Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Kongresse
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Veranstaltungskalender Awards MyNewsletter Firmensuche
Kunden Login
Über Einzelzugang informieren
Über Unternehmenszugang informieren
Referenzkunden
12. Internationaler Motorenkongress 2025 | 25. + 26. Februar 2025

Treffpunkt der Community für Antriebe und nachhaltige Kraftstoffe

Der Kongress beleuchtet die zukünftige Rolle des Verbrennungsmotors und seiner nichtfossilen Kraftstoffe aus globaler Sicht mit führenden Experten. Seien Sie dabei! Weitere Informationen und Buchungsmöglichkeiten finden Sie auf unserer Website.
Erweiterte Suche
Anmelden
nach oben
International Journal of Intelligent Transportation Systems Research

29.11.2024

Driving towards Sustainability: Understanding Drivers and Barriers in Adoption of Green Mobility

verfasst von: Rakesh Jha, Mukesh Kumar Singh

Erschienen in: International Journal of Intelligent Transportation Systems Research

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Moving towards sustainable transportation is essential in mitigating environmental effects and achieving worldwide sustainability targets. Explore the impact of green mobility and sustainable transportation. This study investigates how the barriers (institutional, infrastructure, financial, and social) and drivers (Perceived benefits, technology benefits, environmental concerns, and government policies) impact green mobility among stakeholders in Jharkhand, India, highlighting a significant gap in understanding how these factors affect adoption in developing urban areas. Using a sample size of 334 participants, selected through convenience sampling, data was collected via an online questionnaire distributed through Google Forms. The study utilizes Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the data and pinpoint important factors influencing the acceptance of sustainable transportation. The study’s findings show that several factors influence the adoption of green mobility (GMA). Key factors include Infrastructure Barriers (IF) (p = 0.015), Institutional Barriers (IB) (p = 0.000), Perceived Benefits (PB) (p = 0.000), Environmental Concerns (EC) (p = 0.023), and Government Concerns (GC) (0.029). Furthermore, green mobility adoption has a significant impact on sustainable transportation (ST) (p = 0.000). However, Financial Barriers (FB) (p = 0.424), Social Barriers (SB) (p = 0.202), and Technological Benefits (TB) (p = 0.077) had no significant effect on the adoption process. The results show that barriers like institutional and infrastructure impact the adoption of green mobility. Also, the drivers like Perceived benefits environmental concerns, and government policies impact the adoption of green mobility. By understanding these dynamics, the research provides practical insights for policymakers, manufacturers, and stakeholders to encourage the broad use of green mobility solutions, thus aiding in creating a more sustainable urban environment. Compared to previous studies, our work highlights the importance of infrastructure and institutional challenges while offering different perspectives on financial and social barriers.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

ATZelectronics worldwide

ATZlectronics worldwide is up-to-speed on new trends and developments in automotive electronics on a scientific level with a high depth of information. 

Order your 30-days-trial for free and without any commitment.

