簡易檢索 / 詳目顯示

研究生: 盧又嘉
Lu, Yu-Chia
論文名稱: 探討旅客捷運與公車間轉乘困難度
Exploring the difficulty of travelers transferring between bus and mass rapid transit
指導教授: 鄭永祥
Cheng, Yung-Hsiang
學位類別: 碩士
Master
系所名稱: 管理學院 - 交通管理科學系
Department of Transportation and Communication Management Science
論文出版年: 2020
畢業學年度: 108
語文別: 中文
論文頁數: 112
中文關鍵詞: 公共運輸轉乘困難度網路服務多運具轉乘Rasch模式
外文關鍵詞: Transfer difficulty, Public transport, Inter-modal transportation, Internet service, Rasch analysis
相關次數: 點閱:111下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 捷運系統的建設搭配公車駁路線,使得能乘客利用捷運與公車轉乘到達目的地,然而,旅客使用這些公共運輸轉乘時,往往因轉乘產生負面感受。目前轉乘大多只考慮到價格因素給予旅客優惠,考慮的面向略顯不足,應該要考慮到旅客使用公共運輸中轉乘的各種不便情境,並且以旅客的角度出發去探討轉乘時各種困境與難題,才能真正解決旅客轉乘的問題。
    本研究利用多向度Rasch模式量測旅客捷運與公車間轉乘之困難,根據過去文獻將轉乘服務分為五向度,分別為設施與資訊、安全性、可靠度、網路服務以及舒適性。並將以上各向度中的試題分為不同階段,分別為月台與閘門間、閘門與地面出口間以及地面出口與公車站間三種階段,同時探討不同社經背景、旅次特性對於轉乘困難度的差異,此外本研究考慮手機使用特性對於轉乘困難度的差異,探討在網路服務以及智慧型手機普及的情況下,對於旅客轉乘行為的影響。
    研究結果顯示旅客在地面出口與公車站間的轉乘較為困難,適合擬定中長期的改善計畫。另外在族群差異分析中,旅客為移動較為緩慢的族群對於轉乘的能力較低;旅客搭乘頻率高、使用月票等旅次特性,可能因對於轉乘的熟悉度高而有較高的能力;旅客轉乘方向中,轉旅客由捷運轉乘公車的困難度較高,特別在可靠度與網路服務向度中更加顯著;熟悉智慧型手機功能使用以及轉乘相關的應用程式,對於旅客轉乘有正向的影響。 透過本研究之結果,可針對不同族群的人擬定改善之策略。

    Transfer is necessary processes in inter-modal transportation. When transfer, people need to overcome long walking distance, waiting time and uncomfortable environment. Recently, this situation has changed because the usage rate of internet service increase. This study develops conceptual modal that measures information, reliability, security, internet, comfort for evaluating transfer difficulties from perspective of passengers. Previous intermodal studies pay little attention to passengers’ viewpoint. Yet, passengers’ negative perceptions of transferring directly affect the subjective evaluation of transportation. Moreover, there are many contributing factors that influence transfer services, multidimensional Rasch model is applied to measure subjective latent variables which objective methods cannot evaluate. By using Rasch model, we can measure the perceptions of passengers in terms of the interactions between information, reliability, security, internet, and comfort of the transfer service. Empirical results show that the perceived difficulties are different in opposite transfer directions and the ability are various based on different passengers’ characteristics. In addition, this study prove that the internet service has increased the passengers’ ability of transferring. The results can provide authorities a better understanding how passengers face the transfer difficulties and how improvement should be made.

