Sustainability of Public Transportation: An Examination of User Behavior to Real-Time GPS Tracking Application
Abstract
:1. Introduction
2. Literature Review
2.1. Accessibility
2.2. Reliability
2.3. Comfort
2.4. Safety and Security
2.5. Customer Satisfaction
2.6. Customer Loyalty
2.7. Hypothesis Development
3. Methodology
4. Findings
4.1. Effect on Accessibility
4.2. Effect on Reliability
4.3. Effect on Comfort
4.4. Effect on Safety and Security
4.5. Effect on Customer Satisfaction
4.6. Effect on Customer Loyalty
4.7. Significant Analysis (t-Test)
5. Discussion
6. Conclusions
6.1. Theoretical and Practical Implication
6.2. Limitations of the Study and Recommendations for Future Research
Author Contributions
Funding
Conflicts of Interest
Appendix A
No | Dimension Factors |
---|---|
Accessibility | |
ACE_1 | It’s easy to find bus stop or station. |
ACE_2 | Walking distance to bus stop or station is reasonable. |
ACE_3 | The bus densely spreads over the Kuching city. |
ACE_4 | The adequate bus service means that there are no hard-to reach areas within Kuching city. |
ACE_5 | The bus allows you to easily reach anywhere you need to go. |
Reliability | |
R_6 | The bus you use is usually on time. |
R_7 | The waiting time for the arrival of the bus is short. |
R_8 | The bus you use leaves at the time according to the schedule. |
R_9 | The bus you use gets you to your destinations on schedule. |
R_10 | The bus you use is not overly crowded. |
Comfort | |
C_11 | Bus stop or station is well maintained. |
C_12 | Clean environment on the bus. |
C_13 | Comfortable temperature on the bus. |
C_14 | Seats are available when riding. |
C_15 | The equipment in the bus satisfies passengers’ needs. |
Safety/Security | |
SCT_16 | Bus company provides safe and modern buses. |
SCT_17 | The bus is equipped with safety facilities. |
SCT_18 | The company handles emergency situation properly. |
SCT_19 | You feel safe while taking trips via the bus. |
SCT_20 | You feel safe from crime where you get on and off the bus. |
Customer Satisfaction | |
CSAT_21 | The schedule and routes satisfy customers’ needs. |
CSAT_22 | Customers are served well. |
CSAT_23 | The service is better than expected. |
CSAT_24 | I felt enjoyable to travel by this company’s bus. |
Customer Loyalty | |
CL_25 | You would probably ride the same bus again. |
CL_26 | You would probably ride the same bus with the same costs. |
CL_27 | It would be a hassle for you to get information about other bus companies. |
CL_28 | You would like to travel by this bus company again. |
CL_29 | You would like to recommend this bus company to others. |
References
- Aziz, A.; Mohamad, J. Public Transport Planning: Local Bus Service Integration and Improvements in Penang, Malaysia. Plan. Malays. J. 2020, 18, 179–189. [Google Scholar] [CrossRef]
- Domènech, A.; Gutiérrez, A. A GIS-Based Evaluation of the Effectiveness and Spatial Coverage of Public Transport Networks in Tourist Destinations. ISPRS Int. J. Geo-Inf. 2017, 6, 83. [Google Scholar] [CrossRef] [Green Version]
- Le-Klähn, D.-T.; Hall, C.M. Tourist use of public transport at destinations–A review. Curr. Issues Tour. 2015, 18, 785–803. [Google Scholar] [CrossRef]
- Chowdhury, S.; Hadas, Y.; Gonzalez, V.A.; Schot, B. Public transport users’ and policy makers’ perceptions of integrated public transport systems. Transp. Policy 2018, 61, 75–83. [Google Scholar] [CrossRef]
- Bonera, M.; Maternini, G.; Parkhurst, G.; Paddeu, D.; Clayton, W.; Vetturi, D. Travel experience on board urban buses: A comparison between Bristol and Brescia. Eur. Transp. Trasp. Eur. 2020, 76, 1–12. Available online: http://www.istiee.unict.it/sites/default/files/files/1_4_ET_39.pdf (accessed on 14 October 2020).
