Travel Patterns in India: Association with Development and Development Pattern
Publication: Journal of Urban Planning and Development
Volume 147, Issue 1
Abstract
This study will estimate the impact of population size, population density, urbanization level and economy-related parameters on the proportion of trips with that have varied trip lengths for work purposes in India, which uses a fractional multinomial logit model. Data from 232 districts of India that have at least one city or town with a population >0.1 million will be used. The analysis shows the positive impact of the district's population size and economy on the proportion of trips longer than 5 km. In addition, there is a positive impact from the overall population density and a negative impact from urban density on the share of long-distance trips. This study shows that as districts in India continue to urbanize and develop economically, the propensity for traveling long distances will probably increase. This will result in an increased dependency on motorized modes of transport that negatively impacts the environment, resource consumption, and human health. This study identifies the need for the adoption of development control regulations and policies to maintain the proportion of long-distance trips at a low level as India continues to urbanize. The findings of this study could be useful to project externalities of the transport sector in future years when the urbanization pattern is considered.
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References
Aditjandra, P. T., X. Cao, and C. Mulley. 2012. “Understanding neighbourhood design impact on travel behaviour: An application of structural equations model to a British metropolitan data.” Transp. Res. Part A 46 (1): 22–32. https://doi.org/10.1016/j.tra.2011.09.001.
Ahamad, T., and J. K. Pandey. 2015. “A study on development of rural areas through industries in India.” Int. J. Appl. Res. 1 (4): 93–96.
Ahmad, S., and J. A. Puppim de Oliveira. 2016. “Determinants of urban mobility in India: Lessons for promoting sustainable and inclusive urban transportation in developing countries.” Transp. Policy 50: 106–114. https://doi.org/10.1016/j.tranpol.2016.04.014.
Barros, J. L., A. O. Tavares, M. Monteiro, and P. P. Santos. 2018. “Peri-urbanization and rurbanization in Leiria city: The importance of a planning framework.” Sustainability 10 (7): 2501. https://doi.org/10.3390/su10072501.
Bento, A. M., M. L. Cropper, A. M. Mobarak, and K. Vinha. 2005. “The effects of urban spatial structure on travel demand in the United States.” Rev. Econ. Stat. 87 (3): 466–478. https://doi.org/10.1162/0034653054638292.
Bhalla, K., J. M. Ezzati, A. Mahal, J. Salomon, and M. Reich. 2007. “A risk-based method for modeling traffic fatalities.” Risk Anal. 27 (1): 125–136. https://doi.org/10.1111/j.1539-6924.2006.00864.x.
Bhalla, K., M. Shotten, A. Cohen, M. Brauer, S. Shahraz, R. Burnett, K. Leach-Kemon, G. Freedman, and C. J. Murray. 2014. Transport for health: The global burden of disease from motorized road transport. Washington, DC: World Bank.
Boussauw, K., T. Neutens, and F. Witlox. 2012. “Relationship between spatial proximity and travel-to-work distance: The effect of the compact city.” Reg. Stud. 46 (6): 687–706. https://doi.org/10.1080/00343404.2010.522986.
Cats, O., Q. Wang, and Y. Zhao. 2015. “Identification and classification of public transport activity centres in Stockholm using passenger flows data.” J. Transp. Geogr. 48: 10–22. https://doi.org/10.1016/j.jtrangeo.2015.08.005.
Census of India. 2011a. B-28 “other workers” by distance from residence to place of work and mode of travel to place of work - 2011. New Delhi, India: Office of the Registrar General & Census Commissioner, India.
Census of India. 2011b. Meta data—Census of India 2011. New Delhi, India: Office of the Registrar General & Census Commissioner, India.
Chadchan, J., and R. Shankar. 2012. “An analysis of urban growth trends in the post-economic reforms period in India.” Int. J. Sustainable Built Environ. 1 (1): 36–49. https://doi.org/10.1016/j.ijsbe.2012.05.001.
