交通部為了要解決台灣的塞車問題而打造「MaaS」交通整合服務且特別對國道五號塞車問題進而發展「UMAJI」。UMAJI是一個交通服務APP，功能包含路線規劃、預約旅次、旅行時間預估、行動支付等，透過所有用戶的資訊， 提供客製旅運 資訊 給予用戶使用，以滿足每個族群的用戶旅運需求。因此，本研究根據MaaS&UMAJI設計誘因方案，了解民眾是否會因為誘因而改變運具選擇行為。本研究 是希望原私人運具民眾可以改選大眾運輸工具、或不使用大眾運輸工具之民眾可以多使用預約旅次；本研究利用敘述性偏好設計誘因方案情境，以網路發放問卷調查有宜蘭旅遊經驗的小汽車民眾，了解受訪者的每個因素。再透過多項式羅吉特模式 建構 城際 旅行之運具選擇行為模式。根據基本統計結果顯示，多數人還是會選擇使用小汽車方案，但選擇有預約旅次的人佔了最多數，表示民眾不是只有受到誘因的影響，還可能包含運具本身的便利性、可及性等因素，因此本研究根據這些資料加以彙整，給予行銷管理意涵、結論以及建議。本研究的校估結果顯示，民眾比較重視旅行時間；且當每個方案下降10%~30%的成本以及時間，機率皆是都 有 提升的，其中在時間與成本下降時選擇的機率變動比最大的皆是小汽未預約旅次的方案而變動最小皆是小汽車有預約旅次的方案。

In order to solve the traffic congestion problem in Taiwan, the Ministry of Transportation and communication developed the "UMAJI" APP for National Freeway No. 5 as a typical demonstration. "UMAJI" is a kind of APP for the integrated transportation service, which includes route planning, trips booking, travel time estimation, Mobile payment, etc., and can also collect all the information from the users to provide the customized travel information for them and meet the user’s travel needs for each group. Therefore, this study designed the incentives scheme based on UMAJI to understand whether the people will change their mode choice behavior.
This study hopes that the original car users can choose public transportation, or the people who do not use public transportation can use more travel reservations. this study uses the stated preference method to design incentive alternative scenarios, and use through online questionnaires to investigate the people who has been travelled to Yilan. Based on the data of survey, the Multinomial Logit Model is used to construct the mode choice model of intercity travel .
According to the basic statistical results, most people still choose to use the car to travel, but the people who choose to book a trip account for the largest number, which indicate that the public is not only affected by incentives, but may also include the convenience and accessibility of the car itself. This study consolidates these data and research results, then gives marketing management implications, conclusions and recommendations.
The results of this study show that people pay more attention to travel time and when the price and time of each mode alternative are reduced by 10% to 30%, the choice probability are improved. The biggest change of the choice probability in time and price is non-trips booking, and the smallest one is the trips booking alternative.

英文文獻
1.Akahane, H.& Kuwahara, M. (1996). A basic study on trip reservation systems for recreational trips on motorways. In Proceedings of the Third World Congress on Intelligent Transportation Systems.
2.Bai, T., Li, X.& Sun, Z. (2017). Effects of cost adjustment on travel mode choice: analysis and comparison of different logit models. Transportation research procedia, 25, 2649-2659.
3.Bamberg, S.& Schmidt, P. (1999). Regulating transport: Behavioral changes in the field. Journal of Consumer Policy, 22, 479-509.
4.Ben-Elia, E.& Ettema, D. (2011). Rewarding rush-hour avoidance: A study of commuters’ travel behavior. Transportation Research Part A: Policy and Practice, 45(7), 567-582.
5.Bhat, C. R.& Sardesai, R. (2006). The impact of stop-making and travel time reliability on commute mode choice. Transportation Research Part B: Methodological, 40(9), 709-730.
6.Bliemer, M., Dicke-Ogenia, M.& Ettema, D. (2009, December). Rewarding for avoiding the peak period: A synthesis of three studies in the Netherlands. In European transport conference 2009.
7.Bliemer, M. C.& van Amelsfort, D. H. (2010). Rewarding instead of charging road users: a model case study investigating effects on traffic conditions.
8.Börjesson, M. (2008). Joint RP–SP data in a mixed logit analysis of trip timing decisions. Transportation Research Part E: Logistics and Transportation Review, 44(6), 1025-1038.
9.Chang, S. J., Chen, H. Y.& Chen, H. C. (2019). Mobility as a service policy planning, deployments and trials in Taiwan. IATSS Research, 43(4), 210-218.
10.Chung, Y., Song, T.& Park, J. (2012). Freeway booking policy: Public discourse and acceptability analysis. Transport Policy, 24, 223-231.
11.Chung, Y., Song, T., Kim, Y. & Kang, S. C. (2011). Acceptability of a freeway travel reservation strategy. Journal of the Korean Society of Civil Engineers, 31(1D), 25-32.
