Factors of Perceived Waiting Time and Implications on Passengers’ Satisfaction with Waiting Time

Shen, Feng; Wu, Hong; Sun, Xu; Li, Zhenning

doi:10.7307/ptt.v28i2.1726

Cited by 9 publications

(7 citation statements)

References 10 publications

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“…Psarros et al (2011) estimated that patrons traveling for work purposes overestimate their wait times by a factor of about 1.3 [10]. Feng et al (2015) showed that the trip purpose is a significant predictor of perceived wait time [11]. The findings in this study followed the conclusions of Psarros et al (2011) in that passengers traveling for work purposes overestimated their waiting time the most.…”

Section: Trip Purposesupporting

confidence: 83%

“…The anxiety of getting to work on time during the morning explained the high morning period ratio [10]. Another study conducted in China also revealed that the period of day is a significant predictor of waiting time [11].…”

Section: Period Of Daymentioning

confidence: 95%

“…Psarros et al (2011) revealed that male patrons tend to overestimate their wait times by a factor of 1.61 compared to female patrons who overestimate their wait times by a factor of 1.52 [10]. However, gender was determined not to be a significant predictor of wait time [11] [13].…”

Section: Patrons' Demographicsmentioning

confidence: 99%

See 2 more Smart Citations

Patron Survey of Acceptable Wait Times at Transit Bus Stops in the District of Columbia

Arhin¹,

Ptoe²,

Gatiba³

et al. 2019

OJCE

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The wait time of bus patrons at bus stops is one of several measures for assessing reliability of transit services, especially in urban areas. The uncertainty associated with waiting affects bus patrons' perception of quality of the service provided. Studies in this subject area have therefore been of interest to transit service agencies and officials. This paper presents the findings of a study conducted to determine patrons' maximum acceptable wait times (beyond the scheduled arrival time) at bus stops in an urban area. In all, 3387 bus patrons at 71 selected bus stops were surveyed over a period of 9 months. The results of the survey showed that the least acceptable wait time beyond the scheduled arrival time was 1 minute, while the maximum acceptable wait time was reported to be 20 minutes. Also, only one-third (33%) of the total number of patrons surveyed were willing to wait up to 5 minutes beyond the scheduled arrival time of buses. In addition, patrons are willing to wait longer in warm weather. On average, white patrons were found to have the least maximum acceptable wait times, followed by Hispanics, Asians, and then Blacks.

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Section: Trip Purposesupporting

confidence: 83%

Section: Period Of Daymentioning

confidence: 95%

See 1 more Smart Citation

Patron Survey of Acceptable Wait Times at Transit Bus Stops in the District of Columbia

Arhin¹,

Ptoe²,

Gatiba³

et al. 2019

OJCE

View full text Add to dashboard Cite

show abstract

“…9 A study showed that trip purpose is a significant predictor of perceived wait time, also finding that passengers traveling for work purposes overestimated their waiting time the most. 19…”