Datanet India. 2007. “Projected distribution of rural/urban/total households by annual income groups district.” Accessed September 1, 2017. http://www.districteconomystat.com/Index.aspx.
de Palma, A., and D. Rochat. 2000. “Mode choices for trips to work in Geneva: An empirical analysis.” J. Transp. Geogr. 8 (1): 43–51. https://doi.org/10.1016/S0966-6923(99)00026-5.
Elldér, E. 2014. “Residential location and daily travel distances: The influence of trip purpose.” J. Transp. Geogr. 34: 121–130. https://doi.org/10.1016/j.jtrangeo.2013.11.008.
Engelfriet, L., and E. Koomen. 2017. “The impact of urban form on commuting in large Chinese cities.” Transportation 45 (5): 1269–1295. https://doi.org/10.1007/s11116-017-9762-6.
Escobar, A. 2019. “Habitability and design: Radical interdependence and the re-earthing of cities.” Geoforum 101: 132–140. https://doi.org/10.1016/j.geoforum.2019.02.015.
Ewing, R., and R. Cervero. 2010. “Travel and the built environment—A meta-analysis.” J. Am. Plann. Assoc. 76 (3): 265–294. https://doi.org/10.1080/01944361003766766.
Ewing, R., R. Pendall, and D. Chen. 2003. “Measuring sprawl and its transportation impacts.” Transp. Res. Rec. 1831 (1): 175–183. https://doi.org/10.3141/1831-20.
Fraiman, R., A. Justel, and M. Svarc. 2008. “Selection of variables for cluster analysis and classification rules.” J. Am. Stat. Assoc. 103 (483): 1294–1303. https://doi.org/10.1198/016214508000000544.
Goel, R. 2018. “Distance-decay functions of travel to work trips in India.” Data Brief 21: 50–58. https://doi.org/10.1016/j.dib.2018.09.096.
Huang, J., X. X. Sellers, and M. Jefferey. 2007. “A global comparative analysis of urban form: Applying spatial metrics and remote sensing.” Landscape Urban Plann. 82 (4): 184–197. https://doi.org/10.1016/j.landurbplan.2007.02.010.
Hyland, M., Z. Hong, H. K. R. de Farias Pinto, and Y. Chen. 2018. “Hybrid cluster-regression approach to model bikeshare station usage.” Transp. Res. Part A 115: 71–89. https://doi.org/10.1016/j.tra.2017.11.009.
IEA (International Energy Agency). 2007. Key world energy statistics. Paris: IEA.
IEA (International Energy Agency). 2017. Key world energy statistics. Paris: IEA.
India Infrastructure. 2018. Urban rail in India—Segment, trends, outlook and opportunities. New Delhi, India: India Infrastructure Publishing.
Jain, D., and G. Tiwari. 2016. “How the present would have looked like? Impact of non-motorized transport and public transport infrastructure on travel behavior, energy consumption and CO2 emissions—Delhi, Pune and Patna.” Sustainable Cities Soc. 22: 1–10. https://doi.org/10.1016/j.scs.2016.01.001.
Jain, D., and G. Tiwari. 2019. “Measuring density and diversity to model travel behavior in Indian context.” Land Use Policy 88: 104199. https://doi.org/10.1016/j.landusepol.2019.104199.
Kang, C., X. Ma, D. Tong, and Y. Liu. 2012. “Intra-urban human mobility patterns: An urban morphology perspective.” Physica A 391 (4): 1702–1717. https://doi.org/10.1016/j.physa.2011.11.005.
Karathodorou, N., D. J. Graham, and R. B. Noland. 2010. “Estimating the effect of urban density on fuel demand.” Energy Econ. 32 (1): 86–92. https://doi.org/10.1016/j.eneco.2009.05.005.
Kolhe, N. P., and K. K. Dhote. 2016. “Rurban centres: The new dimension of urbanism.” Procedia Technol. 24: 1699–1705. https://doi.org/10.1016/j.protcy.2016.05.198.
Lee, B. 2006. Urban spatial structure and commuting in US metropolitan areas. Los Angeles: Univ. of Southern California.
Lee, J., S. Yasmin, N. Eluru, M. Abdel-Aty, and Q. Cai. 2018. “Analysis of crash proportion by vehicle type at traffic analysis zone level: A mixed fractional split multinomial logit modeling approach with spatial effects.” Accid. Anal. Prev. 111: 12–22. https://doi.org/10.1016/j.aap.2017.11.017.
