Safety-aware routing for motorised tourists based on open data and VGI

Keler, Andreas; Mazimpaka, Jean Damascène

doi:10.1080/17489725.2016.1170216

Cited by 32 publications

(20 citation statements)

References 42 publications

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“…Calls to, for example, use data capturing perceived safety in routing (such as emotions derived from social media), may reinforce or even generate inequalities in our understanding and use of place (c.f. Andreas and Mazimpaka 2016). This adds weight to Shelton et al's caution to not simply analyse social media, but rather 'construct empirically grounded counter-narratives of these inequalities' (Shelton, Poorthuis, and Zook 2015, 210).…”

Section: Place Dimensionsmentioning

confidence: 99%

Approaching location-based services from a place-based perspective: from data to services?

Bahrehdar

Chesnokova

Purves

2019

Journal of Location Based Services

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Despite the seemingly obvious importance of a link between notions of place and the provision of context in locationbased services (LBS), truly place-based LBS remain rare. Place is attractive as a concept for designing services as it focuses on ways in which people, rather than machines, represent and talk about places. We review papers which have extracted place-relevant information from a variety of sources, examining their rationales, the data sources used, the characteristics of the data under study and the ways in which place is represented. Although the data sources used are subject to a wide range of biases, we find that existing methods and data sources are capable of extracting a wide range of place-related information. We suggest categories of LBS which could profit from such information, for example, by using place-related natural language (e.g. vernacular placenames) in tracking and routing services and moving the focus from geometry to place semantics in location-based retrieval. A key future challenge will be to integrate data derived from multiple sources if we are to advance from individual case studies focusing on a single aspect of place to services which can deal with multiple aspects of place.

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Section: Place Dimensionsmentioning

confidence: 99%

Approaching location-based services from a place-based perspective: from data to services?

Bahrehdar

Chesnokova

Purves

2019

Journal of Location Based Services

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“…Isso se refere a possibilidade de outros fatores acarretarem em um descontentamento por parte de um motorista em uma dada via. Sendo assim, dados sobre a poluição do local [Quercia et al 2015], sentimento de indivíduos [Quercia et al 2014], [Santos et al 2018b], segurança [Shah et al 2011, Kim et al 2014, Keler and Mazimpaka 2016, Galbrun et al 2016, Utamima and Djunaidy 2017, Johnson et al 2017, Taha 2017, de Souza et al 2018, Santos et al 2018a, entre outros, possuem relevância nesse cenário. Como o foco do trabalhoé na seleção de rotas seguras, apenas serão explorados mais afundo os trabalhos que tratam do mesmo cenário.…”

Section: Trabalhos Relacionadośunclassified

“…Nesse trabalho, a escolha dos parâmetros foi feita utilizando uma análise exploratória dos clusters variando a distância mínima entre os registros ε e a densidade υ. Para uma mesma quantidade de crimes, utilizando uma visualização da dispersão em um mapa, foram identificados os parâmetros ε, 500 metros e υ, 3 vizinhos. Os mesmos valores foram encontrados por [Keler and Mazimpaka 2016] para um algoritmo similar ao DBScan, chamado OPTICS. Além disso,é feita a filtragem dos clusters, de acordo com uma quantidade mínima de crimes em cada cluster, para identificar as regiões mais afetadas pela criminalidade.…”

Section: Figura 1 Fluxo Da Execução Do Serviç Ounclassified

Serviço de Sugestão de Rotas Seguras para Veículos

Ladeira

Souza

Pereira³

et al. 2019

Anais Do XXXVII Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC 2019)

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Considerando o crescente número de veículos nas cidades, aplicações capazes de informar a situação do tráfego nas vias se tornam mais utilizadas. Essas aplicações tem o objetivo de sugerir rotas, considerando congestionamentos e acidentes, identificados através de sensoriamento participativo. No entanto, existem outros problemas encontrados durante um percurso que afetam diretamente o usuário, como por exemplo, a criminalidade em uma determinada região. As regiões afetadas por uma alta incidência criminal podem evoluir durante o dia, dependendo do tipo do crime e da densidade de pessoas em uma determinada região. Portanto, esse trabalho tem o objetivo de propor um serviço capaz de identificar áreas com alta incidência criminal, levando em consideração a evolução do cenário, e sugerir rotas seguras que evitam essas regiões. A solução proposta permite obter uma rota mais segura sem comprometer o tempo do percurso, além disso, os resultados encontrados proporcionam verificar a capacidade de evitar regiões perigosas, tornando mais seguro o percurso de um condutor.

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“…Some CSD can be considered as a subset of VGI when user location is considered, as CSD often has limited location information compared to VGI [2]. This form of new data has gained increased attention due to its potential utilization in many applications such as in routing and navigation domains [3][4][5] and in disaster management [6][7][8]. The information currency and availability of CSD is high; however, its quality, including its reliability (credibility) and usability (relevance), is still unclear [9].…”

Section: Introductionmentioning

confidence: 99%

Relevance Assessment of Crowdsourced Data (CSD) Using Semantics and Geographic Information Retrieval (GIR) Techniques

Koswatte

McDougall

Liu

2018

IJGI

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Crowdsourced data (CSD) generated by citizens is becoming more popular as its potential utilization in many applications increases due to its currency and availability. However, the quality of CSD, including its relevance, is often questioned as the data is not generated by professionals nor follows standard data-collection procedures. The quality of CSD can be assessed according to a range of characteristics including its relevance. In this paper, information relevance has been explored through using geographic information retrieval (GIR) techniques to identify the most highly relevant information from a set of crowdsourced data. This research tested a relevance assessment approach for CSD by adapting relevance assessment techniques available in the GIR domain. Thematic and geographic relevance were assessed by analyzing the frequency of selected terms which appeared in CSD reports using natural language processing techniques. The study analyzed crowdsourced reports from the 2011 Australian flood's Crowdmap to examine a proof of concept on relevance assessment using a subset of this dataset based on a defined set of queries. The results determined that the thematic and geographic specificities of the queries were 0.44 and 0.67, respectively, which indicated the queries used were more geographically specific than thematically specific. The Spearman's rho value of 0.62 indicated that the final ranked relevance lists showed reasonable agreement with a manually classified list and confirmed the potential of the approach for CSD relevance assessment. In particular, this research has contributed to the field of CSD relevance assessment through an integrated thematic and geographic relevance ranking process by using a user-query specificity approach to improve the final ranking.

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Safety-aware routing for motorised tourists based on open data and VGI

Cited by 32 publications

References 42 publications

Approaching location-based services from a place-based perspective: from data to services?

Approaching location-based services from a place-based perspective: from data to services?

Serviço de Sugestão de Rotas Seguras para Veículos

Relevance Assessment of Crowdsourced Data (CSD) Using Semantics and Geographic Information Retrieval (GIR) Techniques

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