- Sánchez-Atondo, A.; García, L.; Calderón-Ramírez, J.; Gutiérrez-Moreno, J.M.; Mungaray-Moctezuma, A. Understanding Public Transport Ridership in Developing Countries to Promote Sustainable Urban Mobility: A Case Study of Mexicali, Mexico. Sustainability 2020, 12, 3266. [Google Scholar] [CrossRef] [Green Version]
- Schütze, C.; Schmidt, N.; Liimatainen, H.; Siefer, T. How to Achieve a Continuous Increase in Public Transport Ridership?—A Case Study of Braunschweig and Tampere. Sustainability 2020, 12, 8063. [Google Scholar] [CrossRef]
- Liu, Y.; Wang, S.; Xie, B. Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia. Transp. Policy 2019, 76, 78–89. [Google Scholar] [CrossRef]
- Coutinho, F.M.; Van Oort, N.; Christoforou, Z.; Alonso-González, M.J.; Cats, O.; Hoogendoorn, S. Impacts of replacing a fixed public transport line by a demand responsive transport system: Case study of a rural area in Amsterdam. Res. Transp. Econ. 2020, 83, 100910. [Google Scholar] [CrossRef]
- Brohi, S.N.; Pillai, T.R.; Asirvatham, D.; Ludlow, D.; Bushell, J. Towards Smart Cities Development: A Study of Public Transport System and Traffic-related Air Pollutants in Malaysia. IOP Conf. Ser. Earth Environ. Sci. 2018, 167, 012015. [Google Scholar] [CrossRef]
- Annuar, A. Why is Public Transport Ridership at Measly 20 Pc? Putrajaya Mulls Study; Malay Mail: Kuala Lumpur, Malaysia, 2018; p. 1. [Google Scholar]
- Azmi, E.A.; Nusa, F.N.M.; Rahmat, A.K. Service attributes influencing declining ridership of public rail operation based on passenger experience survey in Klang Valley. Aip Conf. Proc. 2018, 2020, 020026. [Google Scholar] [CrossRef]
- Mazlan, N.A. Towards Sustainable Public Transportation System: Accessibility and Service Quality of Public Buses in Kuching City, Sarawak; Universiti Malaysia Sarawak: Kota Samarahan, Malaysia, 2019. [Google Scholar]
- Augustin, R. Transport Expert Hails Sarawak’s Shift from LRT to ART; Free Malaysia Today: Petaling Jaya, Malaysia, 8 July 2020; p. 1. [Google Scholar]
- Van Lierop, D.; Badami, M.G.; El-Geneidy, A.M. What influences satisfaction and loyalty in public transport? A review of the literature. Transp. Rev. 2018, 38, 52–72. [Google Scholar] [CrossRef]
- Rachmawati, I.; Jauhari, I.; Mohaidin, Z. The Influence of User Experience Toward Customer Loyalty through Customer Based Brand Equity in Service Provider Gsm in Indonesia Indira. In Proceedings of the 5th International Seminar and Conference on Learing Organization (ISCLO), Bandung, Indonesia, 6 September 2017; pp. 13–26. [Google Scholar]
- Nyadzayo, M.W.; Khajehzadeh, S. The antecedents of customer loyalty: A moderated mediation model of customer relationship management quality and brand image. J. Retail. Consum. Serv. 2016, 30, 262–270. [Google Scholar] [CrossRef]
- Rajesh, R. Impact of Tourist Perceptions, Destination Image and Tourist Satisfaction on Destination Loyalty: A Conceptual Model. Pasos. Rev. Tur. Patrim. Cult. 2013, 11, 67–78. [Google Scholar] [CrossRef]
- Kasiri, L.A.; Cheng, K.T.G.; Sambasivan, M.; Sidin, S.M. Integration of standardization and customization: Impact on service quality, customer satisfaction, and loyalty. J. Retail. Consum. Serv. 2017, 35, 91–97. [Google Scholar] [CrossRef]
- Irtema, H.I.M.; Ismail, A.; Borhan, M.N.; Das, A.M.; Alshetwi, A.B. Case study of the behavioural intentions of public transportation passengers in Kuala Lumpur. Case Stud. Transp. Policy 2018, 6, 462–474. [Google Scholar] [CrossRef]
- Vich, G.; Delclòs-Alió, X.; Soria, J.A.; Marquet, O.; Miralles-Guasch, C. Distance Decay Effects on Public Transportation Ridership in the Context of A Metropolitan University Campus: Evidence from the Autonomous University of Barcelona. Geogr. Rev. 2020, 1–20. [Google Scholar] [CrossRef]
- McLean, G.; Al-Nabhani, K.; Wilson, A. Developing a Mobile Applications Customer Experience Model (MACE)- Implications for Retailers. J. Bus. Res. 2018, 85, 325–336. [Google Scholar] [CrossRef] [Green Version]
