Modelling the impact of fused grid network design on mode choice behaviour

Masoud, Abdul Rahman; Idris, Ahmed Osman; Lovegrove, Gord

doi:10.1016/j.jth.2019.100627

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…The neighborhood was then hypothetically retrofitted, similar to Masoud et al ( 68 ), using SMARTer Growth (SG) design principles ( 69 ). This hypothetical neighborhood retrofit included a series of local road closures to prevent shortcutting.…”

Section: Case Studymentioning

confidence: 99%

Learning-Based Model for Evaluating the Impact of Neighborhood Design on Travel Behavior

Masoud

Idris

Lovegrove

2022

Transportation Research Record: Journal of the Transportation R

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This research developed an agent-based model that evaluates the impact of neighborhood design on travel behavior while accounting for habit formation, social interactions, various levels of information provision, and awareness of transport and land use system changes. The developed model employs a framework that integrates random utility maximization theory with reinforcement learning concepts to account for the bounded rationality and knowledge learning process. Moreover, the model utilizes the diffusions of innovations theory to simulate how agents propagate information across family members and co-workers. It also adds a time dimension to the modal shift process, which could be used to indicate the relative duration to reap the full benefits of proposed scenarios. The model was applied to a neighborhood in Kelowna, British Columbia, Canada, to assess the impact on travel behavior of the SMARTer growth principles. The results showed that retrofitting non-motorized networks has more impact on modal shift than retrofitting road networks. This implies that infrastructure investments related to providing more accessibility for non-motorized users may be more socially and sustainably profitable than investments in policies targeting auto users. In addition, the results revealed that land use policies led to higher modal shift to non-motorized modes compared to retrofitting the transportation network, which highlights the importance of integrating land use and transportation planning. Similarly, the results demonstrated that transportation demand management policies can provide a positive stimulus to commuters to maintain familiarity with active transportation (AT) modes, which led in the presented case study to an increase in AT modal share.

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Section: Case Studymentioning

confidence: 99%

Learning-Based Model for Evaluating the Impact of Neighborhood Design on Travel Behavior

Masoud

Idris

Lovegrove

2022

Transportation Research Record: Journal of the Transportation R

Self Cite

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Non-linear effects of street patterns and land use on the bike-share usage

Heinen

Wang

2023

Transportation Research Part D: Transport and Environment

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Sustainable Complete Streets Design Criteria and Case Study in Naples, Italy

Montella

Chiaradonna²,

Mihiel

et al. 2022

Sustainability

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Background: A growing number of communities are re-discovering the value of their streets as important public spaces for many aspects of daily life, creating the need for a transformation in the quality of those streets. An emerging concept of ‘complete streets’ is to accommodate all users of the transportation system. Methods: In this paper, we present sustainable complete streets design criteria that integrate complete streets by adding socio-environmental design criteria related to the aesthetics, environment, liveability, and safety. To help set priorities, identify the street design features, and create intuitive multimodal networks throughout the city, we have defined a list of the general and specific criteria to be addressed for sustainable complete streets. Results: The proposed design criteria provide a street network with improvements in its aesthetics, to recover the historical urban character and realize historical area planning goals; the environment, to increase the permeable surfaces, reduce the heat island effect, and to absorb traffic-related air pollution; the liveability, to create a public space destination in the urban landscape; and safety, to improve the safety of all road users. The design scenarios proposed in the study were conceived to help practitioners to consider these context-based uses and design accordingly by gaining knowledge from past experiences to benefit future projects. Conclusions: The case study of the urban rehabilitation of the “Mostra d’Oltremare” area and its cultural and architectural assets in Naples, Italy, highlights the practical application of the proposed criteria and the possibility of using these criteria in other urban contexts.

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Modelling the impact of fused grid network design on mode choice behaviour

Cited by 3 publications

References 29 publications

Learning-Based Model for Evaluating the Impact of Neighborhood Design on Travel Behavior

Learning-Based Model for Evaluating the Impact of Neighborhood Design on Travel Behavior

Non-linear effects of street patterns and land use on the bike-share usage

Sustainable Complete Streets Design Criteria and Case Study in Naples, Italy

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