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Sustainability 2016, 8(12), 1319; doi:10.3390/su8121319

Optimizing Bus Passenger Complaint Service through Big Data Analysis: Systematized Analysis for Improved Public Sector Management

1
Department of International Business, Feng Chia University, Taichung 40724, Taiwan
2
Ph.D. Program in Civil and Hydraulic Engineering, Feng Chia University, Taichung 40724, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editors: Tan Yigitcanlar and Marc A. Rosen
Received: 6 September 2016 / Revised: 20 November 2016 / Accepted: 8 December 2016 / Published: 14 December 2016
View Full-Text   |   Download PDF [2180 KB, uploaded 14 December 2016]   |  

Abstract

With the advances in industry and commerce, passengers have become more accepting of environmental sustainability issues; thus, more people now choose to travel by bus. Government administration constitutes an important part of bus transportation services as the government gives the right-of-way to transportation companies allowing them to provide services. When these services are of poor quality, passengers may lodge complaints. The increase in consumer awareness and developments in wireless communication technologies have made it possible for passengers to easily and immediately submit complaints about transportation companies to government institutions, which has brought drastic changes to the supply–demand chain comprised of the public sector, transportation companies, and passengers. This study proposed the use of big data analysis technology including systematized case assignment and data visualization to improve management processes in the public sector and optimize customer complaint services. Taichung City, Taiwan, was selected as the research area. There, the customer complaint management process in public sector was improved, effectively solving such issues as station-skipping, allowing the public sector to fully grasp the service level of transportation companies, improving the sustainability of bus operations, and supporting the sustainable development of the public sector–transportation company–passenger supply chain. View Full-Text
Keywords: customer complaint process improvement; customer complaint service; big data analysis customer complaint process improvement; customer complaint service; big data analysis
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MDPI and ACS Style

Liu, W.-K.; Yen, C.-C. Optimizing Bus Passenger Complaint Service through Big Data Analysis: Systematized Analysis for Improved Public Sector Management. Sustainability 2016, 8, 1319.

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