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系統識別號 U0026-2801201314151500
論文名稱(中文) 自行車騎士自行車道選擇行為偏好異質性之研究
論文名稱(英文) Exploring taste heterogeneity in cyclists’ bike path choice behavior
校院名稱 成功大學
系所名稱(中) 交通管理學系碩博士班
系所名稱(英) Department of Transportation & Communication Management Science
學年度 101
學期 1
出版年 102
研究生(中文) 陳佩君
研究生(英文) Pei-Chun Chen
學號 R58961069
學位類別 博士
語文別 中文
論文頁數 115頁
口試委員 指導教授-陳勁甫
口試委員-邱裕鈞
口試委員-溫傑華
口試委員-呂錦隆
口試委員-胡大瀛
口試委員-蔡東峻
口試委員-林佐鼎
中文關鍵字 遊憩專門化  風險認知  異質性  潛在群體模式  潛在變數選擇模式 
英文關鍵字 Risk perception  Recreation specialization  Heterogeneity  Latent class logit  Latent variable choice model 
學科別分類
中文摘要 近年來溫室效應、全球暖化等問題,永續運輸已成為在做運輸規劃及研究重要的議題。因此,自行車此種無公害的交通工具,逐漸成為現代人選擇運具的另一種的選擇。為了發展永續運輸,世界各國開始朝向發展低碳城市,推廣低污染、省能源又兼具運動休閒特性之綠色運具-自行車作為通勤的運具。自行車除了具有交通的功能,還兼具休閒觀光的功能,尤其在台灣騎乘自行車的休閒風氣非常盛行,自行車已不只是一種交通工具,更成為另一種新的觀光型態-自行車觀光。中央及地方政府近年來積極建設自行車道,因此,應該了解不同旅次自行車騎士對於自行車道設施的需求。
本研究透過敘述性偏好法針對休閒型自行車騎士及通勤型自行車騎士分別探討對自行車道服務屬性及路線選擇的偏好。應用混合羅吉特模式(Mixed logit model)與潛在群體模式(Latent Class Model, LCM)估計不可觀測的異質性偏好。運用潛在變數選擇模式(Latent Variable Choice Model, LVCM)考量潛在變數(遊憩專門化、風險認知)對自行車道選擇偏好影響。研究結果發現不論是休閒型或通勤型自行車騎士皆偏好自行車專用道路,也顯示安全性是自行車騎士在選擇自行車道時重要的考量。透過不同模式的估計可以了解不同異質性的來源,結果實證了自行車騎士對自行車道路線選擇的異質性。
英文摘要 With increasing awareness of global warming and environmental protection issues, more and more people are inclined to utilize a green mode of transportation during their travels. With this context, non-motorised forms of transport such as cycling have become more environmental sustainable mode choice to travel destination. Developing sustainable transport systems has become an important goal in transportation planning and research in recent decades. Many cities in the world now aim to become low carbon cities and focus on strategies to reduce car use and promote low carbon transportation modes, such as cycling, for commuting and recreational purposes.
To achieve this goal, better understanding cyclists’ preferences for cycling facilities, e.g., bicycle routes, is necessary. This study focuses on commuting and recreational cyclists’ bike path choice behavior, and explores the issue of taste heterogeneity by applying the Mixed logit model (ML) and latent class model (LCM). In addition, the latent variable choice model (LVCM) is adopted to capture the impact of latent variable on cyclists’ route choice behavior in this study.
