Passenger Transport Modal Mix by Incorporating Travel Behaviour: A Case Study of Kathmandu Valley, Nepal
DOI:
https://doi.org/10.13052/spee1048-4236.4032Keywords:
Travel behaviour, TIMES model, travel time, energy, emissions.Abstract
Most of the travel demand in developing countries is fulfilled by private vehicles dominated by 2-wheelers due to their affordability, accessibility, and availability, which has direct effects on energy, economy, and environment. To achieve sustainable transport, policies such as electric mobility and mass transport options have been implemented which are mainly focused on technology shift based on technology cost and environmental externalities. Transport modelling in this study was carried out using an additional attribute: travel time which shows the impact of travel behaviour on the optimal modal mix and the consequent impact on energy and emissions. The scenario-based approach using the travel time budget (TTB) concept was used using a bottom-up TIMES modelling framework. The scenario analysis shows the trade-off between the speed of the vehicle, available travel time, and sustainability in transport. The result suggests that the investment in rapid transit would be the potential future mode in Kathmandu valley.
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References
EIA. 2019. “International Energy Outlook 2019”, U.S. Energy Informa-
tion Administration.
GFEI. 2019. “Global Fuel Economy Initiative Update,” Global Fuel
Economy Initiative Global Fuel Economy Initiative.
A. Prajapati et al.
S. Gota, 2018. “The road towards low carbon mobility,” ed 21 rue du
Faubourg Saint-Antoine, 75011 Paris: Climate Chance.
W.-S. Ng, 2018. “Urban Transportation Mode Choice and Carbon Emis-
sions in Southeast Asia,” Transportation Research Record: Journal of the
Transportation Research Board, vol. 2672, pp. 54–67.
V. A. Tuan, 2015. “Mode Choice Behaviour and Modal Shift to Public
Transport in Developing Countries – the Case of Hanoi City,” Journal of
the Eastern Asia Society for Transportation Studies, vol. 11.
G. Venturini, J. Tattini, E. Mulholland, and B. ́O. Gallach ́oir, 2018.
“Improvements in the representation of behavior in integrated energy
and transport models,” International Journal of Sustainable Transporta-
tion, vol. 13, pp. 294–313.
R. Gerboni, D. Grosso, A. Carpignano, and B. Dalla Chiara, 2017
. “Linking energy and transport models to support policy making,”
Energy Policy, vol. 111, pp. 336–345.
J. Tattini, K. Ramea, M. Gargiulo, C. Yang, E. Mulholland, S. Yeh, et
al., 2018. “Improving the representation of modal choice into bottom-
up optimization energy system models – The MoCho-TIMES model,”
Applied Energy, vol. 212, pp. 265–282.
A. Schafer and D. G. Victor, 2000. “The future mobility of world
population 2000,” Transportation Research Part A, vol. 34, pp. 171–204.
M. Salonen and T. Toivonen, 2013. “Modelling travel time in urban
networks: comparable measures for private car and public transport,”
Journal of Transport Geography, vol. 31, pp. 143–153.
S. Pye and H. Daly, 2015. “Modelling sustainable urban travel in a whole
systems energy model,” Applied Energy, vol. 159, pp. 97–107.
H. E. Daly, K. Ramea, A. Chiodi, S. Yeh, M. Gargiulo, and B. ́O.
Gallach ́oir, 2014. “Incorporating travel behaviour and travel time into
TIMES energy system models,” Applied Energy, vol. 135, pp. 429–439.
DOTM. 2019. Department of Transport Management, Ministry of Phys-
ical Infrastructure and Transport, Government of Nepal. Available:
dotm.gov.np
S. Malla, 2014. “Assessment of mobility and its impact on energy use
and air pollution in Nepal,” Energy, vol. 69, pp. 485–496.
CBS, 2011. “Nepal Living Standard Survey 2010/11, Statistical Report,
Volume One,” Central Bureau of Statistics, National Planning Com-
mission Secretariat, Government of Nepal, Central Bureau of Statis-
tics, National Planning Commission Secretariat, Government of Nepal,
Kathmandu, Nepal.
Passenger Transport Modal Mix by Incorporating Travel Behaviour 251
NRB, 20121. Nepal Rastra Bank, “The Share of Kathmandu Valley in
the National Economy,” Kathmandu, Nepal.
NOC, 2020. Nepal Oil Corporation Limited. Import and Sales. Avail-
able: http://noc.org.np/import
T. Wulf, P. Meißner, and S. Stubner, 2010. “ Scenario-based Approach
to Strategic Planning – Integrating Planning and Process Perspective of
Strategy,” Working Paper.
A. Prajapati, T. R. Bajracharya, and N. Bhattarai, 2017. “Driving Fac-
tors of Energy Consumption in Transport Sector,” in IOE Graduate
Conference.
S. Baidya and J. Borken-Kleefeld, 2009. “Atmospheric emissions from
road transportation in India,” Energy Policy, vol. 37, pp. 3812–3822.
I. Bajracharya and N. Bhattarai, 2016. “Road Transportation Energy
Demand and Environmental Emission: A Case of Kathmandu Valley,”
Hydro Nepal: Journal of Water, Energy and Environment, vol. 18,
pp. 30–40.
CBS, 2001. “Population Monograph of Nepal,” Central Bureau of
Statistics, Central Bureau of Statistics, Kathmandu, Nepal.
MoF, 2020. “Economic Survey 2019–2020,” Ministry of Finance, Gov-
ernment of Nepal, Kathmandu, Nepal.
NPC, 2019. “15th approach paper,” National Planning Commission,
Kathmandu, Nepal.
World Bank. 2020. Nepal Development Update. Available: https://www.
worldbank.org/en/country/nepal/publication/nepaldevelopmentupdate
WECS, 2021. “Energy Consumption and Supply Situation of Federal
System of Nepal (Province No. 1 and Province No. 2),” Water and
Energy Commission Secretariat, Government of Nepal, Kathmandu,
Nepal.
UNDESA, 2019. “World Population Prospects 2019,” United Nations
Department of Economic and Social Affairs Population Dynamics.
A. Prajapati, N. Bhattarai, and T. R. Bajracharya, 2020. “Spatio-
Temporal Analysis Of Public Transportation System Using Static Tran-
sit Accessibility Methodological Framework,” International Journal of
Scientific & Technology Research, vol. 9.