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題名 位基服務商業模式研究---海量資料價值創造
A study of creating value from big data on location-based services作者 崔紹成
Tsui, Shao-Cheng貢獻者 尚孝純
Shang, Shari S.C.
崔紹成
Tsui, Shao-Cheng關鍵詞 位基服務
海量資料
商業模式
Location-based service
Big data
Business model日期 2014 上傳時間 11-Jul-2017 11:39:43 (UTC+8) 摘要 近年來, 智慧型手機使用率的快速成長, 以及App程式的開發, 使得手機的功能越來越多元. 其中GPS (Global Position System)功能最廣為被應用, 並且在手機的平台上開發位置基礎服務(Location-Based Service)的技術.LBS(Location-Based Service)會產生非常大量的數據, 通常LBS所產生的資料是即時性的、大量的、非結構性的, 例如記錄一些移動的軌跡, 包含時間序位的路徑, 地理位置的資料.企業管理者開始研究如何利用這些LBS產生的大量資料, 本研究試圖去了解下列3項問題. 1)被收集到的資料有甚麼樣的特徵? 2)這些大量的資料如何被分析. 3) 企業如何去應用這些資料, 以及如何使用這些研究的結論. 為了去研究經營管理LBS產生的海量資料(Big data), 本研究收集8個不同的個案作分析, 研究這些LBS海量資料的特徵、資料收集和分析方法. 並檢視其研究結果在經營管理上的執行和績效.從最後的研究結論可以發現, 對應到商業模式的四個大區塊來分析, 以 ”客戶端” (Customers)的效益提升最為顯著. “基礎設施”(Infrastructure)的部分次之.
In recent years, there is a growing trend in the use of smartphone, and the applications developed on smartphone have become increasingly diversified. GPS (Global Position System) is one of the widely adopted techniques in developing Location-Based Service (LBS) on the mobile platform. A very large number of data has been generated off those LBS. The LBS data sets are usually generated in real time, in large volumes and in unstructured forms. Such as the moving track record, timeline routing path, and geographic data. It has become critical for businesses to learn how to leverage these massive data from LBS. This study strives to understand: 1) what kind of LBS data features can be collected? 2) How can the big volume of LBS data be analyzed? 3) How do firms interpret the data and make use of findings? In order to understand the management of LBS big data, this study collected 8 different type of LBS cases to understand the features, collection and analysis methods of the big data on LBS and examine the management efforts and benefits of the use of big data results from LBS.Conclusions of this study can be mapped in the four blocks of business model, and it seems that “Customer” can experience significant value from the LBS big data and whole business “Infrastructure” can also receive big improvement in the back of office process.參考文獻 Adshead, A., & Dubash, M. (2014). Big data storage choices. Retrieved from ComputerWeekly: http://www.computerweekly.com/feature/Big-data-storage-choicesAgrawal, D., Bernstein, P., Bertino, E., Davidson, S., Dayal, U., Franklin, M., . . . Ramakrishnan, R. (2011). Challenges and Opportunities with Big Data. West Lafayette: Purdue university.Alibaba. (2014). Home. Retrieved from Alibaba Group: http://www.alibabagroup.com/en/global/homeAutomotive navigation system. (2014, June 30). Retrieved from Wikipedia: http://en.wikipedia.org/wiki/Automotive_navigation_systemBaidu. (2014). Baidu Migration. Retrieved from Baidu: http://qianxi.baidu.com/Bellemansa, T., Botheb, S., Choa, S., Giannottid, F., Janssensa, D., Knapena, L., . . . Wets, G. (2012, August 25). An Agent-Based Model to Evaluate Carpooling at Large Manufacturing Plants. Retrieved from ScienceDirect: http://www.sciencedirect.com/science/article/pii/S1877050912005832Beyer, M. A., & Laney, D. (2012, June 21). The Importance of `Big Data`: A Definition. Retrieved from Gartner: https://www.gartner.com/doc/2057415Boagey, R. (2014). Connected Car – Big Data, Big Brother? Retrieved from Automotive World: http://www.automotiveworld.com/analysis/connected-car-big-data-big-brother/Cai, H., & Xu, M. (2013, July 19). Greenhouse Gas Implications of Fleet Electrification Based on Big Data-Informed Individual Travel