請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99009完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 許聿廷 | zh_TW |
| dc.contributor.advisor | Yu-Ting Hsu | en |
| dc.contributor.author | 賴弈妘 | zh_TW |
| dc.contributor.author | Yi-Yun Lai | en |
| dc.date.accessioned | 2025-08-20T16:38:21Z | - |
| dc.date.available | 2025-08-21 | - |
| dc.date.copyright | 2025-08-20 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-08-18 | - |
| dc.identifier.citation | Adamos, G. and Nathanail, E. (2022). Evaluating passenger perceptions of transfer experience in multimodal hubs. European Transport Research Review, 14(3):29–42.
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Technicalreport, 交通部, 臺北市. 中華民國 114 年 6 月. 內政部 (2024). 113 年「300 億元中央擴大租金補貼專案計畫」. 中華民國 113 年. 吳彥葶 (2022). 租屋市場之租金與住宅品質知多少?. 都市計劃, 49(3):317–339.Journal of City and Planning. 教育部 (2024). 113 年 2 月起實施「大專校院學生校內住宿補貼」方案減輕學生住宿經濟負擔. 中華民國 113 年. 林宗弘 (2020). 移動的階級不平等. 台灣社會研究季刊, 120:1–47. 林彥廷 (2022). 移動的階級不平等:從交通正義觀點反思臺灣的交通政策.臺灣社會研究季刊, (125):45–78. 溫珮如 (2012). 家戶自行車持有與使用行為選擇模式之構建. Master’s thesis, 國立臺灣大學, 臺北市. 臺灣博碩士論文知識加值系統. 臺北市公共運輸處 (2016). 臺北市轉乘設施服務提升計畫. Retrieved from https://www.pto.gov.taipei. 莊博宇 (2024). 高房價時代下青年世代居住與通勤行為之選擇探討. 碩士論文, 國立臺灣大學工學院土木工程學系, 臺北市. 邱裕鈞, 溫傑華, 陳韋穎, 王穆衡, 傅強, 曾幸敏, and 林育瑄 (2014). 旅運者運具選擇行為異質性之研析:混合羅吉特模式之應用 [modeling mode choice behaviors byusing mixed logit models]. 運輸計劃季刊, 43(2):143–171. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99009 | - |
| dc.description.abstract | 雙北地區房租持續攀升且大多大專院校之校內宿舍供給不足,學生為尋求可負擔的居住空間,常需以長時間或高風險的通勤行為來換取更低廉的租屋成本。這種「以通勤成本換取租金可負擔性」的模式,反映了學生在租屋與通勤選擇上所面臨的不公平現象,也促使本研究欲探討在租金高漲與通勤負擔下學生族群的聯合決策行為。
本研究針對學生族群的「居住地點與通勤運具」聯合選擇行為,採用敘述性偏好調查並結合多項羅吉特(MNL)、巢式羅吉特(NL)與潛在類別模型(LCCM)之研究方法。相較傳統模型假設所有學生偏好一致,本研究期能透過潛在類別模型(LCCM),分析學生對於租屋與運具選擇時的偏好,亦納入學生之個人社經條件。模型結果顯示具有顯著差異的四類學生族群偏好,也證實不同社經背景的確會影響其租屋與通勤決策。包含偏好低租金且願容忍通勤不便者、低成本導向者、家庭資源有限但偏好高通勤效率者,以及家庭收入高但可支配所得較低的女性群體等,可以發現學生之家庭經濟條件與個人可支配資源、性別等均會影響了其居住與通勤抉擇,進一步呼應文獻中有關「高教育潛能-低經濟資本」學生族群所面對的交通與居住不平等問題,亦補足以往研究多侷限於購屋者與家庭單位,而忽略學生租屋行為之限制。 本研究遂根據研究成果提出相關建議,著重在減輕學生負擔並提升居住與通勤公平性上,建議政策可以從「租屋可負擔性」與「交通系統可及性與便利性」兩方面著手。本研究認為,未來若要實行相關政策,宜針對學生群體推行其專用的 TPASS 通勤月票或相關補貼方案,讓學生以更低成本使用公共運輸。此外,現行租屋補貼制度,也可以根據學生通勤模式差異採取分級補貼,例如:使用大眾運輸通學者可獲較高額度的租金補貼,以鼓勵其持續使用公共運輸;相對地,使用私人機動車輛者則降低補貼或不額外補貼,以將其外部成本內部化。總而言之,學生居住與通勤問題並非個人選擇所致,而是資源分配與政策架構下的產物,唯有從宿舍供給、運輸票證到租金補貼制度進行全盤檢討改革,方能實現學子應有的居住正義與交通公平。 | zh_TW |
| dc.description.abstract | In the Greater Taipei Metropolitan Area, rental prices have continued to rise while on-campus housing supply at most universities remains insufficient. As a result, students in search of affordable accommodations are often compelled to exchange lower rent for longer or higher-risk commuting. This pattern—trading commuting burdens for rental affordability—not only highlights the structural inequality faced by students in their housing and transport decisions, but also serves as the central motivation for this study, which aims to examine students’ joint decision-making behavior under the dual pressures of soaring rent and commuting burdens.
