Multimodal Transportation最新文献

{"title":"Spatiotemporal patterns and influences of demographic characteristics and land use patterns on micromobility ridership in Birmingham, Alabama","authors":"Mostafa Jafarzadehfadaki ,&nbsp;Virginia P. Sisiopiku ,&nbsp;Wencui Yang ,&nbsp;Dimitra Michalaka ,&nbsp;Kweku Tekyi Brown ,&nbsp;William J. Davis ,&nbsp;Jalal Khalil ,&nbsp;Da Yan","doi":"10.1016/j.multra.2024.100140","DOIUrl":"https://doi.org/10.1016/j.multra.2024.100140","url":null,"abstract":"<div><p>The rise of the sharing economy in recent years led to changes in transportation service delivery, including the introduction of micromobility services. Case studies are needed to better understand determinants of micromobility mode choice and its impacts on transportation operations. This study used data from a micromobility pilot program in Birmingham, Alabama to analyze spatiotemporal demand variations and explore correlations between micromobility ridership and demographic characteristics and land use patterns. Using space-time pattern mining techniques, temporal and spatial variations in micromobility usage were confirmed, with peak usage observed on Fridays, Saturdays and Sundays, during afternoon and evening hours, and during warmer months. Spatial analysis employed Kernel Density techniques and revealed concentrated micromobility trip origins in high-density areas such as Railroad Park, downtown, the University of Alabama at Birmingham (UAB) campus, and the Five Points South neighborhood. Correlations between Birmingham micromobility ridership and demographic characteristics and land use patterns were studied using clustering approaches and a multilevel negative binomial model. The model identified significant positive associations between micromobility ridership and the younger population (18–34 years of age), with a negative association in the 45–54 age group, signaling a decline in usage among older individuals. Regarding land uses, the model results showed significant positive correlations with the presence of park areas and commercial, residential, and industrial land uses, and the university campus. Furthermore, a positive correlation was observed with the National Walkability Index and parking facilities, whereas increased distance from the city center was associated with reduced micromobility ridership. The study offers valuable insights that can assist decision and policymakers in Birmingham as well as other medium-sized cities, in planning, and implementing micromobility programs that serve the local needs.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586324000212/pdfft?md5=3115ae4e352e0bba8fda1b65d887df2c&pid=1-s2.0-S2772586324000212-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141240803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A joint travel mode and departure time choice model in dynamic multimodal transportation networks based on deep reinforcement learning","authors":"Ziyuan Gu ,&nbsp;Yukai Wang ,&nbsp;Wei Ma ,&nbsp;Zhiyuan Liu","doi":"10.1016/j.multra.2024.100137","DOIUrl":"https://doi.org/10.1016/j.multra.2024.100137","url":null,"abstract":"<div><p>Decision on travel choices in dynamic multimodal transportation networks is non-trivial. In this paper, we tackle this problem by proposing a new joint travel mode and departure time choice (JTMDTC) model based on deep reinforcement learning (DRL). The objective of the model is to maximize individuals travel utilities across multiple days, which is accomplished by establishing a problem-specific Markov decision process to characterize the multi-day JTMDTC, and developing a customized Deep Q-Network as the resolution scheme. To render the approach applicable to many individuals with travel decision-making requests, a clustering method is integrated with DRL to obtain representative individuals for model training, thus resulting in an elegant and computationally efficient approach. Extensive numerical experiments based on multimodal microscopic traffic simulation are conducted in a real-world network of Suzhou, China to demonstrate the effectiveness of the proposed approach. The results indicate that the proposed approach is able to make (near-)optimal JTMDTC for different individuals in complex traffic environments, that it consistently yields higher travel utilities compared with other alternatives, and that it is robust to different model parameter changes.