PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2019 | No. 46 | 7--21
Tytuł artykułu

Local Walkability Index: Assessing Built Environment Influence on Walking

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Walking is a more sustainable transport mode, and governments around the world are trying to deliver highly walkable areas to their people. Due to its importance, walkability has been a research topic in recent years. Vast empirical studies have reported evidence related to the influence of built environment on walking as a major physical activity. Considering the recent literature, this study developed a framework to quantify walkability by applying a set of indicators related to built environment. The indicators were normalised, weighted and integrated into an overall walkability index. The research was conducted on Chaharbagh Street, which is a major and ancient street in the Isfahan metropolitan area, Iran. The proposed framework would be helpful in investigations of whether a specific area is an appropriate option for a car-free plan based on its built environment features. The outcome of the study could be applied to understand issues related to pedestrian infrastructure and to propose corrective actions. (original abstract)
Rocznik
Numer
Strony
7--21
Opis fizyczny
Twórcy
  • University of Kurdistan, Iran
autor
Bibliografia
  • Al-Shabeeb, A.R.R. (2015). A modified analytical hierarchy process method to select sites for groundwater recharge in Jordan, Department of Geography.
  • Albayrak, E. and Erensal, Y.C. (2004). Using analytic hierarchy process (AHP) to improve human performance: An application of multiple criteria decision making problem. Journal of Intelligent Manufacturing, 15(4): 491-503. DOI: https://doi.org/10.1023/B:JIMS.0000034112.00652.4c .
  • Alonso, J.A. and Lamata, M.T. (2006). Consistency in the analytic hierarchy process: a new approach. International journal of uncertainty, fuzziness and knowledge-based systems, 14(4): 445-459. DOI: https://doi. org/10.1142/S0218488518500095.
  • Aragonés-Beltrán, P. Chaparro-González, F. Pastor-Ferrando, J.P. and Pla-Rubio, A. (2014) An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy, 66: 222-238. DOI: https://doi. org/10.1016/j.energy.2013.12.016.
  • Atash, F. (1994). Redesigning suburbia for walking and transit: Emerging concepts. Journal of urban planning and development, 120(1): 48-57. DOI: https:// doi.org/10.1061/(ASCE)0733-9488.
  • Bahrainy, H. Khosravi, H. Aliakbari, F. and Khosravi, F. (2015). The Impact of Built Environment on Walkability, Case Study: North-West of Shiraz. Armanshahr Architecture & Urban Development, 8(14): 105-117.
  • Ball, K. Bauman, A. Leslie, E. and Owen, N. (2001). Perceived environmental aesthetics and convenience and company are associated with walking for exercise among Australian adults. Preventive medicine, 33(5): 434-440. DOI: https://doi.org/10.1006/ pmed.2001.0912.
  • Bauman, A. Wallner, F. Miners, A. and Westley-Wise, V. (1996). No ifs no buts Illawarra physical activity project: Baseline research report. Warrong, NSW: Commonwealth Department of Health and Family Services.
  • Bhadra, S. Tanbir Sazid, A.K.M. and Esraz-Ul-Zannat, M. (2016). A GIS Based Walkability Measurement within the Built Environment of Khulna City, Bangladesh. Journal of Bangladesh Institute of Planners, 8: 145-158.
  • Borajee, M. and Yakchali, S.H. (2011). Using the AHP-ELECTRE III integrated method in a competitive profile matrix. International Conference on Financial Management and Economics, Hong Kong.
  • Boulange, C. Pettit, C. and Giles-Corti, B. (2017). The walkability planning support system: An evidence-based tool to design healthy communities. International Conference on Computers in Urban Planning and Urban Management, Australia.
  • Brownson, R.C. Baker, E.A. Housemann, R.A. Brennan, L.K. and Bacak, S.J. (2001). Environmental and policy determinants of physical activity in the United States. American journal of public health, 91(12): 1995-2003. DOI: https://doi.org/10.2105/ AJPH.2018.304649.
