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Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data [article]

Kamil Raczycki, Piotr Szymański
2021 pre-print
grid system and to indicate regions where it is worth placing a station based on existing systems in different cities using transfer learning.  ...  However, planning the layout of bicycle-sharing stations usually requires expensive data gathering, surveying travel behavior and trip modelling followed by station layout optimization.  ...  0.625 20 0.825 0.664 0.722 0.622 21 0.824 0.666 0.714 0.631 22 0.828 0.671 0.726 0.630 23 0.825 0.668 0.718 0.630 24 0.826 0.666 0.722 0.625 25 0.826 0.669 0.720 0.631  ... 
doi:10.1145/3486626.3493434 arXiv:2111.00990v1 fatcat:guksnpdhprex7lsefjgqyj4vxq

Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data [article]

Kamil Raczycki
2021 arXiv   pre-print
grid system and to indicate regions where it is worth placing a station based on existing systems in different cities using transfer learning.  ...  Planning the layout of bicycle-sharing stations is a complex process, especially in cities where bicycle sharing systems are just being implemented.  ...  grid system and to indicate regions where it is worth placing a station based on existing systems in different cities using transfer learning.  ... 
arXiv:2111.01722v1 fatcat:n6cbplwbsncdfjsrx4awchokry

Design and Management of Vehicle Sharing Systems: A Survey of Algorithmic Approaches [article]

Damianos Gavalas, Charalampos Konstantopoulos, Grammati Pantziou
2015 arXiv   pre-print
The chapter covers all planning aspects that affect the effectiveness and viability of vehicle sharing systems: the actual system design (e.g. number and location of vehicle station facilities, vehicle  ...  Our focus is on one-way vehicle sharing systems (wherein customers are allowed to pick-up a vehicle at any location and return it to any other station) which best suits typical urban journey requirements  ...  It can use OpenStreetMap ( or commercial data sources for data on sidewalks, bicycling infrastructure and streets.  ... 
arXiv:1510.01158v1 fatcat:qx62cmfv4zbxziuzbc6cltda3a

Demand And/oR Equity (DARE) method for planning bike-sharing

David Duran-Rodas, Benjamin Wright, Francisco C. Pereira, Gebhard Wulfhorst
2021 Transportation Research Part D: Transport and Environment  
A B S T R A C T Most bike-sharing systems in cities aim to maximize demand, an approach that tends to inadvertently favor wealthier neighborhoods.  ...  Therefore, we developed a heuristic and data-miningbased method to weigh both Demand And/oR Equity (DARE) in the station distribution and allocation process of planning bike-sharing.  ...  The authors also are thankful to the marketing company Microm ( for providing the Sinus-Geo-Milieus data.  ... 
doi:10.1016/j.trd.2021.102914 fatcat:j6nkwyu54zhotdkhasycs6mlou

Multimodal urban mobility and multilayer transport networks [article]

Luis Guillermo Natera Orozco, Laura Alessandretti, Meead Saberi, Michael Szell, Federico Battiston
2021 arXiv   pre-print
Using a network science approach, multimodal transport systems can be described as multilayer networks, where the networks associated to different transport modes are not considered in isolation, but as  ...  systems using different transport modes.  ...  A first critical issue relates to the modelling of shared mobility services, such as shared bicycles and vehicles (Shaheen and Chan, 2016) .  ... 
arXiv:2111.02152v1 fatcat:lyaadwd4afb4bcy4x3mcekh5aq

Workshop 5 report: Harnessing big data

Gabriel E. Sánchez-Martínez, Marcela Munizaga
2016 Research in Transportation Economics  
The key conclusion of the workshop is that, although much progress has been made in utilizing big data to improve transportation planning and operations, much remains to be done, both in terms of developing  ...  further analysis tools and use cases of big data, and of disseminating best practices so that they are adopted across the industry.  ...  Many passengers are willing to share their data when they understand it is being used for research and to improve planning.  ... 
doi:10.1016/j.retrec.2016.10.008 fatcat:452azve7t5cydbgl3ueraksr3e

Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images

Yi Zhu, Xueqing Deng, Shawn Newsam
2019 IEEE transactions on multimedia  
The goal of this paper is to better understand location.  ...  the image data.  ...  We use Instagram as this other source. This will allow us to observe the robustness of our method and its transfer learning capability.  ... 
doi:10.1109/tmm.2019.2891999 fatcat:dowpubfuevebtp45ixxlv226tu

Investigating Warehousing Operations from an Integrated Supply-Chain and Transportation Approach

Sushant Siddharth Wanjari
2020 European Journal of Business Management and Research  
Future directions point towards the use of big data and the implementation of econometric concepts (i.e. choice models), together with a spatial understanding of the impact of warehousing locations (i.e  ...  E-commerce, big data, and autonomous driving are the future challenges to integrating these two systems of warehousing and transportation.  ...  For example, the use of GPS data, big data, location apps, and any other source of location sharing to accurately represent the movements.  ... 
doi:10.24018/ejbmr.2020.5.5.527 fatcat:khqabhzsm5bhbgwb7slmah3g6e

