Article
Economics
Li Wan, Junqing Tang, Lihua Wang, Jennifer Schooling
Summary: The study found that non-commuting trips are a significant source of travel demand for car commuters, with longer working hours associated with a lower probability of engaging in non-commuting trips. Additionally, non-commuting trips starting at different times have varying demand elasticities, likely due to different travel constraints associated with certain trip purposes.
Article
Economics
Rong Fan, Xuegang (Jeff) Ban
Summary: This paper proposes and investigates the concept of a commuting service platform (CSP) that connects commuters and worksites through emerging mobility services. By analyzing the conditions for its two-sidedness, the paper explores the impact of price allocation on the participation and profit of CSPs. It also presents a modeling framework that considers the locations of homes and worksites. The findings of this paper have practical implications for building CSPs and developing CSP-based travel demand management strategies.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Urban Studies
Jian Liu, Bin Meng, Changsheng Shi
Summary: Urban structure profoundly affects the livability and sustainability of cities. However, there is still a gap in understanding urban travel networks and spatial structures from a multi-activity perspective. This study used data fusion to infer the daily activities of over four million Beijing residents and constructed eight urban travel networks (UTNs) to explore their structural similarities and disparities. The results revealed significant spatial heterogeneity, hierarchy, and dependency characteristics within all UTNs in Beijing. The spatial patterns of UTNs reflected a hybrid pattern of polycentric and sector patterns in Beijing's current urban structure. This study provides valuable scientific insights into urban spatial governance and the configuration of public facilities in Beijing.
Article
Energy & Fuels
Marco Miotti, Zachary A. Needell, Rishee K. Jain
Summary: This study uses a structured regression approach to investigate the causal relationship between urban form, particularly density, and travel demand. The findings suggest that residents in the densest urban areas use significantly less energy for transportation compared to rural residents, with the availability of nearby destinations being the primary driver of this relationship. Additionally, differences in road network properties and public transit infrastructure also contribute to the density-energy use relationship.
Article
Green & Sustainable Science & Technology
Yingjie Zhang, Tianzheng Zhang, Yingxiang Zeng, Chang Yu, Siqi Zheng
Summary: Using a Hedonic housing price model, this study explores the dynamic and heterogeneous demand for urban green space (UGS) among Chinese urban residents, confirming a rising demand for UGS. The study shows that residents have heterogeneous preferences for different types of urban parks, with residents living in larger homes having a stronger demand for UGS.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Economics
H. Charreire, C. Roda, T. Feuillet, A. Piombini, H. Bardos, H. Rutter, S. Compernolle, J. D. Mackenbach, J. Lakerveld, J. M. Oppert
Summary: This study investigated the influence of individual (age, gender, education) and contextual (residential neighborhood characteristics) on the choice of active and public transport modes for commuting and non-commuting purposes in residents of five European urban regions. Results showed that both individual and contextual characteristics played a role in determining the main transport mode for different journey purposes, with factors such as gender, age, and neighborhood features affecting the probability of using active or public transport.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Economics
Eleonora Sottile, Giovanni Tuveri, Francesco Piras, Italo Meloni
Summary: University students' mobility, especially non-commuting tours, plays a significant role in travel demand. This study focuses on comparing commuting and non-commuting tours, analyzing non-commuting patterns, and identifying factors affecting tour generation among university students. Results show that non-commuting tours account for a considerable proportion of total tours, and there is no significant difference in tour characteristics between different areas.
Article
Green & Sustainable Science & Technology
Branka Trcek, Beno Mesarec
Summary: The study conducted at the University of Maribor focused on commuting behavior, particularly at the four technical faculties. The research analyzed questionnaire surveys and transport policies implemented from 2010 to 2020. The findings revealed a shift towards active commuting among students and a decrease in car use. Gender differences were observed, with female students more likely to walk and male students more likely to cycle or drive. Staff commuting patterns remained unchanged, with no significant gender difference. The mode shifts were influenced by trip origins, bus subsidies, parking availability, and fees. The study emphasized the importance of coordinating transport policies with housing policies for more effective results.
Article
Engineering, Civil
Fan Gao, Jinjun Tang, Zhitao Li
Summary: This study examines the impact of the modifiable areal unit problem (MAUP) on commuting demand modeling by considering variations in spatial units and transport modes. It summarizes the effects of MAUP on relationships among land use, demographic, and traffic network characteristics and commuting demand under different partitioning scales and schemes. The findings contribute to the division of traffic analysis zones and the allocation of commuting trips.
Review
Environmental Studies
Xiaoming Shen, Siqi Zheng, Rui Wang, Qinwei Li, Zike Xu, Xiaoliang Wang, Jiayu Wu
Summary: The relationship between urban environment and the travel of people with disabilities has been studied extensively, but there is a lack of systematic review on existing research methods and results. This paper examines 66 studies to understand the current knowledge on this topic and offers suggestions for future research. By adapting the classic travel demand model to the mobility characteristics of people with disabilities, the authors interpret the existing literature and identify gaps in research.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Engineering, Civil
Kun Gao, Minhua Shao, Kay W. Axhausen, Lijun Sun, Huizhao Tu, Yihong Wang
Summary: This paper empirically investigates the inertia effects of past behavior in commuting modal shift behavior, exploring influences on traveler's preferences regarding level-of-service variables, mode-specific inertia effects, and factors contributing to heterogeneity of inertia effects. Results show significant interactions of inertia terms with LOS variables, distinct inertia effects for different transport modes, and effects of personal characteristics and contexts on inertia effects magnitude. Incorporating interactions and mode-specific inertia effects can improve demand estimation in various contexts.
Article
Multidisciplinary Sciences
Zhong Zheng, Suhong Zhou, Xingdong Deng
Summary: This study explores the spatially heterogeneous effect of the built environment on commuting distance from both home-based and work-based perspectives using large-scale cellular cellphone data in Guangzhou, China. The results confirm the spatially heterogeneous impact of the built environment on commuting distance and reveal the double-edged effect of the built environment.
Article
Economics
Sayna Firoozi Yeganeh, Navid Khademi, Hojatollah Farahani, Mohammad Ali Besharat
Summary: Women have different travel behavior compared to men, and this is particularly influenced by factors such as patriarchal culture and unique transportation systems in Iran. Previous studies have mainly focused on gender differences rather than identifying the underlying factors contributing to women's behavior. This qualitative study explores the factors and motivations affecting women's shared mobility choices, specifically shared taxis, in Iran.
Article
Energy & Fuels
Xi Li, Runsen Zhang, Jundong Chen, Yida Jiang, Qiong Zhang, Yin Long
Summary: This study estimated carbon emissions released due to household travel demands in 47 Japanese cities, with cluster analyses conducted by city. Results showed that cities with larger carbon footprints typically had smaller populations, while megacities had lower carbon emissions per capita. Direct gasoline combustion and train use were the key factors influencing regional differences in emissions.
Article
Engineering, Civil
Tian Li, Haobin Jiang, Peng Jing, Mengmeng Zhang
Summary: Recent research has focused on the effects of urban built environment on travel behaviors, though studies on direct assessments of the links between built environment and traffic level are limited. This study conducted data envelopment analysis modeling in Jinan, China, and found a poor coordination relationship between built environment and traffic level.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