  • Burden, D. Davis, D. Sprowls, S. Zykofsky, P. and Wallwork, M. (2002). Street Design Guidelines for Healthy Neighborhoods. Calif: Center for Livable Communities.
  • CAI-Asia. (2011). Walkability in Indian Cities, the Clean Air Initiative for Asian Cities. Clean Air Initiative for Asian Cities Center (http://www.cleanairinitiative.org).
  • Castillo, H. and Pitfield, D.E. (2010). ELASTIC-A methodological framework for identifying and selecting sustainable transport indicators. Transportation Research Part D: Transport and Environment, 15(4): 179188. DOI: https://doi.org/10.1016/j.trd.2014.11.017,
  • Cherchye, L. Moesen, W. and Puyenbroeck, T. (2004). Legitimately diverse, yet comparable: on synthesizing social inclusion performance in the EU. JCMS: Journal of Common Market Studies, 42(5): 919-955. DOI: https://doi.org/10.1111/jcms.12519.
  • Christian, H.E. Bull, F.C. Middleton, N.J. Knuiman, M.W. Divitini, M.L. Hooper, P. and Giles-Corti, B. (2011). How important is the land use mix measure in understanding walking behaviour? Results from the RESIDE study. International Journal of Behavioral Nutrition and Physical Activity, 8(1): 55. DOI: 10.1186/s12966-015-0269-2.
  • Dur, F. Yigitcanlar, T. and Bunker, J. (2010). Towards sustainable urban futures: evaluating urban sustainability performance of the Gold Coast, Australia. Proceedings of the 14th IPHS conference: urban transformation: controversies, contrasts and challenges.
  • EEA. (2005). EEA core set of indicators:Guide. Retrieved from Copenhagen.
  • Efroymson, D. (2012), Moving dangerously, moving pleasurably: Improving walkability in Dhaka: Using a BRT walkability strategy to make Dhaka's transportation infrastructure Pedestrian-Friendly.
  • Ewing, R. and Handy, S. (2009). Measuring the unmeasurable: Urban design qualities related to walkability. Journal of Urban Design, 14(1): 65-84. DOI: doi.org/ 10.1080/13574809.2018.1554997.
  • Frank, L. Devline, A. Johnstone, S. and Loon, J. (2010). Neighbourhood Design, Travel, and Health in Metro Vancouver: Using a Walkability Index. University of British Columbia.
  • Frank, L.D. and Pivo, G. (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. DOI: https:// doi.org/10.3141/2323-07.
  • Freudenberg, M. (2003). Composite indicators of country performance. OECD Publishing.
  • Galanis, A. and Eliou, N. (2011). Evaluation of the pedestrian infrastructure using walkability indicators. WSEAS Transactions on Environment and Development. 7(12): 385-394. DOI: https://doi.org/10.1016/ S0950-0618 (02)00004-1.
  • Gallin, N. (2001). Quantifying pedestrian friendliness- guidelines for assessing pedestrian level of service. Road and Transport Research, 10(1): 47-55. DOI: https://doi.org/10.1007/s11116-006-9107-3.
  • Giles-Corti, B. and Donovan, R.J. (2003). Relative influences of individual, social environmental, and physical environmental correlates of walking. American journal of public health, 93(9): 1583-1589. DOI: https://doi.org/10.2105/AJPH.2018.304585.
  • Goh, E.G. and Noborio, K. (2015). Sensitivity Analysis and Validation for Numerical Simulation of Water Infiltration into Unsaturated Soil. International scholarly research notices.
  • Görener, A. (2012). Comparing AHP and ANP: an application of strategic decisions making in a manufacturing company. International Journal of Business and Social Science, 3(11). DOI: https://doi.org/10.30845/ ijbss.
  • Haghshenas, H. and Vaziri, M. (2012). Urban sustainable transportation indicators for global comparison. Ecological Indicators, 15(1): 115-121. DOI: https://doi. org/10.1016/j.ecolind.2006.01.003.
