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Mitigating Bias in Big Data for Transportation

Greg P. Griffin, Megan Mulhall, Chris Simek, William W. Riggs
2020 Journal of Big Data Analytics in Transportation  
However, researchers and practitioners recognise that big data from mobile phones, social media, and on-board vehicle systems include biases in representation and accuracy, related to transportation safety  ...  This study examines both the sources of bias and approaches to mitigate them through a review of published studies and interviews with experts.  ...  This project was supported by the Safety through Disruption (Safe-D) National University Transportation Center, a grant from the US Department of Transportation-Office of the Assistant Secretary for Research  ... 
doi:10.1007/s42421-020-00013-0 fatcat:x6npzavlcbcnxamhu7yjd5ybhy

Designing Viable Multi-sided Data Platforms: The Case of Context-Aware Mobile Travel Applications [chapter]

Mark de Reuver, Timber Haaker, Fatemeh Nikayin, Ruud Kosman
2015 Lecture Notes in Computer Science  
We appreciate the contributions by several BSc-students from the course TB232A at Delft University of Technology in collecting data for the user study reported in this paper.  ...  Acknowledgements We are grateful for comments and suggestions from Anthony Jameson. The paper has been developed within the EIT Digital innovation activity 3cixty (14523).  ...  We found support for a typical paradox observed in this domain: the reasons why consumers are willing to use applications are completely different from the reasons why they would be willing to pay.  ... 
doi:10.1007/978-3-319-25013-7_28 fatcat:ryt7jwqpuvfyjfohbubp6yzhni

Location Data, Purpose Binding and Contextual Integrity: What's the Message? [chapter]

Mireille Hildebrandt
2014 Protection of Information and the Right to Privacy - A New Equilibrium?  
This chapter investigates the issue of the proliferation of location data in the light of the ethical concept of contextual integrity and the legal concept of purpose binding.  ...  December 2013. 4 A cybernetic starting point: Location data in Big Data Space The idea that an act of communication can be defined as the exchange of messages takes its clue from Wiener's theory of cybernetics  ...  That is why informational location privacy is a freedom: the freedom from unlawful sharing of 'processed' or networked location data.  ... 
doi:10.1007/978-3-319-05720-0_3 fatcat:4vb4easb7zdq3fadsdsovihsba

Intelligent services for Big Data science

C. Dobre, F. Xhafa
2014 Future generations computer systems  
In this case big data is definitely a phenomenon that has a direct impact on the quality of life for those of us that choose to live in a town or city.  ...  The application is designed to assist users and city officials better understand traffic problems in large cities.  ...  Previously, context was only collected from static sensor networks, where each sensor had a well-defined purpose and the format of the data returned was well-known in advance and could not change, regardless  ... 
doi:10.1016/j.future.2013.07.014 fatcat:4d5wkb5xi5cjjb433dqlpgecpa

Spatial Data Mining of Public Transport Incidents reported in Social Media [article]

Kamil Raczycki, Marcin Szymański, Yahor Yeliseyenka, Piotr Szymański, Tomasz Kajdanowicz
2021 arXiv   pre-print
As a result, the analysis of transport phenomena information is minimal. We collected three years of social media posts of a polish public transport company with user comments.  ...  We show that our approach enables citizen science and use it to analyze the impact of three years of infrastructure incidents on passenger mobility, and the sentiment and reaction scale towards each of  ...  Without an aggregated data set released in an open data fashion, it is crucial to pinpoint where traffic disruption happens in both GIS and mobility network perspectives.  ... 
arXiv:2110.05573v1 fatcat:5y2otvwzi5cpzc7lgr3yjy5hua

Challenges and Issues on Collecting and Analyzing Large Volumes of Network Data Measurements [chapter]

Enrico Masala, Antonio Servetti, Simone Basso, Juan Carlos De Martin
2014 Advances in Intelligent Systems and Computing  
We refer in particular to data collected by means of Neubot, an open source project that uses active probes on the client side to measure the evolution of key network parameters over time to better understand  ...  This paper presents the main challenges and issues faced when collecting and analyzing a large volume of network data measurements.  ...  This will greatly extend the amount of collected data since the availability as an app will increase the chance that the application is installed on mobile devices.  ... 
doi:10.1007/978-3-319-01863-8_23 fatcat:5jxozszuu5enjhfxgvylano2km

Design of data collection techniques and tools

Konstantinos Kamargiannis, Athena Tsirimpa
2021 Zenodo  
The goal of this deliverable is to present the sampling strategy and the data collection techniques and tools that will be used in HARMONY pilot areas to collect the data needed for modelling purposes  ...  The questionnaires for the freight stakeholders in Rotterdam and Oxfordshire are also designed to collect information about their decisions and barriers to adopting new technologies (i.e., AVs and unmanned  ...  Under the app's Settings Data Sync preferences, you may set the app to sync collected data using a mobile data plan only, Wi-Fi only, or both the Wi-Fi and mobile data plan.  ... 
doi:10.5281/zenodo.5744363 fatcat:zaqshtqg3zcepjrrpi2vjmnaoi

Location Privacy in the Era of the Internet of Things and Big Data Analytics

Robert P. Minch
2015 2015 48th Hawaii International Conference on System Sciences  
Location information is generated in large quantities in the Internet of Things and becomes a major component of the big data phenomenon.  ...  This is an author-produced, peer-reviewed version of this article. The final, definitive version of this document can be found online at  ...  Similarly, other fixed devices such as smart thermostats are not necessarily inherently location aware, however if they connect to a Wi-Fi network their location may be inferred from the location of the  ... 
doi:10.1109/hicss.2015.185 dblp:conf/hicss/Minch15 fatcat:bjid4gogazgm5nx4grmrhg7vcu

