RESEARCH PAPER
Investigation of the influence of transit time on a multistate transportation network in tourism
1
Department of Distribution Management, National Chin-Yi University of Technology, Taichung 411, Taiwan
2
Department of Industrial Engineering & Management, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
3
Department of Business Administration, Asia University, Taichung 413, Taiwan
4
Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404, Taiwan
5
Department of Business Administration, Chaoyang University of Technology, Taichung 413, Taiwan
Publication date: 2021-12-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(4):670-677
HIGHLIGHTS
- Propose an algorithm to investigate how transit times affect the performance of an MTN.
- A performance indicator termed “reliability” is used as a basis for the investigation.
- The sufficient levels of transit time are determined to examine.
- Provide management suggestions about appropriate transit times to maintain reliability
KEYWORDS
ABSTRACT
Reliability has been widely used as a potential indicator of the performance assessment for several real-life networks. Focus on a multistate transportation network in tourism (MTN), this study evaluates the reliability of the MTN as a basis for investigating the influence of transit time. Reliability is the probability to fulfill transportation demand under the given time threshold and budget limitation and evaluated at various levels of transit times. An algorithm, which employs the boundary points and recursive sum of disjoint products technique, is proposed to evaluate the MTN reliability. According to the obtained results, this paper analyzes the influence of transit times on MTN reliability. Particularly, this paper discusses and provides some suggestions about the appropriate transit time to maintain reliability. Decision-makers in the tourism industry also can predetermine the significant drops of reliability to improve the relevant transit times. Besides, the proposed investigation is
indicated and proved through an illustrative example and a practical case.
REFERENCES (35)
1.
Abdullah M, Ali N, Javid MA et al. Public transport versus solo travel mode choices during the COVID-19 pandemic: Self-reported evidence from a developing country. Transportation Engineering 2021; 5: 100078, https://doi.org/10.1016/j.tren....
2.
Albalate D, Bel G. Tourism and urban public transport: Holding demand pressure under supply constraints.Tourism Management 2010; 31(3): 425-433, https://doi.org/10.1016/j.tour....
3.
Albalate D, Fageda X. High speed rail and tourism: Empirical evidence from Spain. Transportation Research Part A: Policy and Practice 2016; 85: 174-185, https://doi.org/10.1016/j.tra.....
4.
Bai G, Zuo MJ, Tian Z. Ordering Heuristics for Reliability Evaluation of Multistate Networks. IEEE Transactions on Reliability 2015; 64(3): 1015-1023, https://doi.org/10.1109/TR.201....
5.
Belobaba, Peter, Amedeo Odoni, and Cynthia BarnhartE. The global airline industry.John Wiley & Sons, Ltd: 2015.
6.
Boujelbene Y, Derbel A. The Performance Analysis of Public Transport Operators in Tunisia Using AHP Method. Procedia Computer Science 2015; 73: 498-508, https://doi.org/10.1016/j.proc....
7.
Choy KL, Sheng N, Lam HY et al. Assess the effects of different operations policies on warehousing reliability. International Journal of Production Research 2014; 52(3): 662-678, https://doi.org/10.1080/002075....
8.
Das S, Boruah A, Banerjee A et al. Impact of COVID-19: A radical modal shift from public to private transport mode. Transport Policy 2021; 109: 1-11, https://doi.org/10.1016/j.tran....
9.
Datta E, Goyal NK. Evaluation of stochastic flow networks susceptible to demand requirements between multiple sources and multiple destinations. International Journal of System Assurance Engineering and Management 2019; 10(5): 1302-1327, https://doi.org/10.1007/s13198....
10.
Habib A, Al-Seedy RO, Radwan T. Reliability evaluation of multi-state consecutive k-out-of-r-from-n: G system. Applied Mathematical Modelling 2007; 31(11): 2412-2423, https://doi.org/10.1016/j.apm.....
11.
Huang C-F. Evaluation of system reliability for a stochastic delivery-flow distribution network with inventory. Annals of Operations Research 2019; 277(1): 33-45, https://doi.org/10.1007/s10479....
13.
Jou R-C, Lam S-H, Hensher DA et al. The effect of service quality and price on international airline competition. Transportation Research Part E: Logistics and Transportation Review 2008; 44(4): 580-592, https://doi.org/10.1016/j.tre.....
14.
Karimi B, Bashiri M. Designing a Multi-commodity multimodal splittable supply chain network by logistic hubs for intelligent manufacturing. Procedia Manufacturing 2018; 17: 1058-1064, https://doi.org/10.1016/j.prom....
15.
Kim YK, Lee HR. Customer satisfaction using low cost carriers. Tourism Management 2011; 32(2): 235-243, https://doi.org/10.1016/j.tour....
