Expanded travel behaviour model with travel-based multitasking
The fundamental role of transportation is conventionally regarded as moving people from spatially separated activities; therefore, travel behaviour analysis relies on the premise of derived travel demand. However, the spectrum of enroute activity has witnessed dramatic changes due to technological b...
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2023
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sg-ntu-dr.10356-1641802023-02-01T03:20:55Z Expanded travel behaviour model with travel-based multitasking Sun, Shanshan Wong Yiik Diew School of Civil and Environmental Engineering CYDWONG@ntu.edu.sg Engineering::Civil engineering::Transportation The fundamental role of transportation is conventionally regarded as moving people from spatially separated activities; therefore, travel behaviour analysis relies on the premise of derived travel demand. However, the spectrum of enroute activity has witnessed dramatic changes due to technological breakthroughs. We argue the conventional assumption of total negativity in travel utility needs to be revised based on a systematic investigation of travel-based multitasking behaviour. To achieve this, we first produced a travel-based multitasking typology by synthesising all types of in-vehicle activities to establish the evolving behavioural patterns. To understand people’s behavioural motivations for multitasking during travel, we proposed and validated a theoretical framework whereby effects of multitasking habit and smart device addiction are identified. People’s travel time/ cost perception and autonomous vehicle adoption are found to vary across different levels of being a multitasker (i.e., strength in travel-based multitasking habit) or screen addict (i.e., strength in smart device addiction). Doctor of Philosophy 2023-01-09T06:41:29Z 2023-01-09T06:41:29Z 2022 Thesis-Doctor of Philosophy Sun, S. (2022). Expanded travel behaviour model with travel-based multitasking. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/164180 https://hdl.handle.net/10356/164180 10.32657/10356/164180 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University |
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Engineering::Civil engineering::Transportation Sun, Shanshan Expanded travel behaviour model with travel-based multitasking |
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The fundamental role of transportation is conventionally regarded as moving people from spatially separated activities; therefore, travel behaviour analysis relies on the premise of derived travel demand. However, the spectrum of enroute activity has witnessed dramatic changes due to technological breakthroughs. We argue the conventional assumption of total negativity in travel utility needs to be revised based on a systematic investigation of travel-based multitasking behaviour. To achieve this, we first produced a travel-based multitasking typology by synthesising all types of in-vehicle activities to establish the evolving behavioural patterns. To understand people’s behavioural motivations for multitasking during travel, we proposed and validated a theoretical framework whereby effects of multitasking habit and smart device addiction are identified. People’s travel time/ cost perception and autonomous vehicle adoption are found to vary across different levels of being a multitasker (i.e., strength in travel-based multitasking habit) or screen addict (i.e., strength in smart device addiction). |
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Wong Yiik Diew |
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Wong Yiik Diew Sun, Shanshan |
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Thesis-Doctor of Philosophy |
author |
Sun, Shanshan |
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Sun, Shanshan |
title |
Expanded travel behaviour model with travel-based multitasking |
title_short |
Expanded travel behaviour model with travel-based multitasking |
title_full |
Expanded travel behaviour model with travel-based multitasking |
title_fullStr |
Expanded travel behaviour model with travel-based multitasking |
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Expanded travel behaviour model with travel-based multitasking |
title_sort |
expanded travel behaviour model with travel-based multitasking |
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Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/164180 |
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1757048205081575424 |