Patterns. Retrieved from ACS Publications: http://pubs.acs.org/doi/abs/10.1021/es401008fCai, X., Nie, F., & Huang, H. (2013). Multi-View K-Means Clustering on Big Data. University of Texas at Arlington, p. 7.Cassandra, P. (2014). what-is-nosql. Retrieved from Planet Cassandra: http://planetcassandra.org/what-is-nosql/cbkcuhk. (2013, September 12). BIG DATA: THE NEXT BIG TREND TO WATCH. Retrieved from CUHK: http://cbkcuhk.wordpress.com/2013/09/12/big-data-the-next-big-trend-to-watch/China Smart Logistic Network. (2013, June 9). Retrieved from WikiPedia: http://en.wikipedia.org/wiki/China_Smart_Logistic_NetworkChina Smart Logistic Network. (2013). Retrieved from Wikipedia: http://en.wikipedia.org/wiki/China_Smart_Logistic_NetworkChiu, K.-H., Fang, W.-C., & Wang, C.-C. (2005, 3). Using Mobile Communication Technology to Improve Automobile Consumers` Values-A Location Based Commerce Case Study of Taiwan Yulon Nissan`s TOBE Service. Electronic Commerce Studies, pp. 57-77.CitiBikeFiner. (2014). New York City Bike Share (Citi Bike). Retrieved from BIGAPPS NYC 2014: http://citibikefinder.splashthat.com/Collins, B. (2006, April 1). Car pooling a key part of the solution to commuting problems. Retrieved from Labour: http://www.labour.ie/press/2006/04/01/car-pooling-a-key-part-of-the-solution-to-commutin/Department of Transportation, T. G. (2014). Taipei e-bus System. Retrieved from My E Government: http://www.e-bus.taipei.gov.tw/new/english/en_index_6_1_1_1.htmlEkkebus, S.-P., Fokkinga, M. M., & Meratnia, N. (2004). Real-time location-based services for running races. Faculty of Electrical Engineering, Mathematics and Computer Science (p. 6). Netherlands: University of Twente.Fulco, M. (2013, Sep 24). ALL HAIL ALIBABA. Retrieved from CKGSB Knowledge: http://knowledge.ckgsb.edu.cn/2013/09/24/china-business-strategy/all-hail-alibaba/General-Motor. (2014). ON Star. Retrieved from General Motor: http://www.gm.com/vision/design_technology/onstar_safe_connected.htmlGeographic information system. (2014). Retrieved from Wikipediasss: http://en.wikipedia.org/wiki/Geographic_information_systemGlobal Positioning System. (2014). Retrieved from Wikipedia: en.wikipedia.org/wiki/Global_Positioning_SystemGoldberg, M. (2013, July 1). Subscribe to Data Informed. Retrieved from DATAInformed: http://data-informed.com/saps-twogo-app-combines-data-design-to-address-carpool-challenge/Goodchild, M. F. (2009). LOCATION-BASED SERVICES. Journal of Location Based Services. Retrieved from http://www.geog.ucsb.edu/~good/Goodchild-CV.html: http://www.geog.ucsb.edu/~good/papers/471.pdfHartmann, P. M., Zaki, M., Feldmann, N., & Neely, A. (2014, March). Big Data for Big Business. University of Cambridge, p. 30. Retrieved from http://www.cambridgeservicealliance.org/uploads/downloadfiles/2014_March_Data%20Driven%20Business%20Models.pdfHere (Nokia). (2014, June 21). Retrieved from WikiPedia: http://en.wikipedia.org/wiki/Here_(Nokia)Huang, S., Cai, L., Liu, Z., & Hu, Y. (2012). Non-structure Data Storage Technology. IEEE Computer Society. Washington, DC USA: The Association for Computing Machinery.Intelligent transport systems. (2014). Retrieved from Mobility and Transport: http://ec.europa.eu/transport/themes/its/consultations/2014-03-14-rtti_en.htmJensen, C. S., Friis-Christensen, A., Pedersen, T. B., Pfoser, D., Saltenis, S. ˇ., & Tryfona, N. (2003, June). Location-Based Services—A Database Perspective. Department of Computer Science, Aalborg University, p. 10.Kanaracus, C. (2013, April 29). SAP launches ride-sharing app TwoGo. Retrieved from PCWorld: http://www.pcworld.com/article/2036609/sap-launches-ridesharing-app-twogo.htmlKock, J. d. (2003). Utilisation of mobile technology for field data management in land administration. faculty of earth and sciences.Kwan, M.