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Weitere Produktempfehlungen anzeigen
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Chidambaram, K., Ashok, B., Vignesh, R., Deepak, C., Ramesh, R., Narendhra, T.M., Muhammad Usman, K., Kavitha, C.: Critical analysis of the implementation barriers and consumer perception toward future electric mobility. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 237(4), pp.622–654. (2023)
2.
Deo, A., German, J.: Fuel consumption from new passenger cars in India: Manufacturers’ performance in fiscal year 2020–21. The International Council on Clean Transportation (ICCT) Working Paper, 42. (2021)
3.
Ntafalias, A., Papadopoulos, G., Papadopoulos, P., Huovila, A.A.: Comprehensive Methodology for assessing the impact of Smart City interventions: Evidence from Espoo Transformation Process. Smart Cities. 5, 6 (2022)CrossRef
4.
Xu, X., Gao, J., Zhang, Z., Fu, J.: An Assessment of Chinese Pathways to implement the UN Sustainable Development Gola-11 (SDG-11): A case study of the Yangtze River Delta Urban Agglomeration. Int. J. Environ. Res. Public. Health. 16, 2288 (2019)CrossRef
5.
Medina-Molina, C., Rey-Tienda, M.D.L.S., Suárez-Redondo, E.M.: The transition of cities towards innovations in mobility: Searching for a global perspective. Int. J. Environ. Res. Public Health. 19(12), 7197 (2022)CrossRef
6.
Jha, R.: Electric mobility adoption in India–Policy & initiatives to promote E-Mobility in Jharkhand. Int. Manage. Rev. 20(1), 63–74 (2024)
7.
Jha, R., Singh, M.K.: Analysing the impact of Social Influence on Electric Vehicle adoption: A deep learning-based Simulation Study in Jharkhand, India. Int. J. Comput. Experimental Sci. Eng., 10(4). (2024)
8.
Bieker, G.: A global comparison of the life-cycle greenhouse gas emissions of combustion engine and electric passenger cars. Communications. 49(30), 847129–847102 (2021)
9.
Smith, G., Sochor, J., Karlsson, I.M.: Adopting mobility-as-a-Service: An empirical analysis of end-users’ experiences. Travel Behav. Soc. 28, 237–248 (2022)CrossRef
10.
Melander, L., Nyquist-Magnusson, C., Wallström, H.: Drivers for and barriers to electric freight vehicle adoption in Stockholm. Transp. Res. Part. D: Transp. Environ. 108, 103317 (2022)CrossRef
11.
Nawaz, M.U., Umar, S., Qureshi, M.S.: Life Cycle Analysis of Solar-Powered Electric vehicles: Environmental and economic perspectives. Int. J. Adv. Eng. Technol. Innovations. 1(3), 96–115 (2024)
12.
Kayikci, Y., Kabadurmus, O.: Barriers to the adoption of the mobility-as-a-service concept: The case of Istanbul, a large emerging metropolis. Transp. Policy. 129, 219–236 (2022)CrossRef
13.
Jaiswal, D., Kaushal, V., Kant, R., Singh, P.K.: Consumer adoption intention for electric vehicles: Insights and evidence from Indian sustainable transportation. Technological Forecasting and Social Change, 173, p.121089. (2021)
14.
Palit, T., Bari, A.M., Karmaker, C.L.: An integrated Principal Component Analysis and Interpretive Structural modeling approach for electric vehicle adoption decisions in sustainable transportation systems. Decis. Analytics J. 4, 100119 (2022)CrossRef
15.
Limon, M.H., Debnath, B., Bari, A.M.: Exploration of the drivers influencing the growth of hybrid electric vehicle adoption in the emerging economies: Implications towards sustainability and low-carbon economy. Sustainable Oper. Computers. 4, 76–87 (2023)CrossRef
16.
Jiang, W., Dominguez, C.R., Zhang, P., Shen, M., Zhang, L.: Large-scale nationwide ridesharing system: A case study of Chunyun. Int. J. Transp. Sci. Technol. 7(1), 45–59 (2018)CrossRef
17.
Kant, P., Machavarapu, P.K., Gajjar, H.: Assessment of drivers and barriers in the adoption of mobility as a service (MaaS): A case study of Noida, India. Urban Plann. Transp. Res. 11(1), 2247044 (2023)CrossRef
18.