- Belanche, D.; Flavián, M.; Pérez-Rueda, A. Mobile Apps Use and WOM in the Food Delivery Sector: The Role of Planned Behavior, Perceived Security and Customer Lifestyle Compatibility. Sustainability 2020, 12, 4275. [Google Scholar] [CrossRef]
- Melero, I.; Sese, F.J.; Verhoef, P.C. Recasting the Customer Experience in Today’s Omni-channel Environment. Universia Bus. Rev. 2016, 50, 18–37. [Google Scholar] [CrossRef]
- Brakewood, C.; Watkins, K. A literature review of the passenger benefits of real-time transit information. Transp. Rev. 2018, 39, 327–356. [Google Scholar] [CrossRef]
- Katrin, K.D.; Vermeulen, H.A. Psychological Effects of and Design Preferences for Real-Time Information Displays. J. Public Transp. 2006, 9, 1–19. [Google Scholar] [CrossRef]
- Brakewood, C.; Barbeau, S.J.; Watkins, K. An experiment evaluating the impacts of real-time transit information on bus riders in Tampa, Florida. Transp. Res. Part A Policy Pract. 2014, 69, 409–422. [Google Scholar] [CrossRef]
- Ha, S.W.; Kim, J. Designing a Scalable, Accessible, and Effective Mobile App Based Solution for Common Mental Health Problems. Int. J. Hum. Comput. Interact. 2020, 36, 1354–1367. [Google Scholar] [CrossRef]
- Dell’Olio, L.; Ibeas, A.; Cecin, P. The quality of service desired by public transport users. Transp. Policy 2011, 18, 217–227. [Google Scholar] [CrossRef]
- Daniels, R.; Mulley, C. Explaining walking distance to public transport: The dominance of public transport supply. J. Transp. Land Use 2013, 6, 5–20. [Google Scholar] [CrossRef]
- Chaloux, N.; Boisjoly, G.; Grisé, E.; Elgeneidy, A.M.; Levinson, D.M. I only get some satisfaction: Introducing satisfaction into measures of accessibility. Transp. Res. Part F Traffic Psychol. Behav. 2019, 62, 833–843. [Google Scholar] [CrossRef]
- Guzman, L.A.; Oviedo, D. Accessibility, affordability and equity: Assessing ‘pro-poor’ public transport subsidies in Bogotá. Transp. Policy 2018, 68, 37–51. [Google Scholar] [CrossRef]
- Luo, D.; Cats, O.; Van Lint, H.; Currie, G. Integrating network science and public transport accessibility analysis for comparative assessment. J. Transp. Geogr. 2019, 80, 102505. [Google Scholar] [CrossRef] [Green Version]
- Song, Z.; Cao, M.; Han, T.; Hickman, R. Public transport accessibility and housing value uplift: Evidence from the Docklands light railway in London. Case Stud. Transp. Policy 2019, 7, 607–616. [Google Scholar] [CrossRef]
- Tahmasbi, B.; Haghshenas, H. Public transport accessibility measure based on weighted door to door travel time. Comput. Environ. Urban Syst. 2019, 76, 163–177. [Google Scholar] [CrossRef]
- Saif, M.A.; Zefreh, M.M.; Adam, T. Public Transport Accessibility: A Literature Review. Period. Polytech. Transp. Eng. 2018, 47, 36–43. [Google Scholar] [CrossRef] [Green Version]
- Virkar, A.R.; Prita, D.M. A Review of Dimensions of Tourism Transport affecting Tourist Satisfaction. Indian J. Commer. Manag. Stud. 2018, 9, 72. [Google Scholar] [CrossRef]
- Woldeamanuel, M.G.; Cyganski, R. Factors Affecting Travellers’ Satisfaction with Accessibility to Public Transportation. In Proceedings of the European Transport Conference, Glasgow, UK, 10–12 October 2011; pp. 1–19. [Google Scholar]
- Chin, C.-H.; Law, F.; Lo, M.-C.; Ramayah, T. The Impact of Accessibility Quality and Accommodation Quality o n Tourists’ Satisfaction and Revisit Intention to Rural Tourism Destination in Sarawak: The Moderating Role of Local Communities’ Attitude. Glob. Bus. Manag. Res. Int. J. 2018, 10, 115–127. [Google Scholar]
- Outwater, M.L.; Spitz, G.; Lobb, J.; Campbell, M.; Pendyala, R.; Sana, B.; Woodford, W. “Tcrp H-37 Characteristics of Premium Transit Services that Affect Mode Choice: Summary of Phase 1”, United States, 2010. Available online: https://rosap.ntl.bts.gov/view/dot/34320 (accessed on 16 November 2020).