-P. (2001). Analysis of LBS-Derived Data for Social Scientists. Department of Geography, Ohio State University.Larson, C. (2013, May 29). In China, Big Data Is Becoming Big Business. Retrieved from Bloomberg Businessweek Technology: http://www.businessweek.com/articles/2013-05-29/in-china-big-data-is-becoming-big-businessLaValle, S., Lesser, E., & Shockley, R. (2011). Big Data, Analytics and. MIT SLOAN MANAGEMENT REVIEW.Location-based service. (2014, June 18). Retrieved from WIKIPEDIA The Free Encyclopedia: http://en.wikipedia.org/wiki/Location_based_serviceManohar, N. (2013, Sep 04). Why Big Data is All Important for the Auto World Now . Retrieved from FROST SULLIVAN: http://www.frost.com/c/10046/blog/blog-display.do?id=2984216McGuire, T., Manyika, J., & Chui, a. M. (2012, July). Why Big data is the new competetitive advantage. Retrieved from Ivey Business journal: http://iveybusinessjournal.com/topics/strategy/why-big-data-is-the-new-competitive-advantage#.U7WEMPmSxOtMongoDB, I. (2014). Big Data Explained. Retrieved from MongoDB, Inc.: http://www.mongodb.com/big-data-explainedMorten, K. (2005, Nov 14). Data Management Support for Location Based Services. Retrieved from Centre for Pervasive Computing: http://www.pervasive.dk/projects/LBS/LBS_themes.htmMullich, J. (2012, Dec 10). New Meaning to Old Products. Retrieved from The Wall Street Journal: http://online.wsj.com/ad/article/datamanagement-innovationNadi, S., & Delavar, M. R. (2010, July 15). LOCATION-BASED SERVICE FOR in vehicle route GUIDANCE WITH REAL TIME TRAFFIC INFORMATION. 1GIS Laboratory, p. 10.O`Brien, O. (2013). (Visualization of the Week: NYC Citi Bike use, in real time / Radar) Retrieved from http://strata.oreilly.com/2013/06/visualization-of-the-week-nyc-citi-bike-use-in-real-time.htmlO`Brien, O. (2014). More Cities, More Bikes, More Data Bikesharing Global Update. http://www.casa.ucl.ac.uk/. Retrieved from https://docs.google.com/file/d/0Bz-cFgbMasEcN283RzNJOHA2NVU/editOsterwalder, A., Pigneur, Y., Smith, A., Clark, T., & Pijl, P. v. (2009). Business Model Generation: A business model template. Retrieved from BusinessModelGeneration: http://www.businessmodelgeneration.com/downloads/businessmodelgeneration_preview.pdfOTTAWA. (2006). Yulon Nissan Motors Chooses QNX for Next-Generation Telematics System in Taiwan. Retrieved from QNX: http://www.qnx.com/news/pr_1911_1.html?lang=deQiang, N. (2012). Using cloud technology to deliver quality taxi services. Taiwan, Taipei: Intel.Rodrigues, T. (2012, Dec 4). (TechRepublic / 10 emerging technologies for BigData) Retrieved from http://www.techrepublic.com/blog/big-data-analytics/10-emerging-technologies-for-big-data/Sabrina. (2013, Nov 15). 60 Million Packages Processed on China’s Bachelor’s Day. Retrieved from China Internet Watch: http://www.chinainternetwatch.com/4735/60-million-packages-processed-on-chinas-bachelors-day/Schiller, J., & Voisard, A. (2004). Location-based Services. Retrieved from Itä-Suomen yliopisto: http://cs.uef.fi/pages/franti/lami/papers/Book-Location-based%20Services.docShamah, D. (2014, Jan 15). How big data means big changes for location-based services. Retrieved from ZDNet: http://www.zdnet.com/how-big-data-means-big-changes-for-location-based-services-or-at-least-save-your-battery-life-7000025076/Shanshan, W. (2013, May 21). Alibaba Intending to Dig Deep for E-commerce Gold. Retrieved from Caixin