Many to Many Mobile Maps [chapter]

Stephen C. Hirtle, Martin Raubal
2013 Lecture Notes in Geoinformation and Cartography  
The evolution from stand-alone desktop GIS to the interactive, mobile devices, in which information from one or more sources and is sent to one or more sinks, is discussed.  ...  The result is access to real-time information, which is generated from both traditional sources, social networks, and other specialized geowikis.  ...  Schlieder and Matyas (2009) describe the approach as one of collaborative semantics, where the shared locations and terminology can be used to describe the structure of the city.  ... 
doi:10.1007/978-3-642-34359-9_8 fatcat:4vqnzvsthnaatoyaxf2zx7udji

Big Data for Social Transportation

Xinhu Zheng, Wei Chen, Pu Wang, Dayong Shen, Songhang Chen, Xiao Wang, Qingpeng Zhang, Liuqing Yang
2016 IEEE transactions on intelligent transportation systems (Print)  
Big data for social transportation brings us unprecedented opportunities for resolving transportation problems that traditional approaches are not competent and building the next generation intelligent  ...  Third, social data is connected to cyber-and physical-spaces.  ...  (a) Routing adjustments changes a direct path to a path with one transfer. (b) Routing adjustments changes the transfer stations.  ... 
doi:10.1109/tits.2015.2480157 fatcat:craqsybwyvbi3a5zhas2nqraaa


A. Leichter, U. Feuerhake, M. Sester
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
For the car extraction we utilize a label transfer technique for transfers from semantically segmented 2D RGB images to 3D point cloud data.  ...  This semantically segmented 3D data allows us to identify car instances. Subsequently, we aggregate and analyze information about parking cars.  ...  As we only focus on cars in this work, our approach can be extended to also consider other object types like pedestrians or bicycles, which share the available MPS.  ... 
doi:10.5194/isprs-archives-xliii-b2-2021-185-2021 fatcat:w2ckxddw7fglvj6mwcblzziy24

Equipoising multi-modal traffic environments using vehicular ad-hoc networks

S. T. Rakkesh, A. R. Weerasinghe, R. A. C. Ranasinghe
2018 The International Journal on Advances in ICT for Emerging Regions  
Vehicular adhoc networks (VANETs) are a special type of mobile ad-hoc networks (MANETs) which can be used to define intelligent conciliator interfaces for vehicle to vehicle (V2V) or vehicle to infrastructure  ...  For this research, we have used OMNeT++ network simulator to simulate the mobile network involved and SUMO microscopic traffic simulator to simulate vehicular movements in parallel and Veins framework  ...  VANETs primarily focus on defining communication topologies for vehicle to vehicle (V2V) [9] data transfer and vehicle to infrastructure (V2I) [10] communication technologies.  ... 
doi:10.4038/icter.v10i2.7185 fatcat:bkt4zhnfjzaldd5gumd6pzh7lu

Soft Sensor with Deep Learning for Functional Region Detection in Urban Environments

Yicao Ma, Shifeng Liu, Gang Xue, Daqing Gong
2020 Sensors  
In this paper, these data are combined to and used to analyze each subway station, considering the diversity of data, and obtain a passenger flow feature map of different stations, the number of different  ...  This paper not only uses SCD and POI data, but also adds Online to Offline (OTO) e-commerce platform data, an application that provides customers with information about different businesses, like the location  ...  [46] developed an identification of land-use characteristics using bicycle sharing data.  ... 
doi:10.3390/s20123348 pmid:32545653 fatcat:5ijfyxp3nbeu5e4bb4qe25rg54

Using road class as a replacement for predicted motorized traffic flow in spatial network models of cycling

Eric Yin Cheung Chan, Crispin H. V. Cooper
2019 Scientific Reports  
Simulating bicycle mode share and flows can help decide where to build new infrastructure for maximum impact, though modelling budgets are limited.  ...  Alternative approaches are based on aggregate statistics or spatial network analysis, the latter being necessary to create a model sufficiently sensitive to infrastructure location, although still requiring  ...  Acknowledgements Network data copyright OpenStreetMap contributors. Ordnance Survey data (Crown copyright and database right 2013) used for terrain model.  ... 
doi:10.1038/s41598-019-55669-8 pmid:31873078 pmcid:PMC6928227 fatcat:wjruaoo5mrfirbovrpe652tom4

The Implementation of the Smart City Process—Researchers' Knowledge in Detecting Transport System Defects

Roman Dostál, Josef Kocourek, Aneta Matysková, Karolína Moudrá, Vojtěch Nižňanský
2021 Sustainability  
While challenging, this paper finds distanced knowledge transfer and planning to be achievable.  ...  Although the Republic of Moldova has experienced massive increase in vehicle ownership and use, some of the latest advances in how to approach and nurture public space are underutilized.  ...  In this case, the most prominent and useful data source was OpenStreetMap data available in GIS (Geographic Information System) formats and applications.  ... 
doi:10.3390/su13063296 fatcat:2ohgewccmvdvvmrm3dbiymiira
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