Lee, S., and B. Lee. 2014. “The influence of urban form on GHG emissions in the U.S. household sector.” Energy Policy 68: 534–549. https://doi.org/10.1016/j.enpol.2014.01.024.
Limtanakool, N., M. Dijst, and T. Schwanen. 2006. “The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips.” J. Transp. Geogr. 14 (5): 327–341. https://doi.org/10.1016/j.jtrangeo.2005.06.004.
Lin, B., and Z. Du. 2015. “How China’s urbanization impacts transport energy consumption in the face of income disparity.” Renewable Sustainable Energy Rev. 52: 1693–1701. https://doi.org/10.1016/j.rser.2015.08.006.
Liu, Y., L. Huang, A. Kaloudis, and M. Store-Valen. 2017. “Does urbanization lead to less energy use on road transport? Evidence from municipalities in Norway.” Transp. Res. Part D 57: 363–377. https://doi.org/10.1016/j.trd.2017.09.021.
Makido, Y., S. Dhakal, and Y. Yamagata. 2012. “Relationship between urban form and CO2 emissions: Evidence from fifty Japanese cities.” Urban Clim. 2: 55–67. https://doi.org/10.1016/j.uclim.2012.10.006.
MoHUA (Ministry of Housing and Urban Affairs). 2017. National transit oriented development (TOD) policy. New Delhi, India: Government of India.
Mitchell Hess, P., A. Vernez Moudon, and M. Logsdon. 2001. “Measuring land use patterns for transportation research.” Transp. Res. Rec. 1780 (1): 17–24. https://doi.org/10.3141/1780-03.
Ma, S., Q. Li, M. Zhou, L. Duan, and D. Bishai. 2012. “Road traffic injury in China: A review of national data sources.” Traffic Inj. Prev. 13 (sup. 1): 57–63. https://doi.org/10.1080/15389588.2011.633945.
Munshi, T. 2016. “Built environment and mode choice relationship for commute travel in the city of Rajkot, India.” Transp. Res. Part D 44: 239–253. https://doi.org/10.1016/j.trd.2015.12.005.
Noiva, K., J. E. Ferníndez, and J. L. Wescoat Jr. 2016. “Cluster analysis of urban water supply and demand: Toward large-scale comparative sustainability planning.” Sustainable Cities Soc. 27: 484–496. https://doi.org/10.1016/j.scs.2016.06.003.
NRSC (National Remote Sensing Centre). 2012. “Land use land cover map (50k): 2011–2012.” Bhuvan Thematic Services. Accessed August 21, 2018. https://bhuvan-app1.nrsc.gov.in/thematic/thematic/index.php.
Papke, L. E., and J. M. Wooldridge. 1996. “Econometric methods for fractional response variables with an application to 401 (k) plan participation rates.” J. Appl. Econom. 11 (6): 619–632. https://doi.org/<619::AID-JAE418>3.0.CO;2-1.
Paveliuc Olariu, C. 2010. “The analysis of the effects of rurbanization on rural communities in the North-East Development of Romania.” Adv. Agric. Botanics 2 (1): 41–48.
Rode, P., G. Floater, N. Thomopoulos, J. Docherty, P. Schwinger, A. Mahendra, and W. Fang. 2017. “Accessibility in cities: Transport and urban form.” In Disrupting mobility, edited by G. Meyer, and S. Shaheen, 239–273. Cham, Switzerland: Springer.
Rodrigue, J. P., C. Comtois, and B. Slack. 2009. The geography of transport systems. London: Taylor & Francis.
Sahana, M., H. Hong, and H. Sajjad. 2018. “Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India.” Sci. Total Environ. 628–629: 1557–1566. https://doi.org/10.1016/j.scitotenv.2018.02.170.
Sambandam, R. 2003. “Cluster analysis gets complicated.” Marketing Res. 15 (1): 16–21.
Samuel, M., and L. E. Okey. 2015. “The relevance and significance of correlation in social science research.” Int. J. Sociol. Anthropol. Res. 11 (3): 22–28.
