Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China

2021 ◽  
Vol 93 ◽  
pp. 103070
Author(s):  
Yuqiao Huang ◽  
Linjie Gao ◽  
Anning Ni ◽  
Xiaoning Liu
Keyword(s):  
Mode Choice ◽  
Gps Data ◽  
Travel Mode ◽  
Trip Chain ◽  
Travel Mode Choice

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

2020 ◽  
Vol 32 (2) ◽  
pp. 219-228
Author(s):  
Xin Hong ◽  
Lingyun Meng ◽  
Jian An
Keyword(s):  
Energy Expenditure ◽  
Public Transportation ◽  
Choice Model ◽  
Mode Choice ◽  
Economic Cost ◽  
Multinomial Logit Model ◽  
Travel Mode ◽  
Physical Energy ◽  
Travel Mode Choice

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.

scholarly journals Pro-Environmental Behaviour in Travel Mode Choice of Graduate Students: Case Study in Jakarta

2018 ◽  
Vol 65 ◽  
pp. 09001 ◽  
Author(s):  
Ankiet D. Lelono ◽  
Herdis Herdiansyah ◽  
Linda Darmajanti ◽  
Tri Edhi Budhi Soesilo ◽  
Hayati S. Hasibuan ◽  
...  
Keyword(s):  
Graduate Students ◽  
Public Transportation ◽  
Environmental Behavior ◽  
Mode Choice ◽  
Travel Mode ◽  
Political Activities ◽  
Emissions Mitigation ◽  
Travel Mode Choice ◽  
Socio Demographic Factors

Rapid urban growth requires an established and dynamic transportation system to connect places and facilitate economic, social, cultural and human political activities. The choice of public transportation is considered a pro-environmental behavior in regards to emissions mitigation, therefore leads to sustainability. This paper attempts to understand graduate students’ pro-environmental behavior in travel mode choice towards public transportation, and to observe correlation between socio-demographic factors and pro- environmental behavior. This research was conducted in University X in Jakarta with 82 respondents, analyzed in quantitative approach (SPSS) and mix method. Using Theory of Planned Behavior (TPB), this research concludes that attitude is the most dominant sub-variable of behavior, seen from correlation between attitude and subjective norm, intention, and respondents’ age. Subjective norms and intention has positive correlation, but no correlation to socio-demographics.

scholarly journals Earthquake Evacuation Choice and Management in a Developing Archipelagic Country—A Case Study of Surigao City, Philippines

2021 ◽  
Vol 13 (11) ◽  
pp. 5783
Author(s):  
Sherwin Roy Calumba ◽  
Monorom Rith ◽  
Alexis M. Fillone
Keyword(s):  
Open Space ◽  
Mode Choice ◽  
The Philippines ◽  
Evacuation Planning ◽  
Government Officials ◽  
Travel Mode ◽  
Planning And Management ◽  
Travel Mode Choice ◽  
Potential Factors

The Philippines is a developing archipelagic country in Southeast Asia. The country is susceptible to multiple natural disasters, specifically earthquakes. This implies the significance of understanding earthquake evacuation choice in order to design effective planning and management of evacuation to minimize chaos, damage cost, and the loss of lives. This study investigated the determinants of earthquake evacuation and proposed earthquake evacuation planning and management in the Philippines, featuring the case study of Surigao City. The study used the primary dataset of 1055 observations gathered in 2019 and applied the nested logit model (NLM) to investigate the potential factors of earthquake evacuation decisions. We considered three output variables: evacuation choice, evacuation duration, and travel mode choice. We found that residents were more likely to evacuate their homes upon receiving an earthquake warning and move to a public shelter or open space. Additionally, respondents were more inclined to leave their homes when their houses suffered from moderate to severe/complete damage or when electricity and water supply were cut-off. Respondents were most likely to walk to evacuation centers as the majority of residents initially moved to the nearest open space immediately after an earthquake and stayed in an open space for less than 6 hours. No correlation was found between personal and household income factors with evacuation choice and travel mode choice. Furthermore, the study used the Analytical Hierarchy Process (AHP) to determine areas suitable for earthquake evacuation using insights from local government officials and planners. The areas identified for earthquake evacuation were developed to support evacuation planning and management.

scholarly journals Investigating Electric Bicycles as a Travel Mode Choice for Escorting Children to School: A Case Study in Kunming, China

2017 ◽  
Vol 2634 (1) ◽  
pp. 8-16 ◽  
Author(s):  
Yang Liu ◽  
Yanjie Ji ◽  
Qiyang Liu ◽  
Min He ◽  
Xinwei Ma
Keyword(s):  
Mode Choice ◽  
Working Hours ◽  
Space Time ◽  
Urban Traffic ◽  
Mode Analysis ◽  
Low Carbon ◽  
Travel Mode ◽  
Traffic Demand ◽  
Travel Mode Choice

To encourage low-carbon travel, reduce car trips, and improve the urban traffic system, an understanding of travel mode choice for escorting children to and from school is important. Previous studies have focused mostly on walking and bicycling. However, the electric bicycle (e-bike—a mainstream escorting mode in China) rarely has been investigated. The factors that affect travel mode choice (walking, e-bike, or car) for escorting children to and from school are explored at the household level in a case study from Kunming, China. Intrahousehold interactions and parental space–time constraints are represented by the comparative working hours of the parents and space–time coordination in joint parent–child trips, respectively. A multinomial logit model was applied in mode analysis. The results reveal interesting phenomena in travel mode choices for escorting children to school. When the mother’s working hours are longer than the father’s, the travel mode choice for escorting a child to and from school is less likely to be walking or e-bike; in other words, a car is the preferred choice in mother-dominated households. The distance deviation between parents and children is a significant factor in choosing between a car or an e-bike. Children are more likely to be escorted by e-bikes as a result of distance deviations, and walking or e-bike is less likely to be chosen when the school is far from home. Results could be valuable for traffic demand management to reduce car use for trips to and from school. In addition, e-bike development should be considered seriously for the future development of China.

scholarly journals From attitude to satisfaction: introducing the travel mode choice cycle

2021 ◽  
pp. 1-18
Author(s):  
Jonas De Vos ◽  
Patrick A. Singleton ◽  
Tommy Gärling
Keyword(s):  
Mode Choice ◽  
Travel Mode ◽  
Travel Mode Choice

scholarly journals Exploring the impact of COVID-19 on individual's travel mode choice in China

2021 ◽  
Vol 106 ◽  
pp. 271-280
Author(s):  
Siliang Luan ◽  
Qingfang Yang ◽  
Zhongtai Jiang ◽  
Wei Wang
Keyword(s):  
Mode Choice ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
The Impact

A Selective Review of Travel-Mode Choice Models

1982 ◽  
Vol 8 (4) ◽  
pp. 370 ◽  
Author(s):  
Richard Barff ◽  
David Mackay ◽  
Richard W. Olshavsky
Keyword(s):  
Mode Choice ◽  
Choice Models ◽  
Travel Mode ◽  
Selective Review ◽  
Travel Mode Choice
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