This research investigates university students’ joint choices of residential location and commuting mode through a stated preference survey and the application of three discrete choice modeling approaches: the Multinomial Logit (MNL), Nested Logit (NL), and Latent Class Choice Model (LCCM). Unlike conventional models that assume homogeneous preferences among individuals, the LCCM allows for the identification of latent heterogeneity in students' housing and transportation preferences while incorporating their socioeconomic characteristics. The model results reveal four distinct classes of students, each with significantly different preference structures. These include students who prefer lower rent and are willing to tolerate commuting inconveniences, those driven by cost-efficiency, students with limited family resources who prioritize commuting efficiency, and female students from high-income families but with low personal disposable income. These findings demonstrate that students’ housing and commuting decisions are shaped by a complex interplay between family economic background, personal financial capacity, and gender. The analysis thus echoes the literature that emphasizes the inequities experienced by students who possess high educational potential but limited economic capital, and also addresses the gap in existing research, which often focuses on homeowners and households while overlooking the unique constraints of student renters. Based on these empirical findings, this study proposes several policy recommendations centered on reducing student burdens and promoting housing and transport equity. Policies should simultaneously address “rental affordability” and the “accessibility and convenience of transport systems.” It is recommended that student-specific commuting subsidies, such as a dedicated TPASS monthly pass, be introduced to enable students to use public transit at lower costs. Moreover, the current rental subsidy program could be redesigned to account for differences in commuting patterns—for instance, offering higher subsidies to students who commute via public transport to encourage continued transit use, while reducing or excluding subsidies for those who rely on private motor vehicles in order to internalize external costs. In sum, students' residential and commuting decisions are not merely a matter of individual choice, but rather the outcome of structural limitations in resource allocation and policy design. Only through comprehensive reform of dormitory supply, fare subsidy systems, and housing support mechanisms can true housing justice and transportation equity for students be achieved. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-08-20T16:38:21Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-08-20T16:38:21Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 摘要 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i
Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii 目次 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii 圖次 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi 表次 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiii 第一章 緒論 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 研究背景與動機 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 研究問題與目的 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.3 研究範圍與對象 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.4 研究流程 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 第二章 文獻回顧 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.1 租屋市場現況與政策分析 . . . . . . . . . . . . . . . . . . . . . . . . 12 2.1.1 雙北市租屋市場與學校宿舍供給現況 . . . . . . . . . . . . . . . 12 2.1.2 租屋相關政策 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 2.2 運具使用之現況與政策分析 . . . . . . . . . . . . . . . . . . . . . . 18 2.2.1 全國日常運具使用概況 . . . . . . . . . . . . . . . . . . . . . . . 18 2.2.2 通勤與通學旅次現況 . . . . . . . . . . . . . . . . . . . . . . . . 21 2.2.3 運具選擇相關政策 . . . . . . . . . . . . . . . . . . . . . . . . . . 24 2.3 運具與租屋地點選擇相關文獻 . . . . . . . . . . . . . . . . . . . . . 27 2.3.1 運具選擇相關文獻 . . . . . . . . . . . . . . . . . . . . . . . . . . 27 2.3.2 居住地點選擇相關文獻 . . . . . . . . . . . . . . . . . . . . . . . 