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Tytuł artykułu

A decision support tool for a walkable integrated neighbourhood design using a multicriteria decision-making method.

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Growing concern about transportation emissions and energy security has persuaded urban professionals and practitioners to pursue non-motorized urban development. They need an assessment tool to measure the association between the built environment and pedestrians’ walking behaviour more accurately. This research has developed a new assessment tool called the Walkable Integrated Neighbourhood Design (WIND) support tool, which interprets the built environment’s qualitative variables and pedestrians’ perceptual qualities in relation to quantifiable variables. The WIND tool captures and forecasts pedestrians’ mind mapping, as well as sequential decision-making during walking, and then analyses the path walkability through a decision-tree-making (DTM) algorithm on both the segment scale and the neighbourhood scale. The WIND tool measures walkability by variables clustered into five features, 11 criteria and 92 subcriteria. The mind-mapping analysis is presented in the form of a ‘Walkability_DTM-Mind-mapping sheet’ for each destination and the overall neighbourhood. The WIND tool is applicable to any neighbourhood cases, although it was applied to the Taman Universiti neighbourhood in Malaysia. The tool’s outputs aid urban designers to imply adaptability between the neighbourhood environment and residents’ perceptions, preferences and needs.
Rocznik
Tom
Strony
45--68
Opis fizyczny
Bibliogr. 80 poz.
Twórcy
autor
  • Facultad de Arquitectura y Urbanismo, Universidad Tecnológica Equinoccial, Calle Rumipamba s/n y Bourgeois, Quito 170508, Ecuador; Jacobs School of Engineering, University of California, San Diego, United States; MIT-UTM MSCP Program, Institute Sultan Iskandar, Universiti Teknologi Malaysia, Skudai 81310, Malaysia; Department of Landscape Architecture, Faculty of Built Environment, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia
autor
  • MIT-UTM MSCP Program, Institute Sultan Iskandar, Universiti Teknologi Malaysia, Skudai 81310, Malaysia; Department of Landscape Architecture, Faculty of Built Environment, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia
autor
  • Department of Landscape Architecture, Faculty of Built Environment, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia
Bibliografia
  • 1. Babiano I.M. 2003. Sustainable + Mobility + Management: Pedestrian Space Management as a Strategy in Achieving Sustainable Mobility, Sustainability marketing Management and Consumption. University of St Gallen Summer Academy.
  • 2. Badland H., G. Schofield G. 2005. “Transport, urban design, and physical activity: an evidence based update”. Transportation Research Part D: Transport and Environment 10(3): 177-96. 3. Bejleri I., R.L.Steiner, A. Fischman, J.M. Schmucker. 2011. “Using GIS to analyze the role of barriers and facilitators to walking in children‘s travel to school”. Urban Design International 16(1): 51-62. 4. Bereitschaft B. 2017. “Equity in microscale urban design and walkability: a photographic survey of six Pittsburgh streetscapes”. Sustainability 9(7): 1233. 5. Blecic I., D. Canu, A. Cecchini, T. Congiu, G. Fancello. 2017. “Walkability and street intersections in rural-urban fringes: a decision aiding evaluation procedure”. Sustainability 9(6): 883. 6. Boarnet M.G. 2003. The Built Environment and Physical Activity: Empirical Methods and Data Resource. University of California Transportation Center.
  • 7. Boarnet M.G., R. Crane. 2001. “The influence of land use on travel behavior: Specification and estimation strategies”. Transportation Research A 35. 8. Boarnet M.G., C.L. Anderson, K. Day, T. McMillan, M. Alfonzo. 2005. “Evaluation of the California Safe Routes to School legislation: urban form changes and children’s active transportation to school”. American Journal of Preventive Medicine 28(2): 134-140.
  • 9. Boarnet M., C. Anderson, K. Day, T. Mcillan, M. Alfonzo. 2005. “Evaluation of the California Safe Routes to School Legislation: urban form changes and children’s active transportation to school”. American Journal of Preventive Medicine 28.
  • 10. Boarnet M., K. Day, M. Alfonzo, A. Forsyth, M. Oakes. 2006. “The Irvine-Minnesota inventory to measure built environments: reliability tests”. American Journal of Preventive Medicine 30(2).
  • 11. Bradshaw C. 1993. “Creating and using a rating system for neighborhood walkability: Towards an agenda for local heroes”. In 14th International Pedestrian Conference. Boulder, CO.
  • 12. Brown B.B., C.M. Werner, J.W. Amburgey, C. Szalay. 2007. “Walkable route perceptions and physical features: converging evidence for en route walking experiences”. Environment and Behavior 39(1): 34-61.
  • 13. Calthorpe P., S. Poticha. 1993. The Next American Metropolis, Ecology, Communities, and the America Dream. New York, NY: Princeton Architectural Press.
