Smart City Gnosys

Smart city article details

Title Usage Of Transport Apps By Indian Commuters: An Empirical Investigation
ID_Doc 60327
Authors Haldar P.; Goel P.
Year 2021
Published Urban Book Series
DOI http://dx.doi.org/10.1007/978-3-030-71945-6_14
Abstract The present study with an objective to make an original contribution in the literature of technology adoption by developing a conceptual framework based on Technology Acceptance Model (TAM) in the context of usage transport apps. The current study examined the relationships among perceived ease of use (PEU), perceived usefulness (PU), habit, collaboration, and usage of transport apps. The model was tested empirically using AMOS 21 by collecting data using convenient sampling method from 388 respondents by means of structured questionnaire. The results exhibited that PU, PEU, habit, and collaboration had a significant positive relationship with usage of transport apps. Overall, the extended TAM model contributed valuable insights on Indian commuters’ usage behaviour of transport apps. Further, this study provided inputs to policymakers, marketers, and app developers to redesign their strategies to make transport system technologically driven and sustainable. © 2021, Springer Nature Switzerland AG.
Author Keywords Smart cities; Sustainability; TAM; Transport apps; Urban mobility; Usage behaviour


Similar Articles

Id Similarity Authors Title Published
51211 View0.888Dash A.Smart Mobility In Smart Cities: Transforming The Experiences Of Citizens Into The Future Of Smart CitiesTransforming Government: People, Process and Policy, 18, 2 (2024)
22663 View0.88Javadinasr M.; Asgharpour S.; Rahimi E.; Choobchian P.; Mohammadian A.K.; Auld J.Eliciting Attitudinal Factors Affecting The Continuance Use Of E-Scooters: An Empirical Study In ChicagoTransportation Research Part F: Traffic Psychology and Behaviour, 87 (2022)
43652 View0.878Mehmood A.; Tahir A.; Atif S.; Hussain E.; Arshad H.S.H.; Baig F.Public Adoption Of Smart Transportation: A Technology Acceptance ModelJournal of Urban Planning and Development, 151, 3 (2025)
42731 View0.868Gantulga U.; Sampil B.; Tugsbat A.Predicting Rfid Adoption Towards Urban Smart Mobility In Ulaanbaatar, MongoliaAsia Marketing Journal, 24, 1 (2022)
27344 View0.867Costa V.; Delponte I.From Words To Deeds: When Digital App Acceptance Turns Into Sustainable Mobility Behaviours. Methodologies And Insights From Maas ExperiencesUrban, Planning and Transport Research, 13, 1 (2025)
26056 View0.861Duga P.A.; Loja J.B.; Buna L.V.J.L.; Matias J.B.; Raz M.R.O.; Hernandez A.A.; Plender-Nabas J.L.Factors Influencing Travelers And Motorists Acceptance Of Intelligent Transportation Applications: A Sem-Ann ApproachICBIR 2024 - 2024 9th International Conference on Business and Industrial Research, Proceedings (2024)
32065 View0.859Vătămănescu E.-M.; Nicolescu L.; Gazzola P.; Amelio S.Integrating Smart Mobility And Electric Car Sharing Adoption In A Common Framework: Antecedents And MediatorsJournal of Cleaner Production, 418 (2023)
3931 View0.858Dico B.L.; Cechella F.S.; Salem M.; Wagner R.A Quantitative Analysis Of The Factors Affecting Citizens’ Intention To Adopt Smart Mobility ServicesThe Palgrave Handbook of Sustainable Digitalization for Business, Industry, and Society (2024)
37273 View0.855Kolasińska-Morawska K.; Brzozowska M.; Morawski P.Mobile Digital Technologies As An Integrator Of The Logistics Of Transport Services In A Smart CityEngineering Management in Production and Services, 16, 4 (2024)
23089 View0.854Gajdzik B.; Awdziej M.; Jaciow M.; Lipowska I.; Lipowski M.; Szojda G.; Tkaczyk J.; Wolniak R.; Wolny R.; Grebski W.W.Encouraging Residents To Save Energy By Using Smart Transportation: Incorporating The Propensity To Save Energy Into The Utaut ModelEnergies, 17, 21 (2024)