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Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data
[article]
2021
pre-print
Preserved Fulltext
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
https://github.com/pwr-inf/Transfer-learning-approach-to-bicycle-sharingsystems-station-location-planning-using-OpenStreetMap ...
doi:10.1145/3486626.3493434
arXiv:2111.00990v1
fatcat:guksnpdhprex7lsefjgqyj4vxq
Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data
[article]
2021
arXiv
pre-print
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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]
2015
arXiv
pre-print
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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 (http://www.openstreetmap.org/) 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
2021
Transportation Research Part D: Transport and Environment
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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 (https://www.microm.de/) for providing the Sinus-Geo-Milieus data. ...
doi:10.1016/j.trd.2021.102914
fatcat:j6nkwyu54zhotdkhasycs6mlou
Multimodal urban mobility and multilayer transport networks
[article]
2021
arXiv
pre-print
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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
2016
Research in Transportation Economics
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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
2019
IEEE transactions on multimedia
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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
2020
European Journal of Business Management and Research
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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]
2013
Lecture Notes in Geoinformation and Cartography
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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
2016
IEEE transactions on intelligent transportation systems (Print)
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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
DETERMINATION OF PARKING SPACE AND ITS CONCURRENT USAGE OVER TIME USING SEMANTICALLY SEGMENTED MOBILE MAPPING DATA
2021
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2018
The International Journal on Advances in ICT for Emerging Regions
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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
2020
Sensors
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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
2019
Scientific Reports
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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
2021
Sustainability
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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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