Section: Trip Purposementioning

confidence: 99%

Predicting Acceptable Wait Times for Patrons at Transit Bus Stops by Time of Day

Arhin¹

2019

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(Caltrans), and by private grants and donations. MTI's transportation policy work is centered on three primary responsibilities: MINETA TRANSPORTATION INSTITUTE LEAD UNIVERSITY OF Mineta Consortium for Transportation Mobility Research MTI works to provide policy-oriented research for all levels of government and the private sector to foster the development of optimum surface transportation systems. Research areas include: bicycle and pedestrian issues; financing public and private sector transportation improvements; intermodal connectivity and integration; safety and security of transportation systems; sustainability of transportation systems; transportation / land use / environment; and transportation planning and policy development. Certified Research Associates conduct the research. Certification requires an advanced degree, generally a Ph.D., a record of academic publications, and professional references. Research projects culminate in a peer-reviewed publication, available on TransWeb, the MTI website (http://transweb.sjsu.edu). Education The Institute supports education programs for students seeking a career in the development and operation of surface transportation systems. MTI, through San José State University, offers an AACSBaccredited Master of Science in Transportation Management and graduate certificates in Transportation Management, Transportation Security, and High-Speed Rail Management that serve to prepare the nation's transportation managers for the 21st century. With the active assistance of the California Department of Transportation (Caltrans), MTI delivers its classes over a state-of-the-art videoconference network throughout the state of California and via webcasting beyond, allowing working transportation professionals to pursue an advanced degree regardless of their location. To meet the needs of employers seeking a diverse workforce, MTI's education program promotes enrollment to under-represented groups. Information and Technology Transfer MTI utilizes a diverse array of dissemination methods and media to ensure research results reach those responsible for managing change. These methods include publication, seminars, workshops, websites, social media, webinars, and other technology transfer mechanisms. Additionally, MTI promotes the availability of completed research to professional organizations and journals and works to integrate the research findings into the graduate education program. MTI's extensive collection of transportation-related publications is integrated into San José State University's world-class Martin Luther King, Jr. Library. The contents of this report reflect the views of the authors, who are responsible for the facts and accuracy of the information presented herein. This document is disseminated in the interest of information exchange.

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“…In order to achieve harmonized (planned) vehicle arrival i.e. macroscopic traffic flow harmonization into ferry ports followed by instant vehicle boarding aboard ferry optimization concept encompassed in FQMS relies on the principle of providing certain group of usersentities -vehicles privilege for priority ferry boardinggrant such vehicles right for immediate ferry boarding upon their arrival into ferry port, therefore minimizing vehicle(s) waiting time as one of the most important factors on passengers' satisfaction [10].…”

Section: Introductionmentioning

confidence: 99%

Simulation of ferry que management system in Croatia

2017

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Preliminary communicationThe main purpose of this paper was to analyse and describe vehicular queues created because of waiting time needed for vehicles to be boarded on ferries during the main tourist (summer) season in the Republic of Croatia. Since optimization of such large and high scale offer and demand system, including both road traffic and ferry infrastructure, could not have been tested in real time conditions, the main idea was to conduct analysis using computer based simulation model. Additionally, optimization of the overall system inelasticity has been conducted based on implementation of the Ferry Que Management System (FQMS). Simulation output analysis indicated the FQMS implementation to be feasible for most of analysed ferry lines but at the same time, it clearly indicated that each ferry line requires individual approach for an optimal solution to be found. The simulation output analysis also provided a clear indication of optimization limitations defined by input values.Keywords: ferry; management; que; road; simulation; system; traffic Simulacija primjene sustava upravljanja redovima čekanja u trajektnim lukama u HrvatskojPrethodno priopćenje Problem istraživanja obrađen u ovom radu predstavlja pojava redova čekanja koji nastaju u trajektnim lukama prilikom ukrcaja vozila na trajekte za vrijeme glavne turističke sezone u Republici Hrvatskoj. S obzirom da optimizacija velikog i složenog promatranog sustava koji uključuje ponudu i potražnju za cestovnom i trajektnom infrastrukturom nije mogla bili izvedena u stvarnim uvjetima, osnovna ideja iznesena u članku predstavlja provođenje optimizacije pomoću računalnih simulacijskih modela koji u sebi sadrže ugrađenu logiku upravljanja redovima čekanja u trajektnim lukama (Ferry Que Management System -FQMS). Rezultati dobiveni izvođenjem simulacija dokazali su primjenjivost FQMS sustava na većini trajektnih linija, ali su istovremeno pokazali nužnost pojedinačne analize trajektnih linija u cilju pronalaženja optimalnog rješenja. Dobiveni rezultati također jasno ukazuju na optimizacijska ograničenja uvjetovana ograničenjima stvarnih elemenata promatranog sustava.

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Factors of Perceived Waiting Time and Implications on Passengers’ Satisfaction with Waiting Time

Cited by 9 publications

References 10 publications

Patron Survey of Acceptable Wait Times at Transit Bus Stops in the District of Columbia

Patron Survey of Acceptable Wait Times at Transit Bus Stops in the District of Columbia

Predicting Acceptable Wait Times for Patrons at Transit Bus Stops by Time of Day

Simulation of ferry que management system in Croatia

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