12.Chung, Y., Song, T.& Park, J. (2012). Freeway booking policy: Public discourse and acceptability analysis. Transport Policy, 24, 223-231.
13.De Feijter, R., Evers, J. J.& Lodewijks, G. (2004). Improving travel-time reliability by the use of trip booking. IEEE Transactions on Intelligent Transportation Systems, 5(4), 288-292.
14.De Palma, A.& Rochat, D. (2000). Mode choices for trips to work in Geneva: an empirical analysis. Journal of Transport Geography, 8(1), 43-51.
15.Garling, T. and Schuitema, G. (2007). “Travel demand management targeting reduced private car use: Effectiveness, public acceptability, and political feasibility.” Journal of Social Issues, Vol. 63, No. 1, pp.139-153, DOI: 10.1111/j.1540-4560.2007.00500.x.
16.Holly, F. (2009). Incentives and disincentives for day visitors to park and ride public transportation at Acadia National Park.
17.Goh, M. (2002). Congestion management and electronic road pricing in Singapore. Journal of transport geography, 10(1), 29-38.
18.Jakobsson, C., Fujii, S.& Gärling, T. (2000). Determinants of private car users' acceptance of road pricing. Transport Policy, 7(2), 153-158.
19.Javid, M. A. (2015). Influence of situational constraints and public transport incentives on acceptability of car use restrictions in Lahore, Pakistan. Proceedings of the Pakistan Academy of Sciences, 52(2), 109-116.
20.Javid, M. A., Okamura, T., Nakamura, F., Tanaka, S.& Wang, R. (2016). People’s behavioral intentions towards public transport in Lahore: Role of situational constraints, mobility restrictions and incentives. KSCE Journal of Civil Engineering, 20(1), 401-410.
21.Kandolath, U. S. (2019). Regulating Travel Demand for Sustainable Transport: Road Pricing Versus Incentive Schemes. In Green Buildings and Sustainable Engineering (pp. 259-264). Springer, Singapore.
22.Kumar, V., Bhat, C. R., Pendyala, R. M., You, D., Ben-Elia, E.& Ettema, D. (2016). Impacts of incentive-based intervention on peak period traffic: experience from the Netherlands. Transportation Research Record, 2543(1), 166-175.
23.Morrison, S. A. (1986). A survey of road pricing. Transportation Research Part A: General, 20(2), 87-97.
24.Müller, S., Haase, K.& Kless, S. (2009). A multiperiod school location planning approach with free school choice. Environment and Planning A, 41(12), 2929-2945.
25.Nielsen, O. A.& Sørensen, M. V. (2008). The AKTA road pricing experiment in Copenhagen. In Road pricing, the economy and the environment (pp. 93-109). Springer, Berlin, Heidelberg.
26.Schuitema, G., Steg, L.& Vlek, C. (2003). Prijsbeleid: effectief en aanvaardbaar voor veranderen van autogebruik. In Colloquium Vervoersplanologisch Speurwerk, Colloquium Vervoersplanologisch Speurwerk: No pay, no queue, 385-400.
27.Thøgersen, J. (2004). A cognitive dissonance interpretation of consistencies and inconsistencies in environmentally responsible behavior. Journal of Environmental Psychology, 24(1), 93-103.
28.Wong, J. T. (1997). “Basic Concepts for a System for Advance Booking for Highway Use”,Transport Policy, 4(2), 109-114.
29.Yue, J. S., Mandayam, C. V., Merugu, D., Abadi, H. K.& Prabhakar, B. (2015). Reducing road congestion through incentives: a case study. In Transportation Research Board 94th Annual Meeting, Washington, DC.
30.Zhang, Z., Fujii, H.& Managi, S. (2014). How does commuting behavior change due to incentives? An empirical study of the Beijing Subway System. Transportation Research Part F: Traffic Psychology and Behaviour, 24, 17-26.
31.Zhao, Y., Triantis, K., Teodorović, D.& Edara, P. (2010). A travel demand management strategy: The downtown space reservation system. European Journal of Operational Research, 205(3), 584-594.
32.Zhao, J., Xiong, C.& Zhang, L. (2018). A Joint-Revealed and Stated Preference Analysis of Travel Behavioral Responses to Monetary Incentives (No. 18-04578).
33.Zhou, H., Xia, J., Norman, R., Hughes, B., Nikolova, G., Kelobonye, K., ... & Falkmer, T. (2019). Do air passengers behave differently to other regional travellers?: A travel mode choice model investigation. Journal of Air Transport Management, 79, 101682.