論文目次 目 錄 I
表目錄 IV
圖目錄 VI
第一章 緒論 1
1.1研究背景 1
1.2 研究動機 2
1.3研究目的 5
1.4研究範圍與對象 5
1.5研究流程 5
1.6研究架構 7
第二章 文獻回顧 8
2.1國內外自行車道發展 8
2.1.1 國內自行車道發展 8
2.1.2 國外自行車道發展 10
2.2 自行車道選擇行為 12
2.2.1 小結 18
2.3個體異質性 19
2.4 考慮潛在變數之選擇行為 22
2.5 遊憩專門化 24
2.5.1遊憩專門化定義 24
2.5.2遊憩專門化構面衡量 25
2.5.3遊憩專門化應用 26
2.6風險認知 27
2.6.1 風險認知定義 27
2.6.2 風險認知衡量 28
第三章 研究方法 30
3.1 個體選擇模式 30
3.2多項羅吉特模式 32
3.2.1 參數估計 32
3.2.2 模式限制 33
3.2.3檢定概似比指標 33
3.3混合羅吉特模式 34
3.4潛在變數選擇模式 35
3.5潛在群體模式 38
3.5.1 群體區隔數決定指標 39
3.6敘述性偏好法 40
3.6.1敘述性偏好法理論 40
3.6.2敘述性偏好法之實驗設計 41
3.6.3參數估計方式 41
第四章 休閒型自行車騎士路線選擇行為(研究一) 43
4.1模式建構 43
4.2前測問卷 45
4.3方案屬性水準值設計 46
4.4實驗設計 47
4.5 遊憩專門化構面衡量 51
4.6問卷設計與抽樣 52
4.7問卷樣本特性分析 53
4.8遊憩專門化特性分析 54
4.9模式變數設定 56
4.10多項羅吉特模式分析結果 59
4.11潛在變數選擇模式分析結果 61
4.12 混合羅吉特模式分析結果 64
4.13潛在群體模式分析結果 66
4.14小結與建議 67
4.14.1 小結 67
4.14.2 建議 69
第五章 通勤型自行車騎士路線選擇行為(研究二) 70
5.1模式建構 70
5.2前測問卷 72
5.3方案屬性水準值設計 72
5.4 實驗設計 74
5.5 風險認知衡量 76
5.6問卷設計與抽樣 77
5.7問卷樣本特性分析 78
5.8風險認知特性分析 79
5.9模式變數設定 80
5.10多項羅吉特模式分析結果 82
5.11潛在變數選擇模式分析結果 83
5.12混合羅吉特模式分析結果 86
5.13潛在群體模式分析 88
5.13 小結與建議 89
5.13.1 小結 89
5.13.2建議 91
第六章 總結 92
6.1結果比較 92
6.2結論 94
6.3研究貢獻 95
6.4研究限制及未來研究方向 95
參考文獻 97
附錄一 103
附錄二 104
附錄三 105
附錄四 107
附錄五 111
附錄六 113

參考文獻 中文文獻
交通部統計處(2009),2009年自行車使用狀況調查報告: http://www.motc.gov.tw/ch/home.jsp?id=56&parentpath=0,6。
交通部統計處(2011),100年民眾日常使用運具狀況調查報告: http://www.motc.gov.tw/ch/home.jsp?id=54&parentpath=0,6
交通部運輸研究所(1999),腳踏車專用道之規劃研究: http://www.iot.gov.tw/ct.asp?xItem=5467&ctNode=1448。
交通部運輸研究所(2009),自行車道系統規劃設計參考手冊: http://www.iot.gov.tw/ct.asp?xItem=491202&ctNode=1448。
行政院體育委員會(2002),台灣地區自行車道系統規劃與設置: http://grbsearch.stpi.narl.org.tw/GRB。
行政院經濟建設委員會(2007),人本交通運輸系統規劃及示範案例: http://www.cepd.gov.tw/m1.aspx?sNo=0010117。

英文文獻
Allen-Munley, C., Daniel, J. & Dhar, S. (2004) Logistic model for rating urban bicycle route safety. Transportation Research Record, 1878, 107-115.
Antonakos, C. L. (1994) Environmental and travel preferences cyclists. Transportation Research Record, 1438, 25-33.
Arunotayanun, K. & Polak, J. W.(2011) Taste heterogeneity and market segmentation in freight shippers’mode choice behaviour. Transportation Research Part E, 47(2), 138-148
Aultman-Hall, L. & Adams, M.F. (1998) Sidewalk bicycling safety issues. Transportation Research Record, 1636, 71-76.
Ben-Akiva, M., McFadden D., Abe, M., Böckenholt, U., Bolduc, D. Gopinath, D. Morikawa, T. ,Ramaswamy, V. ,Rao ,V. ,Revelt, D. &Steinberg, D. (1997) Modeling Methods for Discrete Choice Analysis. Marketing Letters, 8(3), 273-286.
Ben-Akiva, M., McFadden, D., Gärling, T., Gopinath, D., Walker, J., Bolduc,D., Börsch-Supan, A., Delquié, P., Larichev, O., Morikawa, T., Polydoropoulou, A., Rao, V. (1999) Extended Framework for Modeling Choice Behavior. Marketing Letters, 10(3), 187-203.
