Multimodal Transportation最新文献_第9页

Airlines Seat Pricing with Seat Upgrading 座位升级的航空公司座位定价

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100054

Yihua Li , Ahmadreza Mahmoudzadeh , Xiubin Bruce Wang

引用次数: 1

Lufthansa Express Rail in Germany: A critical evaluation of benefits and limitations of the intermodal network based on journey time and fares 德国汉莎航空快线：基于行程时间和票价的多式联运网络效益和局限性的批判性评估

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100048

Sebastian Wandelt, Xiaoqian Sun

{"title":"Lufthansa Express Rail in Germany: A critical evaluation of benefits and limitations of the intermodal network based on journey time and fares","authors":"Sebastian Wandelt, Xiaoqian Sun","doi":"10.1016/j.multra.2022.100048","DOIUrl":"https://doi.org/10.1016/j.multra.2022.100048","url":null,"abstract":"<div><p>Frankfurt Airport is a role model for intermodal infrastructure, given its excellent degree of air, rail, and road connectivity. The connection Cologne-Frankfurt, for instance, is frequently used as the prime example for air-rail mode substitution, where a high-frequent rail service from Cologne Main Station to the integrated air-rail terminal at Frankfurt Airport completely replaced air service between the two cities in the year 2007. In recent years, Lufthansa and Deutsche Bahn have gradually expanded this role model into a whole network product covering 24 cities connected for Frankfurt Airport, advertised as Lufthansa Express Rail. In this study, we analyze the potential benefits of Lufthansa Express Rail for the 24 cities in terms of journey time and journey fare, comparing it to flights departing from the 24 origin cities directly. Our results indicate that the network and schedule together do not lead to obvious advantages for either time-sensitive or price-sensitive passengers, compared to the prime example Cologne-Frankfurt. Our study contributes to the analysis of air-rail integration, highlighting the difficulties which are inherent when extending a prime example corridor into a working network product.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277258632200048X/pdfft?md5=2b78824a9034118016a5363aa6eaa4f7&pid=1-s2.0-S277258632200048X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72073622","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}

引用次数: 0

Analysis of social acceptability in the implementation of a congestion pricing area in Senegal 塞内加尔实施拥堵收费地区的社会可接受性分析

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100036

Anna Ndiaye Fall

引用次数: 5

“Predict, then optimize” with quantile regression: A global method from predictive to prescriptive analytics and applications to multimodal transportation 分位数回归的“预测，然后优化”：一种从预测到规定分析的全球方法及其在多式联运中的应用

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100035

Shuaian Wang , Ran Yan

引用次数: 10

Road condition monitoring using unsupervised learning based bus trajectory processing 基于无监督学习的公交车轨迹处理的路况监测

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100041

Pruthvish Rajput, Manish Chaturvedi, Vive Patel

引用次数: 10

Investigating tools for evaluating service and improvement opportunities on bicycle routes in Ohio, United States 评估美国俄亥俄州自行车路线服务和改进机会的调查工具

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100040

Kailai Wang , Gulsah Akar , Long Cheng , Kevin Lee , Meredyth Sanders

{"title":"Investigating tools for evaluating service and improvement opportunities on bicycle routes in Ohio, United States","authors":"Kailai Wang , Gulsah Akar , Long Cheng , Kevin Lee , Meredyth Sanders","doi":"10.1016/j.multra.2022.100040","DOIUrl":"https://doi.org/10.1016/j.multra.2022.100040","url":null,"abstract":"<div><p>Over the past two decades, transportation engineers and urban planners have become increasingly interested in using performance measures to capture roadway infrastructure effects on bicyclists' comfort levels. In this study, a tool is developed for evaluating Ohio's local roads and identifying opportunities for improvement. This begins by assessing the available data sources required to develop a customized model for Ohio, United States. Stakeholder interviews and data assessment outcomes indicate that most local jurisdictions do not have access to all relevant data for a complete bicycle level of traffic stress (LTS) analysis. Therefore, we extend the original bicycle LTS framework by formulating effective methods to deal with missing data. The designed methods are based on Ohio's functional classification system, and existing data on speed limits, traffic volumes, and bicycle facility widths. Our approach enables agencies to conduct bicycle LTS analysis when critical data elements are missing (such as posted speed limits, traffic volumes, and bicycle facility widths). For example, compared to the assignments with completed Mid-Ohio region data, the proposed approach reaches a 90% match in bicycle LTS score assignments in urban areas when road traffic volumes are missing. Local communities in Ohio and beyond can adopt the proposed approach to achieve interim and temporary results when collecting accurate data is not feasible due to time and cost considerations.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586322000405/pdfft?md5=4a56d01426f18b297e35a6a055893895&pid=1-s2.0-S2772586322000405-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72073619","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}

引用次数: 13

Discussions on pedestrian delay models and applications at signalized crosswalks 信号人行横道行人延误模型及应用探讨

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100039

Weijie Chen, Feng Zhu

引用次数: 7

Recent advances in understanding the impact of built environment on traffic performance 了解建筑环境对交通性能影响的最新进展

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100034

Dong Xiao , Inhi Kim , Nan Zheng

引用次数: 3

Demand management for smart transportation: A review 智能交通的需求管理：综述

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100038

Xiaoran Qin , Jintao Ke , Xiaolei Wang , Yili Tang , Hai Yang

{"title":"Demand management for smart transportation: A review","authors":"Xiaoran Qin , Jintao Ke , Xiaolei Wang , Yili Tang , Hai Yang","doi":"10.1016/j.multra.2022.100038","DOIUrl":"https://doi.org/10.1016/j.multra.2022.100038","url":null,"abstract":"<div><p>The current revolutions of automation, electrification, and sharing are reshaping the way we travel, with broad implications for future mobility management. While much uncertainty remains about how these disruptive technologies would exactly impact demand for future mobility and enhancement of transportation supply, it is clear that innovative demand management is equally important as smart supply technology development in solving worsening traffic problems in big cities. In this work, we will discuss the significances, opportunities, and challenges of demand management in the era of smart transportation. Innovative ways of travel demand management for road transportation, public transit, and smart mobility are described, including tradable travel credit schemes for road congestion mitigation, revenue-preserving and Pareto-improving strategies for peak-hour transit demand management, and a novel reward scheme integrated with surge pricing in a ride-sourcing market.</p></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772586322000387/pdfft?md5=ed36296fcb63908a21440b02b3d8a3b6&pid=1-s2.0-S2772586322000387-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72073620","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}

引用次数: 14

Lufthansa Express Rail in Germany: A critical evaluation of benefits and limitations of the intermodal network based on journey time and fares 德国汉莎快速铁路:基于旅程时间和票价的多式联运网络的优势和局限性的关键评估

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100048

S. Wandelt, Xiaoqian Sun

引用次数: 0