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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林楨家(Jen-Jia Lin) | |
| dc.contributor.author | Qing-Qian Guo | en |
| dc.contributor.author | 郭晴茜 | zh_TW |
| dc.date.accessioned | 2022-11-23T09:20:32Z | - |
| dc.date.available | 2021-08-04 | |
| dc.date.available | 2022-11-23T09:20:32Z | - |
| dc.date.copyright | 2021-08-04 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-07-20 | |
| dc.identifier.citation | 參考文獻 Aguilera-García, Á., Gomez, J., and Sobrino, N. (2020). Exploring the adoption of moped scooter-sharing systems in Spanish urban areas. Cities, 96, 102424. Bamberg, S., Rölle, D., and Weber, C. (2003). Does habitual car use not lead to more resistance to change of travel mode? Transportation, 30(1), 97-108. Campbell, A. A., Cherry, C. R., Ryerson, M. S., and Yang, X. (2016). Factors influencing the choice of shared bicycles and shared electric bikes in Beijing. Transportation research part C: Emerging technologies, 67, 399-414. Cervero, R. (1989). Land-use mixing and suburban mobility. Transp. Q. 42 (3), 429–446. Cervero, R., and Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation research. part D, Transport and environment, 2(3), 199-219. Cervero, R., Sarmiento, O. L., Jacoby, E., Gomez, L. F., and Neiman, A. (2009). Influences of built environments on walking and cycling: lessons from Bogotá. International journal of sustainable transportation, 3(4), 203-226. Chang, H.-L., and Lai, C.-Y. (2015). Using travel socialization and underlying motivations to better understand motorcycle usage in Taiwan. Accident analysis prevention, 79, 212-220. Chang, H.-L., and Wu, S.-C. (2008). Exploring the vehicle dependence behind mode choice: Evidence of motorcycle dependence in Taipei. Transportation research part A: Policy and practice, 42(2), 307-320. Cox, D. R. (1972). Regression models and life‐tables. Journal of the royal statistical society: Series B (Methodological), 34(2), 187-202. Degele, J., Gorr, A., Haas, K., Kormann, D., Krauss, S., Lipinski, P., ... and Hertweck, D. (2018, June). Identifying E-scooter sharing customer segments using clustering. In 2018 IEEE international conference on Engineering, Technology and innovation (ICE/ITMC) (pp. 1-8). IEEE. Eccarius, T., and Lu, C.-C. (2018). Exploring consumer reasoning in usage intention for electric scooter sharing. Transp. Plan. J. 運輸計劃季刊, 47(4), 271-295. Howe, E. and Jakobsen, F.J. (2020) Global scooter sharing market report 2019, Retrieved on March 25, 2020 from https://share.unumotors.com/global-mobility-sharing-market-report Howe, E. (2019) Global Scootersharing market report 2018, Retrieved on February 17, 2020 from https://www.motoservices.com/media/attachments/global-scootersharing-market-report- 2018.pdf Hsu, T.-P., Sadullah, E. A. F. M., and Dao, I. N. X. (2003). A comparison study on motorcycle traffic development in some Asian countries–case of Taiwan, Malaysia and Vietnam. Retrieved on March 19,2020 from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.460.2229 rep=rep1 type=pdf Jiao, J., and Bai, S. (2020). Understanding the shared e-scooter travels in Austin, TX. ISPRS International journal of geo-Information, 9(2), 135-147. Kerr, D. (2018). Electric scooters are invading. Bird's CEO leads the charge, Retrieved on July 1, 2020 from https://www.motoservices.com/media/attachments/global-scootersharing-market-report- 2018.pdf Khan, M., and Machemehl, R. (2017). The impact of land-use variables on free-Floating carsharing vehicle rental choice and parking duration. In P. Thakuriah, N. Tilahun, M. Zellner (Eds.), Seeing cities through big data: Research, Methods and applications in urban informatics (pp. 331-347). Cham: Springer International Publishing. Khattak, A., Wang, X., Son, S., and Agnello, P. (2011). Travel by university students in Virginia: Is this travel different from travel by the general population? Transportation research record, 2255(1), 137-145. Kotler, P., and Armstrong, G. (2010). Principles of marketing. Australia: Pearson Australia. Lai, W.-T., Lu, J.