IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v111y2018icp108-118.html
   My bibliography  Save this article

Influence of attitudinal and low-carbon factors on behavioral intention of commuting mode choice – A cross-city study in China

Author

Listed:
  • Jia, Ning
  • Li, Liying
  • Ling, Shuai
  • Ma, Shoufeng
  • Yao, Wang

Abstract

Travel mode choice is critical for analyzing and managing urban traffic in large cities. Traditionally, attitudinal factors including affective, symbolic and instrumental factors are considered to determine mode choice. This study combines the widely-applied attitudinal factors with three low-carbon-related factors: low-carbon awareness, low-carbon knowledge and low-carbon habits, and then investigates the relationship between these factors and the behavior guiding the choice of commuting mode. A questionnaire-based survey was conducted in Beijing, Hangzhou and Jinan. The results of the survey show that low-carbon knowledge and low-carbon habits have direct influence on commuting mode choice, and low-carbon knowledge and instrumental factor are two strongest predictors affecting the choice of commuting mode. Further, great gap exists between behavior intention and actual choice. The results also demonstrate that there are significant differences among the three cities. These findings have some insights on designing policies to promote the usage of public transportation.

Suggested Citation

  • Jia, Ning & Li, Liying & Ling, Shuai & Ma, Shoufeng & Yao, Wang, 2018. "Influence of attitudinal and low-carbon factors on behavioral intention of commuting mode choice – A cross-city study in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 108-118.
    • Handle: RePEc:eee:transa:v:111:y:2018:i:c:p:108-118
    DOI: 10.1016/j.tra.2018.03.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856417304639
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2018.03.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Barr, Stewart & Gilg, Andrew W & Ford, Nicholas, 2005. "The household energy gap: examining the divide between habitual- and purchase-related conservation behaviours," Energy Policy, Elsevier, vol. 33(11), pages 1425-1444, July.
    2. Gadenne, David & Sharma, Bishnu & Kerr, Don & Smith, Tim, 2011. "The influence of consumers' environmental beliefs and attitudes on energy saving behaviours," Energy Policy, Elsevier, vol. 39(12), pages 7684-7694.
    3. Eskeland, Gunnar S & Feyzioglu, Tarhan, 1997. "Rationing Can Backfire: The "Day without a Car" in Mexico City," The World Bank Economic Review, World Bank, vol. 11(3), pages 383-408, September.
    4. Loo, Leanne Yong Le & Corcoran, Jonathan & Mateo-Babiano, Derlie & Zahnow, Renee, 2015. "Transport mode choice in South East Asia: Investigating the relationship between transport users’ perception and travel behaviour in Johor Bahru, Malaysia," Journal of Transport Geography, Elsevier, vol. 46(C), pages 99-111.
    5. Van, Hong Tan & Choocharukul, Kasem & Fujii, Satoshi, 2014. "The effect of attitudes toward cars and public transportation on behavioral intention in commuting mode choice—A comparison across six Asian countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 36-44.
    6. Kaplowitz, Michael D. & Thorp, Laurie & Coleman, Kayla & Kwame Yeboah, Felix, 2012. "Energy conservation attitudes, knowledge, and behaviors in science laboratories," Energy Policy, Elsevier, vol. 50(C), pages 581-591.
    7. David Gadenne & Jessica Kennedy & Catherine McKeiver, 2009. "An Empirical Study of Environmental Awareness and Practices in SMEs," Journal of Business Ethics, Springer, vol. 84(1), pages 45-63, January.
    8. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    9. Zhou, Zhimin & Wu, Jane Peihsun & Zhang, Qiyuan & Xu, Shen, 2013. "Transforming visitors into members in online brand communities: Evidence from China," Journal of Business Research, Elsevier, vol. 66(12), pages 2438-2443.
    10. Cristina Pronello & Cristian Camusso, 2011. "Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables," Post-Print halshs-01084027, HAL.
