臺灣博碩士論文加值系統

車輛持有之時間變數如持有期間與報廢車齡，對於研擬運輸規劃、運輸管理、環境保護，甚至交通安全改善等策略至為重要，國外多數有關車輛期間變數之研究係針對汽車，探討機車者十分罕見。基於機車在許多亞洲國家呈現高持有與使用之現象，以及部分歐洲國家機車持有與使用近來有增加趨勢，探討機車期間變數具有研究上之重要意義。近年來國內研究社群逐漸重視機車持有之時間變量研究，但在研究設計、資料蒐集與分析方法上均存在諸多缺失，以致限制相關研究之可能應用性，其主因仍在於欲以縱斷面研究方法建立有效之期間變數，存在觀測時間長與成本高等困難度。
本研究期透過交通部統計處於民國89年所蒐集大規模機車使用狀況調查樣本，結合監理資料車籍登錄系統，以逾4年的時間追蹤所蒐集樣本之車籍異動狀態，確認三類期間變數，包括特定機車車主之持有時間、機車報廢車輛及車主購買二手車之購車車齡等，建立不同期間變數與車輛特性、機車使用、縣市總體經社與污染排放變數之關聯性。此外，國內部分機車之車籍登記資料可能存在不正確的現象，依據交通部統計處調查資料顯示，至少有11.8%的樣本已廢棄但並未完成報廢程序，顯示於本研究觀察期間中，部分尚未發生報廢或車主異動（轉手）等事件之設限資料，可能發生持有期間或車齡過度延長的現象，因此分析方法除採用常見之存活模式（或稱期間模式）外，特別引入分群期間模式進行修正，以提昇模式校估結果之正確性，並推估車籍登記資料中時間過度延長之比例。
研究結果顯示，車主若持有中古車、持有汽缸容量較小之機車、使用上有較高之行駛里程與維修成本，以及家戶中汽車與機車數量越少，均會降低所觀察機車之持有時間與報廢車齡；反之，車主年齡越大、所得較低，以及車籍登記在大台北地區則會延長機車之持有時間與報廢車齡。此外，縣市總體經社變數中，較高的地區失業率及較低的地區消費傾向，對於地區內機車之平均持有時間與報廢車齡均有延長的效果，而較佳之地區機車定檢排放績效，則有縮短機車報廢車齡之傾向。
透過分群期間模式之推估，機車持有時間變量中，約有21%的樣本之登記時間可能存在過度延長，機車報廢車齡變量之過度延長則約有47%的樣本，顯示未完成登錄之車籍資料比例甚高。研究最後對於與機車期間變數相關的顯著貢獻因子，提出可能的解釋與推論，並對本研究設計與模式應用之限制進行討論。本研究之結果對於加速老舊機車汰換、改善排氣定檢制度及車籍登錄系統等議題，具有重要之意涵。

Vehicle duration variables such as holding duration and scrappage age are crucial for transportation planning and management, environmental protection, and traffic safety improvements. Most studies on vehicle duration have been focused on automobiles, but comparatively little has been noted on motorcycles. However, it is valuable to put much emphasis on motorcycle duration studies due to the high ownership rate for many Asian countries and also the ownership increase in some European countries.
Some weaknesses in research design and methodology for the previous motorcycle duration studies have been identified. These drawbacks originate mainly from the difficulties and elevated cost in establishing qualified duration data. In this study, a combination of the MOTC’s sampling survey on motorcycle usage in 2000 with the corresponding registration information in the Vehicle Registration System (VRS) was developed. Via a four-more-years observation period, three different measurements for duration variables ─ motorcycle holding duration, scrappage age, and age of second-hand motorcycles purchased ─ can be observed. A Cox regression model was applied and two competing risks for ending motorcycle holding by disposal or by transfer were also estimated. However, around 11.8% of the samples have been discarded but not been registered in the VRS at the observation start. To reduce the bias from part of these censored data, we further applied a split-population duration model to correct the heterogeneity of holding duration and scrappage age.
The results indicated that a used motorcycle purchased, lower engine size, higher running mileage and maintenance cost, less motorcycle and less car fleet size in a household reduced both the holding duration and scrappage age; but in contrast, older owners, less monthly income, and a motorcycle registered in Greater Taipei extended the holding duration and scrappage age. Aggregate socioeconomic predictors such as higher unemployment rate and lower consumption propensity also increased the holding time and overall life span of district’s motorcycles. In addition, better emissions inspection performance of a district shortened the age of motorcycles being scrapped. The estimated split-population parameter showed that around 21% of observations for the holding duration and 47% for the scrappage age from the registration records had been prolonged censoring at the end of observation. Some policy implications connected with old motorcycles, emissions inspection, and vehicle registration system were raised and limitations about research design and modeling issues were also discussed.

Abstract (Chinese) i
Abstract iii
Acknowledgement v
Contents vi
List of Tables viii
List of Figures ix
Chapter 1 Introduction 1
1.1 Research Background 1
1.2 Motorcycle Licensing System and I/M Program in Taiwan 3
1.3 Research Objectives 5
1.4 Research Methods 6
1.5 Overview of Dissertation 9
Chapter 2 Literature Review 11
2.1 Implications of Different Types of Vehicle Duration Measurements 11
2.2 Vehicle Ownership Duration and Determinants 13
2.3 Vehicle Age and Pollutant Emissions 15
2.4 Motorcycle Age and Holding Duration 16
Chapter 3 Research Framework 21
3.1 Research Design for Duration Variables 21
3.2 Association Framework for Duration Variables and Determinants 23
Chapter 4 Methodology 27
4.1 Sample 27
4.2 Analytical Method 28
4.2.1 Survival Analysis 28
4.2.1.1 Event, Censoring, and Survival Time 28
4.2.1.2 Definition of Hazard Function 29
4.2.1.3 Competing Risk Approach 31
4.2.1.4 Cox Regression Model 33
4.2.1.5 Split-population Duration Model with Weibull Hazard Function 34
4.2.2 Logistic Regression Method 37
4.3 Model Specification and Hypotheses 38
Chapter 5 Results 47
5.1 Basic Statistics 47
5.1.1 Descriptive Statistics for Independent Variables 47
5.1.2 Differentiation of Regional Inspection Performance 48

5.1.3 Descriptive Statistics for Duration Variables 51
5.2 Estimated Results for Cox Regression Model 53
5.2.1 Motorcycle Ownership Duration 53
5.2.2 Motorcycle Scrappage Age 56
5.2.3 Age of Second-hand Motorcycle Purchased 59
5.3 Estimated Results for Split-population Duration Model 62
5.3.1 Motorcycle Ownership Duration 62
5.3.2 Motorcycle Scrappage Age 67
5.4 Estimated Results for Logistic Regression Model 71
5.4.1 Disposal/Transfer Event 71
5.4.2 Used/New Motorcycle Purchased 73
Chapter 6 Discussion 77
6.1 Estimated Holding Duration and Scrappage Age 77
6.2 Association of Hazard Ratio and Odds Ratio with Determinants 79
6.2.1 Association of Hazard Ratio 79
6.2.2 Association of Odds Ratio 87
6.3 Implications 91
6.4 Research Limitations 93
6.4.1 Research Design Issues 93
6.4.2 Future Modeling Issues 96
References 99
Vita 105

1.Allison, P. D. (1995) Survival analysis using the SAS system: A practical guide. SAS Institute Inc., Cary, NC, USA.
2.Anable, J., Boardman, B., Root, A. (1997) Travel Emission Profiles: A Tool for Strategy Development and Driver Advice. Environmental Change Unit Research Report 17, University of Oxford, Oxford.
3.Anilovich, I. and Hakkert, A. S. (1996) Survey of vehicle emissions in Israel related to vehicle age and periodic inspection. The Science of the Total Environment, 189/190, 197-203.
4.Association for Motorcycle Research Development and Safety Promotion (1999) Market survey report on Taiwan’s motorcycles. Taipei, Taiwan.
5.Bandopadhyaya, A. and Jaggia, S. (2001) An analysis of second time around bankruptcies using a split-population duration model. Journal of Empirical Finance, 8, 201-218.
6.Beydoun, M. and Guldmann, J. M. (2006) Vehicle characteristics and emissions: Logit and regression analyses of I/M data from Massachusetts, Maryland, and Illinois. Transportation Research D, 11, 59-76.
7.Bin, O. (2003) A logit analysis of vehicle emissions using inspection and maintenance testing data. Transportation Research Part D, 8, 215-227.
8.Chang, H. L. and Yeh, T. H. (2005) A hazard-based analysis of motorcycle holding duration. Taiwan’s Transportation Planning Journal Quarterly, 34, 443-468.
9.Chang, H. L. and Yeh, T. H. (2007). Motorcyclist accident involvement by age, gender, and risky behaviors in Taipei, Taiwan. Transportation Research Part F: Traffic Psychology and Behaviour, 10, 109-122.
10.Chen, C., and Lin, J. (2006). Making an informed vehicle scrappage decision. TRB 2006 Annual Meeting CD-ROM.
11.Chen, C. and Niemeier, D. (2005) A mass point vehicle scrappage model. Transportation Research Part B 39(5), 401-415.
12.Chiang, P. N. (2003) A duration model of motorcycles’ usage. Master’s thesis, Department of Transportation Management, Tamkang University.
13.Choo, S. and Mokhtarian, P. L. (2004). What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice. Transportation Research Part A, 38, 201-222.
14.De Jong, G. (1996) A disaggregate model system of vehicle holding duration, type choice and use. Transportation Research Part B, 30, 263-276.
15.De Jong, G., Fox, J., Daly, A., Pieters, M., and Smit, R. (2004) Comparison of car ownership models. Transport Review, 24, 379-408.
16.De Jong, G., Fox, J., Pieters, M., Vonk, L., and Daily, A. (2002) Audit of car ownership models. Prepared for the Transport Research Center (AVV) of the Netherlands Ministry of Transport, Public Works and Water Management. Rand Europe.
17.Deysher, B. and Pickrell, D. (1997) Emissions Reductions from Vehicle Retirement Programs. Transportation Research Record 1587, 121-127.
18.Dill, J. L. (2001). Travel behavior and older vehicles: implications for air quality and voluntary accelerated vehicle retirement programs. A dissertation of university of California, Berkeley.
19.Directorate-General of Budget, Accounting and Statistics, Executive Yuan (2006). Available at http://61.60.106.82/pxweb/Dialog/statfile9.asp Accessed October 2, 2006.
20.Environmental Protection Administration (2002). Vehicular Air Pollutant Emission Standards. Available at http://law.epa.gov.tw/en/laws/761300020.html Accessed November 15, 2005.
21.Environmental Protection Administration (2005). Information System for Motorcycle Emissions Inspection. Available at http://210.243.193.33/epa Accessed November 15, 2005.
22.Ewing, R., Gross, R. and Li, S. (1998). A vehicle ownership model for FSUTMS. Transportation Research Board, 77th Annual Meeting, Washington, D.C., 1-14.
Fernandz, V. P. (2001) Observable and unobservable determinants of replacement of home appliances. Energy Economics, 23, 305-323.
23.Forsman, Åsa; Engström, Inger. (2005). The composition and use of the Swedish car fleet. Formulation of a forecasting system. VTI report 518A.. Linköping, Sweden.
24.Gilbert, C. C. S. (1992) A duration model of automobile ownership. Transportation Research Part B, 26, 97-114.
25.Golob, T., Bunch, D. and Brownstone, D. (1997). A vehicle use Forecasting model based on revealed and stated vehicle type choice and utilization data. Journal of Transport Economics and Policy, 69-92.
26.Golob, T., Kim, S. and Ren, W. (1995). A structural model of vehicle use in multi-vehiclehouseholds. Transportation Research Board, 74th Annual Meeting, Washington, D.C., 1-33.
27.Greene, W. H. (1998). LIMDEP Version 7.0: User’s Manual. Econometric Software, Inc., New York City.
28.Hensher, D.A. and Mannering, F.L. (1994). Hazard-based duration models and their application to transport analysis. Transport Review, 14, 63-82.
Hensher, D. A., Barnard, P. O., Smith, N. C., and 29.Milthorpe, F. W. (1989) Modeling the dynamics of car ownership and use: a methodological and empirical synthesis. In: International Association for Travel Behaviour, ed., Travel Behaviour Research, Aldershot UK, Gower Publishing, 141-173.
30.Industrial Technology Research Institute. (2002). A subsidy plan for accelerating voluntary retirement of older motorcycles. EPA-91-FA13-03-D017. Taipei, Taiwan.
31.Internal Road Federation (2003). IRF International road statistics 2003 edition: data 1997 to 2001. Geneva, Switzerland.
32.Jou, R. C. and Chen, C. C. (2003) An application of discrete/continuous modeling framework on households' car/motorbike demand models in Taichung. Taiwan’s Transportation Planning Journal Quarterly, 32, 319-339.
33.Jou, R. C., Chen, C. C., and Weng, M. C. (2004) Relationship between household car/motorbike ownership and usage in Taiwan: applications of the Ordered Bivariate Probit and SURE models. Taiwan’s Transportation Planning Journal Quarterly, 33, 625-647.
34.Jou, R. C., Liu, Y. H., and Weng, W. C. (2004) Household joint decision on car/motorbike ownership status and use. Taiwan’s Transportation Planning Journal Quarterly, 33, 83-114.
35.Kalbfleisch, J. D. and Prentice, R. L. (1980) The statistical analysis of failure time data. John Wiley & Sons, Inc., New York.
36.Kear, T. and Niemeier, D. (2003) Sensitivity of Composite Exhaust Emissions Rates to Vehicle Population and Mileage Accrual Assumptions, Transportation Research Record 1842, 73-82.
37.Kitamura, R. (1992) A review of dynamic vehicle holdings models and a proposal for a vehicle transactions model. Proc., Japan Society of Civil Engineers, No. 440/IV-16, Jan., 13-29.
38.Kleinbaum D.G. (1995) Survival Analysis: A Self-learning Text, Springer Press, New York.
39.Lawless J. F. (1982) Statistical models and methods for lifetime data. John Wiley & Sons, Inc., New York.
40.Le, C. T. (1997) Applied survival analysis. John Wiley & Sons, Inc., New York.
41.Lu, Z. H. and Lee, J. W. (2001). The estimation of motorcycle usage duration. Proceedings of the Third Conference on Motorcycle Traffic and Safety in Taiwan. Taoyuan, Taiwan.
42.Mannering, F. and Winston, C. (1985) Vehicle demand and the demand for new car fuel efficiency, Rand Journal of Economics, 16, 215-236.
43.Mechanical Industry Research Laboratories (1999). The subsidy mechanisms of high polluted and aged motorcycles for replacement. Commissioned by Environmental Protection Administration. Taipei, Taiwan.
44.Ministry of Transportation and Communications (1997). Taiwan’s survey report on the usage of motorcycles. Taipei, Taiwan.
45.Ministry of Transportation and Communications (1998). Taiwan’s survey report on the usage of motorcycles. Taipei, Taiwan.
46.Ministry of Transportation and Communications (2000). Taiwan’s survey report on the usage of motorcycles. ISBN 957-02-7026-6. Taipei, Taiwan.
47.Ministry of Transportation and Communications. (2002a). Taiwan’s Road Traffic Regulations. Taipei, Taiwan.
48.Ministry of Transportation and Communications (2002b). Taiwan’s survey report on the usage of motorcycles. ISBN 957-012052-5. Taipei, Taiwan.
49.Ministry of Transportation and Communications (2004). Taiwan’s survey report on the usage of motorcycles. ISBN 1728-6859. Taipei, Taiwan.
50.Ministry of Transportation and Communications. (2006a). Statistical Abstract of Transportation and Communications. Available at http://www.motc.gov.tw/view94/d4080.xls Accessed October 2, 2006.
51.Ministry of Transportation and Communications. (2006b). The statistics comparisons between several main countries. Available at http://www.motc.gov.tw/compare/e4020.xls Accessed October 2, 2006.
52.Office of Vehicle Fleet Management. (2005). 2005 State of the Fleet Report: Report on the Status and Operation of Vehicles within the State of Taxas Fleet. Texas Building and Procurement Commission, State of Taxas.
53.Ramjerdi, F., Rand, L. & Sætermo, I. A. (2000). MODELS FOR CAR OWNERSHIP, TRANSACTIONS AND VEHICLE TYPE. Lunds university. Lund.
54.Raymond, J., Beard, T. R., and Gropper, D. (1993) Modeling the consumer’s decision to replace durable goods: a hazard function approach. Applied Economics, 25, 1287-1292.
55.Road Safety Committee. (1993). Inquiry into Motorcycle Safety in Victoria. Available at http://www.parliament.vic.gov.au/rsc/1993cycle/mcycle.htm Accessed October 7, 2006.
56.Schmidt, P. and Witte, A. (1989) Predicting criminal recidivism using split population survival time models. Journal of Econometrics, 40, 141-159.
57.Stead, D. (1999) Relationships between transport emissions and travel patterns in Britain. Transport Policy, 6, 247-258.
58.Steg L., Geurs, K. and Ras, M. (2001). The effects of motivational factors on car use: a multidisciplinary modeling approach. Transportation Research Part A, 35, 789-806.
59.Train, K., (1986) Qualitative choice analysis: theory, econometrics, and an application to automobile demand, Cambridge, MA: The MIT. Press.
60.United Nations Development Program (UNDP)/World Bank Energy sector Management Assistance Program (ESMAP). (2003). Thailand: Reducing emissions from motorcycles in Bangkok. Available at http://wbln0018.worldbank.org/esmap/site.nsf/files/Thailand_Reducing+Emissions_Bangkok.pdf/$FILE/Thailand_Reducing+Emissions_Bangkok.pdf#search=%22Thailand%3A%20Reducing%20emissions%20from%20motorcycles%20in%20Bangkok%22 Accessed October 7, 2006.
61.Wu, G., Yamamoto, T., and Kitamura, R. (1999). Vehicle ownership model that incorporates the causal structure underlying attitudes toward vehicle ownership. Transportation Research Record 1676. 61-67.
62.Yamamoto, T. and Kitamura, S. (2000) An analysis of household vehicle holding durations considering intended holding durations. Transportation Research Part A, 34, 339-351.