Sarkar, P., and M. Chunchu. 2016. “Quantification and analysis of land-use effects on travel behavior in smaller Indian cities: Case study of Agartala.” J. Urban Plann. Dev. 142 (4): 04016009. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000322.
Schafer, A., and D. G. Victor. 2000. “The future mobility of the world population.” Transp. Res. Part A 34 (3): 171–205. https://doi.org/10.1016/S0965-8564(98)00071-8.
Schipper, L., F. Unander, and C. Marie-Lilliu. 2000. The energy indicators effort: Increasing the understanding of the energy/emissions link. Paris: International Energy Agency.
Schwanen, T. 2002. “Urban form and commuting behaviour: A cross - European perspective.” Tijdschrift Voor Econom. Soc. Geogr. 93 (3): 336–343. https://doi.org/10.1111/1467-9663.00206.
Sisodia, D., L. Singh, S. Sisodia, and K. Saxena. 2012. “Clustering techniques: A brief survey of different clustering algorithms.” Int. J. Latest Trends Eng. Technol. 1 (3): 82–87.
Sivakumar, A., and C. Bhat. 2002. “Fractional split-distribution model for statewide commodity-flow analysis.” Transp. Res. Rec. 1790 (1): 80–88. https://doi.org/10.3141/1790-10.
Song, Y., G. Shao, X. Song, Y. Liu, L. Pan, and H. Ye. 2017. “The relationships between urban form and urban commuting: An empirical study in China.” Sustainability 9 (7): 1150. https://doi.org/10.3390/su9071150.
Stead, D., and S. Marshall. 2001. “The relationships between urban form and travel patterns. An international review and evaluation.” Eur. J. Transp. Infrastruct. Res. 1 (2): 113–141.
Tiwari, G., and D. Jain. 2013. NMT infrastructure in India: Investment, policy and design. Roskilde, Denmark: UNEP Risø Centre on Energy, Climate and Sustainable Development.
Tiwari, G., D. Jain, and K. Ramachandra Rao. 2016. “Impact of public transport and non-motorized transport infrastructure on travel mode shares, energy, emissions and safety: Case of Indian cities.” Transp. Res. Part D 44: 277–291. https://doi.org/10.1016/j.trd.2015.11.004.
UNDESA (United Nation Department of Economic and Social Affairs). 2015. World urbanization prospects: The 2014 revision. New York: UNDESA.
Veneri, P. 2010. “Urban polycentricity and the costs of commuting: Evidence from Italian metropolitan areas.” Growth Change 41 (3): 403–429. https://doi.org/10.1111/j.1468-2257.2010.00531.x.
Verma, A., H. S. Sudhira, S. Rathi, R. King, and N. Dash. 2013. “Sustainable urbanization using high speed rail (HSR) in Karnataka, India.” Res. Transp. Econ. 38 (1): 67–77. https://doi.org/10.1016/j.retrec.2012.05.013.
Woods, L., and N. Ferguson. 2014. “The influence of urban form on car travel following residential relocation: A current and retrospective study in Scottish urban areas.” J. Transp. Land Use 7 (1): 95–104. https://doi.org/10.5198/jtlu.v7i1.405.
WHO (World Health Organization). 2015. Global status report on road safety 2015. Geneva: WHO.
WHO (World Health Organization). 2016. Ambient air pollution: A global assessment of exposure and burden of disease. Geneva: WHO.
Zhang, Z., Q. He, and S. Zhu. 2017. “Potentials of using social media to infer the longitudinal travel behavior: A sequential model-based clustering method.” Transp. Res. Part C 85: 396–414. https://doi.org/10.1016/j.trc.2017.10.005.
Zhou, J. 2012. “Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students.” Transp. Res. Part A 46 (7): 1013–1029. https://doi.org/10.1016/j.tra.2012.04.001.
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Journal of Urban Planning and Development
Volume 147 • Issue 1 • March 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Jan 23, 2019
Accepted: Sep 18, 2020
Published online: Dec 16, 2020
Published in print: Mar 1, 2021
Discussion open until: May 16, 2021
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