Travel Behaviour and Society最新文献_第2页

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.

{"title":"Traveler preference analysis between dockless bike-sharing and electric bike-sharing in last-mile metro context: Insights from Nanjing’s urban and suburban areas","authors":"Jiang Ning , Jingxu Chen , Xuewu Chen , Xinlian Yu","doi":"10.1016/j.tbs.2025.100999","DOIUrl":"10.1016/j.tbs.2025.100999","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 100999"},"PeriodicalIF":5.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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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引用次数: 0

Do urban residents support Hyperloop development?

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.2025.100993

Sung-Eun Kang , Hyunji Kim , Namho Chung

Although several countries are considering Hyperloop transit systems, there has been little research into how urban residents view the risk of Hyperloop development. This study therefore applied perceived risk theory to understand public perceptions of Hyperloop technologies and how perceived risk affects public support for Hyperloop development. The effect of age, gender, and knowledge of Hyperloop trains were studied as moderators of the link between perceived risk and support for Hyperloop development. Six hundred residents in the city of Busan, South Korea, participated in a web panel survey. Using PLS-SEM, the study finds that perceived risk has a substantial negative impact on support for Hyperloop development. Although age and gender are not significant moderators, knowledge of Hyperloop trains is a positive moderator of the relationship between perceived risk and support for Hyperloop development. Knowledge of Hyperloop is also a direct predictor of support for Hyperloop development. This finding has important implications for urban policymakers and transit developers who plan to develop Hyperloop transit services in metropolitan areas.

{"title":"Do urban residents support Hyperloop development?","authors":"Sung-Eun Kang , Hyunji Kim , Namho Chung","doi":"10.1016/j.tbs.2025.100993","DOIUrl":"10.1016/j.tbs.2025.100993","url":null,"abstract":"<div><div>Although several countries are considering Hyperloop transit systems, there has been little research into how urban residents view the risk of Hyperloop development. This study therefore applied perceived risk theory to understand public perceptions of Hyperloop technologies and how perceived risk affects public support for Hyperloop development. The effect of age, gender, and knowledge of Hyperloop trains were studied as moderators of the link between perceived risk and support for Hyperloop development. Six hundred residents in the city of Busan, South Korea, participated in a web panel survey. Using PLS-SEM, the study finds that perceived risk has a substantial negative impact on support for Hyperloop development. Although age and gender are not significant moderators, knowledge of Hyperloop trains is a positive moderator of the relationship between perceived risk and support for Hyperloop development. Knowledge of Hyperloop is also a direct predictor of support for Hyperloop development. This finding has important implications for urban policymakers and transit developers who plan to develop Hyperloop transit services in metropolitan areas.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100993"},"PeriodicalIF":5.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncovering how online attractiveness mediates and moderates the impact of multi-scale transportation accessibility on non-work mobility

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-02-02 DOI: 10.1016/j.tbs.2025.100991

Enjia Zhang , Wenzhu Li , Ying Long

The role of information and communication technology (ICT) in substituting or complementing offline mobility has been widely studied. However, how online attractiveness influences the impact of transportation accessibility at different scales on non-work mobility remains unclear. This study explores the mediating and moderating effects of online attractiveness on multi-scale transportation accessibility using social media data and mobile phone signaling data in Beijing. The results reveal that online attractiveness mediates the relationship between multi-scale transportation accessibility and non-work mobility, with a stronger effect observed on weekends compared to weekdays. The highest mediation effect was found for proximity to subway stations. Furthermore, the study uncovers a dual moderation effect of online attractiveness, enhancing the advantages of highly accessible locations such as areas near subway stations and street-facing storefronts while complementing less accessible areas, including non-central locations and non-ground floor commercial spaces. Two robustness checks confirm the reliability of these findings. This study enriches the understanding of the dynamic interaction between transportation accessibility and online attractiveness in the digital era. The insights also provide valuable guidance for location selection and operational strategies for businesses and urban planners.

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引用次数: 0

Exploring the integration of urban air mobility into Mobility-as-a-Service: A stated preference analysis of commuters

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-01-25 DOI: 10.1016/j.tbs.2025.100990

Ying Zhao, Yan Hu, Tao Feng

This study introduces the concept of air mobility as a Service (AMaaS), integrating urban air mobility (UAM) into the framework of Mobility-as-a-Service (MaaS), with the goal of establishing highly synchronized mobility services. To facilitate the successful deployment of Urban Air Taxi (UAT) services, we aim to investigate people’s preferences for multimodal air taxi services. A stated choice experiment was designed incorporating pay-as-you-go options for various multimodal UAT services and subscriptions to ride-based discounts. Using data collected in Beijing, China, a random parameter error component model was estimated to identify preference heterogeneity among different individuals and potential correlations between alternatives. Our findings indicate a general preference for subscription schemes over pay-as-you-go options across all UAT services. The choice within AMaaS is significantly influenced by the various attributes of UAT alternatives and incentive measures, e.g., stronger government support and/or price discounts increase the probability of using AMaaS. Workers aged 44 or above, high-income groups, car owners, regular car commuters, individuals in managerial positions, and those having helicopter experience are more inclined to commute via multimodal UATs. These findings provide valuable insights for policy decision-making in the planning of UAM, especially when integrated into MaaS.

