Developing a GIS-Based Tourist Walkability Index Based on the AURIN Walkability Toolkit—Case Study: Sydney CBD

Abyaneh, Arsham Bassiri; Allan, Andrew; Pieters, Johannes; Davison, Graeme

doi:10.1007/978-3-030-76059-5_13

Cited by 5 publications

(7 citation statements)

References 25 publications

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“…In recent years, a wide variety of approaches and applications have been developed in the field of digital tools and 3D models to address the study of various properties and characteristics [26][27][28][29][30], such as 3D modelling, satellite images, point clouds, and even gamification, allowing users to evaluate physical attributes, such as ground surface and pavement conditions, urban planning, people and vehicular dynamics, and weather conditions, among others. These methods not only allow for the evaluation of physical attributes, such as ground surface and topographical conditions using digital terrain models [20,[31][32][33], but also delve into more detailed aspects of the urban environment being studied, such as the identification of urban furniture, like lampposts, trees, traffic, and pedestrian signs, and so on [34][35][36].…”

Section: Street Digitizationmentioning

confidence: 99%

3D Point Cloud and GIS Approach to Assess Street Physical Attributes

Orozco Carpio,

Viñals,

López-González

2024

Smart Cities

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The present research explores an innovative approach to objectively assessing urban streets attributes using 3D point clouds and Geographic Information Systems (GIS). Urban streets are vital components of cities, playing a significant role in the lives of their residents. Usually, the evaluation of some of their physical attributes has been subjective, but this study leverages 3D point clouds and digital terrain models (DTM) to provide a more objective perspective. This article undertakes a micro-urban analysis of basic physical characteristics (slope, width, and human scale) of a representative street in the historic centre of Valencia (Spain), utilizing 3D laser-scanned point clouds and GIS tools. Applying the proposed methodology, thematic maps were generated, facilitating the objective identification of areas with physical attributes more conducive to suitable pedestrian dynamics. This approach provides a comprehensive understanding of urban street attributes, emphasizing the importance of addressing their assessment through advanced digital technologies. Moreover, this versatile methodology has diverse applications, contributing to social sustainability by enhancing the quality of urban streets and open spaces.

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Section: Street Digitizationmentioning

confidence: 99%

3D Point Cloud and GIS Approach to Assess Street Physical Attributes

Orozco Carpio,

Viñals,

López-González

2024

Smart Cities

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“…In our approach, we use this quantity to assess isolation, the ISL(i) of a node (7). To evaluate integration, the INT(i) of a node (8), we use the FPT (13) calculated for the anisotropic RBW random walks (5) and denoted as FPT ∞ (i). As the RBW walks (5) are statistically bound to the graph nodes hosting the majority of very long walks, but repelled from the graph structural defects and boundaries, FPT ∞ (i) ≪ FPT 1 (i), for the walking hubs i, at the crossroads of very long walks, far apart from the graph structural irregularities, even though their immediate connectivity (degree) is not very high.…”

Section: Integration Index Of a Node (Int)mentioning

confidence: 99%

“…To evaluate integration, the INT(i) of a node (8), we use the FPT (13) calculated for the anisotropic RBW random walks (5) and denoted as FPT ∞ (i). As the RBW walks (5) are statistically bound to the graph nodes hosting the majority of very long walks, but repelled from the graph structural defects and boundaries, FPT ∞ (i) ≪ FPT 1 (i), for the walking hubs i, at the crossroads of very long walks, far apart from the graph structural irregularities, even though their immediate connectivity (degree) is not very high. Alternatively, considering that the probability of finding an RBW-walker in a remote node i ∈ V, which is not significant for the system of very long walks in the graph, is very low, we can conclude that for such a node, it should be FPT ∞ (i) ≫ FPT 1 (i).…”

Section: Integration Index Of a Node (Int)mentioning

confidence: 99%

“…The physical environment of a university campus provides American students with a rare, if not unique, opportunity to experience walking not only as the most natural mode of transportation but also as a culture that positively impacts cognitive functions like creativity, memory, and concentration [1,3]. It also improves community health by promoting social interactions, economic aspects, and environmental impact [3][4][5].…”

Section: Introduction-walkability In a Campus Pedestrian Networkmentioning

confidence: 99%

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University Campus as a Complex Pedestrian Dynamic Network: A Case Study of Walkability Patterns at Texas Tech University

Salkhi Khasraghi,

Volchenkov,

Nejat

et al. 2023

Mathematics

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Statistical mechanics of walks defined on the spatial graphs of the city of Lubbock (10,421 nodes) and the Texas Tech University (TTU) campus pedestrian network (1466 nodes) are used for evaluating structural isolation and the integration of graph nodes, assessing their accessibility and navigability in the graph, and predicting possible graph structural modifications driving the campus evolution. We present the betweenness and closeness maps of the campus, the first passage times to the different campus areas by isotropic and anisotropic random walks, as well as the first passage times under the conditions of traffic noise. We further show the isolation and integration indices of all areas on the campus, as well as their navigability and strive scores, and energy and fugacity scores. The TTU university campus, a large pedestrian zone located close to the historical city center of Lubbock, mediates between the historical city going downhill and its runaway sprawling body.

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“…To conduct the analyses, first, the locations of UGSs at the scale of the Adelaide Metropolitan Area at the local government area level were Identified using the AURIN's dataset of 'PSMA -Transport & Topography -Greenspace (Polygon) August 2020'. AURIN which stands for Australian Urban Research Infrastructure Network, provides a portal in which researchers can access a vast range of datasets and computational tools for analysing, synthesising and visualising the urban and geographical data for all Australian cities (Bassiri Abyaneh et al, 2021).…”

Section: Case Studymentioning

confidence: 99%

Investigation of Urban Green Space (Ugs) Accessibility in Adelaide Metropolitan Area Using Network Analyst

Teimouri

Karuppannan²,

Sivam³

et al. 2022

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

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Abstract. Urban Green Space (UGS) is one of the essential components of the urban systems for promoting quality of life in urban areas and sustainability. Planning and designing accessible public green spaces are critical for urban life as cities' most available natural environment. Walkable accessibility of UGS is one of the essential indicators of people's health and wellbeing. This paper aims to evaluate the walking accessibility of UGS through Adelaide Metropolitan Area at the local councils level using Network Analyst in GIS. The results show that the councils of Norwood Payneham and St Peters, Charles Sturt and the City of Adelaide have the most walking accessibility to UGS for the residents in their area. In contrast, Mount Barker, Playford and Adelaide Hills councils have the least walking accessibility. Therefore, UGS distribution is unequal throughout the study area, and local councils close to or around the inner part of the metropolitan area have more accessible green spaces.

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Developing a GIS-Based Tourist Walkability Index Based on the AURIN Walkability Toolkit—Case Study: Sydney CBD

Cited by 5 publications

References 25 publications

3D Point Cloud and GIS Approach to Assess Street Physical Attributes

3D Point Cloud and GIS Approach to Assess Street Physical Attributes

University Campus as a Complex Pedestrian Dynamic Network: A Case Study of Walkability Patterns at Texas Tech University

Investigation of Urban Green Space (Ugs) Accessibility in Adelaide Metropolitan Area Using Network Analyst

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