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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 周家蓓(Chiapei Chou) | |
| dc.contributor.author | Hernan Eduardo Romero Inestroza | en |
| dc.contributor.author | 尹赫 | zh_TW |
| dc.date.accessioned | 2021-06-17T04:33:22Z | - |
| dc.date.available | 2018-08-14 | |
| dc.date.copyright | 2018-08-14 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-08-10 | |
| dc.identifier.citation | REFERENCES
[1] ASTM E3028-16e1, Standard Practice for Computing Wheelchair Pathway Roughness Index as Related to Comfort, Passability, and Whole Body Vibrations from Longitudinal Profile Measurements, ASTM International, West Conshohocken, PA, 2016 [2] ADAAG, Chapter 4 - Accessible routes “https://www.access-board.gov/guidelines-and-standards/buildings-and-sites/about-the-ada-standards/guide-to-the-ada-standards/chapter-4-accessible-routes [3] Amérigo, M., & Aragones, J. I. (1997). A theoretical and methodological approach to the study of residential satisfaction. Journal of environmental psychology, 17(1), 47-57. [4] Washington State Department of Transportation http://www.wsdot.wa.gov/walk/design.htm [5] Frackelton, Alexandra; Grossman, Alice; Palinginis, Evangelos; Castrillon, Felipe; Elango, Vetri; and Guensler, Randall (2013) 'Measuring Walkability: Development of an Automated Sidewalk Quality Assessment Tool,'Suburban Sustainability: Vol. 1: Iss. 1, Article 4. DOI: 10.5038/2164-0866.1.1.4 Available at:http://scholarcommons.usf.edu/subsust/vol1/iss1/4 [6] “Americans with Disabilities Act (ADA) Sidewalk & Curb Ramp Inventory”, 2008, National Cooperative Highway Research Program (NCHRP), Asset Management Approaches to ADA Compliance, NCHRP 20-07 Task 249. [7] Chou, C.-P., et al., Simulation of Bicycle-Riding Smoothness by Bicycle Motion Analysis Model. Journal of Transportation Engineering, 2015. 141(12): p. 04015031. [8] Duvall, J., Cooper, R., Sinagra, E., Stuckey, D., Brown, J., & Pearlman, J. (2013). Development of surface roughness standards for pathways used by wheelchairs. Transportation Research Record: Journal of the Transportation Research Board, (2387), 149-156 [9] Chou, C. P., Siao, G. J., Chen, A. C., & Lee, C. C. (2018). Algorithm for Estimating International Roughness Index by Response-Based Measuring Device (No. 18-02404). [10] 李陽. '應用智慧型手機檢測道路平坦度之演算邏輯' 臺灣大學土木工程學研究所學位論文 (2018) [11] 蕭冠箴. '車輛反應式平坦儀之平坦度指標演算法' 臺灣大學土木工程學研究所學位論文 (2018) [12] Sonenblum SE, Sprigle S, Lopez RA. Manual wheelchair use: bouts of mobility in everyday life. Rehabil Res Pract . 2012; 2012: 753165. [13] Schroeder, H. W., & Cannon, W. N. (1987). Visual quality of residential streets: both street and yard trees make a difference. Journal of Arboriculture, 13(10), 236-239. [14] Kim, S., Choi, J., & Kim, Y. (2011). Determining the sidewalk pavement width by using pedestrian discomfort levels and movement characteristics. KSCE Journal of Civil Engineering, 15(5), 883 [15] Corazza, M. V., Di Mascio, P., & Moretti, L. (2016). Managing sidewalk pavement maintenance: A case study to increase pedestrian safety. Journal of Traffic and Transportation Engineering (English Edition), 3(3), 203-21 [16] Wang, W., Li, P., Wang, W., & Namgung, M. (2011). Exploring determinants of pedestrians’ satisfaction with sidewalk environments: Case study in Korea. Journal of Urban Planning and Development, 138(2), 166-172 [17] Cooper, R. A., Wolf, E., Fitzgerald, S. G., Kellerher, A., Ammer, W., Boninger, M. L., & Cooper, R. (2004). Evaluation Of Selected Sidewalk Pavement Surfaces For Vibration Experienced By Users Of Manual And Powered Wheelchairs. The journal of spinal cord medicine, 27(5), 468-475 [18] International Organization for Standardization ISO 2631-1:1985 – Evaluation of Human Exposure to Whole-Body vibrations- Part-1 General Requirements https://www.iso.org/standard/7611.html [19] International Organization for Standardization ISO 2631-1:1997- Mechanical Vibration and Shock https://www.iso.org/standard/7612.html [20] Schmitt Measurement Systems, Inc. http://www.alliantech.com/pdf/capteurs_deplacement_laser/AR700.pdf [21] Microelectromechanical Systems MEMSIC https://www.memsic.com/userfiles/files/6020-0114-01_B_GPSeries.pdf [22] Sonenblum SE, Sprigle S, Lopez RA. Manual wheelchair use: bouts of mobility in everyday life. Rehabil Res Pract. 2012; 2012: 753165. [23] A. M. Karmarkar, D. M. Collins, A. Kelleher, D. Ding, M. Oyster, and R. A. Cooper, “Manual wheelchair-related mobility characteristics of older adults in nursing homes,” Disability and Rehabilitation, vol. 5, no. 6, pp. 428–437, 2010 [24] M.L. Tolerico, D.Ding,R.A.Cooperetal.,“Assessing mobility characteristics and activity levels of manual wheelchair users,” Journal of Rehabilitation Research and Development, vol. 44, no. 4, pp. 561–571, 2007. [25] Commuters buyers tyre guide - https://guides.wiggle.co.uk/commuter-tyres-buying-guide | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70637 | - |
| dc.description.abstract | 為了對人行道的質量進行分類和測量，輪椅平坦度指標（WPRI）是一種允許縱向測量行人道平坦度的工具 ; 並將道路的平坦度劃分從“非常好”到 “無法通過”，該指數表示輪椅在穿過特定道路段時行走的垂直偏差。 WPRI 指數所訂立的標準輪椅腳輪尺寸為 70毫米 ;另外，收集到的數據應乎合0.5mm至 2mm的數據點間隔範圍。然後，使用開發人員提供的 Matlab 程式計算測量結果，其運算獲得的輸出單位為 mm / m 或 in / ft。本次調查所提供的標準輪椅腳輪尺寸範圍從150mm 到 180mm 不等，因此本研究的目的是評估所提供的 Matlab 程式，並考慮不同的標準腳輪尺寸和不同的測量設備，測試 WPRI 分類的靈敏度和結果，以驗證代碼是否可用於不同的領域。重新評估具有不同數據輸入範圍和不同腳輪尺寸的 WPRI Matlab 程式，將提供有關此程式如何工作以及如何完成人行道分段分類的更廣泛的理解。此外，加入 ARI 和主觀評分方法用於比較途徑評估條件，以找出不同方法與 WPRI 之間的相關性。提供衡量人行道質量的工具，台灣可以開發出良好的人行道基礎設施，以減少輪椅使用者通過這些通道時產生的危害。 | zh_TW |
| dc.description.abstract | To classify and measure the quality of a sidewalk, the Wheelchair Roughness Pathway Index(WPRI) is a tool that allows the longitudinal measurement of the roughness of a pedestrian profile trail; classifying it from Very good to Impassable pathways, this index represents the vertical deviation of the caster of the wheelchair traveling through a specific segment. The WPRI index considers the standard wheelchair caster size of 70mm; and the measurement is computed using a Matlab code provided by the developers. In addition, the collected data should have a data point interval range of 0.5mm to 2mm. The output units obtained using Matlab are in mm/m or in/ft. The standard wheelchair caster size provided by the survey done for this research ranges from 150mm to 180mm, therefore the aim of this research is to evaluate the provided Matlab code; testing the sensibility and the results of the WPRI classifications to verify if the code can be used in different areas, considering