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A Visual Analytics Approach to Scheduling Customized Shuttle Buses via Perceiving Passengers' Travel Demands [article]

Qiangqiang Liu, Quan Li, Chunfeng Tang, Huanbin Lin, Xiaojuan Ma, Tianjian Chen
2020 arXiv   pre-print
We propose a visual analytics approach to facilitating assessment of actual, varying travel demands and planning of night customized shuttle systems.  ...  Shuttle buses have been a popular means to move commuters sharing similar origins and destinations during periods of high travel demand.  ...  Vehicle Routing Problem is intensively studied in urban planning and transportation field [5] .  ... 
arXiv:2009.02538v1 fatcat:ycnthrfukvgmriyzmyw4673c7u


Guanxiong Liu, Yanhua Li, Zhi-Li Zhang, Jun Luo, Fan Zhang
2017 Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL'17  
Rapid urbanization has posed significant burden on urban transportation infrastructures.  ...  CCS CONCEPTS •Information systems Geographic information systems; Computing platforms; KEYWORDS Hub-and-spoke Network, urban computing, spatio-temporal data analytics ACM Reference format:  ...  routes to minimize the average travel time. • We conduct experiments on real trajectory data of taxi, bus and subway collected during March 2014 in Shenzhen, China.  ... 
doi:10.1145/3139958.3139995 dblp:conf/gis/LiuLZLZ17 fatcat:2absgmq2vnfmzfs6nijt6eh6wu

Emerging Technologies for Smart Cities' Transportation: Geo-Information, Data Analytics and Machine Learning Approaches

Kenneth Li-Minn Ang, Jasmine Kah Phooi Seng, Ericmoore Ngharamike, Gerald K. Ijemaru
2022 ISPRS International Journal of Geo-Information  
The paper contains core discussions on the impacts of geo-information on SC transportation, data-driven transportation and big data technology, machine learning approaches for SC transportation, innovative  ...  The paper gives a comprehensive review and discussion with a focus on emerging technologies from several information and data-driven perspectives including (1) geoinformation approaches; (2) data analytics  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi11020085 fatcat:bjkv6cu7zbfqbl7q7ezfhai5ya

Understanding Transit Ridership Growth: Case Studies of Successful Transit Systems in the 1990s

Allison Yoh, Peter Haas, Brian Taylor
2003 Transportation Research Record  
To meet growing demand, NYCT has been expanding service since 1997, adding new capacity on 90 percent of its subway lines and 96 percent of its bus routes.  ...  For example, riders can board the Green Bus in Queens and transfer to a subway route for $1.50 --half of what it would have cost before the change to a unified one-fare system.  ...  ACKNOWLEDGEMENT The Mineta Transportation Institute funded this research, and the authors are grateful for the support.  ... 
doi:10.3141/1835-14 fatcat:3txkr52wu5fmtakklc42f7jrzu

What Factors Contribute to Higher Travel Happiness? Evidence from Beijing, China

Aihua Fan, Xumei Chen, Xiaomei Zhang, Haneen Farah
2021 Journal of Advanced Transportation  
For those trips traveling by motor vehicles, company shuttle bus trips have the highest travel happiness ratings, followed by automobile trips and public transport trips.  ...  This study uses web-based survey data collected in Beijing, China, and applies multiple regression analysis to examine impacts of sociodemographic attributes, travel characteristics, residential environment  ...  Based on smartphone-based data in Minneapolis, US, Fan et al. [26] found that trip companion had significant impact on travel happiness.  ... 
doi:10.1155/2021/8861841 fatcat:lknjd2bn5vgwlahi7tjyz2aw44

Profiling underprivileged residents with mid-term public transit smartcard data of Beijing [article]

Ying Long, Xingjian Liu, Jiangping Zhou, Yizhen Gu
2014 arXiv   pre-print
To the best of our knowledge, this is one of the first studies for understanding long- or mid-term urban dynamics using immediate "big data", and also for profiling underprivileged residents in Beijing  ...  We regard these frequent bus/metro riders (FRs) in China, especially in Beijing, as economically underprivileged residents.  ...  Bus trips accounts for a significant share of all the trips by public transit (subway, bus and company shuttle).  ... 
arXiv:1409.5839v1 fatcat:zgzldaid55e65ovlul4zxurnpi

Redesign of Curricula in Transit Systems Planning to Meet Data-Driven Challenges

Adrian Lorion, Matthew J. Harvey, Joseph Y. J. Chow
2015 Journal of professional issues in engineering education and practice  
Information Communication Technologies and data ubiquity represent great potential advances in transport systems; however, the challenge of transferring the knowledge from research and academia remains  ...  A case study of a sample teaching module for transit systems planning in the Greater Toronto Area is presented with guidelines to teach 1) models of data-driven flexible transit services; 2) technologies  ...  routes; Toronto Transit Commission (TTC) local transit: bus, streetcar, and subway routes; and user origin-destination (OD) trip data.  ... 
doi:10.1061/(asce)ei.1943-5541.0000223 fatcat:isvubegxv5cifhv6yulkcjctou

