The Impact of the Economic and Demographic Components of a City on a Bicycle Trip Case Study: Zanjan City

Subject Areas :

shahrzad moghadam ¹ (PhD in the Geography and Urban Planning)
isa piri ² (Assistant Professor of Geography, zanjan University, Iran)
ali khodayi ³ (Master student in urban planning, Zanjan University)
mohamad gholami ⁴ (Assistant Professor of Geography, payam noor University, Iran)

Received: 2018-06-08 Accepted : 2019-10-18 Published : 2020-10-22

Keywords: Zanjan city, Urban short trips, demographic and economic characteristics, bicycle,

Abstract :

          In recent years, bike ride as a green trip has been attended by planners. In this regard, That's why the increase in facilities for safety, comfort and popularity of bicycles has been at the forefront of urban programs. Although demographic and economic characteristics have a great influence on the increase and decrease of travel by bike. This article is an applied study. The identification of economic and demographic components affecting bicycle trips is the goal of this paper. GIS software is used to prepare the data and data analysis and data analysis is done using MATLAB software. All statistical computations of this text of the earth are statistic; the significance level and the correlation coefficient are calculated in terms of 150 traffic districts. The findings of the research indicate that there is a significant relationship between economic and demographic components with the number of bicycle trips in Zanjan. The population density of students and employed has the highest correlation coefficient (0.46) and (0.42). Findings of the research indicate with the increase in the population of women and the unemployed, the number of bicycle trips in Zanjan is decreasing. Extended Abstract Introduction:      In recent years, bike ride as a green trip has been attended by planners. In this regard, That's why the increase in facilities for safety, comfort and popularity of bicycles has been at the forefront of urban programs. Although demographic and economic characteristics have a great influence on the increase and decrease of travel by bike. This article is an applied study. The identification of economic and demographic components affecting bicycle trips is the goal of this paper. GIS software is used to prepare the data and data analysis and data analysis is done using MATLAB software. All statistical computations of this text of the earth are statistic; the significance level and the correlation coefficient are calculated in terms of 150 traffic districts. Methodology:       In the first step, demographic and economic variables are transformed into GIS layers by city's traffic zones; The fuzzy data standardization method is used for multi-criteria analysis and evaluation. Then the balanced scorecard outputs and the available data on economic and demographic components are operationalized in the form of measurable variables such as entropy coefficient for demographics, Gini coefficient for income level, nonlinear model for car ownership; has been used. After preparing the raster layers and classifying them according to the type of data; the process of scaling the data was performed. Then, the layers were invoked in the data matrix to perform reference geostatistical operations and tests in Matlab software. Statistical analysis of correlation and partial correlation were performed on the data and the coefficients were compared. Results and discussion:        According to the findings of this study, there is a direct relationship between the working population (0.41) and bicycle trips. This is in line with the findings of the 2008 study by Geus et al. The results showed that by increasing the level of income, bicycle travel in Zanjan decreased. If we don't consider the impact of other factors; As the level of income increases, the inverse relationship becomes a direct relationship; such as Studies of Troped (2003). Components and population structure of Zanjan have a significant relationship with the rate of bicycle travel in the city. The relationship between student population density (0.46) and bicycle travel in Zanjan's traffic areas is consistent with the findings of the present study with the Balts research in US cities. However, as in the Bonham and Wilson 2012 study, with the increase in the population of women (-0.62), cycling is significantly reduced. There is no significant difference in the correlation coefficients between age groups and bicycle travel. However, the findings of Boufous et al. 2011 show that young people are more likely to use bicycles than other age groups. Therefore, urban traffic managers must consider demographic, age, and gender characteristics, occupational groups, income levels, and work environment in traffic policies and programs. In that case we can expect the popularity of the bike ride. Conclusion:         The findings of the research indicate that there is a significant relationship between economic and demographic components with the number of bicycle trips in Zanjan. The population density of students and employed has the highest correlation coefficient (0.46) and (0.42). Findings of the research indicate with the increase in the population of women and the unemployed, the number of bicycle trips in Zanjan is decreasing.

