Abstract
In last decades, we assist to a constant, growing attention on urban walkability. Despite copious studies analyse the components of pedestrian spaces, little attention is given to road intersections, elements of interruption and obstacle of the walking paths. This study proposes a multi-criteria spatial analysis method of road intersections aimed to classify and prioritise actions for the implementation of pedestrian-oriented mobility policies. The method reveals the spatial elements to improve for enhancing walkability. An application to the city of Alghero revealed safety and comfort as the main factors that limit the propensity to walk and therefore need to be tackled through specific policies and interventions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Balfour JL, Kaplan GA (2002) Neighborhood environment and loss of physical function in older adults: evidence from the Alameda County study. Am J Epidemiol 155(6):507–515
Berrigan D, Pickle LZ, Dill J (2010) Associations between street connectivity and active transportation. Int J Health Geogr 9:20
Bian Y, Lu J, Zhao L (2013) Method to determine pedestrians level of service for unsignalized intersections. Appl Mech Mater 253–255:1936–1943
Blečić I, Cecchini A, Congiu T, Fancello, G, Trunfio GA (2014) Walkability explorer: An evaluation and design support tool for walkability. Comput Sci Appl 8582:511–521
Blečić I, Cecchini A, Congiu T, Fancello G, Trunfio GA (2015) Evaluating walkability: a capability-wise planning and design support system. Int J Geogr Inf Sci 29(8):1350–1374
Blečić I, Canu D, Cecchini A, Congiu T, Fancello G (2016) Factors of perceived walkability: a pilot empirical study. Comput Sci Appl 9789:125–137
Blečić I, Canu D, Cecchini A, Congiu T, Fancello G (2017) Walking across rural-urban fringe: the hindering effect of intersections. Sustainability 9(6):883
Bouyssou D, Marchant T, Pirlot M, Tsoukiàs A, Vincke P (2006) Evaluation and decision models with multiple criteria: stepping stones for the analyst. Springer Science & Business Media Inc., New York, USA
Cervero R, Kockelman K (1997) Travel demand and the 3Ds: density, diversity, and design. Transp Res D 2:199–219
Dill J (2004) Measuring network connectivity for bicycling and walking. In: 83rd annual meeting of the Transportation Research Board. Washington DC, USA, pp 11–15
Ewing R, Handy S (2009) Measuring the unmeasurable: urban design qualities related to walkability. J Urban Des 14(1):65–84
Fancello G, Carta M, Fadda P (2014) A decision support system based on electre III for safety analysis in a suburban road network. Transp Res Procedia 3:175–184
Forsyth A, Hearst M, Oakes JM, Schmitz KH (2008) Design and destinations: factors influencing walking and total physical activity. Urban Stud 45(9):1973–1996
Gonzalo-Orden H, Rojo M, Pérez-Acebo H, Linares A (2016) Traffic calming measures and their effect on the variation of speed. Transp Res Procedia 18:349–356
Hubbard SML, Bullock DM, Mannering FL (2009) Right turns on green and pedestrian level of service. Stat Assess J Transp Eng 135:153–159
Jacobsen PL, Racioppi F, Rutter H (2009) Who owns the roads? How motorised traffic discourages walking and bicycling. Inj Prev 15(6):369–373
Kadali BR, Vedagiri P (2015) Evaluation of pedestrian crosswalk level of service (LOS) in perspective of type of land-use. Transp Res A 73:113–124
Karndacharuk A, Wilson D, Dunn R (2014) A review of the evolution of shared (street) space concepts in urban environments. Transp Rev 34(2):190–220
Landis BW, Petritsch TA, McLeod PS, Huang HF, Guttenplan M (2005) Video simulation of pedestrian crossings at signalized intersections. Transp Res Rec 1920:49–56
Langlois JA, Keyl PM, Guralnik JM, Foley DJ, Marottoli RA, Wallace RB (1997) Characteristics of older pedestrians who have difficulty crossing the street. Am J Public Health 87(3):393–397
Li B (2013) A model of pedestrians’ intended waiting times for street crossings at signalized intersections. Transp Res B 51:17–28
Litman T (2000) Transportation cost analysis; techniques, estimates and implications. Victoria Transport Policy Institute, Victoria. www.vtpi.org
Martin A (2012) Factors influencing pedestrian safety: a literature review. TRL Limited, London, UK
Muraleetharan T, Adachi T, Hagiwara T, Kagaya S (2005) Method to determine pedestrian level-of-service for crosswalks at urban intersections. J East Asia Soc Transp Stud 6:127–136
Nasar JL, Holloman C, Abdulkarim D (2015) Street characteristics to encourage children to walk. Transp Res A 72:62–70
Peprah C, Oduro CY, Afi Ocloo K (2014) On-street parking and pedestrian safety in the Kumasi metropolis: issues of culture and attitude. Dev Country Stud 4(20):85–94
Petritsch TA, Landis BW, Mcleod HF, Huang HF, Challa HS, Guttenplan M (2005) Level of service model for signalized intersections for pedestrians. Transp Res Rec 1939:55–62
Roy B (1990) Decision aid and decision making. Eur J Oper Res 45:324–331
Roy B, Bouyssou D (1993) Aide Multicritère à la Décision: Méthodes et Cas. Economica, Paris, FR
Schlossberg M, Johnson-Shelton D, Evers C, Moreno G (2000) Refining the grain: using resident-based walkability audits to better understand walkable urban form. J urbanism 8(3):260–278
Sisiopiku VP, Akin D (2003) Pedestrian behaviors at and perceptions towards various pedestrian facilities: An examination based on observation and survey data. Transp Res F 6:249–274
Sousa N, Coutinho-Rodrigues J, Natividade-Jesus E (2017) Sidewalk infrastructure assessment using a multicriteria methodology for maintenance planning. J Infrastruct Syst 23(4):05017002
Stangl P, Guinn JM (2011) Neighborhood design, connectivity assessment and obstruction. Urban Des Int 16:285–296
Transportation Research Board (2000) Highway capacity manual. TRB National Research Council, Washington D.C., USA
Acknowledgements
Thanks for the thesis: “A special thanks goes to Andrea Cappai who collected the data of this research during his thesis”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Canu, D., Congiu, T., Fancello, G. (2018). A Spatial Multi-criteria Analysis Method for the Assessment of Walkability to Guide the Design of Interventions in Urban Crossings. In: Papa, R., Fistola, R., Gargiulo, C. (eds) Smart Planning: Sustainability and Mobility in the Age of Change. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-77682-8_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-77682-8_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77681-1
Online ISBN: 978-3-319-77682-8
eBook Packages: EnergyEnergy (R0)