Travel Behaviour and Society最新文献

英文中文

Built environment effects on dockless bikesharing–metro integration: A spatial nonlinear analysis 建筑环境对无桩共享单车与地铁融合的影响：空间非线性分析

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-19 DOI: 10.1016/j.tbs.2025.101003

Jing Wang , Chunjiao Dong , Chunfu Shao , Jiayu Bao , Feng Wan

This study proposes a spatial machine learning model that integrates the core principles of the random forest model with the spatial partitioning rules of geographically weighted regression to investigate the spatial nonlinear effects of built environment factors on dockless bikesharing (DBS)–metro integrated use. Using DBS data from Beijing, China, four types of access and egress integrated use during peak hours were calculated through an optimized spatial network density-based method. Twenty-one independent variables related to socioeconomic and demographic, land use, road network design, transport facility, and station attributes, were analyzed based on varying catchment area sizes. The results demonstrate that all the built environment variables exhibit nonlinear effects on integrated use, with most of their effective ranges and threshold effects varying among stations. Population density and housing prices emerge as dominant variables affecting morning access integrated use. The positive impact of commercial places is more pronounced in suburban regions, while the influence of educational places is stronger in the northern city. Stations located at a moderate distance to city center (DC) account for the majority of integrated use trips, with DC exerting a greater influence on suburban areas than on urban areas. These findings offer valuable insights for enhancing seamless connections between bikesharing and metro systems.

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引用次数: 0

Car ownership through the parenting journey and beyond

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-19 DOI: 10.1016/j.tbs.2025.101011

Jennifer L. Kent

Attachments to private cars are as complex as they are problematic. They reflect legacies of urban form, and culturally inculcated appreciations of autonomous mobility. To challenge the car system, deeper understandings of the complexity of private car ownership and use are required.

Analysing data from interviews with 26 parents of children aged 18–25 in Australia, this paper adds to emergent understandings of the complexity of car ownership as a biographical construct. The paper positions the car in the mobility biographies of parents experiencing freedom from the direct responsibility of children. Deploying concepts from mobility biographies, accounting for the impact of mode-choice inertia, and using parenting culture studies as an explanatory theoretical frame, the paper interrogates the assumed association between parenting and private cars by asking: what happens to the car in families now that it is no longer ‘needed’ to transport children?

The analysis paints a picture of parents who are seeking independence from their caring role yet yearning to remain relevant to their children’s lives. And the car is listed as a material object necessary in pursuit of both projects. Reflecting understandings of habit and inertia, parents have become accustomed to the freedom of car-ownership, and devised new pursuits around this assumption. Echoing the concept of intensive parenting, parents displayed a deep sense of ongoing love for children, with the car a material expression of ways to remain present in their children’s lives.

Theoretically and conceptually, the study demonstrates the value of coupling mobility biographical approaches with other understandings of the emotional, cultural and material landscapes surrounding life events. From the practical perspective of designing policies to transition towards sustainable transport systems, the value of this study is its demonstration of the complexity of attachments to private car use through different life-stages.

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引用次数: 0

Changes in the predictors of transit ridership in post-COVID-19 US metropolitan areas

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-18 DOI: 10.1016/j.tbs.2025.101002

Seyed Sajjad Abdollahpour , Huyen T.K. Le , Steve Hankey

This study investigates changes in transit ridership predictors pre- and post-pandemic across 35 United States metropolitan areas. Using extreme gradient boosting and data spanning January 2019 to June 2023, we identify a shift in the key predictors of transit ridership from internal factors in the pre-pandemic era to external factors in the post-pandemic era. Socioeconomic factors, gasoline prices, telecommuting, and polycentric development collectively contribute more to post-pandemic ridership than vehicle revenue mile (VRM), fare, transit coverage, and service areas, marking a reversal from the pre-pandemic era. Moreover, we uncover threshold and interaction effects unique to the post-pandemic era, including positive interactions between the proportion of African American residents and poverty rates, carless households and gasoline price, VRM and polycentricity. Notably, the rate of carless households moderates telecommuting’s impact on ridership. We recommend that transit agencies account for post-pandemic shifts in ridership predictors to ensure accurate forecasts and to adjust service provision and policy prioritization accordingly.

