Quantifying Travel Physical Energy Expenditure for Urban Travellers – A Case Study of Beijing

Travel physical energy expenditure for travellers has impact on travel mode choice behaviour. However, quantitative study on travel physical energy expenditure is rare. In this paper, the concept of travel physical energy expenditure coefficient has been presented. A case study has been carried out...

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Main Authors: Xin Hong, Lingyun Meng, Jian An
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2020-03-01
Series:Promet (Zagreb)
Subjects:
Online Access:https://traffic.fpz.hr/index.php/PROMTT/article/view/2915
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spelling doaj-ec9bf27c3a4742e883f1528327d5fa1f2020-11-25T03:03:37ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692020-03-0132221922810.7307/ptt.v32i2.29152915Quantifying Travel Physical Energy Expenditure for Urban Travellers – A Case Study of BeijingXin Hong0Lingyun Meng1Jian An2Beijing Jiaotong UniversityBeijing Jiaotong UniversityBeijing Transport InstituteTravel physical energy expenditure for travellers has impact on travel mode choice behaviour. However, quantitative study on travel physical energy expenditure is rare. In this paper, the concept of travel physical energy expenditure coefficient has been presented. A case study has been carried out of young travellers in Beijing to get the value of physical energy expenditure per unit time under three transport modes, walking, car and public transportation. A series of experiments have been designed and conducted, which consider influence factors including age, gender, travel mode, riding posture, luggage level and crowded level. By analysing the travel data of money, travel time and physical energy expenditure, we determined that the value of travel physical energy expenditure coefficient δ is 0.058 RMB/KJ, which means that travellers can pay 0.058 RMB to reduce 1 KJ physical energy expenditure. Next, a travel mode choice model has been proposed using a multinomial logit model (MNL), considering economic cost, time cost and physical energy cost. Finally, the case study based on OD from Xizhimen to Tiantongyuan in Beijing was conducted. It is verified that it will be in better agreement with the actual travel behaviour when we take the physical energy expenditure for different types of travellers into account.https://traffic.fpz.hr/index.php/PROMTT/article/view/2915travellers’ physical energy expendituretravel behaviourtravel mode choice
collection DOAJ
language English
format Article
sources DOAJ
author Xin Hong
Lingyun Meng
Jian An
spellingShingle Xin Hong
Lingyun Meng
Jian An
Quantifying Travel Physical Energy Expenditure for Urban Travellers – A Case Study of Beijing
Promet (Zagreb)
travellers’ physical energy expenditure
travel behaviour
travel mode choice
author_facet Xin Hong
Lingyun Meng
Jian An
author_sort Xin Hong
title Quantifying Travel Physical Energy Expenditure for Urban Travellers – A Case Study of Beijing
title_short Quantifying Travel Physical Energy Expenditure for Urban Travellers – A Case Study of Beijing
title_full Quantifying Travel Physical Energy Expenditure for Urban Travellers – A Case Study of Beijing
title_fullStr Quantifying Travel Physical Energy Expenditure for Urban Travellers – A Case Study of Beijing
title_full_unstemmed Quantifying Travel Physical Energy Expenditure for Urban Travellers – A Case Study of Beijing
title_sort quantifying travel physical energy expenditure for urban travellers – a case study of beijing
publisher University of Zagreb, Faculty of Transport and Traffic Sciences
series Promet (Zagreb)
issn 0353-5320
1848-4069
publishDate 2020-03-01
description Travel physical energy expenditure for travellers has impact on travel mode choice behaviour. However, quantitative study on travel physical energy expenditure is rare. In this paper, the concept of travel physical energy expenditure coefficient has been presented. A case study has been carried out of young travellers in Beijing to get the value of physical energy expenditure per unit time under three transport modes, walking, car and public transportation. A series of experiments have been designed and conducted, which consider influence factors including age, gender, travel mode, riding posture, luggage level and crowded level. By analysing the travel data of money, travel time and physical energy expenditure, we determined that the value of travel physical energy expenditure coefficient δ is 0.058 RMB/KJ, which means that travellers can pay 0.058 RMB to reduce 1 KJ physical energy expenditure. Next, a travel mode choice model has been proposed using a multinomial logit model (MNL), considering economic cost, time cost and physical energy cost. Finally, the case study based on OD from Xizhimen to Tiantongyuan in Beijing was conducted. It is verified that it will be in better agreement with the actual travel behaviour when we take the physical energy expenditure for different types of travellers into account.
topic travellers’ physical energy expenditure
travel behaviour
travel mode choice
url https://traffic.fpz.hr/index.php/PROMTT/article/view/2915
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AT lingyunmeng quantifyingtravelphysicalenergyexpenditureforurbantravellersacasestudyofbeijing
AT jianan quantifyingtravelphysicalenergyexpenditureforurbantravellersacasestudyofbeijing
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