Online: http://english.caixin.com/2013-05-21/100530799.htmlSIRI. (2014, April 19). Retrieved from WikiPedia: http://en.wikipedia.org/wiki/Service_Interface_for_Real_Time_InformationSMITH, G. (2014, March 1). Pedaling into the Future. Retrieved from Taiwan Review: http://taiwanreview.nat.gov.tw/ct.asp?xItem=214286&ctNode=1206&mp=1Spiekermann, S. (2004). General Aspects of Location-based Services. (p. 18). Berlin: Humboldt university.Stepney, C. (2014). BIG DATA, BIG INSIGHTS. Retrieved from sdg BLOG: http://solutiondesign.com/big-data-big-insights-2/Supstat. (2013). CITIBIKE DATA COLLECTION, PREDICTION AND APPLICATION WITH R. Retrieved from supstat analytics: http://www.supstat.com/consulting/TomTom. (2014). about TomTom. Retrieved from TOMTOM: http://corporate.tomtom.com/VeriFone. (2014). Fleet Management. Retrieved from VeriFoness: http://www.verifone.com/industries/taxi/fleet-management/Virrantaus, K., Veijalainen, J., Markkula, J., Katanosov, A., Garmash, A., Tirri, H., & Tirri, H. (2002, Oct 10). Developing GIS-Supported Location-Based Service. Kharkov National University of Radioelectronics (KNURE), p. 10.Wang, B. (2008). Mobile Location-Based Services in New Zealand. (p. 60). School of Computing and Mathematical Sciences Faculty of Design and Creative Technologies.WebMapSolution. (2012). Mobile Location Apps Review. Retrieved from Web Map Solution Location Technology Experts: http://www.webmapsolutions.com/mobile-location-appswikitude. (2014). wikitude. Retrieved from wikitude: http://www.wikitude.com/Zhang, D., He, T., Liu, Y., & Stankovic, J. (2013). CallCab: A unified recommendation system for carpooling and regular taxicab services. Retrieved from IEEE Xplore: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6691605&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6691605Zipf, A. (2008, Apr 24). User-Adaptive Maps for Location-Based Service (LBS) for Tourism. European Media Laboratory– EML, Heidelberg, Germany.包研. (2012, Dec 1). (csdn, 百度大數據平台介紹) Retrieved from http://www.csdn.net/article/a/2012-12-01/2812397包研. (2012, Dec 1). (csdn.net / 大数据探索-阿里巴巴数据交换平台) Retrieved from http://www.csdn.net/article/a/2012-12-01/2812396吳韻萱. (2014, June 30). YouBike的雲端軍師 微程式打通傳產創新任督二脈. Retrieved from 智邦生活館: http://www.url.com.tw/blog/?p=33724杜胤廣. (2014, March 21). YouBike行動 APP 用 RFID 打造智慧生活. Retrieved from 3S Market 台灣醒報: http://3smarket-info.blogspot.tw/2014/03/youbike-app-rfid.html 描述 碩士
國立政治大學
經營管理碩士學程(EMBA)
101932135資料來源 http://thesis.lib.nccu.edu.tw/record/#G0101932135 資料類型 thesis dc.contributor.advisor 尚孝純 zh_TW dc.contributor.advisor Shang, Shari S.C. en_US dc.contributor.author (Authors) 崔紹成 zh_TW dc.contributor.author (Authors) Tsui, Shao-Cheng en_US dc.creator (作者) 崔紹成 zh_TW dc.creator (作者) Tsui, Shao-Cheng en_US dc.date (日期) 2014 en_US dc.date.accessioned 11-Jul-2017 11:39:43 (UTC+8) - dc.date.available 11-Jul-2017 11:39:43 (UTC+8) - dc.date.issued (上傳時間) 11-Jul-2017 11:39:43 (UTC+8) - dc.identifier (Other Identifiers) G0101932135 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/110813 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 經營管理碩士學程(EMBA) zh_TW dc.description (描述) 101932135 zh_TW dc.description.abstract (摘要) 近年來, 智慧型手機使用率的快速成長, 以及App程式的開發, 使得手機的功能越來越多元. 其中GPS (Global Position System)功能最廣為被應用, 並且在手機的平台上開發位置基礎服務(Location-Based Service)的技術.LBS(Location-Based Service)會產生非常大量的數據, 通常LBS所產生的資料是即時性的、大量的、非結構性的, 例如記錄一些移動的軌跡, 包含時間序位的路徑, 地理位置的資料.企業管理者開始研究如何利用這些LBS產生的大量資料, 本研究試圖去了解下列3項問題. 1)被收集到的資料有甚麼樣的特徵? 2)這些大量的資料如何被分析. 3) 企業如何去應用這些資料, 以及如何使用這些研究的結論. 為了去研究經營管理LBS產生的海量資料(Big data), 本研究收集8個不同的個案作分析, 研究這些LBS海量資料的特徵、資料收集和分析方法. 