Preference for Street Environment Based on Route Choice Behavior While Walking

Jin, Lan; Lu, Wei; Sun, Peijin

doi:10.3389/fpubh.2022.880251

Cited by 4 publications

(2 citation statements)

References 55 publications

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“…(Neeraj et al, 2020) investigates pedestrian choices of shorter and more direct paths despite they are forbidden. Other authors tried to investigate the pedestrians and cyclists route choices both through visual analysis and surveys considering different users attributes and scopes (López-Lambas et al, 2021) (Jin et al, 2022) and their attitude towards "green paths" (Lin et al, 2022). Different types of users (different age, gender, scope of the journey, choice of the travel mode) are all influenced and influence in turn, the path choice.…”

Section: Characteristics Of the Streetmentioning

confidence: 99%

Mobile Mapping to Support an Integrated Transport-Territory Modelling Approach

Alberti

Alessandrini

Bubboloni

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Transport planning and mobility management is nowadays of paramount importance, particularly in the urban context where innovative, sustainable, smart, and green mobility solutions are required to satisfy the citizen’s needs. Such ambitious objective requires a multidisciplinary research approach to address the problem from different perspectives from urban and geographical analysis to social studies including 3D mapping and urban infrastructure analysis. To collect and manage huge amount of data acquired and produced, big data and IOT/IOE technologies are exploited together with 3D city digital twin representations of the urban scenario to simulate, plan and evaluate urban policies and guide the urban development of the future. In this paper, the activities that will be carried out by an interdisciplinary group of researchers of the University of Florence, within the sustainable mobility centre (MOST), are presented and discussed.

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Section: Characteristics Of the Streetmentioning

confidence: 99%

Mobile Mapping to Support an Integrated Transport-Territory Modelling Approach

Alberti

Alessandrini

Bubboloni

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…However, there are certain problems with street pedestrian traffic in some small and medium-sized cities. For example, the walking facilities are not continuous, the walking environment is not friendly enough, and the walkability is unfriendly [7]. These problems not only affect residents' willingness to walk, but also increase the frequency of residents using motor vehicles to travel.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Pedestrian Environment Using DeepLab Models Based on Street Walkability in Small and Medium-Sized Cities: Case Study in Gaoping, China

et al. 2022

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In small and medium-sized cities of China, walking plays an important role as a green and healthy way to travel. However, the intensification of motorized travel and poor planning of pedestrian transportation systems have resulted in poor travel experiences for residents. To encourage residents to change their mode of travel from motorized transport to greener modes, it is necessary to consider the characteristics of walking travel, design good walking street environments, and increase the advantages of walking in the downtown areas of small and medium-sized cities. In this study, a spatial environment model of a pedestrian street was constructed based on the walking score. Visual perception elements, street function elements, and walking scale elements were acquired by semantic segmentation of Baidu street view images obtained with the DeepLab model. Points of interest (POI) were obtained based on surveys, measurements, and the space syntax. Considering walking distances for small and medium-sized cities, the attenuation coefficient of a reasonable facility distance was adopted to modify the walking score. Based on the comprehensive score obtained, walking paths were divided into four categories: functionally preferred, visually preferred, scale preferred, and environmentally balanced. This categorization provides theoretical support for the design of pedestrian street space environments. Taking the pedestrian street in the city center of Gaoping in Shanxi Province, China as an example, the feasibility of the method and model was verified.

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The impact of street-scale built environments on urban park visitations: A case study in Wuhan

Zhang,

Guan,

et al. 2024

Applied Geography

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Preference for Street Environment Based on Route Choice Behavior While Walking

Cited by 4 publications

References 55 publications

Mobile Mapping to Support an Integrated Transport-Territory Modelling Approach

Mobile Mapping to Support an Integrated Transport-Territory Modelling Approach

Evaluating Pedestrian Environment Using DeepLab Models Based on Street Walkability in Small and Medium-Sized Cities: Case Study in Gaoping, China

The impact of street-scale built environments on urban park visitations: A case study in Wuhan

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