Combining smart card data and household travel survey to analyze jobs-housing relationships in Beijing [article]

Ying Long, Jean-Claude Thill
2013 arXiv   pre-print
Our experiment, as a first step toward enriching LBS data using conventional survey and urban GIS data, can obtain solid identification results based on rules extracted from existing surveys or censuses  ...  routes in Beijing.  ...  The online version of this manuscript includes a sample of bus smart card data for Beijing we released.  ... 
arXiv:1309.5993v1 fatcat:zhpri6h6bjhh3gdco6izj4auy4

Strategic Look at Friday Exceptions in Weekday Schedules for Urban Transit

Alex Lu, Alla Reddy
2012 Transportation Research Record  
Available savings were route-specific, with 25% service reductions possible on some, whereas 25% service fortification was required on others with higher Friday ridership.  ...  Analysis by route/time-period for 14 representative routes over ten months show 4.7% lower ridership on Fridays, potentially allowing 7.4% reductions in vehicle-hours operated.  ...  comments; Employees of the Long Island Rail Road, and Melissa Chow for research assistance; Peter Cafiero for securing approvals, and Mohammed Maula, Victor Bashmakov, and Santosh Kumar for supplying data  ... 
doi:10.3141/2274-04 fatcat:laqxtlyhi5drxp2ama5f72coca

Evaluating Traffic Operations Performance of Directional Interchange with Semi-Direct Ramp Connections and Loops

Khaled Hamad, Abdulkarim Ismail
2019 Canadian journal of civil engineering (Print)  
References AASHTO, A Policy on Geometric Design of Highways & Streets, 1984, page 1003 and beyond.  ...  Acknowledgements This work is the by-product of an initial query around 1990 by Jon Fricker of Purdue University about automating the data analysis phase of a manual license plate survey.  ...  the coding of bus routes, stops and transfers to and from the subway routes.  ... 
doi:10.1139/cjce-2019-0180 fatcat:jdrrpx3bcbfljirun25fw63uni

Graph theory methods in analysing commuting networks of municipal electric transport

Olexiy Kuz'kin
2016 Eastern-European Journal of Enterprise Technologies  
PPT in these cities is multimodal and represented in its traditional forms -bus (shuttle bus included), trolleybus, and tram.  ...  The number of PPT routes, particularly: 120 114 120 71 111 bus and shuttle bus 99 95 83 51 79 trolleybus 11 9 22 10 11 tram 10 10 15 10 21 4.  ... 
doi:10.15587/1729-4061.2016.66192 fatcat:zhcz3kziivfwjcqhkyq3jflcie

Optimization Method of Customized Shuttle Bus Lines under Random Condition

Zhichao Sun, Kang Zhou, Xinzheng Yang, Xiao Peng, Rui Song
2021 Algorithms  
The K-means clustering analysis is used to classify the passengers' needs based on the analysis of the passenger travel demand of the customized shuttle bus, and the time stochastic uncertainty under the  ...  operating environment of the customized shuttle bus line is fully considered.  ...  Based on big data analytics, we adopt the K-means clustering analysis to classify passengers [24] .  ... 
doi:10.3390/a14020052 fatcat:h6erkzgnfjgzpmew5cz2aswx2y

Impact of High-Speed Lines in Relation to Very High Frequency Air Services

Andrés López-Pita, Francesc Robusté
2005 Journal of Public Transportation  
Kinjal Parikh, Sachin Parekh, Julius Maura, Carla Bauer, and Brett Ripkin provided valuable research assistance on the project.  ...  Minnesota Department of Transportation.  ...  It is also worth noting that this is based on 1990 data.  ... 
doi:10.5038/2375-0901.8.2.2 fatcat:nljzzry5dfccpicia3yitj6ljm

A Study of Ride-Sharing Opportunities in the City of Santiago de Chile [chapter]

Emanuele Massaro
2020 Sustainability Assessment of Urban Systems  
For Deloitte's insights on the Future of Mobility, visit  ...  As the name suggests, it is a bus-based transport system, but these are no regular city buses weaving in and out of traffic on busy city streets, making stops every few blocks.  ...  (in km) • Metro/subway average peak frequency (in minutes) • Dedicated bus lane (in km) • Average waiting time for public transportation (in minutes) Transport affordability • Monthly public transport  ... 
doi:10.1017/9781108574334.022 fatcat:woaihaknnrg73lgsiorrmj2sje

Bicycling and Transit: A Marriage Unrealized

Kevin J. Krizek, Eric W. Stonebraker
2010 Transportation Research Record  
One issue that traverses most modes of transit (i.e., city bus, regional bus, subway, light rail) is capacity limitations; that is an issue that does not appear to be successfully or comprehensively addressed  ...  Sharing a bicycle, which would be based primarily at the transit access point; 4. Using an owner's bicycle at the egress location; and 5.  ...  ACKNOWLEDGMENTS This research is funded in part by financial support enabled by the Mineta Transportation Institute.  ... 
doi:10.3141/2144-18 fatcat:ewci4cftmnbgngyp7k3vrzftai
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