  • Hawthorne, W. (1989). Why Ontarians Walk, Why Ontarians Don't Walk More: A Study into the Walking Habits of Ontarians: Energy Probe Research Foundation.
  • Humpel, N., Owen, N. and Leslie, E. (2002). Environmental factors associated with adults' participation in physical activity: a review. American Journal of preventive medicine, 22(3):188-199. DOI: https://doi. org/10.5455/ajpmph.281781.
  • Jacobs, A.B. (1993). Great streets. ACCESS Magazine, 1(3).
  • Jollands, N. (2003). The usefulness of aggregate indicators in policy making and evaluation: a discussion with application to eco-efficiency indicators in New Zealand.
  • Juwana, I. (2012). Development of a water sustainability index for West Java,Indonesia. Victoria university.
  • Krajnc, D. and Glavič, P. (2005). A model for integrated assessment of sustainable development. Resources, Conservation and Recycling, 43(2): 189-208. DOI: https://doi.org/10.1016/j.resconrec.2004.06.002.
  • Krambeck, H.V. (2006). The global walkability index. (Master's), Massachusetts Institute of Technology.
  • Leslie, E., Coffee, N., Frank, L. and Owen, N. (2007). Walkability of local communities: Using geographic information systems to objectively assess relevant environmental attributes. Health & Place, 13: 111-122. DOI: https://doi.org/10.1016/j.healthplace. 2005.11.001.
  • Li, F., Liu, X., Hu, D., Wang, R., Yang, W., Li, D. and Zhao, D. (2009). Measurement indicators and an evaluation approach for assessing urban sustainable development: A case study for China's Jining City. Landscape and Urban Planning, 90(3): 134-142. DOI: https://doi.org/10.1016/j.landurbplan.2008.10.022.
  • Mahini, A.S. and Gholamalifard, M. (2006). Siting MSW landfills with a weighted linear combination methodology in a GIS environment. International Journal of Environmental Science & Technology, 3(4), 435-445. DOI: https://doi.org/10.1016/j.wasman.2010.01.015.
  • Motamed, B. and Bitaraf, A. (2016). An empirical assessment of the walking environment in a megacity: Case study of Valiasr Street ArchNet-IJAR, 10(3). DOI: https://doi.org/10.26687/archnet-ijar.v10i3.1024.
  • Mu, E. and Pereyra-Rojas, M. (2016). Practical Decision Making: An Introduction to the Analytic Hierarchy Process (ahp) Using Super Decisions (Vol. 2): Springer.
  • Nardo, M., Saisana, M., Saltelli, A. and Tarantola, S. (2005). Tools for composite indicators building.
  • National Census. (2017). Traffic accident census. http:// transportsafety.ir/
  • Owen, N., Humpel, N., Leslie, E., Bauman, A. and Sallis, J.F. (2004). Understanding environmental influences on walking: review and research agenda. American Journal of preventive medicine, 27(1): 6776. DOI: https://doi.org/10.1016/j.amepre.2004.03.006.
  • Pikora, T., Giles-Corti, B., Bull, F., Jamrozik, K. and Donovan, R. (2003). Developing a framework for assessment of the environmental determinants of walking and cycling. Social science & medicine, 56(8): 1693-1703. DOI: 10.1016/S0277-9536(02)00163-6.
  • Powell, K.E., Martin, L.M. and Chowdhury, P.P. (2003). Places to walk: convenience and regular physical activity. American Journal of public health, 93(9): 15191521. DOI: https://doi.org/10.2105/AJPH.93.9.1519.
  • Rebecchi, A., Buffoli, M., Dettori, M., Appolloni, L., Azara, A., Castiglia, P., D'Alessandro, D., Capolongo, S. (2019). Walkable Environments and Healthy Urban Moves: Urban Context Features Assessment Framework Experienced in Milan. Sustainability, 11 (10): 1-18. DOI: https://doi.org/10.3390/su11102778 .