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586324000182/pdfft?md5=577982a14be687e3ffd60a512644df5e&pid=1-s2.0-S2772586324000182-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140909769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LNG bunkering infrastructure planning at port","authors":"Yu Guo ,&nbsp;Ran Yan ,&nbsp;Jingwen Qi ,&nbsp;Yannick Liu ,&nbsp;S. Wang ,&nbsp;Lu Zhen","doi":"10.1016/j.multra.2024.100134","DOIUrl":"https://doi.org/10.1016/j.multra.2024.100134","url":null,"abstract":"<div><p>Ships are traditionally powered by fossil fuels such as heavy fuel oil (HFO) and marine diesel oil (MDO), where the emissions, such as particulates, hydrocarbons (HC), carbon monoxide (CO), nitrogen oxides (NO_X) and carbon dioxide (CO₂), negatively affect the environment and human health. The International Maritime Organization (IMO) encourages shipping companies to use liquefied natural gas (LNG), which is a green fuel source to power shipping activities and is easy to store, to replace traditional marine fuels. There are three common methods of LNG bunkering: ship-to-ship, truck-to-ship, and port-to-ship. The objective of this study is to determine the optimal bunkering method at a port using an integer linear programming (ILP) model considering three kinds of costs: fixed, variable, and extra. To find the optimal bunkering method, the three methods and their related constraints are modeled into the ILP model. The results indicate that ship-to-ship is the optimal bunkering method for LNG under the scenario of the port considered. Numerical experiments are conducted to validate model performance and generate managerial insights.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586324000157/pdfft?md5=cfd02a8a29dc0d4d084b60d5717d9ea2&pid=1-s2.0-S2772586324000157-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140641228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the predictability of path flow distribution in urban road networks using an information entropy approach","authors":"Bao Guo ,&nbsp;Zhiren Huang ,&nbsp;Zhihao Zheng ,&nbsp;Fan Zhang ,&nbsp;Pu Wang","doi":"10.1016/j.multra.2024.100135","DOIUrl":"https://doi.org/10.1016/j.multra.2024.100135","url":null,"abstract":"<div><p>Predicting the distributions of path flow between origin-destination (OD) pairs in an urban road network is crucial for developing efficient traffic control and management strategies. Here, we use the large-scale taxi GPS trajectory data of San Francisco and Shenzhen to study the predictability of path flow distribution in urban road networks. We develop an approach to project the time-varying path flow distributions into a high-dimensional space. In the high-dimensional space, information entropy is used to measure the predictability of path flow distribution. We find that the distributions of path flow between OD pairs are in general characterized with a high predictability. In addition, we analyze the factors affecting the predictability of path flow distribution. Finally, an <em>n</em>-gram model incorporating high-order gram and low-order gram is proposed to predict the distribution of path flow. A relatively high prediction accuracy is achieved.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586324000169/pdfft?md5=994f09d682d6a0116fcbca2d5f88ba76&pid=1-s2.0-S2772586324000169-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140633000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards a decent transport for all: The transport dimension of decent living standards for just transitions to net-zero carbon emission","authors":"Xiao Fu ,&nbsp;Caroline Zimm","doi":"10.1016/j.multra.2024.100136","DOIUrl":"https://doi.org/10.1016/j.multra.2024.100136","url":null,"abstract":"","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586324000170/pdfft?md5=625de7ecbe9b57353fdc78aac6807501&pid=1-s2.0-S2772586324000170-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140605499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating connected autonomous shuttle buses as an alternative for public transport – A simulation-based study","authors":"Zheng Xu,&nbsp;Nan Zheng","doi":"10.1016/j.multra.2024.100133","DOIUrl":"https://doi.org/10.1016/j.multra.2024.100133","url":null,"abstract":"<div><p>The concept of connected autonomous shuttles is gaining recognition for its potential to revolutionize traditional public transport by offering a safer and more consistent travel experience. Despite technological advancements facilitating their integration into current traffic systems, research in this area is still exploratory, with public acceptance and trust in autonomous technology posing significant challenges. This paper contributes to the field by validating the benefits of deploying connected autonomous shuttles and examining their impact on ridership via an immersive experience. We introduce a VR-enabled co-simulation strategy to analyze the effects of replacing a traditional bus service line with connected shuttles in Melbourne, Australia. Our case study results reveal that while autonomous shuttles can reduce travel time because of optimized vehicle motion, their traffic efficiency is affected by fleet size, with the optimal fleet size identified as four in the study area. Furthermore, we observed a mismatch between participants’ stated intentions and actual boarding behavior, indicating that the attractive appearance of this novel mobility mode may not necessarily enhance ridership. Our work offers an alternative approach to simulation studies in futuristic public transportation and complement existing literature in the field.