Ben-Akiva, M., McFadden, D., Train, K., Walker, J., Bhat, C., Bierlaire, M., Bolduc, D., Boersch-Supan, A., Brownstone, D., Bunch, D. S., Daly, A., De Palma, A., Gopinath, D., Karlstrom, A., & Munizaga, M. A. (2002) Hybrid Choice Models: Progress and Challenges. Marketing Letters, 13(3), 163-175.
Bovy, P. H. L. & Bradley, M. A. (1985) Route choice analyzed with stated preference approaches. Transportation Research Record, 1037, 11–20.
Bovy, P. H. L. & Stern, E. (1990) Route Choice:Way finding in Transport Networks, Dordrect, the Netherlands: Kluwer Academic Press.
Boxall, C. & Adamowicz, W. (2002) Understanding heterogeneous preferences in random utility models: a latent class approach. Environmental and Resource Economics, 23, 421-446.
Bricker, K. S. & Kerstetter, D. L. (2000) Level of specialization and place attachment: An exploratory study of whitewater recreationists. Leisure Sciences, 22, 233-257.
Bryan, H. (1977) Leisure value systems and recreational specialization: The case of trout fishermen. Journal of Leisure Research, 9(3), 174-187.
Buchanan, T. (1985) Commitment and leisure behavior: A theoretical perspective. Leisure Sciences, 7(4), 401-420.
Bhat, C. R. (1998) Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling. Transportation Research Part A, 32(7), 495-507.
C.R.O.W. (1993) Quicker by bicycle: Policy manual for a bicycle-friendly infrastructure. In, Michels, T. (ed) (1993) Cycling in the city, pedalling in the polder: Recent developments in policy and research for bicycle facilities in the Netherlands, CROW, Netherlands, 25-52.
Chang, H. L. & Chang, H. W. (2009) Exploring recreational cyclists' environmental preferences and satisfaction: experimental study in Hsinchu technopolis. Environment and Planning B: Planning and Design, 36, 319-335.
Chang, H. L. & Chang, H. W. (2005) Comparison between the differences of recreational cyclists in the national scenic bikeway and local bike lane, Journal of the Eastern Asia Society for Transportation Studies, 6, 2178-2193.
Cronbach, L. J. (1951) Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334.
Doherty, S. T., Aultman-Hall, L. & Swaynos, J. (2000) Commuter cyclist accident patterns in Toronto and Ottawa, Journal of Transportation Engineering, 126(1), 21-26.
Doherty, S. T., Aultman-Hall, L. & Swaynos, J. (2000) Commuter cyclist accident patterns in Toronto and Ottawa, Journal of Transportation Engineering, 126(1), 21-26.
Downward, P. & Lumsdon, L. (2001) The development of recreational cycle routes: an evaluation of user needs. Managing Leisure, 6, 50–60.
Dyck, C., Schneider, I., Thompson, M. & Virden, R. (2003) Specialization among mountaineers and its relationship to environmental attitudes. Journal of Park and Recreation Administration, 21(2), 44–62.
Emond, C.R., Tang, W. & Handy, S. L. (2009) Explaining gender difference in bicycling behavior. Transportation Research Record, 2125, 16–25.
Gopinath, D. A.(1995) Modeling Heterogeneity in Discrete Choice Processes: Application to Travel Demand. Ph.D. Dissertation, Massachusetts Institute of Technology.
Greene, W.H. & Hensher, D.A. (2003) A latent class model for discrete choice analysis: contrasts with mixed logit. Transportation Research Part B, 37(8), 681-698.
Guttenplan, M. & Patten, R. (1995) Off-road but on track:Using bicycle and pedestrian trails for transportation. Transportation Research News, 178, 7-11.
Hollenhorst, S., Schuett, M., Olson, D. & Chaves, D. (1995) An examination of the characteristics, preference, and attitudes of mountain bike users of the national forest, Journal of Park and Recreation Administration, 13, 41-51.
Hollenhorst, S., Schuett, M. A., Olson, D. & Chavez, D. (1995) An examination of the characteristics, preference, and attitudes of mountain bike users of the national forests. Journal of Park and Recreation Administration, 13(3), 41-51.
Hopkinson, P. & Wardman, M. (1996) Evaluating the demand for new cycle facilities. Transport Policy, 3(4), 433-439.
Hunt, J.D. & Abraham, J. E. (2007) Influences on bicycle use. Transportation, 34(4), 453-470.
Johansson, M.V., Heldt, T. & Johansson, P. (2006) The effects of attitudes and personality traits on mode choice. Transportation Research Part A, 40, 507-525.