    11. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    12. Lois, David & López-Sáez, Mercedes, 2009. "The relationship between instrumental, symbolic and affective factors as predictors of car use: A structural equation modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(9-10), pages 790-799, November.
    13. Wang, Lanlan & Xu, Jintao & Qin, Ping, 2014. "Will a driving restriction policy reduce car trips?—The case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 279-290.
    14. 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.
    15. Goldblatt, David L. & Hartmann, Christoph & Durrenberger, Gregor, 2005. "Combining interviewing and modeling for end-user energy conservation," Energy Policy, Elsevier, vol. 33(2), pages 257-271, January.
    16. Wang, Lanlan & Xu, Jintao & Zheng, Xinye & Qin, Ping, "undated". "Will a Driving Restriction Policy Reduce Car Trips? A Case Study of Beijing, China," RFF Working Paper Series dp-13-11-efd, Resources for the Future.
    17. Pronello, Cristina & Camusso, Cristian, 2011. "Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1294-1308.
    18. Huo, Hong & Zhang, Qiang & He, Kebin & Yao, Zhiliang & Wang, Michael, 2012. "Vehicle-use intensity in China: Current status and future trend," Energy Policy, Elsevier, vol. 43(C), pages 6-16.
    19. Liu, Diyi & Du, Huibin & Southworth, Frank & Ma, Shoufeng, 2017. "The influence of social-psychological factors on the intention to choose low-carbon travel modes in Tianjin, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 42-53.
    20. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    21. Martinsson, Johan & Lundqvist, Lennart J. & Sundström, Aksel, 2011. "Energy saving in Swedish households. The (relative) importance of environmental attitudes," Energy Policy, Elsevier, vol. 39(9), pages 5182-5191, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adu-Gyamfi, Gibbson & Song, Huaming & Obuobi, Bright & Nketiah, Emmanuel & Wang, Hong & Cudjoe, Dan, 2022. "Who will adopt? Investigating the adoption intention for battery swap technology for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    2. Zhang, Xin & Zhong, Shiquan & Ling, Shuai & Jia, Ning & Qi, Hang & He, Zhengbing, 2022. "How to promote the transition from solo driving to mobility services delivery? An empirical study focusing on ridesharing," Transport Policy, Elsevier, vol. 129(C), pages 176-187.
    3. Christos Gkartzonikas & Lisa Lorena Losada-Rojas & Sharon Christ & V. Dimitra Pyrialakou & Konstantina Gkritza, 2023. "A multi-group analysis of the behavioral intention to ride in autonomous vehicles: evidence from three U.S. metropolitan areas," Transportation, Springer, vol. 50(2), pages 635-675, April.
    4. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
    5. Liu, Zhiyong & Li, Ruimin & Wang, Xiaokun(Cara) & Shang, Pan, 2018. "Effects of vehicle restriction policies: Analysis using license plate recognition data in Langfang, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 89-103.
    6. Xiang Wu & Bin Hu & Jie Xiong, 2020. "Understanding Heterogeneous Consumer Preferences in Chinese Milk Markets: A Latent Class Approach," Post-Print hal-02489646, HAL.
    7. Adu-Gyamfi, Gibbson & Song, Huaming & Asamoah, Ama Nyarko & Li, Liang & Nketiah, Emmanuel & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Towards sustainable vehicular transport: Empirical assessment of battery swap technology adoption in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    8. Jakučionytė-Skodienė, Miglė & Krikštolaitis, Ričardas & Liobikienė, Genovaitė, 2022. "The contribution of changes in climate-friendly behaviour, climate change concern and personal responsibility to household greenhouse gas emissions: Heating/cooling and transport activities in the Eur," Energy, Elsevier, vol. 246(C).
    9. Mao Ye & Yajing Chen & Guixin Yang & Bo Wang & Qizhou Hu, 2020. "Mixed Logit Models for Travelers’ Mode Shifting Considering Bike-Sharing," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