中文文獻
34.林卓漢(2001)，捷運到站運具選擇模式之研究，台灣大學土木工程研究所碩士論文。
35.李香怡(2004)，時間差別定價對台北捷運乘客旅運行為之影響，交通大學交通運輸研究所碩士論文。
36.林韋丞, 馮正民& 謝承憲(2011)，觀光地區遊客運具之選擇偏好-以台灣好行日月潭線為例，運輸學刊，26(1)，P35 – 62。
37.武伯原(2015)，高速公路興建對遊憩及旅運行為之影響分析-以國道五號為例，交通大學運輸與物流管理學系碩士論文。
38.羅孝賢，王中允，宋奕緯， 洪瀚& 黃俊良 (2015)，eTag 技術衍生應用之策略研究，都市交通， 30(1)， 87-102。
39.林浩瑋(2016)，悠遊卡大數據應用於大眾運輸乘客旅運型態之研究，淡江大學運輸管理學系運輸科學碩士班學位論文。
40.邱琮驊(2016)，國道五號及門旅行時間對運具選擇行為影響之研究，臺灣大學土木工程學研究所學位論文。
41.嚴國基(2019)，道路旅次預約政策基礎分析模型之研究，運輸計劃季刊, 48(1), 29-62。
網路文獻
42.天下雜誌（2008）。ITS智慧運輸交通計畫，取自：https://event.cw.com.tw/2020its/
43.國道5號試辦「例假日差別收費」說明資料(2014)，取自：https://www.101media.com.tw/content/xdv0VdZjr1Nq7qsKB1S3czbeS2Mixd
44.宜蘭縣政府（2015）。宜蘭縣政府2015-06-15 1530紅配綠，悠遊宜蘭勁有趣！。取自：http://e-landbus.tw/eLandBus/HotNewsShow2.aspx?idx=45
45.公路公共運輸年報(2016) 。交通部公路總局-全球資訊網。
46.民眾日常使用運具狀況調查|政府資料開放平臺(105)，取自：datahttps://data.gov.tw/dataset/6248。
47.台灣車聯網頁協會（2017）。ETC訊息分享_下載遠通電收ETC APP，eTag用戶享好康！取自http://www.ttia-tw.org/news.php?wshop=ttia&Opt=detailed&tp=News&lang=zh-tw&news_id=22346
48.中華民國交通部公路局(2017)。107年元旦連假搭乘國道客運，享票價及轉乘雙重優惠，取自：https://www.thb.gov.tw/sites/ch/modules/news/news_details?node=eeb33aa6-58a1-4d5d-b6aa-28dd4d5270b0&id=1b931f65-113a-4824-977a-b58c9be3434d
49.交通部科顧室(106)。全球交通行動服務(MaaS)的興起與應用，取自：https://ictjournal.itri.org.tw/Content/Messagess/contents.aspx?MmmID=654304432122064271&MSID=745620120755035541。
50.交通新聞稿-中華民國交通部(107) 行動支付獨享85折 掃碼驗票快速通行https://www.motc.gov.tw/ch/home.jsp?id=14&parentpath=0%2C2&mcustomize=news_view.jsp&dataserno=201810160007&ou=news,ou=chinese,ou=ap_root,o=motc,c=tw
51.李逸涵，（民國108年3月6日）。UMAJI下一步 師大教授陳敦基列三方向，智慧應用網，取自https://www.digitimes.com.tw/iot/package_show.asp?cat=158&id=0000554652_UEO5JLHV6YNQ681MM6B9C&packageid=13281
52.中華民國交通部公路局(2019)，取自：https://www.thb.gov.tw/sites/ch/modules/news/news_details?node=eeb33aa6-58a1-4d5d-b6aa-28dd4d5270b0&id=1b931f65-113a-4824-977a-b58c9be3434d
53.中華民國交通部公路局(2019) 中秋連假返鄉搭客運票價優惠，省錢又平順https://www.thb.gov.tw/sites/ch/modules/news/news_details?node=eeb33aa6-58a1-4d5d-b6aa-28dd4d5270b0&id=5a382437-62fc-4281-90db-457286930643
54.交通部高速高路局(2020)。計程費率計算https://fare.fetc.net.tw/
55.交通部高速高路局(2020)。國道電子計程收費，取自：https://www.freeway.gov.tw/etc/publish.aspx?NID=1941&P=9102
56.宜蘭勁好行幸福交通網─宜蘭縣公車資訊http://e-landbus.tw/eLandBus/
57.葛瑪蘭汽車客運官網，取自：http://www.kamalan.com.tw/
58.Capital Bus 首都客運官網，取自：http://www.capital-bus.com.tw/
59.遠通電收。取自https://www.fetc.net.tw/UX/?GnOunE=k7iPUEZsuInhk3d74nK1PyAd8VcL6FoLArl7aaEEIUKx5jyybvs2_ZrTTG_vTJN5gYxujCtIJ0YcYDQTMGLqS6W3XFh6_u7SArBR06V3dVnQ.69vssTOTLY_K9Y2rXoPJlem4nlPQFlvdjqm
60. UMAJ Metropia Inc。取自https://www.metropia.com/umaji-taiwan