A street-point method to measure the spatiotemporal relationship between walkability and pedestrian flow

Jardim, Bruno; Neto, Miguel Sabino; Barriguinha, André

doi:10.1016/j.compenvurbsys.2023.101993

Cited by 9 publications

(2 citation statements)

References 59 publications

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“…Promoting walking as a mode of transportation is gaining attention from urban planners and policymakers due to its numerous benefits, including improved public health, reduced congestion, and lower environmental impact [26,34]. Discretionary walking, which refers to walking trips undertaken for leisure, recreational, or non-essential purposes, has emerged as a focal point in transportation research [27].…”

Section: Literature Reviewmentioning

confidence: 99%

The Influence of Origin Attributes on the Destination Choice of Discretionary Home-Based Walk Trips

Aghidi Kheyrabadi,

Mamdoohi

2024

IJGI

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Walking has been recognized as an important mode of transportation in recent years, and recent research has improved travel demand models for walk trips. One important added stage is the distribution of walk trips, which can be evaluated using destination choice models. Previous studies have overlooked the importance of origin trip attributes in the destination choice of walk trips. With the aim of improving destination choice models for discretionary home-based walk trips, a questionnaire based on the previous day’s walk trips was used, and 422 trips were collected from individuals. A discrete choice logit model is used for discretionary trips by utilizing policy-related variables, such as origin-sensitive variables, land-use-related variables, and socio-economic conditions of individuals. Additionally, a solution is proposed to address the issue of data scarcity in considering the choice set. The results demonstrate that origin land-use (LU) variables, such as LU diversity index and access to green spaces, as well as socio-economic variables, like age and homeownership status, are statistically significant in the destination choice of discretionary home-based walk trips. One prominent result is that reducing the diversity of unattractive LU compared to increasing the diversity of attractive LU has a greater impact on the destination choice of such trips. Specifically, a 1% increase in the diversity of attractive LU in the origin area leads to a 0.031% increase in the probability of choosing a destination within that area, while a 1% decrease in the diversity of unattractive LU results in a 0.124% increase in the probability of choosing a destination within the area. The findings can be utilized in urban LU distribution and assessing their impact on destination choice for walk trips, ultimately informing future urban planning efforts in the context of pedestrian mobility.

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Section: Literature Reviewmentioning

confidence: 99%

The Influence of Origin Attributes on the Destination Choice of Discretionary Home-Based Walk Trips

Aghidi Kheyrabadi,

Mamdoohi

2024

IJGI

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“…In the dynamic field of urban planning, the strategic identification of locations for pedestrian access stands as a critical challenge for constructing urban environments that are not only safe and efficient but also sustainable [1,2]. Despite the acknowledged importance of this endeavor, there remains a notable research gap in optimizing the selection of these locations, particularly in the integration of mathematical modeling methodologies and comprehensive multidisciplinary criteria [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Towards Sustainable Urban Futures: Integrating a Novel Grey Multi-Criteria Decision Making Model for Optimal Pedestrian Walkway Site Selection

Reyes-Norambuena,

Martinez-Torres,

Nemati

et al. 2024

Sustainability

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Today, urban development faces complex global challenges that require new approaches to influence its practices and policies. By prioritizing sustainability, mobility, and community resilience, we are moving towards a holistic approach that protects the well-being of residents and the environment. In this dynamic urban design environment, finding ways to identify pedestrian-friendly spaces and create safe, efficient, and sustainable urban environments is a major challenge, and it requires research that seeks to optimize this choice, especially in terms of integrating numerical modeling methods and a wide range of measurement tasks. This research is concerned with optimizing pedestrian accessibility, which directly contributes to reducing environmental impact, improving non-motorized transport, and reducing traffic congestion. It integrates a novel, mixed multi-criteria decision-making (MCDM) model that benefits from the use of Grey’s theory. This research’s purpose goes beyond addressing cities’ immediate challenges; it seeks to contribute to a broader understanding of sustainable urban planning. This study represents a pioneering effort to identify the challenges of optimal site selection for pedestrian walkways. By using a multi-criteria decision-making approach based on mathematical modelling and facility engineering, this effort addresses gaps in the current understanding of site selection criteria and aims to lead a paradigm shift toward a sustainable, efficient, and inclusive urban environment. The results show that the updated RANCOM-PIV greyscale is quite robust and reliable, when comparing the final results of the PIV greyscale and the MARCOS greyscale.

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Quantifying SLODs Risk and Mitigation Potential in Urban BE: A Behavioural Based Approach

Salvalai,

Quagliarini,

Blanco Cadena

et al. 2024

SpringerBriefs in Applied Sciences and Technology

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A street-point method to measure the spatiotemporal relationship between walkability and pedestrian flow

Cited by 9 publications

References 59 publications

The Influence of Origin Attributes on the Destination Choice of Discretionary Home-Based Walk Trips

The Influence of Origin Attributes on the Destination Choice of Discretionary Home-Based Walk Trips

Towards Sustainable Urban Futures: Integrating a Novel Grey Multi-Criteria Decision Making Model for Optimal Pedestrian Walkway Site Selection

Quantifying SLODs Risk and Mitigation Potential in Urban BE: A Behavioural Based Approach

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