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586324000145/pdfft?md5=f50cedc70c3b26ca811b14810ebcdae2&pid=1-s2.0-S2772586324000145-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140346857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring modal shift in non-active sustainable transport modes during the first wave of COVID-19 in Bangladesh","authors":"Shaila Jamal ,&nbsp;Antonio Paez","doi":"10.1016/j.multra.2024.100130","DOIUrl":"https://doi.org/10.1016/j.multra.2024.100130","url":null,"abstract":"<div><p>Although mode switching caused by COVID-19 is an important travel behavior question in the Global North, countries in the Global South, particularly South Asia, have yet to adequately identify how transportation systems and travel behavior have evolved due to the pandemic. To contribute to this question, this study explored changes in the use frequency of the most common non-active sustainable alternatives in Bangladesh, namely buses and rickshaws. By emphasizing attitudes and perceptions along with sociodemographic characteristics, this study contributed to the understanding of how different factors influence individuals’ shifts in the usage frequency of buses and rickshaws in Bangladesh. Our study suggested that in general, buses have lost more ridership than rickshaws. Findings from a multivariate ordinal model suggested that the middle-income group had reduced their bus use frequency, and the low-income group had increased their rickshaw use frequency during the first wave of the pandemic. Also, there could be a possible reduction in bus use in the post-lockdown and post-pandemic periods if the risk perception continues to remain in the public consciousness. Moreover, those who cared less about the social distancing measures and had confidence in their immune system had increased their bus use frequency during the pandemic. Compared to bus use frequency, there have been fewer changes in rickshaw use frequency during the pandemic, indicating that rickshaws had become a comparatively more viable mode during the pandemic. Based on the findings, the study discussed the policy implications of keeping buses and rickshaws as viable, sustainable transport modes in the post-pandemic period.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277258632400011X/pdfft?md5=acbe6561cf52e43e32533b40ffad4353&pid=1-s2.0-S277258632400011X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140296186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Passengers' requests clustering with k-prototype algorithm for the first-mile and last-mile (FMLM) shared-ride taxi service","authors":"Azimah Mohd ,&nbsp;Lay Eng Teoh ,&nbsp;Hooi Ling Khoo","doi":"10.1016/j.multra.2024.100132","DOIUrl":"https://doi.org/10.1016/j.multra.2024.100132","url":null,"abstract":"<div><p>Shared mobility services are evolving globally. However, the first-mile and last-mile (FMLM) shared-ride taxi service poses a complex problem due to its large-scale nature and mixed-type variables (numeric and categorical features). As the input size of the problem increases exponentially, the absence of a known polynomial-time algorithm further complicates the finding of an optimal solution. Consequently, exploring potential solutions becomes computationally infeasible for more significant instances. Thus, this paper proposes using the k-prototype algorithm, an unsupervised learning approach, to cluster passengers' requests for FMLM shared-ride taxi service, which can reduce the problem's complexity via feasible clustering. Notably, the k-prototype algorithm is suitable for data sets with both numeric and categorical variables. It demonstrates a promising ability to handle large data sets effectively. As presented in this paper, the FMLM shared-ride taxi service prototypes and their unique characteristics could be optimally identified using the k-prototype algorithm with the Silhouette coefficient (as a performance index). By examining an illustrative case study with ten mixed-type variables of 946 passengers' requests, the results demonstrate the effective clustering of passengers' requests into three distinct prototypes, which can be characterized uniquely based on the temporal factors (pickup time of individual requests) and trip characteristics (including traveled distance, taxi type, as well as pickup and drop-off locations) that are significant in operating a competitive shared-ride taxi service. This paper is anticipated to reveal useful practical implications for the relevant stakeholders, especially the taxi service providers, in managing the FMLM shared-ride taxi services optimally to ensure an efficient and effective operating system.