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Transportation

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01.03.2016

Public transport service-quality elements based on real-time operational tactics

verfasst von: Mahmood Mahmoodi Nesheli, Avishai (Avi) Ceder, Robin Brissaud

Erschienen in: Transportation | Ausgabe 5/2017

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Abstract

Public transport (PT) real-time control actions, such as daily implementation of operational tactics, play a vital role in service reliability because of allowing for improvement of the quality of service perceived by passengers. Applying appropriate tactics leads to increased service reliability, reduced passenger waiting time, prevention of missed transfers and curtail passenger frustrations. To date, various studies have investigated the efficiency of using real time tactics and its effects on PT system performance. Yet, passenger perception related to various operational tactics remains one of the most poorly understood aspects of PT operations. The purpose of this study is to cultivate an understanding of what constitutes PT service quality (SQ) at the operational level, using real time operational tactics based on user-centric performance measures. SQ as a measure of serviceability in a PT system has been evaluated in relation to four definitive factors: performance, information, operational tactics, and travel time. A conjoint analysis combined with cluster analysis is developed to capture the most important factors in evaluating the SQ process. Two case studies, each from a different country, have been selected. One is at a major terminal in Auckland, New Zealand, and the other in Lyon, France. The findings show which attributes are important in assessing SQ and how they vary in importance in different case studies.

Vorheriger Artikel The built environment determinants of activity participation and walking near the workplace

Nächster Artikel Mode-valued differences of in-vehicle travel time Savings

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Abkowitz, M., Slavin, H., Waksman, R., Engelstein, I., Wilson, N. H. M.: Transit service reliability (Report No. UMTA MA-06-0049-78-1.). U.S. Department of Transportation, Report U. T. S. Center, Washington, DC (1978)

Addelman, S.: Orthogonal main-effect plans for asymmetrical factorial experiments. Technometrics 4(1), 21–46 (1962)CrossRef

Ashnai, B., Smirnova, M., Kouchtch, S., Yu, Q., Barnes, B.R., Naudé, P.: Assessing relationship quality in four business-to-business markets. Market. Intell. Plann. 27(1), 86–102 (2009)CrossRef

Bachok, S.: What do passengers need out of public transport information systems? In: 29th Conference o f Australian Institute of Transport Research, Adelaide (2007)

Balcombe, R., Mackett, R., Paulley, N., Preston, J., Shires, J., Titheridge, H., Wardman, M., White, P.: The demand for public transport: a practical guide. TRL Report, TRL593, TRL Limited, London (2004)

Bates, J., Polak, J., Jones, P., Cook, A.: The valuation of reliability for personal travel. Transp. Res. Part E: Logist. Transport. Rev. 37, 191–229 (2001)CrossRef

Beirão, G., Sarsfield Cabral, J.A.: Understanding attitudes towards public transport and private car: a qualitative study. Transp. Policy 14(6), 478–489 (2007)CrossRef

Bélanger, F.: A conjoint analysis of online consumer satisfaction. J. Electron. Commer. Res. 6(2), 95–111 (2005)

Carrel, A., Lau, P. S. C., Mishalani, R. G., Sengupta, R., Walker, J. L.: Quantifying transit travel experiences from the users’ perspective with high-resolution smartphone and vehicle location data: Methodologies, validation, and example analyses. Transp. Res. Part C: Emerg. Technol. 58, 224–239 (2015)CrossRef

Ceder, A.: Public Transit Planning And Operation: Theory, Modelling And Practice. Elsevier, Oxford (2007)

Ceder, A.: Public Transit Planning and Operation: Modelling, Practice and Behavior. CRC Press, Boca Raton, (appeared in July 2015) (2016)

Chowdhury, S., Ceder, A., Schwalger, B.: The effects of travel time and cost savings on commuters’ decision to travel on public transport routes involving transfers. J. Transp. Geogr. 43, 151–159 (2015)CrossRef

de Oña, J., de Oña, R.: Quality of service in public transport based on customer satisfaction surveys: a review and assessment of methodological approaches. Transp. Sci. 49(3), 605–622 (2014)CrossRef

Delgado, F., Munoz, J.C., Giesen, R.: How much can holding and/or limiting boarding improve transit performance? Transp. Res. Part B: Methodol. 46(9), 1202–1217 (2012)CrossRef

dell’Olio, L., Ibeas, A., Cecín, P.: Modelling user perception of bus transit quality. Transp. Policy 17(6), 388–397 (2010)CrossRef