References:

1. Alibrahim, p (2002): Developing the Process of Extending Cycling in Cities with a Specific Look at Physical Planning, MSc Thesis, University of Science and Technology, School of Architecture and Design[ in Persian].


2. Benson J., and Scriven A.,(2012). Psychological, social and environmental barriers to cycling to school, International Journal of Health Promotion and Education, 50:1, pp.34-38.


3. Birla, P.; Miranda-Moreno, L.F. ET M. Lee-Joselin (2010), "Urban Travel CO2 Emissions and Land Use: a Case Study for Quebec City", Transportation Research Part D: Transport and Environment.


4. Bonham J., and Wilson A., (2012). Bicycling and the Life Course: The Start- Stop-Start Experiences of Women Cycling, International Journal of Sustainable Transportation, 6:4, pp. 213-195.


5. Boufous S., De Rome L., Senserrick T., and Ivers R.,(2011). Cycling Crashes in Children,Adolescents, and Adults-A Comparative Analysis, Traffic Injury Prevention, 250-244, 12:3.


6. Brian E. Sealers, James F. Sallies, Lawrence D. Frank (2003). Environmental Correlates of Walking and Cycling: Findings from the Transportation, Urban Design, and Planning Literatures. Annals of Behavioral Medicine, Volume 25, Number 2, 2003.


7. Brown, L. R. (2000). Overview: The acceleration of change. In vital signs: The Environmental trends that are shaping our future, Edited by Linda Starke, New York.


8. Chowdhury, T. A., Scott, D. M., and Kanaroglou, P. S. (2013) «Urban Form and Commuting Efficiency:A Comparative Analysis across Time and Space», Urban Studies, Vol.50, 191–207.25


9. Davari nejad Moghaddam, M and Mahbot, M (Summer 2011): "Cycling and its Role in Improving the Quality of Urban Life", First International Urban Bike Conference. Tehran, Iran Fuel Management and Transportation Headquarters.[ in Persian].


10. Engbers L , Hendriksen I (2010)"Characteristics of a population of commuter cyclists in the Netherlands: perceived barriers and facilitators in the personal, social and physical environment" International Journal of Behavioral Nutrition and Physical Activity.


11. Geus de B, Bourdeaudhuij de I, Jannes C, Meeusen R(2008): Psychosocial and environmental factorsassociated with cycling for transport among a working population. Health Educ Res 2008, 34(4):697-708.


12. Ghaed Rahmati, S; Khadem Al-Husseini, A and Ghashghaeinejad, R (Spring 2010):

"Investigation of Urban Traffic Volume Reduction by Creating Specific Cycling Routes: A Case Study of Historical Context of Shiraz City".Geographical Journal of Planning, No. 8, pp.19.[ in Persian].

1. Grant, Jill. (2006) Planning the Good Community: New Urbanism in Theory and Practice, Rutledge, London.


2. Hanachi, P and Mahdaviinejad, M (2010): Reclaiming Cities a Legacy for the Future, University of Tehran Publications.[ in Persian].


3. Heine, E., van Wee, B., & Mat, K. (2010), “Commuting by bicycle: an overview of the literature.” Transport Reviews, Vol.30, No.1, PP. 59-96.


4. Hickman, R and Banister, D (2004). Reducing travel by design: urban form and commute to work. Association for European transport.


5. Honarvar, A, Sharifian, I-Farzan, F (2008): "Attitudes towards the Development of Clean Transportation Systems with Emphasis on the Role of Cycling, Factors, Obstacles and Solutions", Second Conference on Air Pollution and Effects It's on health, Tehran.[ in Persian].


6. Kashanijo, Kh, Darabi, C, (Fall 2011): "Investigating the Role of Pedestrians and Bikers in Sustainable Urban Transport", First International Urban Bicycle Conference, Tehran, Iran.[in Persian].