- Carrel, A.; Halvorsen, A.; Walker, J.L. Passengers’ Perception of and Behavioral Adaptation to Unreliability in Public Transportation. Transp. Res. Rec. J. Transp. Res. Board 2013, 2351, 153–162. [Google Scholar] [CrossRef] [Green Version]
- Nesheli, M.M.; Ceder, A. Improved reliability of public transportation using real-time transfer synchronization. Transp. Res. Part C Emerg. Technol. 2015, 60, 525–539. [Google Scholar] [CrossRef]
- Jenelius, E. Public transport experienced service reliability: Integrating travel time and travel conditions. Transp. Res. Part A Policy Pract. 2018, 117, 275–291. [Google Scholar] [CrossRef] [Green Version]
- Ho, C.Q.; Hensher, D.A.; Wang, S. Joint estimation of mode and time of day choice accounting for arrival time flexibility, travel time reliability and crowding on public transport. J. Transp. Geogr. 2020, 87, 102793. [Google Scholar] [CrossRef]
- Duan, L.; Tavasszy, L.; Rezaei, J. Freight service network design with heterogeneous preferences for transport time and reliability. Transp. Res. Part E Logist. Transp. Rev. 2019, 124, 1–12. [Google Scholar] [CrossRef]
- Chepuri, A.; Joshi, S.; Arkatkar, S.; Joshi, G.; Bhaskar, A. Development of new reliability measure for bus routes using trajectory data. Transp. Lett. 2019, 12, 363–374. [Google Scholar] [CrossRef]
- Barabino, B.; Cabras, N.A.; Conversano, C.; Olivo, A. An Integrated Approach to Select Key Quality Indicators in Transit Services. Soc. Indic. Res. 2020, 149, 1045–1080. [Google Scholar] [CrossRef]
- Tyrinopoulos, Y.; Antoniou, C. Public transit user satisfaction: Variability and policy implications. Transp. Policy 2008, 15, 260–272. [Google Scholar] [CrossRef]
- Hussain, B.; Torok, A. Designing the Appropriate Data Collection Method for Public Transport Passenger Satisfaction Analysis. Int. J. Traffic Transp. Eng. 2018, 8, 177–183. [Google Scholar] [CrossRef]
- Cantwell, M.M.; College, T.; Dublin, I.; Caulfield, B.; O’Mahony, M. Examining the Factors that Impact Public Transport Commuting Satisfaction. J. Public Transp. 2009, 12, 1–21. [Google Scholar] [CrossRef] [Green Version]
- Soza-Parra, J.; Raveau, S.; Muñoz, J.C.; Cats, O. The underlying effect of public transport reliability on users’ satisfaction. Transp. Res. Part A Policy Pract. 2019, 126, 83–93. [Google Scholar] [CrossRef] [Green Version]
- Christopher, A. A Comfort Index for Public Transportation Riders; Concordia University: Montréal, QC, Canada, 2016. [Google Scholar]
- Mugion, R.G.; Toni, M.; Raharjo, H.H.; Di Pietro, L.; Sebathu, S.P. Does the service quality of urban public transport enhance sustainable mobility? J. Clean. Prod. 2018, 174, 1566–1587. [Google Scholar] [CrossRef]
- Eboli, L.; Mazzulla, G.; Pungillo, G. Measuring Bus Comfort Levels by using Acceleration Instantaneous Values. Transp. Res. Procedia 2016, 18, 27–34. [Google Scholar] [CrossRef]
- Kouwenhoven, M.; De Jong, G. Value of travel time as a function of comfort. J. Choice Model. 2018, 28, 97–107. [Google Scholar] [CrossRef]
- Hansson, J.; Pettersson, F.; Svensson, H.; Wretstrand, A. Preferences in regional public transport: A literature review. Eur. Transp. Res. Rev. 2019, 11, 38. [Google Scholar] [CrossRef]
