Transportation最新文献

Transit-based job accessibility of workers with different educational attainments in México City: gaps with public transportation potential needs indices

IF 4.3 2区工程技术

Transportation Pub Date : 2025-04-03 DOI: 10.1007/s11116-025-10603-y

Dorian Antonio Bautista-Hernández

{"title":"Transit-based job accessibility of workers with different educational attainments in México City: gaps with public transportation potential needs indices","authors":"Dorian Antonio Bautista-Hernández","doi":"10.1007/s11116-025-10603-y","DOIUrl":"https://doi.org/10.1007/s11116-025-10603-y","url":null,"abstract":"Evaluating spatial access to urban opportunities (such as jobs) has been an emergent approach to studying urban inequities. Unlike in developed countries, where scholars have identified a significant correlation between socioeconomic inequality and residential segregation, Mexico City exhibits relatively high levels of inequality but not extensive segregation in terms of educational outcomes. What is the role of this phenomenon in job access for workers with different educational attainments? This study in the Greater Mexico City area calculates access by public transport using a competitive measure and evaluates the spatial overlapping with other potential socioeconomic groups at a disadvantage. Transit potential needs indices were computed using scaling and exploratory factor analysis. Then, a spatial overlap analysis evaluated where the most significant gaps exist. Results showed that job access by transit decreases with increasing levels of education. This was explained by the location of stationary jobs in specific central corridors for the highly educated and a relative increase in educational outcomes of the population living toward the outskirts (increasing spatial mismatch). The gaps with each transit potential needs index were discussed regarding geographical patterns and potential population groups at a disadvantage. This work contributes to a better understanding of transit disadvantage conditions in the developing context.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"34 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766965","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

Identifying main drivers for students and staff members’ choice or to work/study from home or attend university campus and their transport mode choice: a case study in Australia

IF 4.3 2区工程技术

Transportation Pub Date : 2025-04-03 DOI: 10.1007/s11116-025-10606-9

Camila Balbontin, John D. Nelson, David A. Hensher, Matthew J. Beck

{"title":"Identifying main drivers for students and staff members’ choice or to work/study from home or attend university campus and their transport mode choice: a case study in Australia","authors":"Camila Balbontin, John D. Nelson, David A. Hensher, Matthew J. Beck","doi":"10.1007/s11116-025-10606-9","DOIUrl":"https://doi.org/10.1007/s11116-025-10606-9","url":null,"abstract":"Universities are major trip attractors and generators in large cities, and they have a significant influence on the transport network particularly in high-density areas. The trips to and from university campuses are made by staff, students, and visitors, with an important daily rotation of people (e.g., students who leave early, arrive later, etc.). In this study, we aim to improve our understanding of the trips made to the University of Sydney campuses, one of the largest universities in Australia, through investigation of how individuals (namely, staff and students) choose to study/work from home and their modes of transport used to go to campus on different days of the week. We have collected three sets of data: one in 2022 and two in 2023, using a survey answered by both staff and students. A hybrid logit model including latent variables is estimated to understand the motivations and main drivers to work/study from home and to choose different modes of transport when attending campus. The results indicate that while travel times and costs/fare are important, they are not the primary factors influencing travel behaviour and mode choices. One key factor was whether staff and students worked or studied from home and campus on the same day, with these individuals more likely to use active transport modes, which is also associated with living closer to campus. Students living farther from campus tend to attend more frequently and primarily use public transport. Social connections and a preference for in-person activities are significant motivations that drive different weekly mobility decisions.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"37 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766923","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

Understanding the impact of city-wide cycling corridors on cycling mode share among different demographic clusters in Greater Melbourne, Australia

IF 4.3 2区工程技术

Transportation Pub Date : 2025-04-03 DOI: 10.1007/s11116-025-10599-5

Afshin Jafari, Steve Pemberton, Dhirendra Singh, Tayebeh Saghapour, Alan Both, Lucy Gunn, Billie Giles-Corti