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引用次数: 0

Machine learning approach for analyzing feature importance in alternative fuel vehicle selection

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-01-22 DOI: 10.1016/j.tbs.2025.100987

Mina Kim , Hyunhong Choi , Yoonmo Koo

This study investigates the differences in the importance of various factors influencing vehicle preferences by fuel type. We analyzed four major fuel types: gasoline, diesel, electric, and hydrogen, aiming to enhance the effectiveness of zero-emission vehicle policies. Using Shapley additive explanations with an XGBoost classifier, we evaluated feature importance using conjoint survey data, considering vehicle attributes and owner characteristics, such as current vehicle usage. This approach not only identifies the most impactful criteria for more precise policy segmentation but also addresses the limitations of traditional methods that struggle to reveal differences in factor significance across fuel types. The results show that consumers choosing electric vehicles prioritize recharging infrastructure availability and economic factors, such as vehicle price and household income. By contrast, hydrogen vehicle selection is heavily influenced by the availability of hydrogen refueling infrastructure and demographic factors, such as age. Additionally, partial dependence plots illustrate the influence of recharging or refueling convenience on preferences, providing insights for strategic investments in zero-emission infrastructure. This study provides valuable insights for policymakers and infrastructure planners seeking to promote the adoption of zero-emission vehicles by demonstrating the variation in factor importance across fuel types.

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引用次数: 0

Virtual experimental study on pedestrian evacuation dynamics in view-limited environment

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-01-21 DOI: 10.1016/j.tbs.2025.100988

Ruoyu Li , Yanxu Wang , Qiao Wang , Juan Chen , Jian Ma

In emergency situations, factors such as smoke and dimly-lit conditions that lead to limited visibility for pedestrians often become an important reason for preventing more efficient evacuation. Considering factors such as cost, preparation time, and especially the safety and ethical issues of the participants, it is difficult to organize evacuation experiments with limited vision in reality. Therefore, in this paper, a multi-person online virtual experiment platform, including drawing, motion, and communication modules, is developed using the high security and expandability of virtual experiment technology to conduct such investigations that are difficult to organize safely and efficiently in reality. Firstly, the validation experiments were organized to compare with the control experiments regarding route choice and motion characteristics. The results showed that the platform could reproduce not only fundamental diagram but also route choice features of the real-life evacuation experiments. Secondly, the motion characteristics and following behavior of pedestrians during evacuation with different number and location settings of exit and different visual fields with limited vision were further studied. The results show that the movement characteristics and following behavior of pedestrians with limited vision are related to social information differences due to the visual field range (VFR) and building environment factors such as the number and location of exits. With VFR increases, the pedestrian evacuation time and movement area decrease and remain stable after VFR reaches 3.0 m. The average collision number of pedestrians increases with VFR, and the curve of the number of collisions in the dual-exit scenario is “V” shaped. The wayfinding time of pedestrians decreases with the VFR increase, and the blocking time increases accordingly. As the increase of VFR, the movement consistency and the following frequency of the crowd is higher; the larger of VFR in the single-exit scenario, the higher maximum frequency value that pedestrians are more likely to engage in following behavior, while they tend to make more autonomous decisions in the dual-exit scenario.

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引用次数: 0

Modelling electric vehicle charging events using a random parameter duration approach

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-01-20 DOI: 10.1016/j.tbs.2025.100989

Yasir Ali , Fredrik Monsuur , Craig Morton , Cheuk Ki Man

To promote the uptake of Electric vehicles (EVs), public charge points (or infrastructures) are crucial. A critical question for the planning and operational management of EV infrastructures is understanding different dimensions of temporal utilisation, which assists in improving the existing infrastructure and demonstrating the need for new infrastructures. Therefore, this paper analyses charge event durations of EVs using data from Transport for Greater Manchester. A hazard-based duration modelling approach is adopted to model the duration of charge events as a function of temporal, geographic, and prevailing weather conditions. The model reveals the charge events during the spring season can be longer and shorter, which can be attributed to temperature fluctuations requiring more higher/smaller energy consumption, and similarly, with an increase in windspeed, charge duration may increase/decrease. These findings can be useful for infrastructure operators in determining the factors that affect user behaviour on their EV charging networks and could feed into the development of commercial strategies to control EV charging networks, such as how to spread charge demand over different periods of the day and how to discourage the occurrence of overstay. For instance, charge events with longer connection durations could be identified and targeted by infrastructure providers to delay their occurrence to periods when power demand is not constrained through such means as providing preferential prices during off-peak periods.