Big Data for Social Sciences: Measuring patterns of human behavior through large-scale mobile phone data [article]

Pål Sundsøy
2017 arXiv   pre-print
Further, the dissertation demonstrates how mobile phone data can be used to better understand human behaviour during large shocks in society, exemplified by an analysis of data from the terror attack in  ...  Big Data for efficient marketing: Finally, the dissertation offers an insight into how anonymised mobile phone data can be used to map out large social networks, covering millions of people, to understand  ...  Doing research on 'Big Data' applied to social sciences has been my main focus during these years, and the interest in this subject has increased gradually throughout my time at Telenor.  ... 
arXiv:1702.08349v1 fatcat:q73dimeqtvdkbpsjjzwed57zqu

Engineering data-driven solutions for future mobility: perspectives and challenges [article]

Daphne Tuncer, Oytun Babacan, Raoul Guiazon, Halima Abu Ali, Josephine Conway, Sebastian Kern, Ana Teresa Moreno, Max Peel, Arthur Pereira, Nadia Assad, Giulia Franceschini, Margrethe Gjerull (+9 others)
2022 arXiv   pre-print
Digitalisation is expected to play a key role in shaping the future of mobility ecosystems by fostering the integration of traditionally independent system domains in the energy, transportation and information  ...  This report discusses opportunities and challenges for engineering data-driven solutions that support the requirements of future digitalised mobility systems based on three use cases for electric vehicle  ...  potentially be inferred from the collected data.  ... 
arXiv:2203.07789v1 fatcat:z3yyhlcqebab3aygdawixs7zle

Haystack: A Multi-Purpose Mobile Vantage Point in User Space [article]

Abbas Razaghpanah, Narseo Vallina-Rodriguez, Srikanth Sundaresan, Christian Kreibich, Phillipa Gill, Mark Allman, Vern Paxson
2016 arXiv   pre-print
Using data collected from 450 users of the app, we exemplify the advantages of Haystack over the state of the art and demonstrate its seamless experience even under demanding conditions.  ...  design Haystack, an in-situ mobile measurement platform that operates exclusively on the device, providing full access to the device's network traffic and local context without requiring root access.  ...  These apps create 22% of the traffic we observe. Further, we find that 3.7% of the apps in Google Play are not free and 29% of the apps include in-app purchases.  ... 
arXiv:1510.01419v3 fatcat:efbktcastzfwlfbwvh44jibrdi

'We just want to be Heard!' Dataveillance and Location Data – Do South Africans Care?

Sam Usadolo, Bukelwa Mbinda, Itumeleng Matome
2022 African Journal of Inter-Multidisciplinary Studies  
However, because of the numerous advantages digital platforms offer, they are not bothered about the technology companies' use of the data collected without their consent.  ...  People's perceptions of digital communication platforms as related to dataveillance, and location data are examined in order to offer suggestions for increasing regulatory strength on the part of the government  ...  Why would they collect my information for an advert or what do you call it … cold-calling? They are wrong.  ... 
doi:10.51415/ajims.v4i1.981 fatcat:27ixotmhojaytdknepctouvdca

Privacy in Sensor-Driven Human Data Collection: A Guide for Practitioners [article]

Arkadiusz Stopczynski, Riccardo Pietri, Alex Pentland, David Lazer, Sune Lehmann
2014 arXiv   pre-print
We hope the overview of the privacy-related practices in massive data collection studies can be used as a frame of reference for practitioners in the field.  ...  Although focused on data collection in an academic context, we believe that many of the challenges and solutions we identify are also relevant and useful for other domains where massive data collection  ...  In 2008 a Windows Mobile OS [21] app was used to collect data from students and study connections between behavior and health conditions (e.g. obesity), and to measure the spread of opinions.  ... 
arXiv:1403.5299v1 fatcat:4l5pk7l66jcobdmxjb7a3hpdtu

Can we pay for what we get in 3G data access?

Chunyi Peng, Guan-hua Tu, Chi-yu Li, Songwu Lu
2012 Proceedings of the 18th annual international conference on Mobile computing and networking - Mobicom '12  
Data-plan subscribers are charged based on the used traffic volume in 3G/4G cellular networks. This usage-based charging system has been operational and received general success.  ...  Our evaluation compares the network-recorded volume with the delivered traffic at the end device.  ...  Xingyu Ma and other participants in the charging experiments.  ... 
doi:10.1145/2348543.2348560 dblp:conf/mobicom/PengTLL12 fatcat:pbcu77hacze6teccbceso5femi

Analyzing large-scale human mobility data: a survey of machine learning methods and applications

Eran Toch, Boaz Lerner, Eyal Ben-Zion, Irad Ben-Gal
2018 Knowledge and Information Systems  
collect human mobility data and to mine patterns of interest within these data in order to promote the development of location-based services and applications.  ...  We categorize these approaches and models in a taxonomy based on their positioning characteristics, the scale of analysis, the properties of the modeling approach, and the class of applications they can  ...  We would like to thank Omer Barak and Gabriella Cohen for their help in collecting data for the survey.  ... 
doi:10.1007/s10115-018-1186-x fatcat:nesak2c3uzhyvhynd5gv4vmeve
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