Multimodal Transportation最新文献_第8页

High-speed rail and carbon emissions 高铁与碳排放

Multimodal Transportation Pub Date : 2023-03-01 DOI: 10.1016/j.multra.2022.100062

Yulai Wan , Anming Zhang

引用次数: 1

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

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

D. Xiao, Inhi Kim, Nan Zheng

引用次数: 3

Airlines Seat Pricing with Seat Upgrading 航空公司座位价格与座位升级

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

Yihua Li, A. Mahmoudzadeh, X. Wang

引用次数: 1

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

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

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

引用次数: 11

Demand management for smart transportation: A review 智能交通需求管理研究综述

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

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

引用次数: 11

Analysis of spatiotemporal dynamics of e-scooter usage in Minneapolis: Effects of the built and social environment 明尼阿波利斯市电动踏板车使用的时空动态分析：建筑和社会环境的影响

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100037

Ahmad Ilderim Tokey , Shefa Arabia Shioma , Shaila Jamal

{"title":"Analysis of spatiotemporal dynamics of e-scooter usage in Minneapolis: Effects of the built and social environment","authors":"Ahmad Ilderim Tokey , Shefa Arabia Shioma , Shaila Jamal","doi":"10.1016/j.multra.2022.100037","DOIUrl":"https://doi.org/10.1016/j.multra.2022.100037","url":null,"abstract":"<div><p>This study aims to explore the spatial and temporal dynamics of e-scooter usage and its association with the built and social environmental attributes in Minneapolis, Minnesota. Using a 4-month long trip data from 2019, this street-segment-level (N=13,367) study deployed negative binomial regression to build trip generation and destination models. The extent of the impact of built and social environment-related attributes varies at different temporal dimensions of e-scooting. Regarding spatial pattern, university areas and areas close to downtown generated substantially higher trips than other Minneapolis areas. In terms of temporal pattern, trips are more diffused at night and morning, and more concentrated in midday and evening. The high percentage of residential, commercial, and institutional land uses, a higher land use mix, high-valued parcels, and more food-related Points of Interest are strongly associated with e-scooter usage. E-scooter is heavily used in areas with more bike-dependent commuter, less car-dependent commuter, and young-aged people. Further, the presence of a sidewalk, bike-share station, bus stop, and transit shelter on a street segment positively affect scooter usage. These findings will assist e-scooter operators and city planners to formulate policies. Further, by strengthening the literature, this study can serve as a foundation for cities new in e-scooter mobility.</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/S2772586322000375/pdfft?md5=b360d6294a55b40b27aa06a737f7cbc5&pid=1-s2.0-S2772586322000375-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72073623","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: 9

Analysis of social acceptability in the implementation of a congestion pricing area in Senegal 塞内加尔实施拥堵收费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: 6

Analysis of spatiotemporal dynamics of e-scooter usage in Minneapolis: Effects of the built and social environment 明尼阿波利斯电动滑板车使用时空动态分析:建筑环境和社会环境的影响

Multimodal Transportation Pub Date : 2022-12-01 DOI: 10.1016/j.multra.2022.100037

Ahmad Ilderim Tokey, Shefa Arabia Shioma, Shaila Jamal

引用次数: 9

“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”:从预测到规范分析的全局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: 9

Road condition monitoring using unsupervised learning based bus trajectory processing 基于无监督学习的公交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 , Vivek Patel

{"title":"Road condition monitoring using unsupervised learning based bus trajectory processing","authors":"Pruthvish Rajput , Manish Chaturvedi , Vivek Patel","doi":"10.1016/j.multra.2022.100041","DOIUrl":"https://doi.org/10.1016/j.multra.2022.100041","url":null,"abstract":"<div><p>The road infrastructure maintenance is crucial for hassle-free transportation. The proposed work leverages the dense connectivity of public transportation buses for road condition monitoring at a large scale. It uses the buses equipped with GPS and accelerometer as mobile sensors to infer the road surface roughness and the damaged road segments. The vibration features are computed from accelerometer data using the in-bus controller, and trip records are processed offline using a centralized server. The proposal applies the unsupervised learning based Self Organizing Map (SOM) and <span><math><mi>k</mi></math></span>-means clustering algorithms on the GPS location records and vibration features to infer the road condition. The damaged segments and rough patches of the selected region that requires immediate repairment are suggested. This information can be used to prioritize the repairment based on the available time and budget.</p><p>The proposed solution is evaluated using more than 1150 km of trip records collected over four routes of Gujarat state of India. The proposed solution accurately infers the road roughness and identifies the damaged road segments for maintenance. Moreover, the ablation analysis of the proposal is carried out to evaluate the utility of combined execution of SOM and <span><math><mi>k</mi></math></span>-means algorithms. Further, the feasibility of proposal for a large scale deployment is assessed. The analysis shows that the proposed system is scalable and can process the daily transit data of a metro-city (e.g. 540 buses of the Ahmedabad Municipal Transport Service) using the in-bus controllers and a server.</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/S2772586322000417/pdfft?md5=f27398d45a70f91d21fcc59852217083&pid=1-s2.0-S2772586322000417-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72112353","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: 12