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Walk Route: A New Methodology to Find the Optimal Walking Route in the City of Atlanta

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Planning Support Systems for Sustainable Urban Development

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC,volume 195))

Abstract

This paper demonstrates a new methodology for finding optimal walking routes according to user specified conditions selected from a set of attribute choices. The pedestrian network planning methodology discussed in this paper reflects the influence of environmental factors facilitating or impeding pedestrians’ propensity to walk. The principle tasks involved in applying this method include identifying attributes of walkability, weighting the importance of each attribute, evaluating the composite walking cost of each street segment, and identifying the optimal route by aggregating segments that minimize the total cost. A case study of the city of Atlanta is presented to demonstrate the application of this method and discuss its limitations.

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References

  • Arrington CE, Hillison W, Jensen RE (1984) An application of analytical hierarchy process to model expert judgments on analytical review procedures. J Acc Res 22(1):298–312

    Article  Google Scholar 

  • Boarnet M, Crane R (2001) The influence of land use on travel behavior: specification and estimation strategies. Transp Res a-Pol 35(9):823–845

    Google Scholar 

  • Bejleri I, Steiner RL, Fischman A, Schmucker JM (2011) Using GIS to analyze the role of barriers and facilitators to walking in children’s travel to school. Urban Des Int 16(1):51–62

    Article  Google Scholar 

  • Canepa B (2007) Bursting the bubble—determining the transit-oriented development’s walkable limits. Transp Res Rec 1992:28–34

    Article  Google Scholar 

  • Carr LJ, Dunsiger SI, Marcus BH (2010) Walk score (TM) as a global estimate of neighborhood walkability. Am J Prev Med 39(5):460–463

    Article  Google Scholar 

  • Calthorpe P (1993) The next american metropolis: ecology, community, and the american dream. Princeton Architectural Press, New York

    Google Scholar 

  • Cerin E, Saelens BE, Sallis JF, Frank LD (2006) Neighborhood environment walkability scale: validity and development of a short form. Med Sci Sport Exer 38(9):1682–1691

    Article  Google Scholar 

  • Cerin E, Macfarlane DJ, Ko HH, Chan KCA (2007) Measuring perceived neighbourhood walkability in Hong Kong. Cities 24(3):209–217

    Article  Google Scholar 

  • Crossman ND, Bryan BA, King D (2011) Contribution of site assessment toward prioritising investment in natural capital. Environ Model Softw 26(1):30–37

    Article  Google Scholar 

  • Cheng SC, Chou TC, Yang CL, Chang HY (2005) A semantic learning for content-based image retrieval using analytical hierarchy process. Expert Syst Appl 28(3):495–505

    Article  Google Scholar 

  • Devlin GJ, McDonnell K, Ward S (2008) Timber haulage routing in Ireland: an analysis using GIS and GPS. J Transp Geogr 16(1):63–72. doi:10.1016/j.jtrangeo.2007.01.008

    Article  Google Scholar 

  • Duncan DT, Aldstadt J, Whalen J, Melly SJ, Gortmaker SL (2011) Validation of walk score (R) for estimating neighborhood walkability: an analysis of four us metropolitan areas. Int J Env Res Pub He 8(11):4160–4179

    Article  Google Scholar 

  • Duany A, Plater-Zyberk E (1994) The neighborhood and the district. In: Katz Peter (ed) The new urbanism. McGraw Hill, Inc, New York

    Google Scholar 

  • Ericsson E, Larsson H, Brundell-Freij K (2006) Optimizing route choice for lowest fuel consumption—potential effects of a new driver support tool. Transp Res C-Emer 14(6):369–383

    Article  Google Scholar 

  • Frank LD, Engelke PO (2001) The built environment and human activity patterns: exploring the impacts of urban form on public health. J Plan Lit 16(2):202–218

    Article  Google Scholar 

  • Gauvin L, Richard L, Craig CL et al (2005) From walkability to active living potential—an “ecometric” validation study. Am J Prev Med 28(2):126–133

    Article  Google Scholar 

  • Hudecek T (2008) Model of time accessibility by individual car transportation. Geografie-Prague 113(2):140–153

    Google Scholar 

  • Javadian M, Shamskooshki H, Momeni M (2011) Application of sustainable urban development in environmental suitability analysis of educational land use by using AHP and GIS in Tehran. Int Conf Green Buildings Sustainable Cities 21:72–80

    Google Scholar 

  • Kerr J, Rosenberg D, Sallis JF, Saelens BE, Frank LD, Conway TL (2006) Active commuting to school: Associations with environment and parental concerns. Med Sci Sport Exer 38(4):787–794

    Article  Google Scholar 

  • Lathey V, Guhathakurta S, Aggarwal RM (2009) The Impact of Subregional Variations in Urban Sprawl on the Prevalence of Obesity and Related Morbidity. J Plan Educ Res 29(2):127–141