- Więcek, P.; Kubek, D.; Aleksandrowicz, J.H.; Stróżek, A. Framework for Onboard Bus Comfort Level Predictions Using the Markov Chain Concept. Symmetry 2019, 11, 755. [Google Scholar] [CrossRef] [Green Version]
- Tsiotsou, R.H.; Wirtz, J. Consumer Behavior in a Service Context. In Handbook of Developments in Consumer Behaviour; Wells, V., Foxall, G., Eds.; Edward Elgar: Cheltenham, UK, 2014; pp. 147–201. [Google Scholar]
- Allen, J.; Muñoz, J.C.; Ortúzar, J.D.D. Understanding public transport satisfaction: Using Maslow’s hierarchy of (transit) needs. Transp. Policy 2019, 81, 75–94. [Google Scholar] [CrossRef]
- Barabino, B.; Coni, M.; Olivo, A.; Pungillo, G.; Rassu, N. Standing Passenger Comfort: A New Scale for Evaluating the Real-Time Driving Style of Bus Transit Services. IEEE Trans. Intell. Transp. Syst. 2019, 20, 4665–4678. [Google Scholar] [CrossRef]
- Ingvardson, J.B.; Ingvardson, J.B. The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling. Transp. Res. Part A Policy Pract. 2019, 126, 37–57. [Google Scholar] [CrossRef]
- Ibrahim, A.N.H.; Borhan, M.N.; Yusoff, N.I.M.; Ismail, A. Rail-based Public Transport Service Quality and User Satisfaction—A Literature Review. Promet Traffic Transp. 2020, 32, 423–435. [Google Scholar] [CrossRef]
- Lois, D.; Monzón, A.; Hernández, S. Analysis of satisfaction factors at urban transport interchanges: Measuring travellers’ attitudes to information, security and waiting. Transp. Policy 2018, 67, 49–56. [Google Scholar] [CrossRef]
- Todd, T.L. Victoria Transport Policy Institute A New Transit Safety Narrative. J. Public Transp. 2014, 17, 114–135. [Google Scholar] [CrossRef]
- Imam, R. Measuring Public Transport Satisfaction from User Surveys. Int. J. Bus. Manag. 2014, 9, 106. [Google Scholar] [CrossRef] [Green Version]
- Sham, R.; Wahab, S.N.; Anuar, M.M.; Hong, T.W.; Tan, Y.J. Safety Indicator for Taxi Users in Urban Area. Int. J. Supply Chain Manag. 2019, 8, 1035–1041. [Google Scholar]
- Rundmo, T.; Nordfjærn, T. Judgement of Transport Security, Risk Sensitivity and Travel Mode Use in Urban Areas. Sustainability 2019, 11, 1908. [Google Scholar] [CrossRef] [Green Version]
- Geetika, S.N. Determinants of Customer Satisfaction on Service Quality: A Study of Railway Platforms in India. J. Public Transp. 2010, 13, 97–113. [Google Scholar] [CrossRef] [Green Version]
- Agarwal, R. Public Transportation and Customer Satisfaction. Glob. Bus. Rev. 2008, 9, 257–272. [Google Scholar] [CrossRef]
- Ha, S.T.; Ibrahim, W.H.W.; Lo, M.c.; Mah, D.Y.S. Factors Affecting Satisfaction and Loyalty in Public Transport using Partial Least Squares Structural Equation Modeling (PLS-SEM). Int. J. Innov. Technol. Explor. Eng. 2019, 8, 569–575. [Google Scholar] [CrossRef]
- Amin, M. Internet banking service quality and its implication on e-customer satisfaction and e-customer loyalty. Int. J. Bank Mark. 2016, 34, 280–306. [Google Scholar] [CrossRef]
- Kamaruddin, R.; Osman, I.; Pei, C.A.C. Customer Expectations and its Relationship Towards Public Transport in Klang Valley. J. Asian Behav. Stud. 2017, 2, 29. [Google Scholar] [CrossRef]
- Zhang, C.; Liu, Y.; Lu, W.; Xiao, G. Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service. Transp. Res. Part A Policy Pract. 2019, 120, 149–164. [Google Scholar] [CrossRef]