Dolnicar, S.: Review of data driven market segmentation in tourism. J. Travel Tourism Market. 12(1), 1–22 (2002)CrossRef

Dolnicar, S., Grün, B., Leisch, F., Schmidt, K.: Required sample sizes for data-driven market segmentation analyses in tourism. J. Travel Tourism Market. 53(3), 296–306 (2014)

Dziekan, K., Kottenhoff, K.: Dynamic at-stop real-time information displays for public transport: effects on customers. Transp. Res. Part A: Policy Pract. 41(6), 489–501 (2007)

Eberlein, X., Wilson, N. M., Bernstein, D.: Modeling real-time control strategies in public transit operations. In: N. M. Wilson (Ed.), Computer-Aided Transit Scheduling (Vol. 471, pp. 325–346). Springer, Berlin (1999)

Eboli, L., Mazzulla, G.: Service quality attributes affecting customer satisfaction for bus transit. J. Public Transp. 10(3), 21–34 (2007)CrossRef

Eboli, L., Mazzulla, G.: A methodology for evaluating transit service quality based on subjective and objective measures from the passenger’s point of view. Transp. Policy 18(1), 172–181 (2011)CrossRef

Eboli, L., Mazzulla, G.: Performance indicators for anobjective measure of public transport service quality. Eur. Transp. 51, 1–21 (2012)

Friman, M.: Implementing quality improvements in public transport. J. Public Transp. 7(4), 49–65 (2004)CrossRef

Formann, A.K.: Die latent-class-analyse: Einführung in die Theorie und Anwendung. Beltz, Weinheim (1984)

Furth, P., Muller, T.: Part 4: capacity and quality of service: service reliability and hidden waiting time: insights from automatic vehicle location data. Transp. Res. Rec. 1955(1), 79–87 (2006)CrossRef

Green, P.E., Wind, Y.: New way to measure consumers’ judgments. Harvard Bus. Rev. 53(4), 107–117 (1975)

Grönroos, C.: Service quality: the six criteria of good service quality. Rev. Business. 9, 10–13 (1988)

Grotenhuis, J.W., Wiegmans, B.W., Rietveld, P.: The desired quality of integrated multimodal travel information in public transport: customer needs for time and effort savings. Transp. Policy 14(1), 27–38 (2007)CrossRef

Habib, K.M.N., Kattan, L., Islam, M.T.: Model of personal attitudes towards transit service quality. J. Adv. Transp. 45(4), 271–285 (2011)CrossRef

Hadas, Y., Ceder, A.: Optimal coordination of public-transit vehicles using operational tactics examined by simulation. Transp. Res. Part C: Emerg. Technol. 18(6), 879–895 (2010)CrossRef

Hair, J. F., Black, W. C., Babin, B. J. Multivariate Data Analysis: A Global Perspective. Pearson Education, Upper Saddle River (2010)

Hanaoka, S., Qadir, F.M.: Passengers’ perceptions and effects of bus-holding strategy using automatic vehicle location technology. J. Adv. Transp. 43(3), 301–319 (2009)CrossRef

Hensher, D.A., Stopher, P., Bullock, P.: Service quality—developing a service quality index in the provision of commercial bus contracts. Transp. Res. Part A: Policy Pract. 37(6), 499–517 (2003)

Hickman, M.D.: An analytic stochastic model for the transit vehicle holding problem. Transp. Sci. 35(3), 215–237 (2001)CrossRef

Iseki, H., Taylor, B.D.: Style versus service? An analysis of user perceptions of transit stops and stations. J. Public Transp. 13(3), 39–63 (2010)CrossRef

Janssens, W., De Pelsmacker, P., Van Kenhove, P.: Marketing Research with SPSS. Prentice Hall/Financial Times, Essex (2008)

Kittelson & Associates, I., Parsons Brinckerhoff Quade & Douglass, I., Hunter-Zaworski, K.: TCRP Report 100: Transit Capacity and Quality of Service Manual, 2nd ed. Transportation Research Board of the National Academies, Washington, DC (2003)

König, A., Axhausen, K. W.: The reliability of the transportation system and its influence on the choice behaviour. In: Proceedings of the 2nd Swiss Transportation Research Conference. Monte Verità (2002)