16.
Kong Z, Yeh EM. Correlated and cascading node failures in random geometric networks: A percolation view. 2012 Fourth International Conference on Ubiquitous and Future Networks (ICUFN), 2012: 520-525, https://doi.org/10.1109/ICUFN.....
17.
Kos Koklic M, Kukar-Kinney M, Vegelj S. An investigation of customer satisfaction with low-cost and full-service airline companies. Journal of Business Research 2017; 80: 188-196, https://doi.org/10.1016/j.jbus....
18.
Lee M-K, Yoo S-H. Using a Choice Experiment (CE) to Value the Attributes of Cruise Tourism. Journal of Travel & Tourism Marketing 2015; 32(4): 416-427, https://doi.org/10.1080/105484....
19.
Lesko S, Aleshkin A, Zhukov D. Reliability Analysis of the Air Transportation Network when Blocking Nodes and/or Connections Based on the Methods of Percolation Theory. IOP Conference Series: Materials Science and Engineering 2020; 714: 12016, https://doi.org/10.1088/1757-8....
20.
Lin Y-K, Nguyen T-P, Yeng LC-L. Reliability evaluation of a stochastic multimodal transport network under time and budget considerations. Annals of Operations Research 2019, https://doi.org/10.1007/s10479....
21.
Liu X, Hou K, Jia H et al. The Impact-increment State Enumeration Method Based Component Level Resilience Indices of Transmission System. Energy Procedia 2019; 158: 4099-4103, https://doi.org/10.1016/j.egyp....
22.
Lunke EB. Commuters' satisfaction with public transport. Journal of Transport & Health 2020; 16: 100842, https://doi.org/10.1016/j.jth.....
23.
Maltese I, Zamparini L. Transport Modes and Tourism. International Encyclopedia of Transportation, Elsevier: 2021: 26-31, https://doi.org/10.1016/B978-0....
24.
Mattrand C, Bourinet J-M. The cross-entropy method for reliability assessment of cracked structures subjected to random Markovian loads. Reliability Engineering & System Safety 2014; 123: 171-182, https://doi.org/10.1016/j.ress....
25.
Nguyen T-P, Lin Y-K. Reliability assessment of a stochastic air transport network with late arrivals. Computers & Industrial Engineering 2021; 151: 106956, https://doi.org/10.1016/j.cie.....
26.
Niu Y-F, Xu X-Z. Reliability evaluation of multi-state systems under cost consideration. Applied Mathematical Modelling 2012; 36(9): 4261-4270, https://doi.org/10.1016/j.apm.....
27.
O'Connell JF, Williams G. Passengers' perceptions of low cost airlines and full service carriers: A case study involving Ryanair, Aer Lingus, Air Asia and Malaysia Airlines. Journal of Air Transport Management 2005; 11(4): 259-272, https://doi.org/10.1016/j.jair....
28.
Siu BWY, Lo HK. Doubly uncertain transportation network: Degradable capacity and stochastic demand. European Journal of Operational Research 2008; 191(1): 166-181, https://doi.org/10.1016/j.ejor....
29.
Wang T, Li B, Zhang G. Application of Panel Data Model to Economic Effects of High-Speed Railway. International Journal of Performability Engineering 2020; 16(7): 1130-1138, https://doi.org/10.23940/ijpe.....
30.
Virkar AR, (India)PDM. A Review of Dimensions of Tourism Transport affecting Tourist Satisfaction. Indian Journal of Commerce & Management Studies 2018; IX(1): 72, https://doi.org/10.18843/ijcms....
31.
Yeh W-C. A simple algorithm for evaluating the k-out-of-n network reliability. Reliability Engineering & System Safety 2004; 83(1): 93-101, https://doi.org/10.1016/j.ress....
32.
Yeh W-C. A new approach to evaluate reliability of multistate networks under the cost constraint. Omega 2005; 33(3): 203-209, https://doi.org/10.1016/j.omeg....
33.
Chiu Y-H, Nguyen T-P, Lin Y-K. Network Reliability of a Stochastic Online-Food Delivery System with Space and Time Constraints. International Journal of Performability Engineering;17(5): 433-443, https://doi.org/10.23940/ijpe.....
34.
ZahraeeS M, Golroudbary SR, Shiwakoti N et al. Economic and environmental assessment of biomass supply chain for design of transportation modes: strategic and tactical decisions point of view. Procedia CIRP 2021; 100: 780-785, https://doi.org/10.1016/j.proc....
35.
Zuo MJ, Tian Z, Huang H-Z. An efficient method for reliability evaluation of multistate networks given all minimal path vectors. IIE Transactions 2007; 39(8): 811-817, https://doi.org/10.1080/074081....
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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