  • Rikalovic, A., Cosic, I., Labati, R.D. and Piuri, V. (2015). A Comprehensive Method for Industrial Site Selection: The Macro-Location Analysis. IEEE Systems Journal, 11(4): 2971-2980. DOI: https://doi. org/10.1109/JSYST.2015.2444471.
  • Saaty, T.L. (1990a). Decision making for leaders: the analytic hierarchy process for decisions in a complex world: RWS publications.
  • Saaty, T.L. (1990b). How to make a decision: the analytic hierarchy process. European Journal of operational research, 48(1): 9-26. DOI: https://doi.org/10.1016/03772217(90)90057.
  • Saelens, B.E. Sallis, J.F. and Frank, L.D. (2003). Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures. Annals of behavioral medicine, 25(2): 80-91. DOI: https://doi.org/10.1207/S15324796ABM2502_03.
  • Saghayi, M. Sadeghi, Z. (2013). Mid-term planning for using bicycle to achieve sustainable development: Isfahan center case study, Urban Planning and Research, 4(12): 95-116.
  • Saisana, M. (2011). Weighting methods, Seminar on composite Indicators: From Theory to Practice, Ispra.
  • Sallis, J. Bauman, A. and Pratt, M. (1998). Environmental and policy interventions to promote physical activity. American Journal of preventive medicine, 15(4): 379-397. DOI: https://doi.org/10.1016/S07493797(98)00076-2.
  • San Francisco Department of Public Health. (2008). The Pedestrian Environmental Quality Index (PEQI): An assessment of the physical condition of streets and intersections, San Francisco: San Francisco Department of Public Health.
  • Sharma, M.J. Moon, I. and Bae, H. (2008). Analytic hierarchy process to assess and optimize distribution network. Applied Mathematics and Computation, 202(1): 256-265. DOI: https://doi.org/10.1016/j. procs.2015.07.005.
  • Southworth, M. (2005). Designing the walkable city. Journal of urban planning and development, 131(4): 246-257. DOI: https://doi.org/10.1061/(ASCE)07339488.
  • Tal, G. and Handy, S. (2012). Measuring nonmotorized accessibility and connectivity in a robust pedestrian network. Transportation Research Record: Journal of the Transportation Research Board, 2299(1): 48-56. DOI: https://doi.org/10.3141/2299-06.
  • Tribby, C.P. Miller, H.J. Brown, B.B. Werner, C.M. and Smith, K.R. (2016). Assessing Built Environment Walkability using Activity-Space Summary Measures. J Transp Land Use, 9(1): 187-207. DOI: https://doi. org/10.5198/jtlu.2015.625.
  • US Department of Health and Human Services. (1996). Physical activity and health: a report of the Surgeon General: Diane Publishing.
  • USDG. (2007). Urban Street Design Guidelines. City of Charlotte, Charlotte, NC.
  • Walkscore. (2019). www.walkscore.com.
  • Wright, C. MacDougall, C. Atkinson, R. and Booth, B. (1996). Exercise in daily life: supportive environments. Canberra, Commonwealth Government of Australia.
  • Zayed, M.A.A. (2016). The effect of landscape elements on walkability in Egyptian gated communities. ArchNet-IJAR, Archnet International Journal of Architectural Research, 10(2): 113-129. DOI: https://doi. org/10.26687/archnet-ijar.v10i2.956.
  • Zhou, P. Ang, B. and Poh, K. (2007). A mathematical programming approach to constructing composite indicators. Ecological economics, 62(2): 291-297. DOI: https://doi.org/10.1016/j.ecolecon.2006.12.020.
  • Zito, P. and Salvo, G. (2011). Toward an urban transport sustainability index: an European comparison. European Transport Research Review, 3(4): 179-195. DOI: https://doi.org/10.1007/s12544-011-0059-0.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171579840

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.