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Commuters’ behavior towards upgraded bus services in Greater Beirut: Implications for greenhouse gas emissions, social welfare and transport policy

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  • Chalak, Ali
  • Al-Naghi, Hani
  • Irani, Alexandra
  • Abou-Zeid, Maya

Abstract

Climate change is one of the most critical environmental challenges faced in the world today. The transportation sector alone contributes to 22% of carbon emissions, of which 80% are contributed by road transportation. In this paper we investigate the potential private car greenhouse gas (GHG) emissions reduction and social welfare gains resulting from upgrading the bus service in the Greater Beirut Area. To this end, a stated preference (SP) survey on mode switching from private car to bus was conducted in this area and analyzed by means of a mixed logit model. We then used the model outputs to simulate aggregate switching behavior in the study area and the attendant welfare and environmental gains and private car GHG emissions reductions under various alternative scenarios of bus service upgrade. We recommend a bundle of realistic bus service improvements in the short term that will result in a reasonable shift to buses and measurable reduction in private car emissions. We argue that such improvements will need to be comprehensive in scope and include both improvements in bus level of service attributes (access/egress time, headway, in-vehicle travel time, and number of transfers) and the provision of amenities, including air-conditioning and Wi-Fi. Moreover, such a service needs to be cheaply priced to achieve reasonably high levels of switching behavior. With a comprehensively overhauled bus service, one would expect that bus ridership would increase for commuting purposes at first, and once the habit for it is formed, for travel purposes other than commuting, hence dramatically broadening the scope of private car GHG emissions reduction. This said, this study demonstrates the limits of focused sectorial policies in targeting and reducing private car GHG emissions, and highlights the need for combining behavioral interventions with other measures, most notably technological innovations, in order for the contribution of this sector to GHG emissions mitigation to be sizable.

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  • Chalak, Ali & Al-Naghi, Hani & Irani, Alexandra & Abou-Zeid, Maya, 2016. "Commuters’ behavior towards upgraded bus services in Greater Beirut: Implications for greenhouse gas emissions, social welfare and transport policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 265-285.
    • Handle: RePEc:eee:transa:v:88:y:2016:i:c:p:265-285
    DOI: 10.1016/j.tra.2016.04.001
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    as
    1. Sengupta, Raja & Walker, Joan L., 2015. "Quantified Traveler: Travel Feedback Meets the Cloud to Change Behavior," University of California Transportation Center, Working Papers qt2vw4n4zc, University of California Transportation Center.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Bin, Shui & Dowlatabadi, Hadi, 2005. "Corrigendum to "Consumer lifestyles approach to US energy use and the related CO2 emissions": [Energy Policy 33 (2005) 197-208]," Energy Policy, Elsevier, vol. 33(10), pages 1362-1363, July.
    4. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    5. Bin, Shui & Dowlatabadi, Hadi, 2005. "Consumer lifestyle approach to US energy use and the related CO2 emissions," Energy Policy, Elsevier, vol. 33(2), pages 197-208, January.
    6. Barkenbus, Jack N., 2010. "Eco-driving: An overlooked climate change initiative," Energy Policy, Elsevier, vol. 38(2), pages 762-769, February.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    8. Abou-Zeid, Maya & Ben-Akiva, Moshe, 2012. "Travel mode switching: Comparison of findings from two public transportation experiments," Transport Policy, Elsevier, vol. 24(C), pages 48-59.
    9. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    10. Schwanen, Tim & Banister, David & Anable, Jillian, 2011. "Scientific research about climate change mitigation in transport: A critical review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 993-1006.
    11. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
    12. de Jong, Gerard & Daly, Andrew & Pieters, Marits & van der Hoorn, Toon, 2007. "The logsum as an evaluation measure: Review of the literature and new results," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 874-889, November.
    13. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    14. Maren Outwater & Greg Spitz & John Lobb & Margaret Campbell & Bhargava Sana & Ram Pendyala & William Woodford, 2011. "Characteristics of premium transit services that affect mode choice," Transportation, Springer, vol. 38(4), pages 605-623, July.
    15. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    16. Eliasson, Jonas & Mattsson, Lars-Göran, 2006. "Equity effects of congestion pricing: Quantitative methodology and a case study for Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 602-620, August.
    17. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    18. Hess, Stephane & Bierlaire, Michel & Polak, John W., 2005. "Estimation of value of travel-time savings using mixed logit models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 221-236.
    19. Satoshi Fujii & Ryuichi Kitamura, 2003. "What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change," Transportation, Springer, vol. 30(1), pages 81-95, February.
    20. El Fadel, M. & Rachid, G. & El-Samra, R. & Bou Boutros, G. & Hashisho, J., 2013. "Emissions reduction and economic implications of renewable energy market penetration of power generation for residential consumption in the MENA region," Energy Policy, Elsevier, vol. 52(C), pages 618-627.
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    5. Phattarasuda Witchayaphong & Surachet Pravinvongvuth & Kunnawee Kanitpong & Kazushi Sano & Suksun Horpibulsuk, 2020. "Influential Factors Affecting Travelers’ Mode Choice Behavior on Mass Transit in Bangkok, Thailand," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
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    7. Wenjie Chen & Xiaogang Wu & Zhu Xiao, 2023. "Impact of Environmental Policy Mix on Carbon Emission Reduction and Social Welfare: Scenario Simulation Based on Private Vehicle Trajectory Big Data," Energies, MDPI, vol. 16(15), pages 1-18, August.
    8. Yi Fan & Ho Pin Teo & Wayne X. Wan, 2021. "Public transport, noise complaints, and housing: Evidence from sentiment analysis in Singapore," Journal of Regional Science, Wiley Blackwell, vol. 61(3), pages 570-596, June.
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    10. Magalhães, David José Ahouagi Vaz de & Rivera-Gonzalez, Carlos, 2021. "Car users’ attitudes towards an enhanced bus system to mitigate urban congestion in a developing country," Transport Policy, Elsevier, vol. 110(C), pages 452-464.

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