{"title":"Understanding the impact of city-wide cycling corridors on cycling mode share among different demographic clusters in Greater Melbourne, Australia","authors":"Afshin Jafari, Steve Pemberton, Dhirendra Singh, Tayebeh Saghapour, Alan Both, Lucy Gunn, Billie Giles-Corti","doi":"10.1007/s11116-025-10599-5","DOIUrl":"https://doi.org/10.1007/s11116-025-10599-5","url":null,"abstract":"In car-dominated cities like Melbourne, Australia, limited data on cyclists’ travel patterns and socio-demographic differences complicate understanding of the effectiveness of infrastructure investment interventions aimed at promoting cycling. Recent advancements in city-scale transport modelling enable virtual testing of such interventions. However, the application of agent- and activity-based models for large-scale cycling simulations has been constrained by data and complexity. In this study, we developed a city-scale agent-based simulation model for Greater Melbourne to evaluate changes in travel mode share from cycling infrastructure modifications. We clustered bicycle riders into five demographic groups: Maverick Males, Motivated Adults, Conscientious Commuters, Young Sprinters, and Relaxed Cruisers, estimating mode choice parameters for each group. Using aggregated smartphone application data, we developed a cycling trip routing methodology to incorporate road infrastructure impacts. Results indicated that travel time significantly influences mode choice across all clusters. Cycling infrastructure was crucial for four clusters, and travel cost influenced four clusters. The calibrated model assessed the potential impact of fully implementing Greater Melbourne’s strategic cycling corridors, a network of key cycling routes. Simulations suggested an initial 30% increase in cycling use, raising the mode share to approximately 2.6%, indicating a modest overall impact. Further analysis showed that even with full implementation, on average about half of the lengths of the routed bikeable trips would still occur on roads without any cycling infrastructure. This underscores the need to improve infrastructure on both major corridors and minor roads, and to complement these improvements with behavioural interventions.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"12 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766928","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

A brief history of travel forecasting

IF 4.3 2区工程技术

Transportation Pub Date : 2025-04-03 DOI: 10.1007/s11116-025-10609-6

Marco Nie

引用次数: 0

Who stays and who plays? Participant retention and smartphone app usage in a longitudinal travel survey

IF 4.3 2区工程技术

Transportation Pub Date : 2025-03-29 DOI: 10.1007/s11116-025-10608-7

Stephen P. Greaves, Alec Cobbold, Oliver Stanesby, Melanie J. Sharman, Kim Jose, Jack Evans, Verity Cleland

{"title":"Who stays and who plays? Participant retention and smartphone app usage in a longitudinal travel survey","authors":"Stephen P. Greaves, Alec Cobbold, Oliver Stanesby, Melanie J. Sharman, Kim Jose, Jack Evans, Verity Cleland","doi":"10.1007/s11116-025-10608-7","DOIUrl":"https://doi.org/10.1007/s11116-025-10608-7","url":null,"abstract":"Longitudinal studies have become increasingly popular for investigating changes in behaviour, but present additional challenges around participant recruitment, retention, engagement with survey tasks, additional burden and ultimately data quality. Personal technologies, particularly smartphones, have become integral to tackling these challenges but come with their own caveats around user acceptance and engagement. The current paper investigates these issues in the context of a longitudinal study of interventions designed to encourage use of public transport and increase associated physical activity in Tasmania, Australia. The study comprised multiple waves of data collection over a seven-month period in which travel data were collected using a smartphone app supplemented with user experience surveys. Attrition is lower for older participants, those engaging with the app more, and those responding to the research/environmental/health messaging of the survey as well as the potential for financial gain. App usage is lower among older participants while app engagement is stronger for males, those recording less travel and those indicating environmental reasons as a motivator for completing the study. Experiences with the app are mixed, participants report positive sentiments about the ease of use, hedonic motivation, and help in recalling travel; however, concerns are raised over the accuracy of trip recording, the associated burden of correcting trips, and reductions in smartphone battery-life. Despite the unplanned coincidence with the COVID-19 restrictions, outcomes provide important guidance around recruitment, retention and post-hoc analysis of results from longitudinal studies.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"57 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734023","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

A novel dynamic path planning method TD learning supported modified spatiotemporal GNN-LSTM model on large urban networks

IF 4.3 2区工程技术

Transportation Pub Date : 2025-03-29 DOI: 10.1007/s11116-025-10600-1

Abdullah Karaağaç

引用次数: 0

Exploring active travel behaviour of high-income immigrants in the Netherlands throughout the life course