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引用次数: 0

Traffic crash risk among on-demand food delivery riders in Danang city, Vietnam: Key contributing factors

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-18 DOI: 10.1016/j.tbs.2025.100995

Nhat Xuan Mai , Duy Quy Nguyen-Phuoc , Bien Van Nguyen , Amjad Pervez , Oscar Oviedo-Trespalacios

The rise of on-demand food delivery services, operating on gig economy models, has gained popularity worldwide. However, this surge has led to a concerning increase in road traffic crashes involving delivery riders. From this, an urgent need has emerged for a comprehensive study to explore the complex traffic safety issues that this vulnerable group faces daily. Therefore, this study aims to provide in-depth insights into the unsafe riding practices of food delivery riders and to identify effective countermeasures to mitigate the risks they commonly encounter. To address this need, the study has proposed a theoretical framework based on the job demands-resources (JD-R) model. In addition, two constructs, including safety compliance and intention to violate traffic rules, are incorporated into the JD-R model to examine their impact on negative safety outcomes. A survey was conducted in Danang city, Vietnam, gathering responses from 419 delivery riders. Partial Least Squares Structural Equation Modeling was employed to analyze the relationships among the constructs in the developed model. The results highlight the significance of all job aspects as predictors of safety compliance and intentions to violate traffic rules. Furthermore, the study’s findings reveal that safety compliance serves as a mediator between job demands and job resources, influencing negative safety outcomes. Based on these research findings, platform firms can strategically consider implementing tailored solutions to enhance traffic safety, discourage participation in unsafe riding practices, and promote sustainable travel behavior patterns among delivery riders.

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引用次数: 0

Findings in pedestrian route choice experiments: Tradeoff and hypothetical bias

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-13 DOI: 10.1016/j.tbs.2025.101000

Cheng-Jie Jin , Jiaxin Li , Chenyang Wu , Xiaoxuan Xiu , Dawei Li

In this paper, we study the pedestrian route choice behaviors through a controlled experiment. Two routes with different lengths and waiting times are considered. Sometimes, extra rewards are given to test the different responses in diverse situations. The surveys before and after the experiments (S1 and S2) can aid in collecting data on pedestrians’ individual traits. In the binary logit model, the main factors for pedestrian route choice are identified and discussed, including the route, experimental and pedestrian attributes from the surveys and experiments. Next, we employ three methods to explore the hypothetical bias of pedestrian route choice behaviors: (1) Comparisons of logit model coefficients; (2) Predictions of revealed results by stated results; (3) Proposal of a new indicator (named PB) and related linear regressions. The results indicate that the hypothetical bias can be quantitatively measured and reduced, which could be beneficial for future studies.

引用次数: 0

What promotes the integration of metro and ridesourcing? Analysis of first/last mile ridesourcing origin–destination trips

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-12 DOI: 10.1016/j.tbs.2025.100994

Tanhua Jin , Long Cheng , Kunbo Shi , Jun Cao , Jonas De Vos , Frank Witlox

Shared mobility can be regarded as a possible solution for sustainable transportation across the world. The integration between shared mobility and metro systems can relieve severe social and environmental issues. Although studies on integrating metro services and ridesourcing have gradually increased, those focusing on access/egress origin–destination trips are rather limited. Those focusing on access/egress origin–destination trips are rather limited. This study employs XGBoost models to examine the impact of trip distance, as well as the origin and destination factors, on the metro-ridesourcing integrated access/egress trips during weekday morning and evening peak hours using ridesourcing trip record data in Nanjing, China. Most factors have similar effects on metro-ridesourcing integrated usage, regardless of type differences and temporal heterogeneity. For example, all four types of integrated usage are positively associated with the density of bike-sharing services at both metro station sides and Traffic Analysis Zone (TAZ) sides. An interesting finding is that symmetric effects are found regarding the distance of TAZs to the city center, TAZ-side employment density, residence density, and population-to-employment balance index. The association between these factors and morning-peak access usage is similar to that for evening-peak egress usage, and morning-peak egress usage shares similar patterns with evening-peak access usage. Understanding how the influencing factors affect different types of metro-ridesourcing integrated usage can gain refined results and thus provide targeted policies to policymakers and shared mobility operators to further promote multimodal metro use.

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引用次数: 0

“This is a service for people who can mobilise themselves”: Age and gender perspectives of multi-modal mobility as a service

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-12 DOI: 10.1016/j.tbs.2025.100997

Rich C. McIlroy, Katie McPeake

Mobility as a Service (MaaS) has the potential to contribute to greater equity in transport, but it also holds the potential to contribute to greater inequity. The outcome depends on how MaaS is designed, implemented, and marketed. Evaluations of existing systems have yielded mixed results in this regard. Therefore, input from prospective end-users remains crucial for designing systems that cater to different people’s needs. This research gathered that input, exploring people’s experiences of multi-modal travel (i.e., the combination of two or more transport modes in one trip) and their perceptions of MaaS, in the context of age and gender, factors consistently highlighted in discussions of transport inclusivity and equity. Online focus groups were held with 146 residents of a region in southern England in which a MaaS app is being trialled. Thematic analyses were conducted on the responses to three questions: one regarding multi-modal travel, one addressing potential success and failure points for MaaS, and one exploring the types of information MaaS could include. Results highlighted some important differences in the needs of different groups and are discussed in terms of the challenges to overcome and the opportunities to capitalise on when designing inclusive MaaS systems that contribute to greater transport equity.

