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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
Public transport agencies use social media as an essential tool for communicating mobility incidents to passengers.  ...  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.  ...  They show that public transport agencies are extremely interested in measuring their social media success: more than half of public transport agencies currently measure social media outcomes through a  ... 
arXiv:2110.05573v1 fatcat:5y2otvwzi5cpzc7lgr3yjy5hua

Mining and correlating traffic events from human sensor observations with official transport data using self-organizing-maps

Enrico Steiger, Bernd Resch, João Porto de Albuquerque, Alexander Zipf
2016 Transportation Research Part C: Emerging Technologies  
Furthermore, we also thank Transport for London for providing free available real time transportation data licensed under the Open Government License v.2.0.  ...  Acknowledgements This research has been funded through the graduate scholarship program "Crowdanalyserspatiotemporal analysis of user-generated content", supported by the state of Baden Wurttemberg.  ...  Therefore traffic related tweets are also of value for the real-time traffic detection of events, since these observations are reflected earlier in social media than within the official traffic data reports  ... 
doi:10.1016/j.trc.2016.10.010 fatcat:yhtj66tqozhxdil3hq62n34tlq

Mining Public Opinion on Transportation Systems Based on Social Media Data

Dawei Li, Yujia Zhang, Cheng Li
2019 Sustainability  
public participation in public transport with social media big data.  ...  This paper focuses on text analysis using large data with temporal and spatial attributes of social network platform.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su11154016 fatcat:xk34cgqahrfldaciclnirvy7d4

Empowering Real-Time Traffic Reporting Systems With NLP-Processed Social Media Data

Xiangpeng Wan, Michael C. Lucic, Hakim Ghazzai, Yehia Massoud
2020 IEEE Open Journal of Intelligent Transportation Systems  
Despite their abundance, the use of social media data in ITS has gained more and more attention as of now.  ...  In this paper, we develop an automated Natural Language Processing (NLP)-based framework to empower and complement traffic reporting solutions by text mining social media, extracting desired information  ...  The second approach is more elaborate and aims to divide the social media data into multiple corpuses, e.g., based on the ITS applications such as public transportation and traffic incident reports.  ... 
doi:10.1109/ojits.2020.3024245 fatcat:ozfckwdpurc7xb4csch532ntjy

Utilising Location Based Social Media in Travel Survey Methods

Alireza Abbasi, Taha Hossein Rashidi, Mojtaba Maghrebi, S. Travis Waller
2015 Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-Based Social Networks - LBSN'15  
As a result, the capacity of Twitter data in complementing other sources of transport related data such as household travel surveys or traffic count data is examined.  ...  A growing body of literature has been devoted to harnessing the crowdsourcing power of social media by extracting knowledge from the huge amounts of information available online.  ...  Using Social Media for Travel Detection and Analysis In the literature there are a few studies that have focused on applications of social media and social network services in transportation.  ... 
doi:10.1145/2830657.2830660 dblp:conf/gis/AbbasiRMW15 fatcat:llinf2wygfh7tlydtacc3hjkxq

Use of social media for assessing sustainable urban mobility indicators

Alexandros Sdoukopoulos, Anastasia Nikolaidou, Magda Pitsiava-Latinopoulou, Panagiotis Papaioannou
2018 International Journal of Sustainable Development and Planning  
Such networks are therefore an important potential tool for the promotion of research in the transport sector, as the amount of data generated in their context gives the possibility to analyse and investigate  ...  In recent years, a solution toward this problem is attempted to be given through the adoption of new technologies and approaches, such as the collection and export of 'big data' from social networks such  ...  ACKNOWLEDGEMENTS The current paper is based on the research conducted in the framework of two research projects funded by the programme "RESEARCH PROJECTS FOR EXCELLENCE IKY/SIEMENS".  ... 
doi:10.2495/sdp-v13-n2-338-348 fatcat:ekiesznmgbe5lglq7uq6quqg3q

Using Adverse Weather Data in Social Media to Assist with City-Level Traffic Situation Awareness and Alerting

Hao Lu, Yifan Zhu, Kaize Shi, Yisheng Lv, Pengfei Shi, Zhendong Niu
2018 Applied Sciences  
Specifically, we first collect adverse weather topics and reports of traffic incidents from social media.  ...  In this paper, we leverage the power of crowdsourcing knowledge in social media and propose a novel way to forecast and generate alerts for city-level traffic incidents based on a social approach rather  ...  Conflicts of Interest: The authors declare no conflicts of interest. Appl. Sci. 2018, 8, 1193  ... 
doi:10.3390/app8071193 fatcat:yceazczwk5dxbgfexejcy7cb4a

