آمار
| تعداد نشریات | 13 |
| تعداد شماره‌ها | 157 |
| تعداد مقالات | 1,571 |
| تعداد مشاهده مقاله | 2,496,838 |
| تعداد دریافت فایل اصل مقاله | 2,089,233 |
Examining the socioeconomic determinants that impact Indian modes of transportation for Daily Commuting: An investigation of Moradabad City of India | ||
| جغرافیا و آینده پژوهی منطقه‌ای | ||
| دوره 2، شماره ویژه - شماره پیاپی 8، اسفند 1403، صفحه 33-46 اصل مقاله (555.25 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.30466/grfs.2025.55464.1069 | ||
| نویسندگان | ||
| Nazish Naz1؛ Md. Rahimullah2؛ Nazim Ali* 3 | ||
| 1Assistant Professor, Department of Geography, Govt. Geetanjali Girls College, Bhopal, Madhya Pradesh, India | ||
| 2Department of Geography, Zakia Afaque Islamia, College, Siwan (Affiliated to Jai Prakash University), Bihar, India | ||
| 3Department of Geography, Zakia Afaque Islamia, College, Siwan (Jai Prakash University), Bihar-841226, India | ||
| چکیده | ||
| Objectives: The present study aims to analyze the factors which influence the selection of modes by commuters for daily travel to work . Methodology: For accomplishment of this objective, a field survey has been conducted in Moradabad city among the commuters to collect the data by using a structured questionnaire in month of April-May, 2017 following the simple random sampling method. The data obtained through the survey has been analyzed by simple percent method. The public transport, private vehicles and non-motorized modes were taken as the dependent variable while the age, education, monthly income, household size, settlement status and distance were considered as the independent variables. Results: The result clearly reveals that the selection of modes of transit varies with the variations in socio-economic conditions of commuters. It has also been found that the commuters living in better socio-economic condition in terms of education, monthly income, and size of household were likely more to commute by private modes of transportation than the commuters belonging to poor socio-economic condition who mostly rely on public and non-motorized vehicles. Conclusion: The study suggests the base to better understand which attributes are more effective in selecting the means to travel for work Moreover, the commuting modes discussed in terms of public, private and non-motorized vehicles used by commuters according to their demographic, social and economic characteristics can help to formulate the effective and successful transportation policies. | ||
| کلیدواژه‌ها | ||
| Commuting؛ Commuters؛ Modes of Transportation؛ Socio-Economic؛ Moradabad City | ||
| مراجع | ||
|
Adriana, M. C., Situmorang, R., & Aji, B. J. (2023). Exploring the transport mode choice of University students in Jakarta: A case study of Universitas Trisakti. Spatium, 020-029. https://doiserbia.nb.rs/Article.aspx?id=1450-569X2300003A
Ashalatha, R., Manju, V. S., & Zacharia, A. B. (2013). Mode choice behavior of commuters in Thiruvananthapuram city. Journal of Transportation Engineering, 139(5), 494-502. http://dx.doi.org/10.1061/(ASCE)TE.1943-5436.0000533
Bayramzadeh, N., & Fari, M. (2019). The effect of land use planning on traffic with a sustainable development approach. Traffic Management Studies Quarterly, (52), (65-86). https://www.sid.ir/paper/402959/fa
Bellet, S., Roman, L., & Kostis, J. (1969). The effect of automobile driving on catecholamine and adrenocortical excretion. The American Journal of Cardiology, 24(3), 365-368. https://doi.org/10.1016/0002-9149(69)90430-5
Bhat, C. R., & Sardesai, R. (2006). The impact of stop-making and travel time reliability on commute mode choice. Transportation Research Part B: Methodological, 40(9), 709-730. https://doi.org/10.1016/j.trb.2005.09.008
Buehler, R. (2011). Determinants of transport mode choice: a comparison of Germany and the USA. Journal of transport geography, 19(4), 644-657. https://doi.org/10.1016/j.jtrangeo.2010.07.005
Cantwell, M., Caulfield, B., & O’Mahony, M. (2009). Examining the factors that impact public transport commuting satisfaction. Journal of public transportation, 12(2), 1-21. http://doi.org/10.5038/2375-0901.12.2.1
Chandrasekhar, S., Mishra, S., & Sharma, A. (2017). Transport mode choice for commuting: evidence from India. SocArXiv. August, 3. https://ideas.repec.org/p/osf/socarx/qh8m5.html
Chowdhary, R. B. and Chowdhary, R. A. (2011). Transport as an Urban Hazrd- A Case Study in India. Indian Journal of Landscape System and Education Studies, 34(1), 383-400.