Heidenreich, S., Kraemer, T.: Innovations—doomed to fail? Investigating strategies to overcome passive innovation resistance. J. Prod. Innov. Manage. 33(3), 277–297 (2016)CrossRef
19.
Sclar, R., Gorguinpour, C., Castellanos, S., Li, X.: (2019). Barriers to adopting electric buses.
20.
Chen, C.F., de Rubens, G.Z., Noel, L., Kester, J., Sovacool, B.K.: Assessing the socio-demographic, technical, economic, and behavioral factors of nordic electric vehicle adoption and the influence of vehicle-to-grid preferences. Renew. Sustain. Energy Rev. 121, 109692 (2020)CrossRef
21.
Flipo, A., Sallustio, M., Ortar, N., Senil, N.: Sustainable mobility and the institutional lock-in: The example of rural France. Sustainability, 13(4), p.2189. (2021)
22.
Schippl, J., Truffer, B., Fleischer, T.: Potential impacts of institutional dynamics on the development of automated vehicles: Towards sustainable mobility? Transp. Res. Interdisciplinary Perspect. 14, 100587 (2022)CrossRef
23.
Kongklaew, C., Phoungthong, K., Prabpayak, C., Chowdhury, M.S., Khan, I., Yuangyai, N., Yuangyai, C., Techato, K.: Barriers to electric vehicle adoption in Thailand. Sustainability. 13(22), 12839 (2021)CrossRef
24.
Illmann, U., Kluge, J.: Public charging infrastructure and the market diffusion of electric vehicles. Transp. Res. Part. D: Transp. Environ. 86, 102413 (2020)CrossRef
25.
Arif Khan, M., Patel, R.K., Pamidimukkala, A., Kermanshachi, S., Rosenberger, J.M., Hladik, G., Foss, A.: Factors that determine a university community’s satisfaction levels with public transit services. Frontiers in Built Environment, 9, p.1125149. (2023)
26.
Berkeley, N., Jarvis, D., Jones, A.: Analyzing the take up of battery electric vehicles: An investigation of barriers amongst drivers in the UK. Transp. Res. Part. D: Transp. Environ. 63, 466–481 (2018)CrossRef
27.
Kumar, R.R., Alok, K.: Adoption of electric vehicle: A literature review and prospects for sustainability. J. Clean. Prod. 253, 119911 (2020)CrossRef
28.
Lim, M.K., Mak, H.Y., Rong, Y.: Toward mass adoption of electric vehicles: Impact of the range and resale anxieties. Manuf. Service Oper. Manage. 17(1), 101–119 (2015)CrossRef
29.
Anastasiadou, K., Gavanas, N.: State-of-the-art review of the key factors affecting electric vehicle adoption by consumers. Energies. 15(24), 9409 (2022)CrossRef
30.
Kim, M.K., Oh, J., Park, J.H., Joo, C.: Perceived Value and Adoption Intention for Electric Vehicles in Korea: Moderating Effects of Environmental Traits and Government Supports, vol. 159, pp. 799–809. Energy (2018)
31.
Parker, N., Breetz, H.L., Salon, D., Conway, M.W., Williams, J., Patterson, M.: Who saves money buying electric vehicles? Heterogeneity in total cost of ownership. Transp. Res. Part. D: Transp. Environ. 96, 102893 (2021)CrossRef
32.
Zailani, S., Iranmanesh, M., Nikbin, D., Jumadi, H.B.: Determinants and environmental outcome of green technology innovation adoption in the transportation industry in Malaysia. Asian J. Technol. Innov. 22(2), 286–301 (2014)CrossRef
33.
Spena, P.R., Rossini, M., Matt, D.T., Ciarapica, F.E.: Factors and barriers affecting the purchase of electric vehicles in the Italian market. Int. J. Productivity Qual. Manage. 18(2–3), 210–237 (2016)CrossRef
34.
She, Z.Y., Sun, Q., Ma, J.J., Xie, B.C.: What are the Barriers to Widespread Adoption of Battery Electric Vehicles? A Survey of Public Perception in Tianjin, China, vol. 56, pp. 29–40. Transport Policy (2017)
35.
Steinhilber, S., Wells, P., Thankappan, S.: Socio-technical inertia: Understanding the barriers to electric vehicles. Energy Policy. 60, 531–539 (2013)CrossRef
36.
Vermesan, O., John, R., Pype, P., Daalderop, G., Kriegel, K., Mitic, G., Lorentz, V., Bahr, R., Sand, H.E., Bockrath, S., Waldhör, S.: Automotive intelligence embedded in electrically connected autonomous and shared vehicles technology for sustainable green mobility. Front. Future Transp. 2, 688482 (2021)CrossRef
37.