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586324000133/pdfft?md5=128170411b4f4b7fcb38a6a108487011&pid=1-s2.0-S2772586324000133-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140296185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the correlation between hard-braking events and traffic crashes in regional transportation networks: A geospatial perspective","authors":"Suoyao Feng,&nbsp;Aobo Wang,&nbsp;Zong Tian,&nbsp;Seri Park","doi":"10.1016/j.multra.2024.100128","DOIUrl":"https://doi.org/10.1016/j.multra.2024.100128","url":null,"abstract":"<div><p>Traffic crashes are deemed a leading cause of death and injury in the United States. To improve traffic safety, historical traffic crash data are typically analyzed with a focus on factors such as roadway geometry and traffic volume. However, due to the infrequent and sporadic nature of traffic crashes, obtaining traffic safety evaluation for specific roadways requires a time and resource-intensive process, which involves extended periods of data collection and rigorous statistical reasoning. This paper explores alternative approaches, using hard-braking data collected from connected vehicles to develop a cost-efficient surrogate traffic safety measure. The geospatial correlations between hard-braking events and traffic crash locations are examined through two geospatial analysis methods: colocation analysis and network cross K-function. A case study was conducted in northern Nevada to identify hard-braking hot spots and reveal the overall cluster pattern. The colocation analysis identified that individual hard-braking events can be spatially related to crashes based on the network cross K-function result. The cases of four tracts in Reno, Nevada also demonstrate that the selection of clustering distances can influence the correlation between hard braking events and traffic crashes. This study shows the potential of using connected vehicle data to produce safety analyses for transportation networks.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586324000091/pdfft?md5=fb41d1fcfba3651922a6617f0d5e75d2&pid=1-s2.0-S2772586324000091-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140145384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Taxi in competition with online car-hailing drivers: Policy implication to operating strategies","authors":"Tianqi Gu ,&nbsp;Weiping Xu ,&nbsp;Peijie Shi ,&nbsp;Ruiyi Wang ,&nbsp;Inhi Kim","doi":"10.1016/j.multra.2024.100129","DOIUrl":"https://doi.org/10.1016/j.multra.2024.100129","url":null,"abstract":"<div><p>Car-hailing and taxis coexist and constitute a healthy market in normal times when demand is sufficient for growing supplies. However, in a limited market influenced by disruptive issues such as COVID-19, drivers from online car-hailing and local taxi operators have been compelled to engage in competition due to the shrinking revenue. The distinct occupational characteristics and operation patterns of drivers in different groups directly influence their operational strategies (whether to operate or not), which remains an unexplored research area. To this end, this article analyzes the contrast in diverse operating indicators between the two service models before and following the outbreak of the epidemic based on a local case study in Suzhou. It establishes an income matrix for drivers in varied scenarios and employs evolutionary game theory (EGT) to dissect the dynamic operating strategies of taxi and online car-hailing drivers. Furthermore, considering the impact of disruptive issues on market demand, this study also introduces an optimized dynamic income incentive mechanism. The findings demonstrate that when disruptive issues arise and last for a considerable extended period, a 'winner-takes-all' market scenario might unfold - the potential monopoly of one service type. To circumvent this scenario, proactive human intervention can be employed at opportune moments, such as augmenting initial income, to establish the equilibrium state of ESS (1,1)—a balanced and robust coexistence of the two services. Overall, this paper provides a set of novel indicators to identify different drivers’ operation strategies, and applies EGT to analyze and estimate their operation strategies during disruptive events.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586324000108/pdfft?md5=d63c5fb6278bbb62b160a2166075448a&pid=1-s2.0-S2772586324000108-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140067111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}