Abstract
We present a design support tool which generates outlines of urban projects targeting user-defined walkability objectives. The tool is part of our ongoing research effort to develop not only evaluative, but also generative tools, to be used during the design process, assisting architects and urban planners in designing more walkability of cities. The tool couples the capability-wise walkability score (CAWS) evaluation method with the NSGA-II multi-objective genetic algorithm, to generate a set of non-dominated solutions whose properties and expected effects can be explored within the software tool.
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References
Cervero, R., Duncan, M.: Walking, bicycling, and urban landscapes: evidence from the San Francisco bay area. Am. J. Public Health 93(9), 1478–1483 (2003)
Livi, A.D., Clifton, K.J.: Issues and methods in capturing pedestrian behaviors, attitudes and perceptions: experiences with a community-based walkability survey. In: Transportation Research Board Annual Meeting, April 2004
Porta, S., Renne, J.L.: Linking urban design to sustainability: formal indicators of social urban sustainability field in Perth, Western Australia. Urban Des. Int. 10(1), 51–64 (2005)
Frank, L.D., Sallis, J.F., Conway, T.L., Chapman, J.E., Saelens, B.E., Bachman, W.: Many pathways from land use to health: associations between neighborhood walkability and active transportation, body mass index, and air quality. J. Am. Plann. Assoc. 72(1), 75–87 (2006)
Clifton, K.J., Smith, A.D.L., Rodriguez, D.: The development and testing of an audit for the pedestrian environment. Lanscape Urban Plann. 80, 95–110 (2007)
Speck, J.: Walkable City: How Downtown Can Save America, One Step at a Time. Macmillan, New York (2012)
Paez, A.: Mapping travelers attitudes: does space matter? J. Transp. Geogr. 26, 117–125 (2013)
Forsyth, A.: What is a walkable place? The walkability debate in urban design. Urban Des. Int. 20(4), 274–292 (2015)
Blečić, I., Cecchini, A., Congiu, T., Fancello, G., Trunfio, G.A.: Evaluating walkability: a capability-wise planning and design support system. Int. J. Geograph. Inf. Sci. 29(3), 349–374 (2015)
Capp, C.J., Maghelal, P.K.: A review of existing pedestrian indices. J. Urban Reg. Inf. Syst. Assoc. 23(2), 5–19 (2011)
Saelens, B.E., Handy, S.L.: Built environment correlates of walking: a review. Med. Sci. Sports Exerc. 40(7), 550–566 (2008)
Talen, E., Koschinsky, J.: The walkable neighborhood: a literature review. Int. J. Sustain. Land Use Urban Plann. IJSLUP 1(1), 42–63 (2013)
Blečić, I., Cecchini, A., Congiu, T., Fancello, G., Trunfio, G.A.: Walkability explorer: an evaluation and design support tool for walkability. In: Murgante, B., et al. (eds.) ICCSA 2014. LNCS, vol. 8582, pp. 511–521. Springer, Cham (2014). doi:10.1007/978-3-319-09147-1_37
Blečić, I., Cecchini, A., Congiu, T., Fancello, F., Fancello, G., Trunfio, G.A.: Walkability explorer: application to a case-study. In: Gervasi, O., et al. (eds.) ICCSA 2015. LNCS, vol. 9157, pp. 758–770. Springer, Cham (2015). doi:10.1007/978-3-319-21470-2_55
Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269–271 (1959)
Coello Coello, C.A., Van Veldhuizen, D.A., Lamont, G.B.: Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, New York (2002)
Fonseca, C.M., Fleming, P.J.: An overview of evolutionary algorithms in multiobjective optimization. Evol. Comput. 3(1), 1–16 (1995)
Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)
Jensen, M.T.: Reducing the run-time complexity of multiobjective EAs: the NSGA-II and other algorithms. IEEE Trans. Evol. Comput. 7(5), 503–515 (2003)
Blečić, I., Cecchini, A., Trunfio, G.A.: A decision support tool coupling a causal model and a multi-objective genetic algorithm. Appl. Intell. 26–2, 125–137 (2007)
Yen, J.Y.: Finding the K shortest loopless paths in a network. Manag. Sci. 17(11), 712–716 (1971)
Goldberg, D.: Genetic Algorithms and Evolution Strategy in Engineering and Computer Science: Recent Advances and Industrial Applications. Wiley, New York (1998)
Blečić, I., Canu, D., Cecchini, A., Congiu, T., Fancello, G.: Factors of perceived walkability: a pilot empirical study. In: Gervasi, O., et al. (eds.) ICCSA 2016. LNCS, vol. 9789, pp. 125–137. Springer, Cham (2016). doi:10.1007/978-3-319-42089-9_9
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Blecic, I., Cecchini, A., Trunfio, G.A. (2017). Computer-Aided Drafting of Urban Designs for Walkability. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10407. Springer, Cham. https://doi.org/10.1007/978-3-319-62401-3_51
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