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引用次数: 0

A hierarchical Wi-Fi log data processing framework for human mobility analysis in multiple real-world communities

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-01-18 DOI: 10.1016/j.tbs.2025.100985

Yuqiu Yuan , Lei Zhu , Mohini Joshi

Wi-Fi log data, including communication actions between clients and Access Points (APs), can be used to infer human movement and travel activity and thus would serve as a reliable data source for human mobility analysis. As more and more modern cities or communities provide public free Wi-Fi services, a vast amount of public Wi-Fi log data will be collected and have the potential to be used to characterize human travel patterns and thus develop more effective urban transportation management strategies. However, Wi-Fi log data processing is not trivial. Wi-Fi networks established by various internet equipment manufacturers and devices have different network settings and log file formats. Additionally, the complexity of Wi-Fi log data, along with the ping-pong phenomenon and invalid messages, can result in analysis bias and errors. Though previous studies have processed the specific Wi-Fi log data individually in different ways, a common framework that can address public Wi-Fi data from different locations is needed to improve data processing efficiency and analysis effectiveness. This study proposed a hierarchical and general Wi-Fi data processing and analysis framework to extract client travel activities from Wi-Fi log data. Wi-Fi log data collected from three communities in North Carolina- one university campus, the city of Wilson, and the town of Holly Springs, were processed and analyzed. Based on that, travel activities across different communities with specific Wi-Fi networks could be compared and analyzed to provide community human mobility and travel activity insights and the correlation between human travel and Wi-Fi network features.

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引用次数: 0

What is Transport Adequacy? Quantifying experienced transport poverty in the Netherlands 何谓运输充足？量化荷兰经历过的交通贫困

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-01-11 DOI: 10.1016/j.tbs.2024.100982

Dick Ettema , Dea van Lierop , Xingxing Fu , Pauline van den Berg , Iris Geigenmüller

It is increasingly recognized that access to transportation options and relevant destinations is not equally distributed across the population, calling for quantitative indicators to identify groups at risk of transport poverty and exclusion. While this has most commonly been done using accessibility measures based on objective land use and transportation data, we argue that subjective self-reported measures of travel options and accessibility are a useful complement, as they are more suited to account for travellers’ perceptions of limitations in the transportation system and outcomes of these limitations, such as limited access to desired destinations and the fulfilment of needs. Building on initial developments in the field of self-reported perceived accessibility, this paper describes the development and test of a comprehensive quantitative measurement scale of perceived transport adequacy. We propose an eight-item scale, which was tested on data collected in the cities of Utrecht and Rotterdam, the Netherlands in 2021, with a specific emphasis on including socially vulnerable populations in our sample. The transport adequacy scale has a high internal consistency, and a considerable variation across the sample. Descriptive and regression analyses suggest that transport adequacy is lower for those with lower incomes, no car access, and using mobility aids. Finally, subjective transport adequacy is associated with life outcomes, such as achievements in life, quality of social interactions and life satisfaction. The transport adequacy scale is a meaningful indicator of the extent to which travel needs are met and can be a useful tool to monitor autonomous developments and mobility interventions.

人们日益认识到，各种交通选择和相关目的地在人口中的分布并不均衡，因此需要制定量化指标，以确定面临交通贫困和被排斥风险的群体。虽然这通常是使用基于客观土地利用和交通数据的可达性措施来完成的，但我们认为，主观的自我报告的旅行选择和可达性措施是一个有用的补充，因为它们更适合解释旅行者对交通系统局限性的看法以及这些局限性的结果，例如到达预期目的地的途径有限，需求的实现有限。基于自我报告感知可达性领域的初步发展，本文描述了感知交通充足性的综合定量测量量表的开发和测试。我们提出了一个包含八个项目的量表，并对2021年在荷兰乌得勒支和鹿特丹收集的数据进行了测试，特别强调将社会弱势群体纳入我们的样本。运输充分性量表具有很高的内部一致性，并且在样本中存在相当大的差异。描述性和回归分析表明，对于那些收入较低、没有汽车通道和使用交通辅助工具的人来说，交通充足性较低。最后，主观交通充分性与生活结果有关，如生活成就、社会交往质量和生活满意度。交通充分性量表是衡量出行需求得到满足程度的一个有意义的指标，可以成为监测自主发展和交通干预措施的有用工具。

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引用次数: 0