Levesque, R.: SPSS programming and data management: a guide for SPSS and SAS Users, 4th edn. SPSS Inc, Chicago (2007)

Levinson, H.S.: The reliability of transit services: a historical perspective. J. Urban Technol. 12, 99–118 (2005)CrossRef

Litman, T.: Valuing transit service quality improvements. J. Public Transp. 11(2), 43–63 (2008)CrossRef

Liu, T., Ceder, A., Ma, J.H., Guan, W.: Synchronizing public transport transfers by using intervehicle communication scheme case study. Transp. Res. Rec. 2417, 78–91 (2014)CrossRef

Lyons, G., Urry, J.: Travel time use in the information age. Transp. Res Part A: Policy Pract. 39(2–3), 257–276 (2005)

Mackenzie, J.: Evaluating recreation trip attributes and travel time via conjoint analysis. J. Leis. Res. 24(2), 171–184 (1992)

Molin, E., Chorus, C.: The need for advanced public trasnport information services when making transfers. Eur. J. Transp. Infrastruct. Res. (EJTIR) 4(9), 397–410 (2009)

Murray, S.J., Walton, D., Thomas, J.A.: Attitudes towards public transport in New Zealand. Transportation 37(6), 915–929 (2010)CrossRef

Nathanail, E.: Measuring the quality of service for passengers on the hellenic railways. Transp. Res. Part A: Policy Pract. 42(1), 48–66 (2008)

Naude, P., Buttle, F.: Assessing relationship quality. Ind. Mark. Manag. 29(4), 351–361 (2000)CrossRef

Nesheli, M. M., Ceder, A., Chowdhury, S., Estines, S.: Matching public transport demand using tactic-based guideline. Presented at the Transportation Research Board 94th Annual Meeting. Washington, DC (2015)

Nesheli, M.M., Ceder, A.: Optimal combinations of selected tactics for public-transport transfer synchronization. Transp. Res. Part C: Emerg. Technol. 48, 491–504 (2014)CrossRef

Nesheli, M.M., Ceder, A.: A robust, tactic-based, real-time framework for public-transport transfer synchronization. Transp. Res. Part C: Emerg. Technol. 60, 105–123 (2015a)CrossRef

Nesheli, M.M., Ceder, A.: Improved reliability of public transportation using real-time transfer synchronization. Transp. Res. part C: Emerg. Technol. 60, 525–539 (2015b)CrossRef

Orme, B.K.: Getting Started With Conjoint Analysis: Strategies for Product Design and Pricing Research. Research Publishers LLC, Madison, WI (2010)

Parasuraman, A., Valarie, A.Z., Berry, L.L.: SERVQUAL: a Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. J. Retail. 64(1), 12–40 (1988)

Recker, W., Chung, Y., Park, J., Wang, L., Chen, A., Ji, Z., L, H., Horrocks, M., Oh, J.-S.: Considering Risk-Taking Behavior in Travel Time Reliability. Report UCB-ITS-PRR-2005-3, University of California, Berkeley (2005)

Redman, L., Friman, M., Gärling, T., Hartig, T.: Quality attributes of public transport that attract car users: a research review. Transp. Policy 25, 119–127 (2013)CrossRef

Reed, T.: Reduction in the burden of waiting for public transit due to real-time schedule information: a conjoint analysis study. In: Vehicle and Information System Conference Proceedings, Institute of Electrical and Electronics Engineers, pp. 83–89 (1995)

Wardman, M.: Public transport values of time. Transp. Policy 11(4), 363–377 (2004)CrossRef

Watkins, K. E., Xu, Y. A., Bregman, S., Coffel, K.: TCRP Report 179 (Transit Cooperative Research Program): Use of Web-Based Rider Feedback to Improve Public Transit Services. Transportation Research Board of the National Academies, Washington, DC (2015)

Titel: Public transport service-quality elements based on real-time operational tactics
verfasst von: Mahmood Mahmoodi Nesheli
Avishai (Avi) Ceder
Robin Brissaud
Publikationsdatum: 01.03.2016
Verlag: Springer US
Erschienen in: Transportation / Ausgabe 5/2017
Print ISSN: 0049-4488
Elektronische ISSN: 1572-9435
DOI: https://doi.org/10.1007/s11116-016-9688-4

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