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引用次数: 0

Quantifying physical activity during active commuting to school: A comparison of methodologies

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-11 DOI: 10.1016/j.tbs.2025.100996

P. Campos-Garzón , A.J. Lara-Sánchez , A. Queralt , J. Schipperijn , T. Stewart , Y. Barranco-Ruiz , P. Chillón , J.H. Migueles

The current study aims to detect walking trips to/from school with different methodologies (GPS, self-reported, fixed windows [w30 and w60], and distance-based time), and to compare the start/end times for the trips, and the time accumulated in sedentary time, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). A total of 93 Spanish adolescents wore an accelerometer and GPS during school days, and the start/end times of walking trips to/from school were determined using five different methodologies. Mixed-effects limits of agreement analyses were used to determine the level of agreement between the start/end times of the walking trips identified by the five methodologies mentioned. Moreover, methodologies were determined to be equivalent if the mean difference with the GPS was within the proposed equivalence zone of ± 5.0 min. Self-reported measures showed a good level of agreement for estimating start times of walking trips to school compared to GPS, 0.0 (LoA95%:-0.3–0.2) hours. Self-reported measures were deemed equivalent to GPS for measuring sedentary time, LPA, and MVPA. W30 and distance-based time were equivalent to GPS for LPA and MVPA, but not for sedentary time. W60 was only deemed equivalent to GPS for MVPA accumulated during walking trips to and from school. Self-reported measures showed the most precise approach for estimating start times to school, as well as it deemed equivalent to GPS for quantifying sedentary time, LPA, and MVPA. Moreover, estimating the time to complete the trip based on the distance between home and school could be more appropriate than fixed windows.

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引用次数: 0

Traveler preference analysis between dockless bike-sharing and electric bike-sharing in last-mile metro context: Insights from Nanjing’s urban and suburban areas

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-11 DOI: 10.1016/j.tbs.2025.100999

Jiang Ning , Jingxu Chen , Xuewu Chen , Xinlian Yu

Dockless electric bike-sharing (DEBS), an emerging type of shared micromobility, has the potential to reshape the feeder mobility landscape that dockless bike-sharing (DBS) established in the last-mile metro context. Understanding traveler preferences between DEBS and DBS is crucial for the sustainable development of the bike-sharing feeder markets. This study sets up a context-dependent stated choice experiment to explore the critical factors that influence travelers’ choice between two bike-sharing feeder modes. It also examines whether these factors have different effects on traveler preferences in urban and suburban areas. Based on data from 402 urban respondents and 408 suburban respondents in Nanjing, China, we estimate random parameters logit models for urban and suburban areas, respectively, and find all main attributes are significant but exhibit variations across two geographical areas. Results indicate that riding distance is a critical factor in the choice between the two bike-sharing feeder modes: travelers prefer to use DBS at 800–1,500 m, while DEBS is favored at 2,500–4,000 m, especially in suburban areas. Although cost and access time also impact the probability of choosing DBS and DEBS, this influence is weaker than riding distance, as these factors do not significantly alter the “dominant riding distance” for either of the two bike-sharing feeder modes. Additionally, suburban travelers traveling for commuting purposes or with private electric bike experience are more likely to choose DEBS than DBS. The findings from this study can assist policymakers in devising targeted policy measures to promote the sustainable development of the two bike-sharing feeder modes in distinct geographical areas.

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引用次数: 0

Integrating machine learning and discrete choice modeling for enhanced shopping destination choice model

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-11 DOI: 10.1016/j.tbs.2025.100998

MD Jahedul Alam , Niaz Mahmud , Muhammad Ahsanul Habib

This study develops a two-stage modeling framework for parcel-level shopping destination choice, accounting for multi-dimensional factors and the heterogeneity in shopping location choice behavior. The study follows two steps: (i) developing a shopping location choice set generation process comprising feature selection and encompassing business types and locations, and (ii) developing an econometric model to predict individual shopping location choice behavior considering unobserved heterogeneity. The study advances a novel approach of combined machine learning (ML) and random utility-based discrete choice modeling (i.e., mixed logit model (MXL)). Results from the MXL model reveal that the longer the travel time and distance from the central business district, the less likely people are to visit a store for routine shopping (e.g., groceries). The random parameter analysis reveals that although high retail concentration surrounding the desired shopping location should attract individuals for shopping, there will be people who still may not intend to shop at those locations. Similarly, people may be willing to travel to stores requiring longer travel times for special item shopping. The models developed in this study will be implemented within an integrated transport, land use, and energy (iTLE) modeling system to improve the behavioral representation of destination choices.

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