Pub Date : 2025-02-11DOI: 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.
{"title":"Integrating machine learning and discrete choice modeling for enhanced shopping destination choice model","authors":"MD Jahedul Alam , Niaz Mahmud , Muhammad Ahsanul Habib","doi":"10.1016/j.tbs.2025.100998","DOIUrl":"10.1016/j.tbs.2025.100998","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 100998"},"PeriodicalIF":5.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378633","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}
Pub Date : 2025-02-11DOI: 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}
Pub Date : 2025-02-02DOI: 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.
{"title":"Uncovering how online attractiveness mediates and moderates the impact of multi-scale transportation accessibility on non-work mobility","authors":"Enjia Zhang , Wenzhu Li , Ying Long","doi":"10.1016/j.tbs.2025.100991","DOIUrl":"10.1016/j.tbs.2025.100991","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100991"},"PeriodicalIF":5.1,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144285","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}
Pub Date : 2025-01-25DOI: 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.
{"title":"Exploring the integration of urban air mobility into Mobility-as-a-Service: A stated preference analysis of commuters","authors":"Ying Zhao, Yan Hu, Tao Feng","doi":"10.1016/j.tbs.2025.100990","DOIUrl":"10.1016/j.tbs.2025.100990","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100990"},"PeriodicalIF":5.1,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144284","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}
Pub Date : 2025-01-22DOI: 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.
{"title":"Machine learning approach for analyzing feature importance in alternative fuel vehicle selection","authors":"Mina Kim , Hyunhong Choi , Yoonmo Koo","doi":"10.1016/j.tbs.2025.100987","DOIUrl":"10.1016/j.tbs.2025.100987","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100987"},"PeriodicalIF":5.1,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027275","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}
Pub Date : 2025-01-21DOI: 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.
{"title":"Virtual experimental study on pedestrian evacuation dynamics in view-limited environment","authors":"Ruoyu Li , Yanxu Wang , Qiao Wang , Juan Chen , Jian Ma","doi":"10.1016/j.tbs.2025.100988","DOIUrl":"10.1016/j.tbs.2025.100988","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100988"},"PeriodicalIF":5.1,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027360","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}
Pub Date : 2025-01-20DOI: 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.
{"title":"Modelling electric vehicle charging events using a random parameter duration approach","authors":"Yasir Ali , Fredrik Monsuur , Craig Morton , Cheuk Ki Man","doi":"10.1016/j.tbs.2025.100989","DOIUrl":"10.1016/j.tbs.2025.100989","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100989"},"PeriodicalIF":5.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-18DOI: 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.
{"title":"A hierarchical Wi-Fi log data processing framework for human mobility analysis in multiple real-world communities","authors":"Yuqiu Yuan , Lei Zhu , Mohini Joshi","doi":"10.1016/j.tbs.2025.100985","DOIUrl":"10.1016/j.tbs.2025.100985","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100985"},"PeriodicalIF":5.1,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027291","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}
Pub Date : 2025-01-11DOI: 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.
{"title":"What is Transport Adequacy? Quantifying experienced transport poverty in the Netherlands","authors":"Dick Ettema , Dea van Lierop , Xingxing Fu , Pauline van den Berg , Iris Geigenmüller","doi":"10.1016/j.tbs.2024.100982","DOIUrl":"10.1016/j.tbs.2024.100982","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100982"},"PeriodicalIF":5.1,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As Thailand’s population ages and high-speed rail (HSR) infrastructure develops, understanding elderly travelers’ expectations becomes crucial. This study investigates the determinants of elderly travelers’ expectations and behaviors regarding HSR services in Thailand, comparing leisure and other-purpose travelers. Data was collected from 3,201 elderly respondents (1,101 leisure, 2,100 other-purpose) across five regions of Thailand through face-to-face surveys. Employing exploratory factor analysis, confirmatory factor analysis, and measurement invariance testing, the study identified seven key constructs influencing elderly travelers’ HSR expectations. Results reveal significant differences between leisure and other-purpose travelers. Leisure travelers are primarily influenced by Innovativeness and Perceived Behavioral Control, while other-purpose travelers are more affected by Facilitating Conditions and Performance Expectancy. Subjective Norm moderately influences both groups, while Optimism is more important for other-purpose travelers. These findings underscore the need for tailored approaches in HSR service design and marketing strategies. Policy recommendations include implementing user-friendly interfaces, comprehensive training programs, supportive infrastructure, and targeted communication strategies. The study contributes to the literature on elderly mobility in emerging HSR markets and provides a validated measurement model for assessing elderly travelers’ expectations. It offers valuable insights for HSR operators, policymakers, and researchers working to enhance elderly mobility and promote inclusive transportation systems in the context of aging populations and developing HSR infrastructure.
{"title":"Elderly travelers’ expectations of high-speed railway services in Thailand: A comparative study of leisure and other purposes","authors":"Thanapong Champahom , Dissakoon Chonsalasin , Adisorn Dangbut , Fareeda Watcharamaisakul , Sajjakaj Jomnonkwao , Vatanavongs Ratanavaraha","doi":"10.1016/j.tbs.2025.100984","DOIUrl":"10.1016/j.tbs.2025.100984","url":null,"abstract":"<div><div>As Thailand’s population ages and high-speed rail (HSR) infrastructure develops, understanding elderly travelers’ expectations becomes crucial. This study investigates the determinants of elderly travelers’ expectations and behaviors regarding HSR services in Thailand, comparing leisure and other-purpose travelers. Data was collected from 3,201 elderly respondents (1,101 leisure, 2,100 other-purpose) across five regions of Thailand through face-to-face surveys. Employing exploratory factor analysis, confirmatory factor analysis, and measurement invariance testing, the study identified seven key constructs influencing elderly travelers’ HSR expectations. Results reveal significant differences between leisure and other-purpose travelers. Leisure travelers are primarily influenced by Innovativeness and Perceived Behavioral Control, while other-purpose travelers are more affected by Facilitating Conditions and Performance Expectancy. Subjective Norm moderately influences both groups, while Optimism is more important for other-purpose travelers. These findings underscore the need for tailored approaches in HSR service design and marketing strategies. Policy recommendations include implementing user-friendly interfaces, comprehensive training programs, supportive infrastructure, and targeted communication strategies. The study contributes to the literature on elderly mobility in emerging HSR markets and provides a validated measurement model for assessing elderly travelers’ expectations. It offers valuable insights for HSR operators, policymakers, and researchers working to enhance elderly mobility and promote inclusive transportation systems in the context of aging populations and developing HSR infrastructure.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100984"},"PeriodicalIF":5.1,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939871","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}
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