並檢視其研究結果在經營管理上的執行和績效.從最後的研究結論可以發現, 對應到商業模式的四個大區塊來分析, 以 ”客戶端” (Customers)的效益提升最為顯著. “基礎設施”(Infrastructure)的部分次之. zh_TW dc.description.abstract (摘要) In recent years, there is a growing trend in the use of smartphone, and the applications developed on smartphone have become increasingly diversified. GPS (Global Position System) is one of the widely adopted techniques in developing Location-Based Service (LBS) on the mobile platform. A very large number of data has been generated off those LBS. The LBS data sets are usually generated in real time, in large volumes and in unstructured forms. Such as the moving track record, timeline routing path, and geographic data. It has become critical for businesses to learn how to leverage these massive data from LBS. This study strives to understand: 1) what kind of LBS data features can be collected? 2) How can the big volume of LBS data be analyzed? 3) How do firms interpret the data and make use of findings? In order to understand the management of LBS big data, this study collected 8 different type of LBS cases to understand the features, collection and analysis methods of the big data on LBS and examine the management efforts and benefits of the use of big data results from LBS.Conclusions of this study can be mapped in the four blocks of business model, and it seems that “Customer” can experience significant value from the LBS big data and whole business “Infrastructure” can also receive big improvement in the back of office process. en_US dc.description.tableofcontents ACKNOWLEDGEMENT II中文摘要 IIIABSTRACT IVCONTENT VLIST OF TABLE VIILIST OF FIGURES VIIICHAPTER 1 INTRODUCTION 11.1 GENERAL BACKGROUND INFORMATION 11.2 MOTIVATION 31.3 RESEARCH OBJECTIVE 41.4 RESEARCH PROCESS 5CHAPTER 2 LITERATURE REVIEW 62.1 GENERAL ASPECTS OF LOCATION-BASED SERVICES 62.2 BIG DATA GENERATED FROM LOCATION BASED SERVICES 72.2.1 Special features of data collected from LBS 72.2.2 Technology involved in managing big data from LBS 92.2.3 Management effort involved in exploiting big data from LBS 112.3 BUSINESS MODEL 13CHAPTER 3 RESEARCH METHOD 153.1 CONTENT ANALYSIS 153.2 DATA COLLECTION 163.3 DATA ANALYSIS 17CHAPTER 4 LOCATION BASE SERVICE APPLICATION IN MARKETPLACE 184.1 TAXI FLEET LOCATION AND DISPATCH SYSTEM 184.2 REAL-TIME TRAFFIC INFORMATION SERVICE 194.3 CHINESE NEW YEAR MASS MIGRATION WITH BAIDU HEAT MAP 214.4 SMART LOGISTIC NETWORK 244.5 CAR POOL NETWORK SYSTEM 274.6 VEHICLE MONITORING AND TRACKING SYSTEM 284.7 PUBLIC BICYCLE SHARING SYSTEM 304.8 NAVIGATION SERVICES 31CHAPTER 5 RESULT AND DISCUSSION 345.1 CROSS ANALYSIS OF LBS IN DIFFERENT DATA FEATURES 345.2 RELATED TECHNOLOGIES WITH DATA MINING 355.3 EFFORTS IN BIG DATA MANAGEMENT 375.4 DEVELOP VALUE FROM BIG DATA 38CHAPTER 6 CONCLUSION 406.1 SUMMARY 406.2 CONTRIBUTION AND MANAGEMENT IMPLICATION 406.3 LIMITATION AND FUTURE RESEARCH 41REFERENCE 43 zh_TW dc.format.extent 1152068 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0101932135 en_US dc.subject (關鍵詞) 位基服務 zh_TW dc.subject (關鍵詞) 海量資料 zh_TW dc.subject (關鍵詞) 商業模式 zh_TW dc.subject (關鍵詞) Location-based service en_US dc.subject (關鍵詞) Big data en_US dc.subject (關鍵詞) Business model en_US dc.title (題名) 位基服務商業模式研究---海量資料價值創造 zh_TW dc.title (題名) A study of creating value from big data on location-based services en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Adshead, A., & Dubash, M. (2014). Big data storage choices. Retrieved from ComputerWeekly: http://www.computerweekly.com/feature/Big-data-storage-choicesAgrawal, D., Bernstein, P., Bertino, E., Davidson, S., Dayal, U., Franklin, M., . . . Ramakrishnan, R. (2011). Challenges