    摘要 i 誌謝 vii 目錄 viii 圖目錄 xii 表目錄 xiii 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 3 1.3 研究範圍 3 1.4 研究流程 4 第二章 文獻回顧 5 2.1 服務水準 5 2.2 社經背景行為分析 11 2.3 試題反應理論的應用 13 2.4 轉乘困難度 13 2.4.1 轉乘資訊 14 2.4.2 旅客保安 15 2.4.3 舒適性 16 2.4.4 設施 17 2.4.5 移動便利性 18 2.4.6 網路服務 18 2.5 小結 19 第三章 研究方法 21 3.1 研究架構 21 3.2 迴歸分析 24 3.2.1 多元迴歸分析 25 3.2.2 階層迴歸分析 25 3.3 試題反應理論 26 3.4 RASCH模式特性 27 3.5 二元計分模式 28 3.6 多元計分模式 29 3.7 多向度RASCH模式 30 3.8 RASCH模式假設檢驗 31 3.9 描述性統計 34 3.10 變異數分析 34 3.11 研究之流程 34 第四章 問卷設計 36 4.1 問卷設計 36 4.2 社經變數與習慣調查問項 41 4.3 研究假設 42 4.4 調查方式 43 第五章 實證分析 44 5.1 試題吻合度檢驗 44 5.2 描述性統計分析 45 5.3 試題困難度分析 49 5.3.1 完整試題困難度分析 49 5.3.2 轉乘設施與資訊向度困難度 54 5.3.3 轉乘安全性向度之困難度 56 5.3.4 轉乘可靠性性向度之困難度 57 5.3.5 網路服務向度之困難度 58 5.3.6 轉乘舒適性向度之困難度 59 5.4 轉乘階段困難度分析 60 5.5 受試者能力分析 60 5.5.1 族群能力差異檢定結果 60 5.5.2 社經變數之克服能力分析 61 5.5.3 旅次特性之克服能力分析 63 5.5.4 手機使用特性之克服能力分析 66 5.5.5 向度關聯性分析 68 5.5.6 旅次目的之能力差異 68 5.5.7 試題功能差異評估 69 5.5.8 轉乘方向之能力差異 70 5.5.9 一般旅客與使用無障礙旅客之能力差異 73 5.6 迴歸分析 75 5.6.1 多元迴歸分析 75 5.6.2 階層迴歸分析 78 5.6.3 驗證性因素分析 78 5.6.4 階層迴歸分析結果 81 5.7 投入改善 83 5.7.1 轉乘向度之改善效率分析 84 5.8 小節 86 第六章 結論與建議 89 6.1 結論 89 6.2 建議 92 6.3 研究貢獻 95 6.4 研究限制與方向 95 參考文獻 97 附錄一 問卷 108

    Antos, J. D., Jia, W., & Parker, J. H. (2017). Is It Too Crowded in Here?: In Search of Safety Standards for Pedestrian Congestion in Rail Stations. Transportation Research Record, 2648(1), 126-133.
    Battisti, F. D., Nicolini, G., & Salini, S. (2010). The Rasch model in customer satisfaction survey data. Quality Technology & Quantitative Management, 7(1), 15-34.
    Berežný, R., & Konečný, V. (2017). The impact of the quality of transport services on passenger demand in the suburban bus transport. Procedia Engineering, 192, 40-45.
    Brakewood, C., Ziedan, A., Hendricks, S. J., Barbeau, S. J., & Joslin, A. (2020). An evaluation of the benefits of mobile fare payment technology from the user and operator perspectives. Transport Policy.
    Brentari, E., & Golia, S. (2008). Measuring job satisfaction in the social services sector with the Rasch model. Journal of Applied Measurement, 9(1), 45.
    Cha, S., McCleary, K. W., & Uysal, M. (1995). Travel motivations of Japanese overseas travelers: A factor-cluster segmentation approach. Journal of Travel Research, 34(1), 33-39.
    Chakrabarti, S., & Giuliano, G. (2015). Does service reliability determine transit patronage? Insights from the Los Angeles Metro bus system. Transport Policy, 42, 12-20.
    Chang, Y.-H., & Yeh, C.-H. (2002). A survey analysis of service quality for domestic airlines. European Journal of Operational Research, 139(1), 166-177. doi:https://doi.org/10.1016/S0377-2217(01)00148-5
    Chang, Y.-H., Yeh, C.-H., & Liu, Y.-L. (2006). Prioritizing management issues of moving dangerous goods by air transport. Journal of Air Transport Management, 12(4), 191-196. doi:https://doi.org/10.1016/j.jairtraman.2006.01.007
    Chen, C.-F. (2008). Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: Evidence from Taiwan. Transportation Research Part A: Policy and Practice, 42(4), 709-717. doi:https://doi.org/10.1016/j.tra.2008.01.007
    Cheng, Y.-H., & Liu, K.-C. (2012). Evaluating bicycle-transit users’ perceptions of intermodal inconvenience. Transportation Research Part A: Policy and Practice, 46(10), 1690-1706. doi:https://doi.org/10.1016/j.tra.2012.10.013
    Cheng, Y.-H., & Tseng, W.-C. (2016). Exploring the effects of perceived values, free bus transfer, and penalties on intermodal metro–bus transfer users' intention. Transport Policy, 47, 127-138.
    Cherry, T., & Townsend, C. (2012). Assessment of potential improvements to metro–bus transfers in Bangkok, Thailand. Transportation Research Record, 2276(1), 116-122.
    Corran, P., Steinbach, R., Saunders, L., & Green, J. (2018). Age, disability and everyday mobility in London: An analysis of the correlates of ‘non-travel’in travel diary data. Journal of Transport & Health, 8, 129-136.