- Börjesson, M.; Rubensson, I. Satisfaction with crowding and other attributes in public transport. Transp. Policy 2019, 79, 213–222. [Google Scholar] [CrossRef]
- Nguyen, X.P. The Bus Transportation Issue and People Satisfaction with Public Transport in Ho Chi Minh City. J. Mech. Eng. Res. Dev. 2019, 42, 10–16. [Google Scholar] [CrossRef]
- Cordera, R.; Nogués, S.; González-González, E.; Dell’Olio, L. Intra-Urban Spatial Disparities in User Satisfaction with Public Transport Services. Sustainability 2019, 11, 5829. [Google Scholar] [CrossRef] [Green Version]
- Fu, X.-M.; Zhang, J.-H.; Chan, F.T. Determinants of loyalty to public transit: A model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory. Transp. Res. Part A Policy Pract. 2018, 113, 476–490. [Google Scholar] [CrossRef]
- Deveci, M.; Öner, S.C.; Canıtez, F.; Oner, M. Evaluation of service quality in public bus transportation using interval-valued intuitionistic fuzzy QFD methodology. Res. Transp. Bus. Manag. 2019, 33, 100387. [Google Scholar] [CrossRef]
- Cazacu, C.; Furdui, A. It Solution for the Public Transport. In Proceedings of the Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor, Chișinău, Moldova, 1–3 April 2020; pp. 1–3. [Google Scholar]
- Pratiwi, P.U.D.; Landra, N.; Kusuma, G.A.T. The Construction of Public Transport Service Model to Influence the Loyalty of Customer. Sci. Res. J. 2018, VI, 56–63. [Google Scholar]
- Briliana, V.; Adkatin, A.B. Identifying antecedents of loyalty to public transportation: A case study of the online taxi motorbike service GrabBike. In Business Innovation and Development in Emerging Economies; Informa UK Limited: London, UK, 2019; pp. 412–422. [Google Scholar]
- Mora, H.; Iglesias, V.G.; Pérez-Delhoyo, R.; Andújar-Montoya, M.D. A Comprehensive System for Monitoring Urban Accessibility in Smart Cities. Sensors 2017, 17, 1834. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Xiao, P. Real-time Tracking System for Freshness of Cold Chain Logistics based on IoT and GPS Platforms. In Proceedings of the 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 15–17 July 2020; pp. 834–837. [Google Scholar] [CrossRef]
- Gillis, D.; Gautama, S.; Van Gheluwe, C.; Semanjski, I.; Lopez, A.J.; Lauwers, D. Measuring Delays for Bicycles at Signalized Intersections Using Smartphone GPS Tracking Data. ISPRS Int. J. Geo-Inf. 2020, 9, 174. [Google Scholar] [CrossRef] [Green Version]
- Lomte, S.S.; Almaqashi, S.A. GPS and CCTV Based Security Monitoring System for the Security of School GPS and CCTV Based Security Monitoring System for the Security of School Children. Int. E-Res. J. 2019, 163, 82–88. [Google Scholar]
- Akter, S.; Islam, T.; Olanrewaju, R.F.; Binyamin, A.A. A Cloud-Based Bus Tracking System Based on Internet-of-Things Technology. In Proceedings of the 2019 7th International Conference on Mechatronics Engineering (ICOM), Putrajaya, Malaysia, 30–31 October 2019; Institute of Electrical and Electronics Engineers (IEEE): Piscataway, NJ, USA, 2019; pp. 1–5. [Google Scholar]
- Sutar, S.; Koul, R.; Suryavanshi, R. Integration of smart phone and IOT for development of smart public transportation system. In Proceedings of the 2016 International Conference on Internet of Things and Applications (IOTA), Pune, India, 22–24 January 2016; pp. 73–78. [Google Scholar] [CrossRef]