and Opportunities with Big Data. West Lafayette: Purdue university.Alibaba. (2014). Home. Retrieved from Alibaba Group: http://www.alibabagroup.com/en/global/homeAutomotive navigation system. (2014, June 30). Retrieved from Wikipedia: http://en.wikipedia.org/wiki/Automotive_navigation_systemBaidu. (2014). Baidu Migration. Retrieved from Baidu: http://qianxi.baidu.com/Bellemansa, T., Botheb, S., Choa, S., Giannottid, F., Janssensa, D., Knapena, L., . . . Wets, G. (2012, August 25). An Agent-Based Model to Evaluate Carpooling at Large Manufacturing Plants. Retrieved from ScienceDirect: http://www.sciencedirect.com/science/article/pii/S1877050912005832Beyer, M. A., & Laney, D. (2012, June 21). The Importance of `Big Data`: A Definition. Retrieved from Gartner: https://www.gartner.com/doc/2057415Boagey, R. (2014). Connected Car – Big Data, Big Brother? Retrieved from Automotive World: http://www.automotiveworld.com/analysis/connected-car-big-data-big-brother/Cai, H., & Xu, M. (2013, July 19). Greenhouse Gas Implications of Fleet Electrification Based on Big Data-Informed Individual Travel Patterns. Retrieved from ACS Publications: http://pubs.acs.org/doi/abs/10.1021/es401008fCai, X., Nie, F., & Huang, H. (2013). Multi-View K-Means Clustering on Big Data. University of Texas at Arlington, p. 7.Cassandra, P. (2014). what-is-nosql. Retrieved from Planet Cassandra: http://planetcassandra.org/what-is-nosql/cbkcuhk. (2013, September 12). BIG DATA: THE NEXT BIG TREND TO WATCH. Retrieved from CUHK: http://cbkcuhk.wordpress.com/2013/09/12/big-data-the-next-big-trend-to-watch/China Smart Logistic Network. (2013, June 9). Retrieved from WikiPedia: http://en.wikipedia.org/wiki/China_Smart_Logistic_NetworkChina Smart Logistic Network. (2013). Retrieved from Wikipedia: http://en.wikipedia.org/wiki/China_Smart_Logistic_NetworkChiu, K.-H., Fang, W.-C., & Wang, C.-C. (2005, 3). Using Mobile Communication Technology to Improve Automobile Consumers` Values-A Location Based Commerce Case Study of Taiwan Yulon Nissan`s TOBE Service. Electronic Commerce Studies, pp. 57-77.CitiBikeFiner. (2014). New York City Bike Share (Citi Bike). Retrieved from BIGAPPS NYC 2014: http://citibikefinder.splashthat.com/Collins, B. (2006, April 1). Car pooling a key part of the solution to commuting problems. Retrieved from Labour: http://www.labour.ie/press/2006/04/01/car-pooling-a-key-part-of-the-solution-to-commutin/Department of Transportation, T. G. (2014). Taipei e-bus System. Retrieved from My E Government: http://www.e-bus.taipei.gov.tw/new/english/en_index_6_1_1_1.htmlEkkebus, S.-P., Fokkinga, M. M., & Meratnia, N. (2004). Real-time location-based services for running races. Faculty of Electrical Engineering, Mathematics and Computer Science (p. 6). Netherlands: University of Twente.Fulco, M. (2013, Sep 24). ALL HAIL ALIBABA. Retrieved from CKGSB Knowledge: http://knowledge.ckgsb.edu.cn/2013/09/24/china-business-strategy/all-hail-alibaba/General-Motor. (2014). ON Star. Retrieved from General Motor: http://www.gm.com/vision/design_technology/onstar_safe_connected.htmlGeographic information system. (2014). Retrieved from Wikipediasss: http://en.wikipedia.org/wiki/Geographic_information_systemGlobal Positioning System. (2014). Retrieved from Wikipedia: en.wikipedia.org/wiki/Global_Positioning_SystemGoldberg, M. (2013, July 1). Subscribe to Data Informed. Retrieved from DATAInformed: http://data-informed.com/saps-twogo-app-combines-data-design-to-address-carpool-challenge/Goodchild, M. F. (2009). LOCATION-BASED