    Cox, T., Houdmont, J., & Griffiths, A. (2006). Rail passenger crowding, stress, health and safety in Britain. Transportation Research Part A: Policy and Practice, 40(3), 244-258. doi:https://doi.org/10.1016/j.tra.2005.07.001
    Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory: ERIC.
    Dawes, J. (2008). Do data characteristics change according to the number of scale points used? An experiment using 5-point, 7-point and 10-point scales. International journal of market research, 50(1), 61-104.
    de Oña, J., de Oña, R., Eboli, L., & Mazzulla, G. (2013). Perceived service quality in bus transit service: A structural equation approach. Transport Policy, 29, 219-226. doi:https://doi.org/10.1016/j.tranpol.2013.07.001
    de Oña, J., de Oña, R., Eboli, L., & Mazzulla, G. (2016). Index numbers for monitoring transit service quality. Transportation Research Part A: Policy and Practice, 84, 18-30. doi:https://doi.org/10.1016/j.tra.2015.05.018
    de Oña, J., de Oña, R., Eboli, L., Forciniti, C., & Mazzulla, G. (2018). An ordered regression model to predict transit passengers’ behavioural intentions. Case Studies on Transport Policy, 6(4), 449-455. doi:https://doi.org/10.1016/j.cstp.2018.05.004
    Dodds, W. B., & Monroe, K. B. (1985). The effect of brand and price information on subjective product evaluations. ACR North American Advances.
    Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of marketing research, 28(3), 307-319.
    Dziekan, K., & Kottenhoff, K. (2007). Dynamic at-stop real-time information displays for public transport: effects on customers. Transportation Research Part A: Policy and Practice, 41(6), 489-501. doi:https://doi.org/10.1016/j.tra.2006.11.006
    Eboli, L., Forciniti, C., & Mazzulla, G. (2018). Spatial variation of the perceived transit service quality at rail stations. Transportation Research Part A: Policy and Practice, 114, 67-83. doi:https://doi.org/10.1016/j.tra.2018.01.032
    Eboli, L., & Mazzulla, G. (2011). A methodology for evaluating transit service quality based on subjective and objective measures from the passenger’s point of view. Transport Policy, 18(1), 172-181. doi:https://doi.org/10.1016/j.tranpol.2010.07.007
    Elias, W., Albert, G., & Shiftan, Y. (2013). Travel behavior in the face of surface transportation terror threats. Transport Policy, 28, 114-122. doi:https://doi.org/10.1016/j.tranpol.2012.08.005
    Ferreira, M. C., Fontesz, T., Costa, V., Dias, T. G., Borges, J. L., & e Cunha, J. F. (2017). Evaluation of an integrated mobile payment, route planner and social network solution for public transport. Transportation Research Procedia, 24, 189-196.
    Fielbaum, A., Jara-Diaz, S., & Gschwender, A. (2016). Optimal public transport networks for a general urban structure. Transportation Research Part B: Methodological, 94, 298-313. doi:10.1016/j.trb.2016.10.003
    Gu, W., Gayah, V. V., Cassidy, M. J., & Saade, N. (2014). On the impacts of bus stops near signalized intersections: Models of car and bus delays. Transportation Research Part B: Methodological, 68, 123-140. doi:https://doi.org/10.1016/j.trb.2014.06.001
    Guo, Z., & Wilson, N. H. (2004). Assessment of the transfer penalty for transit trips geographic information system-based disaggregate modeling approach. Transportation Research Record, 1872(1), 10-18.
    Guo, Z., & Wilson, N. H. (2007). Modeling effects of transit system transfers on travel behavior: case of commuter rail and subway in Downtown Boston, Massachusetts. Transportation Research Record, 2006(1), 11-20.
    Guo, Z., & Wilson, N. H. M. (2011). Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground. Transportation Research Part A: Policy and Practice, 45(2), 91-104. doi:https://doi.org/10.1016/j.tra.2010.11.002
    Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory: Sage.
    Hashim, M. S., & Said, I. (2013). Effectiveness of wayfinding towards spatial space and human behavior in theme park. Procedia-Social and Behavioral Sciences, 85, 282-295.
    Hon, C. K., Chan, A. P., & Yam, M. C. (2013). Determining safety climate factors in the repair, maintenance, minor alteration, and addition sector of Hong Kong. Journal of construction engineering and management, 139(5), 519-528.
    Hulin, C. L., Drasgow, F., & Parsons, C. K. (1983). Item response theory: Application to psychological measurement: Dorsey Press.