- Yue, W.S.; Chye, K.K.; Hoy, C.W. Towards smart mobility in urban spaces: Bus tracking and information application. In Proceedings of the 2nd International Conference On Applied Science And Technology 2017 (Icast’17), Kedah, Malaysia, 3–5 April 2017; Volume 1891, p. 20145. [Google Scholar] [CrossRef] [Green Version]
- Nelloh, L.A.M.N.; Handayani, S.; Slamet, M.W.; Santoso, A.S. Travel Experience on Travel Satisfaction and Loyalty of BRT Public Transportation. Asian J. Technol. Manag. 2019, 12, 15–30. [Google Scholar] [CrossRef]
- Minser, J.; Webb, V. Quantifying the Benefits: Application of Customer Loyalty Modeling in Public Transportation Context. Transp. Res. Rec. J. Transp. Res. Board 2010, 2144, 111–120. [Google Scholar] [CrossRef]
- Wu, J.; Yang, M.M.; Rasouli, S.S.; Xu, C.C. Eindhoven University of Technology Exploring Passenger Assessments of Bus Service Quality Using Bayesian Networks. J. Public Transp. 2016, 19, 36–54. [Google Scholar] [CrossRef]
- Hu, K.-C. Evaluating City Bus Service Based on Zone of Tolerance of Expectation and Normalized Importance. Transp. Rev. 2010, 30, 195–217. [Google Scholar] [CrossRef]
- Jen, W.; Tu, R.; Lu, T. Managing passenger behavioral intention: An integrated framework for service quality, satisfaction, perceived value, and switching barriers. Transportation 2011, 38, 321–342. [Google Scholar] [CrossRef]
- Jen, W. Application of perceived value model to identify factors affecting passengers’ repurchase intentions on city bus: A case of the Taipei metropolitan area. Transportation 2003, 30, 307–327. [Google Scholar] [CrossRef]
- Iseki, H.H.; Taylor, B. Style versus Service? An Analysis of User Perceptions of Transit Stops and Stations. J. Public Transp. 2010, 13, 23–48. [Google Scholar] [CrossRef]
- Wang, S.-M.; Feng, C.-M.; Hsieh, C.-H. Stakeholder perspective on urban transport system service quality. Total. Qual. Manag. Bus. Excel. 2010, 21, 1103–1119. [Google Scholar] [CrossRef]
- Bąk, M.; Borkowski, P. Young Transport Users’ Perception of ICT Solutions Change. Soc. Sci. 2019, 8, 222. [Google Scholar] [CrossRef] [Green Version]
- Romero, C.; Monzón, A.; Alonso, A.; Julio, R. Added value of a customized transit app for metropolitan bus trips. Transp. Res. Procedia 2020, 47, 513–520. [Google Scholar] [CrossRef]
- Wu, Z.; Wang, W.; Hua, X. Improving Bus Operation Reliability Using Real-Time Tactics. In 2018 3rd International Conference on Smart City and Systems Engineering (ICSCSE); IEEE: Piscataway, NJ, USA, 2018; pp. 679–682. [Google Scholar] [CrossRef]
- Nur, M.A.H.; Hadiyoso, S.; Belladina, F.B.; Ramadan, D.N.; Wijayanto, I. Tracking, Arrival Time Estimator, and Passenger Information System on Bus Rapid Transit (BRT). In Proceedings of the 2020 8th International Conference on Information and Communication Technology (ICoICT), Yogyakarta, Indonesia, 4–5 August 2021; Institute of Electrical and Electronics Engineers (IEEE): Piscataway, NJ, USA, 2020; pp. 1–4. [Google Scholar]
- Kellermann, R. The Final Countdown: Ambiguities of Real Time Information Systems ’Directing’ the Waiting Experience in Public ‘Directing’ the Waiting Experience in Public Transport; Routledge: New York, NY, USA, 2017. [Google Scholar]