  • 14. Cerin E., K. Chan, D.J. Macfarlane, J. Duncan, K. Lee, P. Lai. 2011. “Objective assessment of walking environments in ultra-dense cities: development and reliability of the Environment in Asia Scan Tool-Hong Kong Version (EAST-HK). Health and Place 17: 937-945.
  • 15. Cervero R. 2002. “Built environments and mode choice: toward a normative framework”. Transportation Research Part D 7: 265-284. 16. Clifton K., A. Livi,, D.A. Rodriguez. 2005. “Pedestrian Environment Data Scan (PEDS) Tool”. Planning 80: 95-110.
  • 17. Clifton K.J., S.L. Livi, D. Andrea, D. Rodriguez. 2007. “The development and testing of an audit for the pedestrian environment”. Journal of Landscape and Urban Planning 80(1-2): 95-110.
  • 18. Crane R., R. Crepeau. 1998. “Does neigbourhood design influence travel? Behavioral analysis of travel diary and GIS data”. UCTC Working Paper No. 374. University of California Transportation Center.
  • 19. Dannenberg A. 2004. “Assessing the walkability of the workplace: a new audit”. In Fourth National Congress of Pedestrian Advocates, America Walks.
  • 20. Dixon L. 1996. “Bicycle and pedestrian level of service performance measures and standards for congestion management systems”. Transportation Research Record 1538: 1-9. 21. Duncan M.J., J.C. Spence, W.K. Mummery. 2005. “Perceived environment and physical activity: a meta-analysis of selected environmental characteristics”. International Journal of Behavioral Nutrition and Physical Activity 2(11). 22. Emery J., C. Crump, P. Bors. 2003. “Reliability and validity of two instruments designed to assess the walking and bicycling suitability of sidewalks and roads”. American Journal of Health Promotion 18(1): 38-46. 23. Ewing R. 2005. “Can the physical environment determine physical activity levels? Exercise and Sport Sciences Reviews 33(2): 69-75.
  • 24. Ewing R., S. Handy, R.C. Brownson, O. Clemente, E. Winston. 2006. “Identifying and measuring urban design qualities related to walkability”. Journal of Physical Activity and Health 3(Suppl 1): 223-240. 25. Ewing R., T. Schmid, R. Killingsworth, A. Zlot, S. Raudenbush. 2008. “Relationship between urban sprawl and physical activity, obesity, and morbidity”. Urban Ecology: 567-582. Springer. 26. Forsyth A. 2015. “What is a walkable place? The walkability debate in urban design”. Urban Design International 20(4): 274-292.
  • 27. Forsyth A., K.J. Krizek, A.W. Agrawal. 2010. Measuring Walking and Cycling Using the Pabs (Pedestrian and Bicycling Survey) Approach: A Low-cost Survey Method for Local Communities. Mineta Transportation Institute College of Business, MTI Report 10-03.
  • 28. Forsyth A., J.M. Oakes, K.H. Schmitz. 2009. “Test-retest reliability of the Twin Cities Walking Survey”. Journal of Physical Activity and Health 6: 119-131.
  • 29. Frank L.D., G. Pivo. 1994. “Impacts of mixed use and density on utilization of three modes of travel: single-occupant vehicle, transit, and walking”. Transportation Research Record 1466: 44-52.
  • 30. Frank L.D., J. Sallis, R. Saelens, L. Leary, K. Cain, T.L. Conway, P.M. Hess. 2011. “Application to the Neighborhood Quality of Life Study”. Journal of Sports and Medicine 44(13): 924-933.
  • 31. Gallin N. 2001. “Quantifying pedestrian friendliness-guidelines for assessing pedestrian level of service”. Journal Road and Transport Research10 (1).
  • 32. Giles-Corti B., M. Knuiman, A. Timperio, K.V. Niel, T. Pikora, F. Bull, T. Shilton, M. Bulsara. 2008. “Evaluation of the implementation of a state government community design policy aimed at increasing local walking: design issues and baseline results from RESIDE, Perth Western Australia”. Preventive Medicine 46(1): 46-54. 33. Gindroz R., K. Levine, 2002. The Urban Design Handbook: Techniques and Working Methods. WW Norton & Company.
  • 34. Gota S., H.G. Fabian, A.A. Mejia, S. Sabine Punte. 2010. Walkability in Asian Cities: Issues and Challenges. Asian Development Bank Report. Fredkorpset, and the Shakti Foundation.
  • 35. Guttenplan M., B.W. Landis, L. Crider, D.S. McLeod. 2001. “Multi-modal level of service Analysis at planning level”. Transportation Research Record: Journal of the Transportation Research Board 1776: 151-158.
  • 36. Handy S.L. 1996. “Urban form and pedestrian choices: study of Austin neighborhoods”. Transportation Research Record. Transportation Research Board: 135-144.
