Planning and Design Support Tools for Walkability: A Guide for Urban Analysts

Blečić, Ivan; Congiu, Tanja; Fancello, Giovanna; Trunfio, Giuseppe A.

doi:10.3390/su12114405

Cited by 51 publications

(22 citation statements)

References 90 publications

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“…Furthermore, the neighborhood walkability score was significantly correlated with walking for transport [14,15,45,46]. However, these studies have used different built environment attributes to measure the walkability index [47]. The environmental factors mostly used to measure walkability index in these studies include accessibility of destinations (stores, park, and beach), mixed land use, street connectivity, comfort, traffic safety, personal security, and pleasantness [47].…”

Section: Utilitarian Walking (Walking For Transport) In Physical Activity and Public Health Studiesmentioning

confidence: 99%

“…However, these studies have used different built environment attributes to measure the walkability index [47]. The environmental factors mostly used to measure walkability index in these studies include accessibility of destinations (stores, park, and beach), mixed land use, street connectivity, comfort, traffic safety, personal security, and pleasantness [47]. Finally, the contribution of attitudes toward walking, such as enjoyment, importance, and positive experience in the past [12,19,48], and walking environment, such as social contact [13,38] were indicated to be associated with walking for transport.…”

Section: Utilitarian Walking (Walking For Transport) In Physical Activity and Public Health Studiesmentioning

confidence: 99%

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Walking toward Metro Stations: the Contribution of Distance, Attitudes, and Perceived Built Environment

2020

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Walking as an active means of travel is important as a sustainable mode of transport. Moreover, the level of walking in the surrounding areas of metro stations would contribute to maintaining the minimum rate of physical activity and, therefore, inhabitants’ general health. This study examined the impacts of walking attitude, walking distance, and perceived built environment on walking behavior for reaching the metro stations in Shiraz, Iran. Three metro stations were selected and a quantitative approach was used to examine the objectives. It was found that the average walking distance is less than the average in developed countries, such as the United States. People walked more when there was a shorter distance between their starting points and the metro stations. The contribution of walking attitudes and several built environment attributes to walking behavior was demonstrated. Finding the contribution of aesthetic attributes, such as accessibility to parks and housing types of the starting points of the walking trips, to walking for transport are taken into account as the novelties of this study. Policy makers of this city may apply the findings of this study—especially around the metro stations—to improve the average walking distance as well as walking behavior.

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Section: Utilitarian Walking (Walking For Transport) In Physical Activity and Public Health Studiesmentioning

confidence: 99%

Section: Utilitarian Walking (Walking For Transport) In Physical Activity and Public Health Studiesmentioning

confidence: 99%

Walking toward Metro Stations: the Contribution of Distance, Attitudes, and Perceived Built Environment

2020

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“…Pedestrian movements are an important segment of the entire urban mobility and sustainable urban planning and design has to consider walkability of urban spaces as an important issue. The analysis and evaluation of walkability is the subject of numerous works in the literature [1,2]. Different works show evaluations of walkability through specific indicators [1][2][3] also developed through some software tools for the evaluation of walkability [4].…”

Section: Introductionmentioning

confidence: 99%

Development of Models for Children—Pedestrian Crossing Speed at Signalized Crosswalks

et al. 2021

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Modeling the behavior of pedestrians is an important tool in the analysis of their behavior and consequently ensuring the safety of pedestrian traffic. Children pedestrians show specific traffic behavior which is related to cognitive development, and the parameters that affect their traffic behavior are very different. The aim of this paper is to develop a model of the children-pedestrian’s speed at a signalized pedestrian crosswalk. For the same set of data collected in the city of Osijek—Croatia, two models were developed based on neural network and multiple linear regression. In both cases the models are based on 300 data of measured children speed at signalized pedestrian crosswalks on primary city roads located near a primary school. As parameters, both models include the selected traffic infrastructure features and children’s characteristics and their movements. The models are validated on data collected on the same type of pedestrian crosswalks, using the same methodology in two other urban environments—the city of Rijeka, Croatia and Enna in Italy. It was shown that the neural network model, developed for Osijek, can be applied with sufficient reliability to the other two cities, while the multiple linear regression model is applicable with relatively satisfactory reliability only in Rijeka. A comparative analysis of the statistical indicators of reliability of these two models showed that better results are achieved by the neural network model.

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“…Traditionally, most of these components have been measured by static indicators, such as sidewalk width and the presence/absence of street furniture. Some notable walkability assessment studies include Abley and Turner (2011) ; Blečić et al (2020 ); Cain et al (2014) , Clifton et al (2007) , Loo (2021) , and Sarkar et al (2015) . In smart cities, our knowledge regarding the effectiveness of these elements can now be measured.…”

Section: Literature Backgroundmentioning

confidence: 99%

Street life and pedestrian activities in smart cities: opportunities and challenges for computational urban science

Fan

Loo

2021

Comput.Urban Sci.

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Ongoing efforts among cities to reinvigorate streets have encouraged innovations in using smart data to understand pedestrian activities. Empowered by advanced algorithms and computation power, data from smartphone applications, GPS devices, video cameras, and other forms of sensors can help better understand and promote street life and pedestrian activities. Through adopting a pedestrian-oriented and place-based approach, this paper reviews the major environmental components, pedestrian behavior, and sources of smart data in advancing this field of computational urban science. Responding to the identified research gap, a case study that hybridizes different smart data to understand pedestrian jaywalking as a reflection of urban spaces that need further improvement is presented. Finally, some major research challenges and directions are also highlighted.

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Planning and Design Support Tools for Walkability: A Guide for Urban Analysts

Cited by 51 publications

References 90 publications

Walking toward Metro Stations: the Contribution of Distance, Attitudes, and Perceived Built Environment

Walking toward Metro Stations: the Contribution of Distance, Attitudes, and Perceived Built Environment

Development of Models for Children—Pedestrian Crossing Speed at Signalized Crosswalks

Street life and pedestrian activities in smart cities: opportunities and challenges for computational urban science

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