Spatiotemporal Frameworks for Infectious Disease Diffusion and Epidemiology

Peter Congdon
2016 International Journal of Environmental Research and Public Health  
Data mining applied to internet search and social media data is being increasingly applied [16] .  ...  Historical time-series modelling of cryptosporidiosis incidence with rainfall has reported positive associations in a global meta-analysis of cryptosporidiosis seasonality [40] . Padilla et al.  ... 
doi:10.3390/ijerph13121261 pmid:27999420 pmcid:PMC5201402 fatcat:emy7z4cr5fhp5akzpmwrymtuky

Extraction Method and Integration Framework for Perception Features of Public Opinion in Transportation

Shaojie Liu, Jing Teng, Yue Gong
2020 Sustainability  
Furthermore, it is important for stakeholders to grasp the public perception of transportation services, in order to enhance public participation in transportation management and decision-making.  ...  Finally, a case study of Shenzhen public transport has been performed to illustrate the application of proposed methods.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su13010254 fatcat:r34sydfy5rbr5boc4g7v56tltm

The Value of Marine Spatial Open Data Infrastructures—Potentials of IHO S-100 Standard tο Become the Universal Marine Data Model

Stilianos Contarinis, Athanasios Pallikaris, Byron Nakos
2020 Journal of Marine Science and Engineering  
The recent European directive on open data and the re-use of public sector information, known as the "Open Data Directive" is a key driver towards the establishment of "open" MSDIs among other spatial  ...  The paper discusses possible data architectures for the MSDIs, examines the maturity of open data platforms that they could be built upon and compares the most prominent marine spatial data models for  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jmse8080564 fatcat:zxzavz6sxjhqvmkqahkwnx4fne

Automating a framework to extract and analyse transport related social media content: The potential and the challenges

Tsvi Kuflik, Einat Minkov, Silvio Nocera, Susan Grant-Muller, Ayelet Gal-Tzur, Itay Shoor
2017 Transportation Research Part C: Emerging Technologies  
The initial phase in the program of research reported here proposed a framework for mining transport-related information from social media , demonstrated and evaluated it using transport-related tweets  ...  Abstract Harnessing the potential of new generation transport data and increasing public participation are high on the agenda for transport stakeholders and the broader community.  ...  Acknowledgements This paper also draws on work conducted by Ebithal Sheety (Technion) and Frances Hodgson (University of Leeds).  ... 
doi:10.1016/j.trc.2017.02.003 fatcat:vovlrmfmbbhd3cjvt3xdcvsghe

Detection of Damage and Failure Events of Road Infrastructure Using Social Media [chapter]

Aibek Musaev, Zhe Jiang, Steven Jones, Pezhman Sheinidashtegol, Mirbek Dzhumaliev
2018 Lecture Notes in Computer Science  
In addition, we identify the peak of public activity during the evaluation period and investigate the key drivers of that peak.  ...  Instead, we propose to use social sensor big data to detect and estimate these issues based on the public's activity. As a demonstration, we generate a map of detected road problems based on tweets.  ...  We describe each of these steps in detail next. Data Collection Numerous researchers have collected Social Media as a source for real time data on traffic incidents and crashes, e.g., [6, 14] .  ... 
doi:10.1007/978-3-319-94289-6_9 fatcat:osei76hafvfkbhcxr2illmln7a

Applications of GIS and geospatial analyses in COVID-19 research: A systematic review

Rakibul Ahasan, Md. Shaharier Alam, Torit Chakraborty, Md. Mahbub Hossain
2020 F1000Research  
, computer-aided modeling, and data mining.  ...  We grouped the identified papers under six broader thematic groups based on the objectives and research questions of the study- environmental, socio-economic, and cultural, public health, spatial transmission  ...  Data mining and COVID-19 We grouped the application of big data, social media data mining, and contact tracing through geospatial technologies together.  ... 
doi:10.12688/f1000research.27544.1 pmid:35186280 pmcid:PMC8822139 fatcat:uxueogbp5jexhbrjqkqsejdviq

Urban resilience from the lens of social media data: Responses to urban flooding in Nanjing, China

Bo Wang, Becky P.Y. Loo, Feng Zhen, Guangliang Xi
2020 Cities  
A B S T R A C T Applying a novel approach based on the fusion of social media data, land use data and other information, this paper examines the spatio-temporal patterns of public responses towards urban  ...  Spatially, "pockets" of high public concern towards urban flooding were found in areas with low altitude, high percentage of water bodies, and rapid urban construction in recent years.  ...  Fig. 2 demonstrates the ways that this study incorporates social media data with other data in studying public responses towards urban flooding.  ... 
doi:10.1016/j.cities.2020.102884 fatcat:hq4xpiiubfcovocod3mnpvs5aq

Sources and Applications of Emerging Active Travel Data: A Review of the Literature

Mohammad Anwar Alattar, Caitlin Cottrill, Mark Beecroft
2021 Sustainability  
, imagery, bike sharing systems, social media, and other types.  ...  In this paper we review relevant research on AT outcomes to address the potential of AT and emerging data sources in supporting the transport paradigm shift toward AT.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su13137006 fatcat:bu2q5ecthvfapgnpdfaql23xoa
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