    10. Adu-Gyamfi, Gibbson & Asamoah, Ama Nyarkoh & Obuobi, Bright & Nketiah, Emmanuel & Zhang, Ming, 2024. "Electric mobility in an oil-producing developing nation: Empirical assessment of electric vehicle adoption," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    11. Chia-Wei Liu & Jen-Son Cheng, 2022. "Low-Carbon Literacy of Exhibitors in the Exhibition Industry in China," Sustainability, MDPI, vol. 14(4), pages 1-13, February.
    12. Xuemei Fu, 2021. "A novel perspective to enhance the role of TPB in predicting green travel: the moderation of affective-cognitive congruence of attitudes," Transportation, Springer, vol. 48(6), pages 3013-3035, December.
    13. Lin, Boqiang & Wang, Xia, 2021. "Does low-carbon travel intention really lead to actual low-carbon travel? Evidence from urban residents in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 743-756.
    14. Timmer, Sebastian & Merfeld, Katrin & Henkel, Sven, 2023. "Exploring motivations for multimodal commuting: A hierarchical means-end chain analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    15. Ma, Liang & Zhang, Xin & Ding, Xiaoyan & Wang, Gaoshan, 2018. "Bike sharing and users’ subjective well-being: An empirical study in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 14-24.
    16. Lin Bai & Zhanguo Zhu & Tong Zhang, 2021. "How to Improve Food Quality in the Domestic Market: The Role of “Same Line Same Standard Same Quality”—Evidence from a Consumer Choice Experiment in China," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    17. Liu, Zhiyong & Li, Ruimin & Wang, Xiaokun (Cara) & Shang, Pan, 2020. "Noncompliance behavior against vehicle restriction policy: A case study of Langfang, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 1020-1033.
    18. Liying Wang & Junya Wang & Pengxia Shen & Shangqing Liu & Shuwei Zhang, 2023. "Low-Carbon Travel Behavior in Daily Residence and Tourism Destination: Based on TPB-ABC Integrated Model," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    19. Wu Li & Shengchuan Zhao & Jingwen Ma & Wenwen Qin, 2021. "Investigating Regional and Generational Heterogeneity in Low-Carbon Travel Behavior Intention Based on a PLS-SEM Approach," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    20. Qingyin Li & Meilin Dai & Yongli Zhang & Rong Wu, 2023. "The Effect of Public Traffic Accessibility on the Low-Carbon Awareness of Residents in Guangzhou: The Perspective of Travel Behavior," Land, MDPI, vol. 12(10), pages 1-20, October.
    21. Yang, W.H. & Wong, R.C.P. & Szeto, W.Y., 2018. "Modeling the acceptance of taxi owners and drivers to operate premium electric taxis: Policy insights into improving taxi service quality and reducing air pollution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 581-593.
    22. Jahun Koo & Sangho Choo, 2022. "Identification of Causal Relationship between Attitudinal Factors and Intention to Use Transportation Mode," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    23. Si, Hongyun & Su, Yangyue & Wu, Guangdong & Liu, Bingsheng & Zhao, Xianbo, 2020. "Understanding bike-sharing users’ willingness to participate in repairing damaged bicycles: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 203-220.
    24. Liu, Jianmiao & Li, Junyi & Chen, Yong & Lian, Song & Zeng, Jiaqi & Geng, Maosi & Zheng, Sijing & Dong, Yinan & He, Yan & Huang, Pei & Zhao, Zhijian & Yan, Xiaoyu & Hu, Qinru & Wang, Lei & Yang, Di & , 2023. "Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management," Applied Energy, Elsevier, vol. 331(C).
    25. Adu-Gyamfi, Gibbson & Song, Huaming & Nketiah, Emmanuel & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Determinants of adoption intention of battery swap technology for electric vehicles," Energy, Elsevier, vol. 251(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bai, Yin & Liu, Yong, 2013. "An exploration of residents’ low-carbon awareness and behavior in Tianjin, China," Energy Policy, Elsevier, vol. 61(C), pages 1261-1270.
    2. Timmer, Sebastian & Bösehans, Gustav & Henkel, Sven, 2023. "Behavioural norms or personal gains? – An empirical analysis of commuters‘ intention to switch to multimodal mobility behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    3. Qingyin Li & Meilin Dai & Yongli Zhang & Rong Wu, 2023. "The Effect of Public Traffic Accessibility on the Low-Carbon Awareness of Residents in Guangzhou: The Perspective of Travel Behavior," Land, MDPI, vol. 12(10), pages 1-20, October.