  • 37. Handy L.S., M.G. Boarnet, R. Ewing, R.E. Killingsworth. 2002. “How the built environment affects physical activity. Views from urban planning”. American Journal of Preventive Medicine 23(2S): 64-73. 38. Handy S.L., K. Clifton. 2000. Evaluating Neighborhood Accessibility: Issues and Methods Using Geographic Information Systems. No. SWUTC/00/167202-1. Southwest Region University Transportation Center, Center for Transportation Research, University of Texas. 39. Handy S., X. Cao, P. Mokhtarian. 2005. “Correlation or causality between the built environment and travel behavior? Evidence from Northern California”. Transportation Research Part D: Transport and Environment 10(6): 427-444.
  • 40. Harkey D.L., Ch. Zegeer. 2004. PEDSAFE: Pedestrian Safety Guide and Countermeasure Selection System. Report of Grant no. DTFH61-99-X-00003. University of North Carolina, Highway Safety Research Center.
  • 41. Hoehner C.M., A. Ivy, L.K. Brennan Ramirez, S.L. Handy, R.C. Brownson. 2007. “The Active Neighborhood Checklist: A reliable and user-friendly tool for assessing activity-friendliness”. American Journal of Health Promotion 21(6): 534-537.
  • 42. Humpel N., N. Owen, E. Leslie, A.L. Marshall, A.E. Bauman, J.F. Sallis. 2004. “Associations of location and perceived environmental attributes with walking in neighborhoods”. American Journal of Health Promotion 18: 239-242.
  • 43. International Energy Agency (IEA). 2012. A Policy Strategy for Carbon Capture and Storage. Available at http://www.iea.org/publications/freepublications/publication/a-policy-strategy-for-carbon-capture-and-storage.html. 44. Jacobs K. 2006. “Discourse analysis and its utility for urban policy research”. Urban Policy and Research 24(1): 39-52.
  • 45. Krizek K. 2006. “Lifestyles, residential location decisions, and pedestrian and transit activity”. Transportation Research Record: Journal of Transportation Research Board 1981: 171-178.
  • 46. Landis B.W. et.al. 2001. “Modeling the roadside walking environment: a pedestrian level of service”. Transportation Research Board 01-0511.
  • 47. Lee J.S., K. Kawakubo, S. Kohri, H. Tsujii, K. Mori. A. Akabayashi. 2007. “Association between residents’ perception of the neighborhood’s environments and walking time in objectively different regions”. Environmental Health and Preventive Medicine 12(1): 3-10.
  • 48. Litman T.A. 2014. Economic Value of Walkability. Victoria Transport Policy Institute. Available at: http://www.vtpi.org.
  • 49. Lynch K., G. Gary Hack. 1984. Site Planning. Cambridge, MA: Maple-Vail Inc.
  • 50. Maslow A.H. 1954. Motivation and Personality. New York, NY: Harper and Row. 51. Matan A., P. Newman, R. Trubka, C. Beattie, L.A. Selvey. 2015. “Health, transport and urban planning: quantifying the links between urban assessment models and human health”. Urban Policy and Research: 1-15.
  • 52. Max-Neef M., A. Elizalde, M. Hopenhayn. 1992. “Development and human needs”. Real-life Economics: Understanding Wealth Creation: 197-213.
  • 53. Michael Yvonne L., E.M. Keast, H. Chaudhury, K. Day, A. Mahmood, A.F.I Sarte. 2009. “Revising the senior walking environmental assessment tool”. Preventive Medicine 48: 247-249.
  • 54. Mikalsen R., Y. Wang, A. Roskilly. 2009. “A comparison of Miller and Otto cycle natural gas engines for small scale CHP applications”. Applied Energy 86(6): 922-927.
  • 55. Millington C., C. Ward Thompson, D. Rowe, P. Aspinall, C. Fitzsimons, N. Nelson, N. Mutrie. 2009. “Development of the Scottish Walkability Assessment Tool (SWAT)”. Health and Place 15(2): 474-481.
  • 56. Mokhtarian P.L., I. Salmon. 2002. “How derived is the demand for travel? Some conceptual and measurement considerations”. Transportation Research Part A 33.
  • 57. Moudon A.V., P. Hess, J.M. Matlick, N. Pergakes. 2002. “Pedestrian location identification tools: identifying suburban areas with potentially high latent demand for pedestrian travel”. Transportation Research Record 1818: 94-101.
  • 58. Moudon A.V., C. Lee, A. Cheadle, C. Garvin, D. Jonson, T. Schmid, R. Weathers, L. Lin. 2006. “Operational definitions of walkable neighborhood: theoretical and empirical insights”. Journal of Physical Activity and Health 3(1): 99-117.