31 2.3.3 運具與居住地點聯合決策行為相關文獻 . . . . . . . . . . . . . . 34 2.4 文獻評析 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 第三章 研究方法 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .39 3.1 敘述性偏好(Stated Preference Method) . . . . . . . . . . . . . . . 40 3.2 個體選擇模式(Individual Choice Model) . . . . . . . . . . . . . . 42 3.2.1 多項羅吉特模型(Multinomial Logit, MNL) . . . . . . . . . . . 44 3.2.2 巢式羅吉特模型(Nested Logit Model, NL) . . . . . . . . . . . 46 3.2.3 潛在類別選擇模型(Latent Class Choice Model, LCCM) . . . . 48 3.3 小結 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 第四章 問卷調查與資料分析 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 4.1 研究調查之設計 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 4.2 問卷架構與內容設計 . . . . . . . . . . . . . . . . . . . . . . . . . . 57 4.2.1 第一部分:租屋與通勤現況調查 . . . . . . . . . . . . . . . . . . 57 4.2.2 第二部分:情境選擇實驗 . . . . . . . . . . . . . . . . . . . . . . 58 4.2.3 第三部分:基本社會經濟資料 . . . . . . . . . . . . . . . . . . . 65 4.3 調查執行與樣本整理 . . . . . . . . . . . . . . . . . . . . . . . . . . 66 4.4 樣本基本統計分析 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 4.4.1 基本敘述性統計分析 . . . . . . . . . . . . . . . . . . . . . . . . 67 4.4.2 情境模擬實驗分析 . . . . . . . . . . . . . . . . . . . . . . . . . . 70 第五章 實證分析 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 5.1 模式說明與轉換 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 5.2 模型變數設定說明 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 5.3 多項羅吉特模式 (MNL) 校估分析 . . . . . . . . . . . . . . . . . . . 81 5.3.1 多項羅吉特模式 (MNL) 模型建立 . . . . . . . . . . . . . . . . . 81 5.3.2 多項羅吉特模式 (MNL) 模型結果分析 . . . . . . . . . . . . . . . 82 5.3.3 多項羅吉特模式 (MNL) 模型小結 . . . . . . . . . . . . . . . . . 92 5.4 巢式羅吉特模式 (NL) 校估分析 . . . . . . . . . . . . . . . . . . . . . 94 5.4.1 巢式羅吉特模式 (NL) 模型建立 . . . . . . . . . . . . . . . . . . . 94 5.4.2 巢式羅吉特模式 (NL) 模型結果分析 . . . . . . . . . . . . . . . . 95 5.5 潛在類別選擇模式 (LCCM) 校估分析 . . . . . . . . . . . . . . . . . 99 5.5.1 潛在類別選擇模式(LCCM)模型建立 . . . . . . . . . . . . . . 99 5.5.2 潛在類別選擇模式 (LCCM) 模型結果分析 . . . . . . . . . . . . 101 5.5.3 潛在類別選擇模式 (LCCM) 模型小結 . . . . . . . . . . . . . . . 111 5.6 模式估計結果比較 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 第六章 結論與建議 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .115 6.1 研究結論 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 6.2 研究限制與建議 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 6.2.1 研究限制 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 6.2.2 研究建議 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 參考文獻 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 附錄 A — 情境設計 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 居住選擇 | zh_TW |
| dc.subject | 運具選擇 | zh_TW |
| dc.subject | 多項羅吉特模式 | zh_TW |
| dc.subject | 巢式羅吉特模式 | zh_TW |
| dc.subject | 潛在類別模型 | zh_TW |
| dc.subject | 異質性 | zh_TW |
| dc.subject | 租屋 | zh_TW |
| dc.subject | 機車使用 | zh_TW |
| dc.subject | Rental housing | en |
| dc.subject | Residential location choice | en |
| dc.subject | Preference heterogeneity | en |
| dc.subject | Mode choice | en |
| dc.subject | Multinomial Logit Model | en |
| dc.subject | Nested Logit Model | en |
| dc.subject | Latent Class Choice Model | en |
| dc.subject | Motorcycle use | en |
| dc.title | 探討高居住成本下學生租屋地點與運具選擇行為之潛在群體異質性分析 | zh_TW |
| dc.title | Exploring Rental Location and Mobility Choices among University Students: In the Era of High Housing Costs and Latent Group Heterogeneity | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 郭佩棻;張學孔 | zh_TW |
| dc.contributor.oralexamcommittee | Pei-Fen Kuo;Shyue-Koong Chang | en |
| dc.subject.keyword | 居住選擇,運具選擇,多項羅吉特模式,巢式羅吉特模式,潛在類別模型,異質性,租屋,機車使用, | zh_TW |
| dc.subject.keyword | Residential location choice,Mode choice,Multinomial Logit Model,Nested Logit Model,Latent Class Choice Model,Preference heterogeneity,Rental housing,Motorcycle use, | en |
| dc.relation.page | 151 | - |
| dc.identifier.doi | 10.6342/NTU202504263 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2025-08-18 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 土木工程學系 | - |
| dc.date.embargo-lift | 2025-08-21 | - |
| 顯示於系所單位: | 土木工程學系 | |
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