    4. Wolf, Ingo & Schröder, Tobias, 2019. "Connotative meanings of sustainable mobility: A segmentation approach using cultural sentiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 259-280.
    5. Zhang, Xin & Zhong, Shiquan & Ling, Shuai & Jia, Ning & Qi, Hang & He, Zhengbing, 2022. "How to promote the transition from solo driving to mobility services delivery? An empirical study focusing on ridesharing," Transport Policy, Elsevier, vol. 129(C), pages 176-187.
    6. Liu, Zhiyong & Li, Ruimin & Wang, Xiaokun(Cara) & Shang, Pan, 2018. "Effects of vehicle restriction policies: Analysis using license plate recognition data in Langfang, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 89-103.
    7. Schwanen, Tim, 2020. "Towards decolonial human subjects in research on transport," Journal of Transport Geography, Elsevier, vol. 88(C).
    8. Nieves García-de-Frutos & José Manuel Ortega-Egea & Javier Martínez-del-Río, 2018. "Anti-consumption for Environmental Sustainability: Conceptualization, Review, and Multilevel Research Directions," Journal of Business Ethics, Springer, vol. 148(2), pages 411-435, March.
    9. Alonso-González, María J. & Hoogendoorn-Lanser, Sascha & van Oort, Niels & Cats, Oded & Hoogendoorn, Serge, 2020. "Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 378-401.
    10. Yue, Ting & Long, Ruyin & Chen, Hong, 2013. "Factors influencing energy-saving behavior of urban households in Jiangsu Province," Energy Policy, Elsevier, vol. 62(C), pages 665-675.
    11. Cristina Pronello & Jean-Baptiste Gaborieau, 2018. "Engaging in Pro-Environment Travel Behaviour Research from a Psycho-Social Perspective: A Review of Behavioural Variables and Theories," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    12. Liu, Zhiyong & Li, Ruimin & Wang, Xiaokun (Cara) & Shang, Pan, 2020. "Noncompliance behavior against vehicle restriction policy: A case study of Langfang, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 1020-1033.
    13. Loo, Leanne Yong Le & Corcoran, Jonathan & Mateo-Babiano, Derlie & Zahnow, Renee, 2015. "Transport mode choice in South East Asia: Investigating the relationship between transport users’ perception and travel behaviour in Johor Bahru, Malaysia," Journal of Transport Geography, Elsevier, vol. 46(C), pages 99-111.
    14. Zierler, Rupert & Wehrmeyer, Walter & Murphy, Richard, 2017. "The energy efficiency behaviour of individuals in large organisations: A case study of a major UK infrastructure operator," Energy Policy, Elsevier, vol. 104(C), pages 38-49.
    15. Chun-Hsi Vivian Chen & Yu-Cheng Chen, 2021. "Assessment of Enhancing Employee Engagement in Energy-Saving Behavior at Workplace: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    16. He, Mingwei & He, Chengfeng & Shi, Zhuangbin & He, Min, 2022. "Spatiotemporal heterogeneous effects of socio-demographic and built environment on private car usage: An empirical study of Kunming, China," Journal of Transport Geography, Elsevier, vol. 101(C).
    17. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    18. Wang, Chao & Zhan, Jinyan & Wang, Huihui & Yang, Zheng & Chu, Xi & Liu, Wei & Teng, Yanmin & Liu, Huizi & Wang, Yifan, 2022. "Multi-group analysis on the mechanism of residents' low-carbon behaviors in Beijing, China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    19. Imran Hossain & Maria Fekete-Farkas & Md. Nekmahmud, 2022. "Purchase Behavior of Energy-Efficient Appliances Contribute to Sustainable Energy Consumption in Developing Country: Moral Norms Extension of the Theory of Planned Behavior," Energies, MDPI, vol. 15(13), pages 1-20, June.
    20. Schuitema, Geertje & Anable, Jillian & Skippon, Stephen & Kinnear, Neale, 2013. "The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 39-49.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:111:y:2018:i:c:p:108-118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.