  • 59. “National Centre for Chronic Disease Prevention and Health Promotion (CDC)”. 2009. Available at: http://www.cdc.gov/chronicdisease/about/foa.htm.
  • 60. “New Zealand Transport Agency”. 2009. Available at: http://www.nzta.govt.nz/resources/planning-policy-manual/index.html.
  • 61. Painter K. 1996. “The influence of street lighting improvements on crime, fear and pedestrian street use after dark. Landscape and Urban Planning 35: 193-201.
  • 62. Pikora T., B. Giles-Corti, F.C. Bull, K. Jamrozik, R. Donovan. 2003. “Developing a framework for assessment of the environmental determinants of walking and cycling”. Social Science and Medicine 56: 1693-1703.
  • 63. National Cancer Institute. National Institutes of Health. U.S Department of Health and Human Services.
  • 64. Rodriguez D., J. Joo. 2004. “The relationship between non-motorized mode choice and the local physical environment”. Transportation Research Part D: Transport and Environment 9(2): 151-173.
  • 65. Saelens B.E., J.F. Sallis, J.B. Black, D. Chen. 2003. “Neighborhood-based differences in physical activity: an environment scale evaluation”. American Journal of Public Health 93(9): 1552-1558.
  • 66. Sallis J.F., K. Kraft, L.S. Linton. 2002. “How the environment shapes physical activity: a transdisciplinary research agenda”. Preventive Medicine 22: 208-211. 67. Shafray E., S. Kim. 2017. “A study of walkable spaces with natural elements for urban regeneration: a focus on cases in Seoul, South Korea”. Sustainability 9(4): 587.
  • 68. Shriver K. 2003. “A walkable places survey: approach and results”. The Annual Meeting of the Transportation Research Board. Washington, DC.
  • 69. “Smart Growth America”. Available at: http://www.smartgrowthamerica.org.
  • 70. Southworth M. 2005. “Designing the walkable city”. Journal of Urban Planning and Development 131(4): 246-257. 71. Southworth M., E. Ben-Joseph. 2004. “Reconsidering the cul-de-sac”. ACCESS Magazine 1(24): 28-33.
  • 72. Stangor Ch. 2007. Research Methods for the Behavioral Sciences. Houghton Mifflin Company, University of Maryland.
  • 73. Titze S., B. Giles-Corti, M.W. Knuiman, T.J. Pikora, A. Timperio, F.C. Bull, K. Van Niel. 2010. “Associations between intrapersonal and neighborhood environmental characteristics and cycling for transport and recreation in adults: baseline results from the RESIDE study”. Journal of Physical Activity and Health 7(4): 423-431. 74. Tiwari R. 2015. “Designing a safe walkable city”. Urban Design International 20(1): 12-27.
  • 75. United States Energy Information Administration (U.S. EIA). 2013. “International Energy outlook 2013: natural gas. EIA, July 2013”. Available at http://www.eia.gov/forecasts/ieo/nat_gas.cfm.
  • 76. Zegeer Ch.V., D.L. Carter, W.W. Hunter, J.R. Stewart, H. Huang, A.H. Do, L.S. Sandt. 2006. “Index for assessing pedestrian safety at intersections”. Transportation Research Record: Transportation Research Board 982: 76-83.
  • 77. Zhang, Y., Y. Li, Q. Liu, C. Li. 2014. “The built environment and walking activity of the elderly: an empirical analysis in the Zhongshan metropolitan area, China”. Sustainability 6(2): 1076-1092.
  • 78. Mickevicius T., S. Slavinskas, S. Wierzbicki, K. Duda. 2014. “The effect of diesel-biodiesel blends on the performance and exhaust emissions of a direct injection off-road diesel engine”. Transport 29(4): 440-448.
  • 79. Puškár M., M. Fabian, T. Tomko. 2018. “Application of multidimensional statistical model for evaluation of measured data obtained from testing of the HCCI engine prototype”. Diagnostyka 19(1): 19-24. DOI: http://dx.doi.org/10.29354/diag/78349.
  • 80. Jacyna M., K. Lewczuk, E. Szczepanski, P. Golebiowski, R. Jachimowski, M. Klodawski, D. Pyza, O. Sivets, M. Wasiak, J. Zak, I. Jacyna-Gołda. 2015. “Effectiveness of national transport system according to costs of emission of pollutants”. In Nowakowski T., Mlynczak M., Jodejko-Pietruczuk A, Werbinska-Wojciechowska S. (eds.) Safety and Reliability: Methodology and Applications: Proceedings of the European Safety and Reliability Conference (ESREL): 559-567. Wroclaw, Poland. 14-18 September 2014. Boca Raton, FL: CRC Press-Taylor & Francis Group. ISBN: 978-1-315-73697-6, 978-1-138-02681-0.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d71ef0b2-da9e-489d-b5cd-bf4dfde18385
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