7. Kenfelakher , H(2002): Principles of Planning and Designing Pedestrian and Bicycle Traffic, University of Tehran Press, translated by Fereydoon Gharib.[ in Persian].


8. Krizek, J., Roland, K., Rio, W.,(2005),What is the End of Road? Understanding Discontinuities of on-Street Bicycle Lanes in Urban Setting”, Transportation Research. Part D (10) pp 68- 55.


9. Kwan, M., and Kitset, A. (2014) «Gender differences in commute time and accessibility Sofia, Bulgaria: a study using 3D geovisualisation», Geogr.J, Vol. 181(1), 83–96.Mooney, L. A., Knox, D., Schacht, C. (2007). Understanding social problems. Carolina: East Carolina University.


10. Mokhtari Malekabadi, R (Summer 2011): "A Geographical Analysis on the Role of Bicycles in the Isfahan Sustainable Transportation System" 1; 3 (9): 122 - 101.[in Persian].


11. Moudon AV, Lee C, Cheadle AD, Collier CW, Johnson D, Schmid TL, Weather RD: Cycling and the built environment, a US perspective.Transportation Research, Part D 2005 10:2,55-61.


12. Mousavi, M (2006):, Environment and Urban Quality in Newtown, Municipal Journal 27, Third Year, pp. 40-44.[ in Persian].


13. Noland, RB. And Kunreuthr H., (1995). Short-run and long-run policies for increasing bicycle transportation for daily commuter trips. Transport Policy 2, pp. 67–79.


14. Ortúzar, J. (2000). Estimating demand for a cycle-way network-Transportation Research Part A: Policy and Practice, 5:34, pp. 353-373.


15. Pour Ahmad, A, Hajijarshifi, A and Ramazanzadeh Lesbouhi, M (Winter 2012): Measurement and Comparison of Pavement Quality in the Haftawzad and Moghadam Neighborhoods of Tehran", Journal of Space Geographical Statistics Journal. Golestan University - Second year, machine gun number six.[ in Persian].


16. Pucher J.Buehler Ralph, 2006, Why Canadians Cycle More than Americans: A Comparative Analysis of Bicycling Trends and Policies, Transport Policy 13, pp 265–279.


17. Rezaei, M. Heidari, Y, and Nazarimehr, A (Fall 2013): "Evaluation of Criteria for Proposed Cycling Routes Using AHP Model - Case Study of Yazd City", 12th Iranian Conference on Transportation and Traffic Engineering. 20-1.[ in Persian].


18. Rostamzadeh, M (2003):, Cycling Extension Committee. Department of Studies and Planning, Department of Transport and Traffic, Isfahan Municipality.[ in Persian].


19. Saelens BE, Sallis JF, Frank LD: Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures. 2003, 25(2):80-91.


20. Sener I. Eluru N ,Bhat C. (2009) An Analysis of Bicyclists and Bicycling Characteristics: Who, Why, and How Much are they Bicycling? Transport Policy Vol. 18, 216–223.


21. Sheikholeslami, A (1995): Designing a Cycling Network Design Approach as an Urban Transportation Method Master of Engineering in Road and Transportation Engineering, Iran University of Science and Technology.[ in Persian].


22. Slensminde K. (2004). Cost–benefit analyses of walking and cycling track networks taking into account insecurity, health effects and external costs of motorized traffic.Transportation Research Part A: Policy and Practice, 8:38, pp. 606-593.


23. Soltani, A, (2011): Discussions on Urban Transport with Emphasis on the Sustainability Approach, Shiraz University Press, First Edition, Shiraz.[ in Persian].


24. Troped PJ, Saunders RP, Pate RR, Reininger B, Addy CL: Correlates of recreational and transportationphysical activity among adults in a New England community. Prev Med 2003, 37:304-10.