Costa, F. F., Silva, K. S., Schmoelz, C. P., Campos, V. C., & de Assis, M. A. A. (2012). Longitudinal and cross-sectional changes in active commuting to school among Brazilian schoolchildren. Preventive Medicine, 55(3), 212-214. https://doi.org/10.1016/j.ypmed.2012.06.023
Costa, G., Pickup, L., & Di Martino, V. (1988). Commuting--a further stress factor for working people: evidence from the European Community. II. An empirical study. International archives of occupational and environmental health, 60(5), 377-385. https://doi.org/10.1007/BF00405674
Cox, T., Houdmont, J., & Griffiths, A. (2006). Rail passenger crowding, stress, health and safety in Britain. Transportation Research Part A: Policy and Practice, 40(3), 244-258. https://doi.org/10.1016/j.tra.2005.07.001
Cracknel, K (2001). Urban Mobility and Livable Cities for Future, Sydney: McGraw Hill.
Gang, L. I. U. (2007). A behavioral model of work-trip mode choice in Shanghai. China Economic Review, 18(4), 456-476. https://doi.org/10.1016/j.chieco.2006.09.001
Hu, Y., Sobhani, A., & Ettema, D. (2023). Are men or women happier commuters? A study on the determinants of travel mode dissonance and travel satisfaction for dual-earner couples with school-age children in Ganyu, China. Travel behaviour and society, 31, 131-140. https://doi.org/10.1016/j.tbs.2022.11.009
John, L. M., Flin, R., & Mearns, K. (2006). Bus driver well-being review: 50 years of research. Transportation research part F: traffic psychology and behaviour, 9(2), 89-114. https://doi.org/10.1016/j.trf.2005.10.002
Kingham, S., Dickinson, J., & Copsey, S. (2001). Travelling to work: will people move out of their cars. Transport policy, 8(2), 151-160. https://doi.org/10.1016/S0967-070X(01)00005-1
Mahlawat, M., Rayan, S., Kuchangi, S., and Patil, S. (2007). Examination of student travel mode choice. Rep. 07-2616, Transportation Research Board 86th Annual Meeting, Transportation Research Board, Washington DC. https://trid.trb.org/View/802309
Maibach, E., Steg, L., & Anable, J. (2009). Promoting physical activity and reducing climate change: Opportunities to replace short car trips with active transportation. Preventive medicine, 49(4), 326-327. https://doi.org/10.1016/j.ypmed.2009.06.028
Malokin, A., Circella, G., & Mokhtarian, P. L. (2019). How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios. Transportation Research Part A: Policy and Practice, 124, 82-114. https://doi.org/10.1016/j.tra.2018.12.015
Motte, B., Aguilera, A., Bonin, O., & Nassi, C. D. (2016). Commuting patterns in the metropolitan region of Rio de Janeiro. What differences between formal and informal jobs?. Journal of Transport Geography, 51, 59-69. https://ideas.repec.org/a/eee/jotrge/v51y2016icp59-69.html
Mousavi, M., Jafarpour Ghalehteimouri, K., & Bayramzadeh, N. (2025). Assessing social infrastructure in border areas from a city prosperity perspective: a case study of border townships in West Azarbaijan Province, Iran. Discov. Cities, 2(1), 1–20. https://doi.org/10.1007/s44327-025-00057-3
Mwale, M., Luke, R., & Pisa, N. (2022). Factors that affect travel behaviour in developing cities: A methodological review. Transportation Research Interdisciplinary Perspectives, 16, 100683. https://doi.org/10.1016/j.trip.2022.100683
Nordfjærn, T., Egset, K. S., & Mehdizadeh, M. (2019). “Winter is coming”: Psychological and situational factors affecting transportation mode use among university students. Transport policy, 81, 45-53. https://doi.org/10.1016/j.tranpol.2019.06.002
Nurdeen, A., Rahmat, R. A. O. K., & Ismail, A. (2007). Modeling of transportation behavior for coercive measures for car driving in Kuala Lumpur. ARPN Journal of engineering and Applied Sciences, 2(2), 18-23. https://www.researchgate.net/publication/238739017_MODELING_OF_TRANSPORTATION_BEHAVIOR_FOR_COERCIVE_MEASURES_FOR_CAR_DRIVING_IN_KUALA_LUMPUR
Pucher, J., Korattyswaropam, N., Mittal, N., & Ittyerah, N. (2005). Urban transport crisis in India. Transport policy, 12(3), 185-198. http://dx.doi.org/10.1016/j.tranpol.2005.02.008