    Article  Google Scholar 

  • Leslie E, Cerin E, duToit L, Owen N, Bauman A (2007) Objectively assessing ‘walkability’ of local communities: using GIS to identify the relevant environmental attributes. Lec Not Geo Carto:90–104

    Google Scholar 

  • Leslie E, Saelens B, Frank L, Owen N, Bauman A, Coffee N, Hugo G (2005) Residents’ perceptions of walkability attributes in objectively different neighbourhoods: a pilot study. Health Place 11:227–236

    Article  Google Scholar 

  • Lu ZP, Rodiek SD, Shepley MM, Duffy M (2011) Influences of physical environment on corridor walking among assisted living residents: findings from focus group discussions. J Appl Gerontol 30(4):463–484

    Article  Google Scholar 

  • McDonald NC (2008) The effect of objectively measured crime on walking in minority adults. Am J Health Promot 22(6):433–436

    Article  Google Scholar 

  • Merom D, Bauman A, Phongsavan P, Cerin E, Kassis M, Brown W, Smith BJ, Rissel C (2009) Can a motivational intervention overcome an unsupportive environment for walking-findings from the step-by-step study. Ann Behav Med 38:137–146

    Article  Google Scholar 

  • Muraleetharan T, Hagiwara T (2007) Overall level of service of urban walking environment and its influence an pedestrian route choice behavior—analysis of pedestrian travel in Sapporo, Japan. Transp Res Record 2002:7–17

    Article  Google Scholar 

  • Moudon AV, Lee C, Cheadle AD, Garvin C, Johnson DB, Schmid TL, Weathers RD (2007) Attributes of environments supporting walking. Am J Health Promot 21:448–459

    Article  Google Scholar 

  • Norman J, MacLean HL, Kennedy CA (2006) Comparing high and low residential density: life-cycle analysis of energy use and greenhouse gas emissions. J Urban Plan D-Asce 132(1):10–21

    Article  Google Scholar 

  • Piltan M, Mehmanchi E, Ghaderi SF (2012) Proposing a decision-making model using analytical hierarchy process and fuzzy expert system for prioritizing industries in installation of combined heat and power systems. Expert Syst Appl 39(1):1124–1133

    Article  Google Scholar 

  • Saaty TL, Vargas LG (1980) Hierarchical analysis of behavior in competition—prediction in chess. Behav Sci 25(3):180–191

    Article  Google Scholar 

  • Saelens BE, Sallis JF, Frank LD (2003a) Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures. Ann Behav Med 25(2):80–91

    Article  Google Scholar 

  • Saelens BE, Sallis JF, Black JB, Chen D (2003b) Neighborhood-based differences in physical activity: an environment scale evaluation. Am J Public Health 93(9):1552–1558

    Article  Google Scholar 

  • Strath S, Isaacs R, Greenwald MJ (2007) Operationalizing environmental indicators for physical activity in older adults. J Aging Phys Activ 15(4):412–424

    Google Scholar 

  • Shigematsu R, Sallis JF, Conway TL, Saelens BE, Frank LD, Cain KL, Chapman JE, King AC (2009) Age differences in the relation of perceived neighborhood environment to walking. Med Sci Sport Exer 41:314–321

    Google Scholar 

  • Shen SZ (2010) The application of analytical hierarchy process in evaluating healthcare systems. Model Simul 6:93–96

    Google Scholar 

  • Todd AL (2012) Evaluating accessibility for transportation planning. Victoria Transport Policy Institute

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of City and Regional Planning, Georgia Institute of Technology, Atlanta, USA

    Subhrajit Guhathakurta & Ramachandra Sivakumar

  2. College of Life Sciences, Zhejiang University, Hangzhou, China

    Ge Zhang

  3. School of Computer Science, Georgia Institute of Technology, Atlanta, USA

    Manoj K. Panguluru

Authors
  1. Subhrajit Guhathakurta
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  2. Ge Zhang
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  3. Manoj K. Panguluru
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  4. Ramachandra Sivakumar
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Corresponding author

Correspondence to Subhrajit Guhathakurta .

Editor information

Editors and Affiliations

  1. , Faculty of Geosciences, University of Utrecht, Heidelberglaan, Utrecht, 3508, Netherlands

    Stan Geertman

  2. , Faculty of Geosciences, Departm., Utrecht University, Heidelberglaan 2, Utrecht, 3508, Utrecht, Netherlands

    Fred Toppen

  3. , School of Geography, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, United Kingdom

    John Stillwell

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Guhathakurta, S., Zhang, G., Panguluru, M.K., Sivakumar, R. (2013). Walk Route: A New Methodology to Find the Optimal Walking Route in the City of Atlanta. In: Geertman, S., Toppen, F., Stillwell, J. (eds) Planning Support Systems for Sustainable Urban Development. Lecture Notes in Geoinformation and Cartography, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37533-0_18

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