-L. (2007). Modeling the working mode choice, ownership and usage of car and motorcycle in Taiwan. Journal of the eastern Asia Society for transportation studies, 7, 869-885. McKenzie, G. (2019). Spatiotemporal comparative analysis of scooter-share and bike-share usage patterns in Washington, D.C. Journal of Transport Geography, 78, 19-28. Moran, P. A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17-23. Parsa, A. B., Bakhtiari, A., Habibian, M., and Mohammadian, A. (in press). Survival analysis motorcycle parking in workplace-tours. International journal of transportation science and technology.9(4), 355-365 Shaheen, S., Cohen, A., Chan, N., and Bansal, A. (2020). Chapter 13 - Sharing strategies: carsharing, shared micromobility (bikesharing and scooter sharing), transportation network companies, microtransit, and other innovative mobility modes. In E. Deakin (Ed.), Transportation, land use, and environmental planning (pp. 237-262). doi:10.1016/B978-0-12-815167-9.00013-X Shaheen, S., Martin, E., and Cohen, A. (2013). Public bikesharing and modal shift behavior: a comparative study of early bikesharing systems in North America. International Journal of Transportation 1(1),35-54. Shirgaokar, M. (2016). Expanding cities and vehicle use in India: Differing impacts of built environment factors on scooter and car use in Mumbai. Urban studies, 53(15), 3296-3316. Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economic geography, 46(sup1), 234-240. Tukey, J. W. (1977). Exploratory data analysis, Retrieved on August 1, 2020 from http://theta.edu.pl/wp-content/uploads/2012/10/exploratorydataanalysis_tukey.pdf Washington, S., Karlaftis, M. G., Mannering, F., and Anastasopoulos, P. (2020). Statistical and econometric methods for transportation data analysis. London, England: Chapman and Hall/CRC. Younes, H., Zou, Z., Wu, J., and Baiocchi, G. (2020). Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C. Transportation research part A: Policy and practice, 134, 308-320. 林堉楠, 徐媛, 杨家文. (2020). 轨道交通车站周边建成环境对骑行的影响——基于深圳市ofo数据的实证研究. 城市交通, 18(01), 83-94+58. 高枫, 李少英, 吴志峰, 吕帝江, 黄冠平, 刘小平. (2019). 广州市主城区共享单车骑行目的地时空特征与影响因素. 地理研究, 38(12), 2859-2872. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80002 | - |
| dc.description.abstract | 無樁式共享電動機車有益於減緩溫室氣體的排放、降低對都市的噪音污染、減少私人機車的持有數、滿足都市旅運者「第一哩路」和「最後一哩路」的需求,這些益處都有助於永續城市的推動。然而目前研究文獻上相當有限,爲增加對此類運具的認識,本研究使用無樁式共享電動機車營運業者W公司(匿名處理)所提供去識別化後的共享機車全球定位系統點位資料,估計每部機車的閒置時間,運用Cox比例風險模型進行實證分析,探究建成環境對無樁式共享電動機車閒置時間的影響。考量到路網分佈對都市旅運者步行取車的影響,本研究採用ArcMap的服務範圍功能套曡路網分佈估計建成環境範圍,並且探討建成環境對無樁式共享機車被借可能性的影響在不同時段(工作日尖峰、離峰或週末)及不同空間範圍(200公尺、500公尺或800公尺)的差異性。 由於本研究是以無樁式共享機車閒置時的服務範圍量測建成環境,所以3Ds的建成環境分類方式更適合本研究,但實質上仍然包含了5Ds建成環境所考量到的因素,本研究將至大衆運輸距離調整爲計算服務範圍内的各類公共運輸密度與多樣性,將迄點可及性轉換爲計算服務範圍内可能作爲起迄點的場所密度,除此之外,本研究的建成環境多樣性不僅僅只考量土地利用的多樣性,也考量建成環境中公共運輸多樣性對無樁式共享電動機車閒置時間的影響。實證分析有三個主要成果:第一,建成環境會從密度、多樣性和設計三個方面影響無樁式共享電動機車被借走的可能性;第二,不同的時段或不同的建成環境計算尺度會造成建成環境對無樁式共享電動機車閒置時間的影響會有差異;第三,在工作日時段,都市公共運輸系統與無樁式共享電動機車為互補關係。上述成果有助於共享運具學理知識的建置,也有益共享機車業者經營管理策略的發展。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-23T09:20:32Z (GMT). No. of bitstreams: 1 U0001-2007202110010300.pdf: 4008216 bytes, checksum: 160472743147ca360b913bf5fcd56aa0 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 目錄 口試論文審定書 i 誌謝 ii 摘要 iii Abstract iv 目錄 vi 圖目錄 viii 表目錄 ix 第一章 緒論 1 第一節 研究動機與目的 1 第二節 研究範疇 2 第二章 文獻回顧 6 第一節 無樁式共享運具與建成環境 6 第二節 私人機車使用影響因素 13 第三節 綜合評析 16 第三章 研究設計 21 第一節 課題研析 21 第二節 假說研提 29 第三節 分析方法 40 第四章 資料蒐集與分析 49 第一節 抽樣與資料蒐集 49 第二節 描述性統計 59 第三節 相關性分析 71 第五章 實證分析 88 第一節 模型估計 88 第二節 假説驗證 106 第三節 意涵討論 112 第六章 結論與建議 122 第一節 結論 122 第二節 建議 124 參考文獻 127 | |
| dc.language.iso | zh-TW | |
| dc.subject | 建成環境 | zh_TW |
| dc.subject | 無樁式共享機車 | zh_TW |
| dc.subject | 閒置時間 | zh_TW |
| dc.subject | 存活分析 | zh_TW |
| dc.subject | built environment | en |
| dc.subject | free-floating moped scooter-sharing | en |
| dc.subject | available duration | en |
| dc.subject | survival analysis | en |
| dc.title | 建成環境對無樁式共享電動機車閒置時間的影響 | zh_TW |
| dc.title | Built Environment Effects on Available Duration of Shared Electric Free-floating Moped Scooters | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 溫在弘(Hsin-Tsai Liu),許聿廷(Chih-Yang Tseng) | |
| dc.subject.keyword | 無樁式共享機車,閒置時間,存活分析,建成環境, | zh_TW |
| dc.subject.keyword | free-floating moped scooter-sharing,available duration,survival analysis,built environment, | en |
| dc.relation.page | 129 | |
| dc.identifier.doi | 10.6342/NTU202101587 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2021-07-20 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 地理環境資源學研究所 | zh_TW |
| 顯示於系所單位: | 地理環境資源學系 | |
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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-2007202110010300.pdf | 3.91 MB | Adobe PDF | 檢視/開啟 |
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