the different standard casters sizes and different measurement devices. Reevaluating the WPRI Matlab code with different data input ranges and different caster sizes, will provide a broader understanding on how this code works and how the classification of sidewalk segments is done. In addition, the ARI and the subjective rating methods are used for comparison for pathway assessment condition to find the correlation between the different methods and the WPRI. Providing a tool to measure the quality of a sidewalk, Taiwan can develop a good sidewalk infrastructure that will decrease the hazards generated on the wheelchair users when they commute through these pathways. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T04:33:22Z (GMT). No. of bitstreams: 1 ntu-107-R05521533-1.pdf: 5785675 bytes, checksum: 4451e66e7a1b38b4847fdfdd985974f8 (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | LIST OF CONTENT
CHAPTER ONE- INTRODUCTION 1 1.1 Introduction 1 1.2 Objectives 3 CHAPTER TWO – LITERATURE REVIEW 4 2.1 Sidewalk condition assessment 4 2.2 Wheelchair Roughness Pathway Index(WPRI) 5 2.3 The Acceleration Rootmean-squared Index(ARI) 7 2.4 Sidewalk Users Perception 9 CHAPTER THREE – METHODOLOGY 11 3.1 Wheelchair Roughness Pathway Index analysis with computer based profiles. 11 3.1.1 WPRI analysis 13 3.2 Wheelchair Roughness Pathway Index analysis with real profile data 22 3.3 Body vibrations on a wheelchair analysis with real profile data. 24 3.4 Subject survey with real profile data. 27 CHAPTER FOUR – DATA COLLECTION 30 4.1 Surfaces 30 4.2 Sidewalk Locations 33 4.3 Profile’s Lengths 36 CHAPTER FIVE - DATA ANALYSIS AND DISCUSSION 38 5.1 Wheelchair Roughness Pathway Index analysis with real profile data. 38 5.1.1 Profiles WPRI 40 5.1.2 Data Point Interval Analysis 50 5.1.3 Bicycle trend line 52 5.2 Wheelchair and Accelerometer. 55 5.2.1 Acceleration measurments at two speeds 55 5.2.2 Comparison between the MWPRI and ARI 59 5.3 Wheelchair and User’s Rating. 59 5.3.1 Comparison between random raters and pavement researchers 63 5.4 Comparison of the three Methods (WPRI, ARI and subject rating) 64 5.4.1 Linear regression comparison 66 CHAPTER SIX – CONCLUSIONS AND RECOMMENDATIONS 68 6.1 Conclusions 68 6.2 Recommendations 70 APPENDICES 71 REFERENCES 116 | |
| dc.language.iso | en | |
| dc.subject | 輪椅 | zh_TW |
| dc.subject | 鋪面狀況 | zh_TW |
| dc.subject | 平坦度指標 | zh_TW |
| dc.subject | 腳輪尺寸 | zh_TW |
| dc.subject | wheelchair | en |
| dc.subject | caster size | en |
| dc.subject | Surface condition | en |
| dc.subject | roughness index | en |
| dc.title | Evaluation of Wheelchair Pathway Serviceability in Taiwan | zh_TW |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳建旭,楊士賢 | |
| dc.subject.keyword | 鋪面狀況,輪椅,腳輪尺寸,平坦度指標, | zh_TW |
| dc.subject.keyword | Surface condition,wheelchair,caster size,roughness index, | en |
| dc.relation.page | 120 | |
| dc.identifier.doi | 10.6342/NTU201802395 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2018-08-10 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| 顯示於系所單位： | 土木工程學系 | |
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|---|---|---|---|
| ntu-107-1.pdf 未授權公開取用 | 5.65 MB | Adobe PDF |
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