SERVICES. Journal of Location Based Services. Retrieved from http://www.geog.ucsb.edu/~good/Goodchild-CV.html: http://www.geog.ucsb.edu/~good/papers/471.pdfHartmann, P. M., Zaki, M., Feldmann, N., & Neely, A. (2014, March). Big Data for Big Business. University of Cambridge, p. 30. Retrieved from http://www.cambridgeservicealliance.org/uploads/downloadfiles/2014_March_Data%20Driven%20Business%20Models.pdfHere (Nokia). (2014, June 21). Retrieved from WikiPedia: http://en.wikipedia.org/wiki/Here_(Nokia)Huang, S., Cai, L., Liu, Z., & Hu, Y. (2012). Non-structure Data Storage Technology. IEEE Computer Society. Washington, DC USA: The Association for Computing Machinery.Intelligent transport systems. (2014). Retrieved from Mobility and Transport: http://ec.europa.eu/transport/themes/its/consultations/2014-03-14-rtti_en.htmJensen, C. S., Friis-Christensen, A., Pedersen, T. B., Pfoser, D., Saltenis, S. ˇ., & Tryfona, N. (2003, June). Location-Based Services—A Database Perspective. Department of Computer Science, Aalborg University, p. 10.Kanaracus, C. (2013, April 29). SAP launches ride-sharing app TwoGo. Retrieved from PCWorld: http://www.pcworld.com/article/2036609/sap-launches-ridesharing-app-twogo.htmlKock, J. d. (2003). Utilisation of mobile technology for field data management in land administration. faculty of earth and sciences.Kwan, M.-P. (2001). Analysis of LBS-Derived Data for Social Scientists. Department of Geography, Ohio State University.Larson, C. (2013, May 29). In China, Big Data Is Becoming Big Business. Retrieved from Bloomberg Businessweek Technology: http://www.businessweek.com/articles/2013-05-29/in-china-big-data-is-becoming-big-businessLaValle, S., Lesser, E., & Shockley, R. (2011). Big Data, Analytics and. MIT SLOAN MANAGEMENT REVIEW.Location-based service. (2014, June 18). Retrieved from WIKIPEDIA The Free Encyclopedia: http://en.wikipedia.org/wiki/Location_based_serviceManohar, N. (2013, Sep 04). Why Big Data is All Important for the Auto World Now . Retrieved from FROST SULLIVAN: http://www.frost.com/c/10046/blog/blog-display.do?id=2984216McGuire, T., Manyika, J., & Chui, a. M. (2012, July). Why Big data is the new competetitive advantage. Retrieved from Ivey Business journal: http://iveybusinessjournal.com/topics/strategy/why-big-data-is-the-new-competitive-advantage#.U7WEMPmSxOtMongoDB, I. (2014). Big Data Explained. Retrieved from MongoDB, Inc.: http://www.mongodb.com/big-data-explainedMorten, K. (2005, Nov 14). Data Management Support for Location Based Services. Retrieved from Centre for Pervasive Computing: http://www.pervasive.dk/projects/LBS/LBS_themes.htmMullich, J. (2012, Dec 10). New Meaning to Old Products. Retrieved from The Wall Street Journal: http://online.wsj.com/ad/article/datamanagement-innovationNadi, S., & Delavar, M. R. (2010, July 15). LOCATION-BASED SERVICE FOR in vehicle route GUIDANCE WITH REAL TIME TRAFFIC INFORMATION. 1GIS Laboratory, p. 10.O`Brien, O. (2013). (Visualization of the Week: NYC Citi Bike use, in real time / Radar) Retrieved from http://strata.oreilly.com/2013/06/visualization-of-the-week-nyc-citi-bike-use-in-real-time.htmlO`Brien, O. (2014). More Cities, More Bikes, More Data Bikesharing Global Update. http://www.casa.ucl.ac.uk/. Retrieved from https://docs.google.com/file/d/0Bz-cFgbMasEcN283RzNJOHA2NVU/editOsterwalder, A., Pigneur, Y., Smith, A., Clark, T., & Pijl, P. v. (2009). Business Model Generation: A business model template. Retrieved from BusinessModelGeneration: http://www.businessmodelgeneration.com/downloads/businessmodelgeneration_preview.pdfOTTAWA. (2006). Yulon Nissan Motors Chooses QNX for Next-Generation Telematics System in Taiwan. Retrieved from QNX: http://www.qnx.com/news/pr_1911_1.html?lang=deQiang, N. (2012). Using cloud technology to deliver quality taxi services. Taiwan, Taipei: Intel.Rodrigues, T. (2012, Dec 4). (TechRepublic / 10 emerging technologies for BigData) Retrieved from http://www.techrepublic.com/blog/big-data-analytics/10-emerging-technologies-for-big-data/Sabrina. (2013, Nov 15). 60 Million Packages Processed on China’s Bachelor’s Day. Retrieved from China Internet Watch: http://www.chinainternetwatch.com/4735/60-million-packages-processed-on-chinas-bachelors-day/Schiller, J., & Voisard, A. (2004). Location-based Services. Retrieved from Itä-Suomen yliopisto: http://cs.uef.fi/pages/franti/lami/papers/Book-Location-based%20Services.docShamah, D. (2014, Jan 15). How big data means big changes for location-based services. Retrieved from ZDNet: http://www.zdnet.com/how-big-data-means-big-changes-for-location-based-services-or-at-least-save-your-battery-life-7000025076/Shanshan, W. (2013, May 21). Alibaba Intending to Dig Deep for E-commerce Gold. Retrieved from Caixin Online: http://english.caixin.com/2013-05-21/100530799.htmlSIRI. (2014, April 19). Retrieved from WikiPedia: http://en.wikipedia.org/wiki/Service_Interface_for_Real_Time_InformationSMITH, G. (2014, March 1). Pedaling into the Future. Retrieved from Taiwan Review: http://taiwanreview.nat.gov.tw/ct.asp?xItem=214286&ctNode=1206&mp=1Spiekermann, S. (2004). General Aspects of Location-based Services. (p. 18). Berlin: Humboldt university.Stepney, C. (2014). BIG DATA, BIG INSIGHTS. Retrieved from sdg BLOG: http://solutiondesign.com/big-data-big-insights-2/Supstat. (2013). CITIBIKE DATA COLLECTION, PREDICTION AND APPLICATION WITH R. Retrieved from supstat analytics: http://www.supstat.com/consulting/TomTom. (2014). about TomTom. Retrieved from TOMTOM: http://corporate.tomtom.com/VeriFone. (2014). Fleet Management. Retrieved from VeriFoness: http://www.verifone.com/industries/taxi/fleet-management/Virrantaus, K., Veijalainen, J., Markkula, J., Katanosov, A., Garmash, A., Tirri, H., & Tirri, H. (2002, Oct 10). Developing GIS-Supported Location-Based Service. Kharkov National University of Radioelectronics (KNURE), p. 10.Wang, B. (2008). Mobile Location-Based Services in New Zealand. (p. 60). School of Computing and Mathematical Sciences Faculty of Design and Creative Technologies.WebMapSolution. (2012). Mobile Location Apps Review. Retrieved from Web Map Solution Location Technology Experts: http://www.webmapsolutions.com/mobile-location-appswikitude. (2014). wikitude. Retrieved from wikitude: http://www.wikitude.com/Zhang, D., He, T., Liu, Y., & Stankovic, J. (2013). CallCab: A unified recommendation system for carpooling and regular taxicab services. Retrieved from IEEE Xplore: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6691605&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6691605Zipf, A. (2008, Apr 24). User-Adaptive Maps for Location-Based Service (LBS) for Tourism. European Media Laboratory– EML, Heidelberg, Germany.包研. (2012, Dec 1). (csdn, 百度大數據平台介紹) Retrieved from http://www.csdn.net/article/a/2012-12-01/2812397包研. (2012, Dec 1). (csdn.net / 大数据探索-阿里巴巴数据交换平台) Retrieved from http://www.csdn.net/article/a/2012-12-01/2812396吳韻萱. (2014, June 30). YouBike的雲端軍師 微程式打通傳產創新任督二脈. Retrieved from 智邦生活館: http://www.url.com.tw/blog/?p=33724杜胤廣. (2014, March 21). YouBike行動 APP 用 RFID 打造智慧生活. Retrieved from 3S Market 台灣醒報: http://3smarket-info.blogspot.tw/2014/03/youbike-app-rfid.html zh_TW