Paiva, S., Ahad, M.A., Tripathi, G., Feroz, N., Casalino, G.: Enabling technologies for urban smart mobility: Recent trends, opportunities and challenges. Sensors, 21(6), p.2143. (2021)
38.
Herberz, M., Hahnel, U.J., Brosch, T.: The importance of consumer motives for green mobility: A multi-modal perspective. Transp. Res. Part. A: Policy Pract. 139, 102–118 (2020)
39.
Echeverría, L., Giménez-Nadal, J.I., Molina, J.A.: Who uses green mobility? Exploring profiles in developed countries. Transp. Res. part. A: Policy Pract. 163, 247–265 (2022)
40.
Ecer, F.: A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies. Renew. Sustain. Energy Rev. 143, 110916 (2021)CrossRef
41.
Singh, V., Singh, V., Vaibhav, S.: Analysis of electric vehicle trends, development, and policies in India. Case Stud. Transp. Policy. 9(3), 1180–1197 (2021)CrossRef
42.
Abdel Wahed Ahmed, M.M., Monem, A.E., N: Sustainable and green transportation for a better quality of life case study greater Cairo–Egypt. HBRC J. 16(1), 17–37 (2020)CrossRef
43.
Ogryzek, M., Adamska-Kmieć, D., Klimach, A.: Sustainable transport: An efficient transportation network—case study. Sustainability. 12(19), 8274 (2020)CrossRef
44.
Cochran, W.G.: Sampling Techniques. john wiley& sons (1977)
45.
Kyriazos, T.A.: Applied psychometrics: sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology, 9(08), p.2207. (2018)
46.
Wolf, E.J., Harrington, K.M., Clark, S.L., Miller, M.W.: Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educ. Psychol. Meas. 73(6), 913–934 (2013)CrossRef
47.
Sideridis, G., Simos, P., Papanicolaou, A., Fletcher, J.: Using structural equation modeling to assess functional connectivity in the brain: Power and sample size considerations. Educ. Psychol. Meas. 74(5), 733–758 (2014)CrossRef
48.
Afthanorhan, A., Awang, Z., Mamat, M., Sultan, U., Abidin, Z.: A comparative study between GSCA-SEM and PLS-SEM. MJ J. Stat. Probab. 1(1), 63–72 (2016)
49.
Xiong, B., Skitmore, M., Xia, B.: A critical review of structural equation modeling applications in construction research. Autom. Constr. 49, 59–70 (2015)CrossRef
50.
Hau, K.T., Marsh, H.W.: The use of item parcels in structural equation modeling: Non-normal data and small sample sizes. Br. J. Math. Stat. Psychol. 57(2), 327–351 (2004)CrossRef
51.
Fan, X., Thompson, B., Wang, L.: Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes. Struct. Equation Modeling: Multidisciplinary J. 6(1), 56–83 (1999)CrossRef
52.
Hair J.F., Astrachan C.B., Moisescu O.I., Radomir L., Sarstedt M., Vaithilingam S., Ringle C.M.: Executing and interpreting applications of PLS-SEM: Updates for family business researchers. J. Family Bus. Strategy. 12(3), 100392 (2021)
53.
Sarstedt, M., Ringle, C.M., Hair, J.F.: Partial least squares structural equation modeling. In: Handbook of Market Research, pp. 587–632. Springer International Publishing, Cham (2021)
54.
Hair, J.F. Jr., Matthews, L.M., Matthews, R.L., Sarstedt, M.: PLS-SEM or CB-SEM: Updated guidelines on which method to use. Int. J. Multivar. Data Anal. 1(2), 107–123 (2017)
55.
Ahmad, S., Zulkurnain, N., Khairushalimi, F.: Assessing the validity and reliability of a measurement model in Structural equation modeling (SEM). Br. J. Math. Comput. Sci. 15(3), 1–8 (2016)
56.
Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)
57.
Gopi, R., Pathak, D.V., Pratap, S.: Barriers and drivers for sustainable public transportation in the Indian context. Green. Energy Intell. Transp. 3(1), 100141 (2024)
Metadaten
Titel
Driving towards Sustainability: Understanding Drivers and Barriers in Adoption of Green Mobility
verfasst von
Rakesh Jha
Mukesh Kumar Singh
Publikationsdatum
29.11.2024
Verlag
Springer US
Erschienen in
International Journal of Intelligent Transportation Systems Research
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-024-00443-y

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise