政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/131764

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/131764

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政大機構典藏 > 社會科學學院 > 地政學系 > 學位論文 > Item 140.119/131764

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題名:	臺北市路邊停車研究: 以空間分析探討停車收費政策影響 On-road Parking in Taipei City: Spatial Analysis of Parking Policy Impact
作者:	蔡孟秦 Tsai, Meng-Chin
貢獻者:	范噶色林子欽 van Gasselt, Stephan Lin, Tzu-Chin 蔡孟秦 Tsai, Meng-Chin
關鍵詞:	停車政策影響空間分析地理加權迴歸(GWR) Parking Policy Impact Spatial Analysis Geographically Weighted Regression(GWR)
日期:	2020
上傳時間:	2020-09-02 12:41:25 (UTC+8)
摘要:	停車在都市規劃和政策決定過程中扮演著重要的角色，而一個較不完善的停車系統容易導致交通擁堵、空氣污染和其他問題，特別是在人口稠密的城市地區。過去數十年來學者也不斷討論停車行為會受各種因素影響。其中，調整停車費是最常見的實施措施，因此台北市政府於2015年推動全面收取路邊停車費的新政策，目的即希望能改變使用者停車行為，增加路邊停車周轉率，解決住宅區內車位被長期占用的問題。在本研究中，主要引用臺北市停車工程管理處公布的年度調查報告進行分析討論，其中涵蓋不同交通分區（TAZ）中的路面及路外停車需求、供給和違規停車數量。在分析停車模式時，透過應用空間自相關獲取停車費價格和停車比率的空間異質性。由於原本實施全市停車政策具其局限性，需要透過本地觀點進一步討論，利用地理加權回歸（GWR）可補充討論各停車分區間潛在停車因素與停車行為之間的關係。另外，優化加權函數的帶寬及考量混和參數的方式可改進估計模型，並解釋不同因子間的差異性。本論文主要採用了考慮主要變量、條件和特徵的方法，以便最終根據可解釋的單位調整停車政策，改善台北市的停車情況。最終，這種系統性分析也可望在其他城市實施，以從空間視角輔助政策審查分析。 Parking is extraordinary to be discussed during urban planning and policy-making, since a worse parking system might lead to traffic congestion, air pollutions and other problems, particularly in densely populated urban areas. It has been debated for decades that parking behavior is affected by various factors. Among those, adjustment on parking fee is the most common measure to implement, which was also taken as a new policy to generally charge on-road parking in Taipei in 2015. In this study, the main analyzing dataset was acquainted by a published annual governmental survey, covering numbers on the demand, supply, and illegal parking in different traffic zone (TAZ). Through the application of spatial autocorrelation techniques, it is possible to identify the similarity, and capture the spatial heterogeneity of the patterns of price and parking ratio in overall situation. Due to the limitation of responding a city-wide parking policy, it requires a further discussion on local perspectives, which can be examined through a Geographically Weighted Regression (GWR). This thesis examines the relationship between potential factors, showing the influence level of different variables. Additionally, other advanced technique which target at optimizing weighting kernels and consider different scales of parameters are also applied to improve the estimated models. With these calculated coefficients, the major objective of this thesis, an approach taking into account dominating variables, conditions and characteristics is implemented in order to ultimately adjust the parking-policy based on interpretable units and to improve the parking situation in Taipei City. Eventually, this structural analysis is also expectable to be implemented to other cities to assist the policy review in a spatial perspective.
參考文獻:	Akaike H., 1974, "A new look at the statistical model identification." 215-222, Springer. Anderson S. P. and de Palma A., 2004, "The economics of pricing parking", Journal of Urban Economics, 55:1-20. Anselin L., 1995, "Local Indicators of Spatial Association—LISA", Geographical Analysis, 27:93-115. Axhausen K. W. and Polak J. W., 1991, "Choice of parking: Stated preference approach", Transportation, 18:59-81. Barter P., 2016, On Street Parking Management, Germany:GIZ. Barter P., 2011, Parking Policy in Asian Cities, Philippines:Asian Development Bank. Benenson I., Martens K. and Birfir S., 2008, "PARKAGENT: An agent-based model of parking in the city", Computers, Environment and Urban Systems, 32:431-439. Bifulco G. N., 1993, "A stochastic user equilibrium assignment model for the evaluation of parking policies", European Journal of Operational Research, 71:269-287. Biswas S., Chandra S. and Ghosh I., 2017, "Effects of On-Street Parking In Urban Context: A Critical Review", Transportation in Developing Economies, 3:1-14. Brooke S., 2016, Factors influencing urban on-street parking search time using a multilevel modelling approach, Loughborough University,UK Brooke S., Ison S. and Quddus M., 2014, "On-Street Parking Search", Transportation Research Record: Journal of the Transportation Research Board, 2469:65-75. Brunsdon C., Fotheringham A. S. and Charlton M. E. J. G. a., 1996, "Geographically weighted regression: a method for exploring spatial nonstationarity", 28:281-298. Caicedo F., 2010, "Real-time parking information management to reduce search time, vehicle displacement and emissions", Transportation Research Part D: Transport and Environment, 15:228-234. Chang Y.-T., 2018, Land Use Efficiency in Curb Parking, National Cheng-Chi University,Taiwan Chaturvedi M., 2012, Parking in Balance: A Geospatial Analysis of Efficiency of the Parking System of Enschede, The Netherlands, University of Twente Faculty of Geo-Information and Earth Observation (ITC). Du H. and Mulley C. J. T. R. R., 2006, "Relationship between transport accessibility and land value: Local model approach with geographically weighted regression", 1977:197-205. Fiez T., Ratliff L. J., Dowling C. and Zhang B., "Data Driven Spatio-Temporal Modeling of Parking Demand", 2018 Annual American Control Conference (ACC), 27-29 June 2018 Fotheringham A. S. and Brunsdon C., 1999, "Local forms of spatial analysis", 31:340-358. Fotheringham A. S., Brunsdon C. and Charlton M., 2002, Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Wiley. Fotheringham A. S., Yang W. and Kang W., 2017, "Multiscale Geographically Weighted Regression (MGWR)", Annals of the American Association of Geographers, 107:1247-1265. Frank A. I., 2003, Using measures of spatial autocorrelation to describe socio-economic and racial residential patterns in US urban areas, Taylor & Francis Nueva York. Getis A. and Ord J. K., 1992, "The Analysis of Spatial Association by Use of Distance Statistics", Geographical Analysis, 24:189-206. Harris B. and Batty M., 1993, "Locational Models, Geographic Information and Planning Support Systems", 12:184-198. Harris P., Fotheringham A. S., Crespo R. and Charlton M., 2010, "The Use of Geographically Weighted Regression for Spatial Prediction: An Evaluation of Models Using Simulated Data Sets", Mathematical Geosciences, 42:657-680. Hess S. and Polak J., 2009, "Mixed Logit modelling of parking type choice behaviour." 77-102, Florida, United States:Jd Ross Publishing. Ibeas Á., Cordera R., dell’Olio L. and Moura J. L., 2011, "Modelling demand in restricted parking zones", Transportation Research Part A: Policy and Practice, 45:485-498. Ibeas A., dell’Olio L., Bordagaray M. and Ortúzar J. d. D., 2014, "Modelling parking choices considering user heterogeneity", Transportation Research Part A: Policy and Practice, 70:41-49. Institute of Transportation E., 2004, Parking generation, Washington, D.C., USA:Institute of Transportation Engineers. Litman T., 2019, Parking Management: Comprehensive Implementation Guide, Victoria Transport Policy Institute Lu B., Brunsdon C., Charlton M. and Harris P., 2017, "Geographically weighted regression with parameter-specific distance metrics", International Journal of Geographical Information Science, 31:982-998. Lu B., Harris P., Charlton M. and Brunsdon C., 2015, "Calibrating a Geographically Weighted Regression Model with Parameter-specific Distance Metrics", Procedia Environmental Sciences, 26:109-114. Lu B., Harris P., Charlton M. and Brunsdon C., 2014, "The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models", Geo-spatial Information Science 17:85-101. Ma X., Sun X., He Y. and Chen Y., 2013, "Parking Choice Behavior Investigation: A Case Study at Beijing Lama Temple", Procedia - Social and Behavioral Sciences, Volume 96:2635-2642. Mei C.-L., He S.-Y. and Fang K.-T., 2004, "A Note on the Mixed Geographically Weighted Regression Model*", Journal of Regional Science, 44:143-157. Mennis J., 2006, "Mapping the Results of Geographically Weighted Regression", Cartographic Journal, 43(2):171-179. Moran P. A. P., 1950, "Notes on Continuous Stochastic Phenomena", Biometrika, 37:17-23. Nakaya T., Fotheringham A. S., Charlton M. and Brunsdon C., 2009, "Semiparametric geographically weighted generalised linear modelling in GWR4.0", Proceedings of Geocomputation, 1-5. Oba T. and Iseki H., "Spatial Analysis of Surface Parking Lots Location and Cityscape Preservation in Historic Central Districts: Case Studies in Kyoto and Philadelphia", The 13th World Conference on Transport Research, Selected Proceeding, Ord J. K. and Getis A., 1995, "Local Spatial Autocorrelation Statistics: Distributional Issues and an Application", Geographical Analysis, 27:286-306. Osborne J. and Waters E., 2002, "Four Assumptions of Multiple Regression That Researchers Should Always Test", Practical Assessment, Research & Evaluation, 8: Ottosson D. B., Chen C., Wang T. and Lin H., 2013, "The sensitivity of on-street parking demand in response to price changes: A case study in Seattle, WA", Transport Policy, 25:222-232. Overmars K. P., de Koning G. H. J. and Veldkamp A., 2003, "Spatial autocorrelation in multi-scale land use models", Ecological Modelling, 164:257-270. Piccioni C., Valtorta M. and Musso A., 2019, "Investigating effectiveness of on-street parking pricing schemes in urban areas: An empirical study in Rome", Transport Policy, 80:136-147. Pierce G. and Shoup D., 2013, "Getting the Prices Right", Journal of the American Planning Association, 79:67-81. Pu Z., Li Z., Ash J., Zhu W. and Wang Y., 2017, "Evaluation of spatial heterogeneity in the sensitivity of on-street parking occupancy to price change", Transportation Research, 77:67-79. Shoup D., 1997, The High Cost of Free Parking, Thapa R. B. and Estoque R. C., 2012, "Geographically Weighted Regression in Geospatial Analysis." 85-96, Tokyo:Springer Japan. Uyanık G. K. and Güler N., 2013, "A Study on Multiple Linear Regression Analysis", Procedia - Social and Behavioral Sciences, 106:234-240. Wang W.-C., Chang Y.-J. and Wang H.-C., 2019, "An Application of the Spatial Autocorrelation Method on the Change of Real Estate Prices in Taitung City", 8:249. Wartenberg D., 1985, "Multivariate Spatial Correlation: A Method for Exploratory Geographical Analysis", Geographical Analysis, 17:263-283. Williams M. N., Grajales C. A. G. and Kurkiewicz D., 2013, "Assumptions of multiple regression: Correcting two misconceptions", Yang Y., Tong X. and Zhu J., 2013, "A geographically weighted model of the regression between grain production and typical factors for the Yellow River Delta", Mathematical and Computer Modelling, 58:582-587. Yun M., Lao Y., Ma Y. and Yang X., 2009, "Optimization Model on Scale of Public Parking Lot Considering Parking Behavior", Logistics, 2692-2699. Zhang H., Zhang J., Lu S., Cheng S. and Zhang J., 2011, "Modeling hotel room price with geographically weighted regression", 30:1036-1043. Zong F., Yu P., Tang J. and Sun X., 2019, "Understanding parking decisions with structural equation modeling", Physica A: Statistical Mechanics and its Applications, 523:408-417.
描述:	碩士國立政治大學地政學系 107257033
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0107257033
資料類型:	thesis
DOI:	10.6814/NCCU202001224
顯示於類別:	[地政學系] 學位論文

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