McFadden, D. (1974) Conditional logit analysis of qualitative choice behavior. In frontiers in econometrics, Frontiers in Econometrics, 105-142.
McIntyre, N. & Pigram, J. J. (1992) Recreation specialization reexamined: The case of vehicle-based campers. Leisure Sciences, 14, 3-15.
Mclntyre, N. (1989) The Personal Meaning of Participation: Enduring Involvement. Journal of Leisure Research, 21 (2), 167-179.
Møller, M. & Hels, T. (2008) Cyclists’ perception of risk in roundabouts, Accident Analysis and Prevention, 40( 3), 1055-1062.
Noland, R. B. (1995) Perceived Risk and Modal Choice: Risk Compensation in Transportation Systems, Accident Analysis and Prevention, 27(4), 503-521.
Noland, R. B. & Kunreuther, H.(1995) Short-run and long-run policies for increasing bicycle transportation for daily commuter trips. Transport Policy, 2(1), 67-79.
Nunnallyn, J. C. (1978) Psychometric theory, New York: McGraw-Hill.
Osberg, J. S., Stiles, S. C. & Asare, O. K. (1998) Bicycle safety behavior in Paris and Boston, Accident Analysis and Prevention , 30(5), 679-687.
Parkin, J., Wardman, M. & Page, M. (2007) Models of perceived cycling risk and route acceptability. Accident Analysis and Prevention, 39, 364–371.
Pearmain, D. & Swanson, J. (1991) Stated preference techniques: a guide to practice, second edition, New York: Steer Davies Gleave.
Pucher, J. & Dijkstra, L.(2000) Making Walking and Cycling Safer: Lessons from Europe. Transportation Quarterly, 54(3), 25-50.
Raveau, S., Álvarez-Daziano R., Yáñez, M. F., Bolduc, D. & Ortúzar J. de D. (2010) Sequential and Simultaneous Estimation of Hybrid Discrete Choice Models: Some New Findings. Transportation Research Record, 2156, 131-139.
Rundmo, T., & Iversen, H. (2004) Risk perception and driving behaviour among adolescents in two Norwegian counties before and after a traffic safety campaign. Safety Science, 42, 1-21.
Scott, D. & Shafer, C. S. (2001) Recreation specialization: A critical look at the construct. Journal of Leisure Research, 33(3), 319-343.
Sener, N. I., Eluru , N. & Bhat, C. R. (2009) An analysis of bicycle route choice preferences in Texas, US, Transportation, 36, 511-539.
Short Jr, J. F. (1984) The social fabric of risk: towards the social transformation of risk analysis. Am. Sociol. Rev., 49, 711-725.
Slovic, P.(1987) Perception of risk. Science, 236, 280-285.
Teichert, T., Shehu, E. & Wartburg, I.v.(2008) Customer segmentation revisited: the case of the airline industry. Transportation Research Part A, 42, 227–242.
Tilahun, N.Y., Levinson, D.M. & Krizek , K. J. (2007) Trails, lanes, or traffic: Valuing bicycle facilities with an adaptive stated preference survey. Transportation Research Part A, 41 (4), 287-301.
Transport for London(2012) Transport for London : http://businessoffers.tfl.gov.uk/barclayscyclesuperhighways/about-the-scheme.html
Ulleberg, P. & Rundmo, T. (2003) Personality, attitudes and risk perception as predictors of risky driving behaviour among young drivers. Safety Science, 41, 427-443.
Walker, J. & Ben-Akiva, M. (2002) Generalized Random Utility Model. Mathematical Social Sciences, 43(2), 303-343.
Wardman, M., Tight, M. & Page, M. (2007) Factors influencing the propensity to cycle to work, Transportation Research Part A , 41, 339–35.
Wen, C.H. & Lai, S.C. (2010) Latent class models of international air carrier choice. Transportation Research Part E, 46 (2), 211-221.
Wen, C.H., Wang, W.C. & Fu, C. (2012) Latent class nested logit model for analyzing high-speed rail access mode choice. Transportation Research Part E, 48, 545-554.
Xing, Y., Handy, S. L. & Mokhtarian, P. L. (2010) Factors associated with proportions and miles of bicycling for transportation and recreation in six small US cities. Transportation Research Part D, 15(2), 73-81.
Yanez, M.F., Raveau, S. & Ortuzar, J. de D. (2010) Inclusion of latent variables in mixed logit models: modeling and forecasting. Transportation Research Part A, 44, 744-753.
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