- Panchal, S.K.; Patel, N.G.; Shah, A.T. School Bus Tracking Application. J. Res. 2019, 4, 21–23. [Google Scholar]
- Too, W.G.; Thong, C.L.; Chit, S.M.; Chaw, L.Y.; Lee, C.Y. Features of Mobile Tracking Apps: A Review of Literature and Analysis of Current Apps Compared Against Travel Agency Requirements. In Proceedings of the Public-Key Cryptography—PKC 2018; Springer Science and Business Media LLC: New York, NY, USA, 2020; pp. 107–120. [Google Scholar]
- Ku, E.C.S. Spreading distinctive insignia benefits from mobile service: Evidence from a mobile application of transportation. Transp. Plan. Technol. 2020, 43, 651–669. [Google Scholar] [CrossRef]
- Pratiwi, M.N.; Setiadi, R.; Siswantining, T. Analysis of satisfaction and loyalty level of online taxi bike customer. J. Phys. Conf. Ser. 2020, 1442, 012029. [Google Scholar] [CrossRef]
- Vicente, P.; Sampaio, A.; Reis, E. Factors influencing passenger loyalty towards public transport services: Does public transport providers’ commitment to environmental sustainability matter? Case Stud. Transp. Policy 2020, 8, 627–638. [Google Scholar] [CrossRef]
- Losada-Rojas, L.L.; Gkartzonikas, C.; Pyrialakou, V.D.; Gkritza, K. Exploring intercity passengers’ attitudes and loyalty to intercity passenger rail: Evidence from an on-board survey. Transp. Policy 2019, 73, 71–83. [Google Scholar] [CrossRef]
- Carrel, A.L.; Li, M. Survey-based measurement of transit customer loyalty: Evaluation of measures and systematic biases. Travel Behav. Soc. 2019, 15, 102–112. [Google Scholar] [CrossRef]
Before | After | After—Before | |||||
---|---|---|---|---|---|---|---|
Before >> After | Mean | Std. Deviation | Mean | Std. Deviation | Difference (Mean) | t-Stat | p-Value |
Accessibility | 3.95 | 0.92 | 4.60 | 1.53 | 0.65 | 4.33 | p < 0.01 |
Reliability | 3.81 | 1.08 | 4.44 | 1.60 | 0.63 | 3.67 | p < 0.01 |
Comfort | 4.46 | 0.88 | 4.81 | 1.25 | 0.35 | 2.62 | p < 0.01 |
Safety & Security | 4.36 | 0.89 | 4.92 | 1.23 | 0.56 | 4.17 | p < 0.01 |
Satisfaction | 4.36 | 0.89 | 5.11 | 1.23 | 0.75 | 5.76 | p < 0.01 |
Loyalty | 4.55 | 0.84 | 5.11 | 1.17 | 0.56 | 4.14 | p < 0.01 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Chan, W.C.; Wan Ibrahim, W.H.; Lo, M.C.; Suaidi, M.K.; Ha, S.T. Sustainability of Public Transportation: An Examination of User Behavior to Real-Time GPS Tracking Application. Sustainability 2020, 12, 9541. https://doi.org/10.3390/su12229541
Chan WC, Wan Ibrahim WH, Lo MC, Suaidi MK, Ha ST. Sustainability of Public Transportation: An Examination of User Behavior to Real-Time GPS Tracking Application. Sustainability. 2020; 12(22):9541. https://doi.org/10.3390/su12229541
Chicago/Turabian StyleChan, Wei Chiang, Wan Hashim Wan Ibrahim, May Chiun Lo, Mohamad Kadim Suaidi, and Shiaw Tong Ha. 2020. "Sustainability of Public Transportation: An Examination of User Behavior to Real-Time GPS Tracking Application" Sustainability 12, no. 22: 9541. https://doi.org/10.3390/su12229541
APA StyleChan, W. C., Wan Ibrahim, W. H., Lo, M. C., Suaidi, M. K., & Ha, S. T. (2020). Sustainability of Public Transportation: An Examination of User Behavior to Real-Time GPS Tracking Application. Sustainability, 12(22), 9541. https://doi.org/10.3390/su12229541