dalton, Perceived intrinsic barriers to physical activity among rural mothers, J Womens Health (Larchmt). 19(12): Pp. 2197-202, (2010).

[25] J. Dawson, M. Hillsdon, I. Boller, and C. Foster, Perceived barriers to walking in the neighborhood environment: a survey of middle-aged and older adults. Journal of Aging and Physical Activity, 15(3): Pp. 318-335, (2007).

[26] J. Spinney and H. Millward, Time and money: a new look at poverty and the barriers to physical activity in Canada, Social Indicators Research. 99: Pp. 341-356, (2010).

[27] Z. Aliyas, Fear of Crime and Individual Factors as Barriers to Leisure Walking in Neighborhoods, Iran University of Science & Technology. 29: Pp. 269-275, (2019).

[28] E.A. Richards and S. Woodcox, Barriers and Motivators to Physical Activity Prior to Starting a Community-Based Walking Program, Int J Environ Res Public Health. 18(20), (2021).

[29] G.F. Dunton and M. Schneider, Perceived barriers to walking for physical activity, Prev Chronic Dis. 3(4): Pp. A116, (2006).

[30] A. Tajik and P. Partovi, Walkability Conceptual Model and Analytical Framework with the Emphasis on New Urbanism Approach (case study: 4th phase of Mehrshahr), Journal of Urban Studies, 3(9): Pp. 81-96, (2014). (In Persian).

[31] A. Razzaghi, A. Pourrajabi, and S. Daneshi, Obstacles and problems related to elderly pedestrians: a qualitative study. Safety promotion and injury prevention (Tehran), 5(2): Pp. 73-78, (2017). (In Persian).

[32] M. Fallah Z, V. Abolhasannejad, A.R. Mamdoohi, and T. Nordfjærn, Barriers to children’s walking to school in Iranian and Chinese samples, Transportation Research Part F Traffic Psychology and Behaviour, In press, (2020).

[33] K. Ralph, M. Smart, R. Noland, S. Wang, and L. Cintron, Is it really too far? Overestimating walk time and distance reduces walking. Transportation Research Part F Traffic Psychology and Behaviour, 74: Pp. 522-535, (2020).

[34] Y. Yang and A.V. Diez-Roux, Walking distance by trip purpose and population subgroups, Am J Prev Med. 43(1): Pp. 11-9, (2012).

[35] M. Habibian and A. Hosseinzadeh, Walkability index across trip purposes. Sustainable Cities and Society, 42: Pp. 216-225, (2018).

[36] K. Al-Hagla, Evaluating new urbanism's walkability performance: A comprehensive approach to assessment in Saifi Village, Beirut, Lebanon. Urban Design International, 14: Pp. 139-151, (2009).

[37] K. Ball, A. Bauman, E. Leslie, and N. Owen, Perceived environmental aesthetics and convenience and company are associated with walking for exercise among Australian adults, Prev Med. 33(5): Pp. 434-40, (2001).

[38] A. Sharbati, Analysis of Factors Affecting the Reluctance of Citizens to Use Pedestrian Bridges (Case study: Gorgan). Journal of Research and Urban Planning, 7(27): Pp. 147-162, (2017). (In Persian).

[39] N.A. Gallagher, K.A. Gretebeck, J.C. Robinson, E.R. Torres, S.L. Murphy, and K.K. Martyn, Neighborhood factors relevant for walking in older, urban, African American adults, J Aging Phys Act. 18(1): Pp. 99-115, (2010).

[40] M. Ahadi, M. Hassanpour, P. Bashiri, and P. Bashiri, Strategies to promote safety to prevent pedestrian in the city of Qazvin. Safety promotion and injury prevention (Tehran), 4(3): Pp. 143-150, (2016). (In Persian).

[41] D. Lockett, A. Willis, and N. Edwards, Through seniors' eyes: an exploratory qualitative study to identify environmental barriers to and facilitators of walking. Can J Nurs Res, 37(3): Pp. 48-65, (2005).

[42] A. Osama and T. Sayed, Evaluating the impact of connectivity, continuity, and topography of sidewalk network on pedestrian safety. Accident; analysis and prevention, 107: Pp. 117-125, (2017).

[43] S. Strath, R. Isaacs, and M.J. Greenwald, Operationalizing environmental indicators for physical activity in older adults. Journal of aging and physical activity, 15(4): Pp. 412-424, (2007).

[44] R. Mitra, H. Siva, and M. Kehler, Walk-friendly suburbs for older adults? Exploring the enablers and barriers to walking in a large suburban municipality in Canada. J Aging Stud, 35: Pp. 10-9, (2015).

[45] K. Train and C. Winston, Vehicle Choice Behavior and the Declining Market Share of U.S. Automakers. International Economic Review, 48: Pp. 1469-1496, (2007).

[46] F. Harrell, Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis, Springer International Publishing, (2015).

[47] S. Chatterjee and A.S. Hadi, Regression Analysis by Example. John Wiley & Sons, (2013).