IF 4.3 2区工程技术

Transportation Pub Date : 2025-03-28 DOI: 10.1007/s11116-025-10591-z

Koen Faber, Simon Kingham, Lindsey Conrow, Dea van Lierop

{"title":"Exploring active travel behaviour of high-income immigrants in the Netherlands throughout the life course","authors":"Koen Faber, Simon Kingham, Lindsey Conrow, Dea van Lierop","doi":"10.1007/s11116-025-10591-z","DOIUrl":"https://doi.org/10.1007/s11116-025-10591-z","url":null,"abstract":"Walking and cycling are widely encouraged to improve safety, promote health and avoid externalities generated by other transport modes, such as air and noise pollution, and greenhouse gas emissions. Many practitioners and policymakers turn to well-established active mobility cultures, such as the Netherlands, to identify best planning practices. However, walking and cycling rates remain low, and arguments are made that besides built environment characteristics, cultural contexts and social norms are also important in encouraging walking and cycling. While travel behaviour is found to be significantly influenced by socialisation factors (e.g. cultural and social norms), the processes of influence are mediated through an intermediate step of past behaviour. In order to understand the role of socialisation factors in changes towards active travel behaviour a whole view of an individual’s life is therefore needed. This study addresses this research gap by investigating the role of long-term socialisation factors and built environment characteristics in the active travel behaviour of high-income immigrants (e.g. expats) living in the Netherlands, using a qualitative, biographical approach. The findings demonstrate that walking and cycling behaviour can significantly change due to the presence of facilitating factors in the built environment, supportive social networks and the normalisation of walking and cycling as modes of transport. People who have grown up and lived in places with little tradition of walking and cycling, can change their travel behaviour if the environment, both physical and social, makes walking and cycling a viable and attractive option to travel instead of using motorised transportation.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"36 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734021","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

Economic and financial impacts of working from home and Covid-19 on the British public transport system

IF 4.3 2区工程技术

Transportation Pub Date : 2025-03-28 DOI: 10.1007/s11116-025-10601-0

Peter White

引用次数: 0

Modelling route choice in public transport with deep learning

IF 4.3 2区工程技术

Transportation Pub Date : 2025-03-10 DOI: 10.1007/s11116-025-10597-7

Alessio Daniele Marra, Francesco Corman

{"title":"Modelling route choice in public transport with deep learning","authors":"Alessio Daniele Marra, Francesco Corman","doi":"10.1007/s11116-025-10597-7","DOIUrl":"https://doi.org/10.1007/s11116-025-10597-7","url":null,"abstract":"For choice problems in transportation, machine learning and deep learning are alternative methods to traditional choice models. While several works explored the potential of this technology for modelling mode choice, lower attention is given to route choice, especially in public transport. In this work, we propose a deep learning model designed specifically for route choice in public transport. The model can estimate a nonlinear utility function, allowing complex interactions among the variables; it can easily include non-alternative specific variables, such as weather or socio-demographic information. Moreover, compared to the traditional choice models, it numerically outperforms the Path Size Logit Model in prediction performance, and does not require pre-specification of the model by an experienced human modeler. These properties are particularly useful for route choice analyses, to capture possible heterogeneities or complex behavior, which are difficult to model a priori. We evaluated the interpretability of the model observing the marginal rates of substitution and applying Accumulated Local Effects, showing meaningful effects of the variables on the probability to choose an alternative. We tested the proposed model on a large-scale dataset based on GPS tracking. We considered both synthetic choices, to demonstrate the model properties, and real choices, to evaluate the model in practice. The results showed moderately better performance of the deep learning model compared to the Path Size Logit, confirming the possibility of using it for modeling and predicting route choice.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"25 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583014","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

Travel contexts for different forms of multimodality in the new urban mobility landscape: a latent class analysis

IF 4.3 2区工程技术

Transportation Pub Date : 2025-03-10 DOI: 10.1007/s11116-025-10596-8

Xingxing Fu, Dea van Lierop, Dick Ettema

{"title":"Travel contexts for different forms of multimodality in the new urban mobility landscape: a latent class analysis","authors":"Xingxing Fu, Dea van Lierop, Dick Ettema","doi":"10.1007/s11116-025-10596-8","DOIUrl":"https://doi.org/10.1007/s11116-025-10596-8","url":null,"abstract":"Multimodality has been recognised as a sustainable way of travel, triggering transport policies to seek solutions that facilitate multimodality. However, although emerging mobility services and transport options in the new urban mobility landscape unlock new possibilities for multimodality, little is known about their roles in different forms of multimodal travel. Therefore, this study investigated the forms of multimodality and their relationship with individual travel contexts considering new trends in the urban mobility sector. In the identification of modality styles, a broader and more detailed set of transport modes was considered; and in the definition of individual travel contexts, a series of factors related to the availability and accessibility of transport options and mobility services were considered. Using latent class analysis, this study identified five modality styles including three forms of multimodality that have not been found in previous research. Distinct forms of public transport (bus, tram, metro, and train) were found to be used in conjunction with other transport modes in different ways, leading to different forms of multimodality. Mopeds and motorcycles, rarely considered in previous research, were found to be the primary travel mode for a small group of people. In addition, weighted multinomial logit regression was used to assess the association between individual travel contexts and modality styles. The results indicate that new mobility services, such as (e-)bike-sharing, have the potential to promote more sustainable forms of multimodality that combine active modes with public transport.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"38 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583015","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