Rasca, S., & Saeed, N. (2022). Exploring the factors influencing the use of public transport by commuters living in networks of small cities and towns. Travel Behaviour and Society, 28, 249-263. https://doi.org/10.1016/j.tbs.2022.03.007
Robinson, A. A. (1991). Cancer deaths due to all causes, its relationship with vehicle travel in Australia, Japan and European countries. Medical hypotheses, 36(2), 166-171. https://doi.org/10.1016/0306-9877(91)90263-X
Schaeffer, M. H., Street, S. W., Singer, J. E., & Baum, A. (1988). Effects of control on the stress reactions of commuters 1. Journal of Applied Social Psychology, 18(11), 944-957. https://psycnet.apa.org/doi/10.1111/j.1559-1816.1988.tb01185.x
Schafer, A., & Victor, D. G. (2000). The future mobility of the world population. Transportation research part a: policy and practice, 34(3), 171-205. https://doi.org/10.1016/S0965-8564(98)00071-8
Simonson, E., Baker, C., Burns, N., Keiper, C., Schmitt, O. H., & Stackhouse, S. (1968). Cardiovascular stress (electrocardiographic changes) produced by driving an automobile. American Heart Journal, 75(1), 125-135. https://doi.org/10.1016/0002-8703(68)90123-3
Singell, L. D., & Lillydahl, J. H. (1986). An empirical analysis of the commute to work patterns of males and females in two-earner households. Urban Studies, 23(2), 119-129. https://doi.org/10.1080/00420988620080111
Sridhar, K. S., & Nayka, S. (2022). Determinants of commute time in an Indian city. Margin: The Journal of Applied Economic Research, 16(1), 49-75. https://doi.org/10.1177/09749101211073375
Stokols, D., Novaco, R. W., Stokols, J., & Campbell, J. (1978). Traffic congestion, type A behavior, and stress. Journal of Applied Psychology, 63(4), 467. https://psycnet.apa.org/doi/10.1037/0021-9010.63.4.467
Titheridge, H., & Hall, P. (2006). Changing travel to work patterns in South East England. Journal of Transport Geography, 14(1), 60-75. http://dx.doi.org/10.1016/j.jtrangeo.2005.06.006
Tran, H. A., & Schlyter, A. (2010). Gender and class in urban transport: the cases of Xian and Hanoi. Environment and Urbanization, 22(1), 139-155. http://dx.doi.org/10.1177/0956247810363526
Tyrinopoulos, Y., & Antoniou, C. (2020). Review of factors affecting transportation systems adoption and satisfaction. In Demand for emerging transportation systems (pp. 11-36). Elsevier. http://dx.doi.org/10.1016/B978-0-12-815018-4.00002-4
van den Berg, P., Waygood, E. O. D., van de Craats, I., & Kemperman, A. (2020). Factors affecting parental safety perception, satisfaction with school travel and mood in primary school children in the Netherlands. Journal of Transport & Health, 16, 100837. https://doi.org/10.1016/j.jth.2020.100837
Wener, R. E., & Evans, G. W. (2007). A morning stroll: levels of physical activity in car and mass transit commuting. Environment and Behavior, 39(1), 62-74. http://dx.doi.org/10.1177/0013916506295571
Wener, R. E., & Evans, G. W. (2011). Comparing stress of car and train commuters. Transportation Research Part F: Traffic Psychology and Behaviour, 14(2), 111-116. https://psycnet.apa.org/doi/10.1016/j.trf.2010.11.008
Wener, R. E., Evans, G. W., Phillips, D., & Nadler, N. (2003). Running for the 7: 45: The effects of public transit improvements on commuter stress. Transportation, 30, 203-220. https://doi.org/10.1023/A:1022516221808
Wener, R., Evans, G. W., & Boately, P. (2005). Commuting stress: Psychophysiological effects of a trip and spillover into the workplace. Transportation Research Record, 1924(1), 112-117. https://doi.org/10.1177/0361198105192400114
White, S. M., & Rotton, J. (1998). Type of commute, behavioral aftereffects, and cardiovascular activity: A field experiment. Environment and Behavior, 30(6), 763-780. https://psycnet.apa.org/doi/10.1177/001391659803000602
Zhou, J., & Murphy, E. (2019). Day-to-day variation in excess commuting: An exploratory study of Brisbane, Australia. Journal of Transport Geography, 74, 223-232. https://doi.org/10.1016/j.jtrangeo.2018.11.014 | ||
|
آمار تعداد مشاهده مقاله: 52 تعداد دریافت فایل اصل مقاله: 39 |
||