    Jain, S., Aggarwal, P., Kumar, P., Singhal, S., & Sharma, P. (2014). Identifying public preferences using multi-criteria decision making for assessing the shift of urban commuters from private to public transport: A case study of Delhi. Transportation Research Part F: Traffic Psychology and Behaviour, 24, 60-70. doi:https://doi.org/10.1016/j.trf.2014.03.007
    Jen, W., Tu, R., & Lu, T. (2011). Managing passenger behavioral intention: an integrated framework for service quality, satisfaction, perceived value, and switching barriers. Transportation, 38(2), 321-342.
    Kim, J., Schmöcker, J.-D., Yu, J. W., & Choi, J. Y. (2018). Service quality evaluation for urban rail transfer facilities with Rasch analysis. Travel Behaviour and Society, 13, 26-35. doi:https://doi.org/10.1016/j.tbs.2018.05.002
    Kurniawan, J. H., Ong, C., & Cheah, L. (2018). Examining values and influences affecting public expectations of future urban mobility: A Singapore case study. Transport Policy, 66, 66-75. doi:https://doi.org/10.1016/j.tranpol.2017.12.014
    Li, J., Xu, L., Yao, D., & Mao, Y. (2019). Impacts of symbolic value and passenger satisfaction on bus use. Transportation Research Part D: Transport and Environment, 72, 98-113. doi:https://doi.org/10.1016/j.trd.2019.04.012
    Lin, T. G., Xia, J. C., Robinson, T. P., Goulias, K. G., Church, R. L., Olaru, D., . . . Han, R. (2014). Spatial analysis of access to and accessibility surrounding train stations: A case study of accessibility for the elderly in Perth, Western Australia. Journal of Transport Geography, 39, 111-120.
    Linacre, J. M. (1990). Many-faceted Rasch measurement.
    Linacre, J. M., Heinemann, A. W., Wright, B. D., Granger, C. V., & Hamilton, B. B. (1994). The structure and stability of the Functional Independence Measure. Archives of physical medicine and rehabilitation, 75(2), 127-132.
    Lois, D., Monzón, A., & Hernández, S. (2018). Analysis of satisfaction factors at urban transport interchanges: Measuring travellers’ attitudes to information, security and waiting. Transport Policy, 67, 49-56. doi:10.1016/j.tranpol.2017.04.004
    Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149-174.
    Navarette, F., & Ortuzar, J. d. D. (2013). Subective valuation of the transit transfer experience: the case of Santiago de Chile. Trans. Policy, 25, 138-147.
    Nesheli, M. M., Ceder, A., & Estines, S. (2016). Public transport user's perception and decision assessment using tactic-based guidelines. Transport Policy, 49, 125-136. doi:https://doi.org/10.1016/j.tranpol.2016.04.007
    Noh, Y., Kim, M., & Yoon, Y. (2018). Elderly pedestrian safety in a rapidly aging society—Commonality and diversity between the younger-old and older-old. Traffic injury prevention, 19(8), 874-879.
    Nordfjærn, T., & Rundmo, T. (2018). Transport risk evaluations associated with past exposure to adverse security events in public transport. Transportation Research Part F: Traffic Psychology and Behaviour, 53, 14-23. doi:https://doi.org/10.1016/j.trf.2017.12.014
    Nordfjærn, T., Şimşekoğlu, Ö., Lind, H. B., Jørgensen, S. H., & Rundmo, T. (2014). Transport priorities, risk perception and worry associated with mode use and preferences among Norwegian commuters. Accident Analysis & Prevention, 72, 391-400. doi:https://doi.org/10.1016/j.aap.2014.07.028
    Oreja-Rodríguez, J. R., & Yanes-Estévez, V. (2007). Perceived environmental uncertainty in tourism: A new approach using the Rasch model. Tourism Management, 28(6), 1450-1463. doi:https://doi.org/10.1016/j.tourman.2006.12.005
    Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of marketing, 49(4), 41-50.
    Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). Servqual: A multiple-item scale for measuring consumer perc. Journal of retailing, 64(1), 12.
    Pel, A. J., Bel, N. H., & Pieters, M. (2014). Including passengers’ response to crowding in the Dutch national train passenger assignment model. Transportation Research Part A: Policy and Practice, 66, 111-126. doi:https://doi.org/10.1016/j.tra.2014.05.007
    Rasch, G. (1960). Studies in mathematical psychology: I. Probabilistic models for some intelligence and attainment tests.
    Raveau, S., Guo, Z., Muñoz, J. C., & Wilson, N. H. (2014). A behavioural comparison of route choice on metro networks: Time, transfers, crowding, topology and socio-demographics. Transportation Research Part A: Policy and Practice, 66, 185-195.
    Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., . . . Hambleton, R. K. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Medical care, S22-S31.
    Rosenbloom, T., Sapir-Lavid, Y., & Perlman, A. (2016). Risk factors in road crossing among elderly pedestrians and readiness to adopt safe behavior in socio-economic comparison. Accident Analysis & Prevention, 93, 23-31.
    Sharma, S., & Sharma, S. (1996). Applied multivariate techniques.
    Shen, W., Xiao, W., & Wang, X. (2016). Passenger satisfaction evaluation model for Urban rail transit: A structural equation modeling based on partial least squares. Transport Policy, 46, 20-31. doi:https://doi.org/10.1016/j.tranpol.2015.10.006
    Şimşekoğlu, Ö., Nordfjærn, T., & Rundmo, T. (2015). The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in an urban Norwegian public. Transport Policy, 42, 113-120. doi:10.1016/j.tranpol.2015.05.019
    Sun, S., & Duan, Z. (2019). Modeling passengers’ loyalty to public transit in a two-dimensional framework: A case study in Xiamen, China. Transportation Research Part A: Policy and Practice, 124, 295-309. doi:https://doi.org/10.1016/j.tra.2019.04.007
    Tavassoli, A., Mesbah, M., & Shobeirinejad, A. (2018). Modelling passenger waiting time using large-scale automatic fare collection data: An Australian case study. Transportation Research Part F: Traffic Psychology and Behaviour, 58, 500-510.
    TCRP. (2015). Better On-Street Bus Stops Retrieved from
    Tesio, L. (2003). Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research. Journal of rehabilitation medicine, 35(3), 105-115.
    van Hagen, M. (2011). Waiting experience at train stations: Eburon Uitgeverij BV.
    Wang, D., Park, S., & Fesenmaier, D. R. (2012). The role of smartphones in mediating the touristic experience. Journal of Travel Research, 51(4), 371-387.
    Wang, D., Xiang, Z., & Fesenmaier, D. R. (2016). Smartphone use in everyday life and travel. Journal of Travel Research, 55(1), 52-63.
    Wang, L. J., Xiao, W. Z., Shen, W. W., & Liu, J. (2016). Research on the competitive character of urban rail transit and conventional bus-taking the Suzhou rail transit passenger corridor as an example. Paper presented at the Civil Engineering and Urban Planning IV - Proceedings of the 4th International Conference on Civil Engineering and Urban Planning, CEUP 2015.
    Wang, W.-C., Chen, P.-H., & Cheng, Y.-Y. (2004). Improving measurement precision of test batteries using multidimensional item response models. Psychological methods, 9(1), 116.
    Wang, W.-C., Yao, G., Tsai, Y.-J., Wang, J.-D., & Hsieh, C.-L. (2006). Validating, improving reliability, and estimating correlation of the four subscales in the WHOQOL-BREF using multidimensional Rasch analysis. Quality of Life Research, 15(4), 607-620.
    Wardman, M. (2004). Public transport values of time. Transport Policy, 11(4), 363-377. doi:https://doi.org/10.1016/j.tranpol.2004.05.001
    Watkins, K. E., Ferris, B., Borning, A., Rutherford, G. S., & Layton, D. (2011). Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders. Transportation Research Part A: Policy and Practice, 45(8), 839-848. doi:https://doi.org/10.1016/j.tra.2011.06.010
    Woodruff, R. B. (1997). Customer value: The next source for competitive advantage. Journal of the Academy of Marketing Science, 25(2), 139. doi:10.1007/BF02894350
    Wright, B. (1996). Reliability and separation. Rasch measurement transactions, 9(4), 472.
    Yang, A. (2015). Measuring Self-Service Technology Latent Difficulties: Insurance Decisions on Utilitarian and Hedonic Influences. Asia-Pacific Journal of Risk and Insurance, 9, 1-33. doi:10.1515/apjri-2014-0005
    Yang, M., Zhao, J., Wang, W., Liu, Z., & Li, Z. (2015). Metro commuters’ satisfaction in multi-type access and egress transferring groups. Transportation Research Part D: Transport and Environment, 34, 179-194.
    Zhang, C., Liu, Y., Lu, W., & Xiao, G. (2019). Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service. Transportation Research Part A: Policy and Practice, 120, 149-164. doi:https://doi.org/10.1016/j.tra.2018.12.013
    王文中. (1997). 測驗的建構: 因素分析還是 Rasch 分析? 調查研究(3), 129-166.
    交通部. (2019). 2020年版運輸政策白皮書.

    下載圖示 校內:2025-08-19公開
    校外:2025-08-19公開
    QR CODE