Journal of Location Based Services最新文献_第9页

Privacy theory in practice: designing a user interface for managing location privacy on mobile devices 隐私理论在实践中的应用：设计一个用于管理移动设备上位置隐私的用户界面

IF 2.3

Journal of Location Based Services Pub Date : 2018-09-13 DOI: 10.1080/17489725.2018.1511839

Mehrnaz Ataei, Auriol Degbelo, C. Kray

{"title":"Privacy theory in practice: designing a user interface for managing location privacy on mobile devices","authors":"Mehrnaz Ataei, Auriol Degbelo, C. Kray","doi":"10.1080/17489725.2018.1511839","DOIUrl":"https://doi.org/10.1080/17489725.2018.1511839","url":null,"abstract":"ABSTRACT Disclosing the current location of a person can seriously affect their privacy, but many apps request location information to provide location-based services. Simultaneously, these apps provide only crude controls for location privacy settings (sharing all or nothing). There is an ongoing discussion about rights of users regarding their location privacy (e.g. in the context of the General Data Protection Regulation – GDPR). GDPR requires data collectors to notify users about data collection and to provide them with opt-out options. To address these requirements, we propose a set of user interface (UI) controls for fine-grained management of location privacy settings based on privacy theory (Westin), privacy by design principles and general UI design principles. The UI notifies users about the state of location data sharing and provides controls for adjusting location sharing preferences. It addresses three key issues: whom to share location with, when to share it, and where to share it. Results of a user study (N=23) indicate that (1) the proposed interface led to a greater sense of control, that (2) it was usable and well received, and that (3) participants were keen on using it in real life. Our findings can inform the development of interfaces to manage location privacy.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1511839","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48742313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

A data-driven approach to exploring similarities of tourist attractions through online reviews 一种数据驱动的方法，通过在线评论探索旅游景点的相似之处

IF 2.3

Journal of Location Based Services Pub Date : 2018-04-03 DOI: 10.1080/17489725.2018.1493548

Grant McKenzie, B. Adams

引用次数: 19

Location based services: ongoing evolution and research agenda 基于位置的服务:持续发展和研究议程

IF 2.3

Journal of Location Based Services Pub Date : 2018-04-03 DOI: 10.1080/17489725.2018.1508763

Haosheng Huang, G. Gartner, J. Krisp, M. Raubal, N. Weghe

引用次数: 204

Visual analysis of speed bumps using floating car dataset 使用浮动汽车数据集的减速带视觉分析

IF 2.3

Journal of Location Based Services Pub Date : 2018-04-03 DOI: 10.1080/17489725.2018.1521010

I. Kveladze, N. Agerholm

{"title":"Visual analysis of speed bumps using floating car dataset","authors":"I. Kveladze, N. Agerholm","doi":"10.1080/17489725.2018.1521010","DOIUrl":"https://doi.org/10.1080/17489725.2018.1521010","url":null,"abstract":"ABSTRACT The analysis of traffic movements in urban populations is important for safety measures to control speed when the presence of pedestrians is high. Most of the studies in the traffic domain are directed towards statistical analyses of speed, also to measure the physical parameters of bumps on roads, and effect of speed-calming measures. However, less is known about the effectiveness of varying intervals between speed-calming measures and their influence on the driving behaviour of vehicles from a spatio-temporal perspective. To fill this gap and understand these aspects, in this research we propose visual analytics techniques. To explore the influence of the distance between bumps on speed change behaviour of vehicles in relation to the permitted speed limit, several use case studies were selected with the close cooperation of a traffic expert. The aim was first to study the influence of the speed bumps on speeding, and then establish any connection between speed bump intervals and vehicle speeding in the selected use cases. The results of our investigation did reveal minor differences and influence of a time aspect on traffic volume and speed development. Also, differences in actual speed of the vehicles in relation to the distance of installed bumps were detected.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1521010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46865230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

An original approach to positioning with cellular fingerprints based on decision tree ensembles 一种基于决策树集成的蜂窝指纹定位方法

IF 2.3

Journal of Location Based Services Pub Date : 2018-01-15 DOI: 10.1080/17489725.2018.1553313

Andrea Viel, Andrea Brunello, A. Montanari, Federico Pittino

{"title":"An original approach to positioning with cellular fingerprints based on decision tree ensembles","authors":"Andrea Viel, Andrea Brunello, A. Montanari, Federico Pittino","doi":"10.1080/17489725.2018.1553313","DOIUrl":"https://doi.org/10.1080/17489725.2018.1553313","url":null,"abstract":"ABSTRACT In addition to being a fundamental infrastructure for communication, cellular networks are increasingly employed for outdoor positioning through signal fingerprinting. In this respect, the choice of the specific strategy used to obtain a position estimation from fingerprints plays a major role in determining the overall accuracy. In this paper, we propose a novel fingerprint comparison method, to be used in dynamic and large-scale contexts, such as the outdoor one, based on a machine learning approach. We explore two possible machine learning solutions, that make use of decision tree ensembles and support vector machines, respectively, and carefully contrast and evaluate them against a set of well-known, state-of-the-art fingerprint comparison functions from the literature. Tests are carried out with different tracking devices and environmental settings. It turns out that the machine learning approach, especially when implemented using decision tree ensembles, provides consistently better estimations than all the other considered strategies.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1553313","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48536094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Travel and us: the impact of mode share on sentiment using geo-social media and GIS 旅行与我们：使用地理社交媒体和GIS的模式共享对情绪的影响

IF 2.3

Journal of Location Based Services Pub Date : 2018-01-02 DOI: 10.1080/17489725.2018.1468039

Greg Rybarczyk, Syagnik Banerjee, Melissa D. Starking-Szymanski, R. Shaker

{"title":"Travel and us: the impact of mode share on sentiment using geo-social media and GIS","authors":"Greg Rybarczyk, Syagnik Banerjee, Melissa D. Starking-Szymanski, R. Shaker","doi":"10.1080/17489725.2018.1468039","DOIUrl":"https://doi.org/10.1080/17489725.2018.1468039","url":null,"abstract":"Abstract Commute stress is a serious health problem that impacts nearly everyone. Considering that microblogged geo-locational information offers new insight into human attitudes, the present research examined the utility of geo-social media data for understanding how different active and inactive travel modes affect feelings of pleasure, or displeasure, in two major US cities: Chicago, Illinois and Washington DC. A popular approach was used to derive a sentiment index (pleasure or valence) for each travel Tweet. Methodologically, exploratory spatial data analysis (ESDA) and global and spatial regression models were used to examine the geography of all travel modes and factors affecting their valence. After adjusting for spatial error associated with socioeconomic, environmental, weather and temporal factors, spatial autoregression models proved superior to the base global model. The results showed that water and pedestrian travel were universally associated with positive valences. Bicycling also favourably influenced valence, albeit only in DC. A noteworthy finding was the negative influence temperature and humidity had on valence. The outcomes from this research should be considered when additional evidence is needed to elevate commuter sentiment values in practice and policy, especially in regards to active transportation.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1468039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49660930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Analysis of tourist classification from cellular network data 基于蜂窝网络数据的旅游分类分析

IF 2.3

Journal of Location Based Services Pub Date : 2018-01-02 DOI: 10.1080/17489725.2018.1463466

M. Mamei, Massimo Colonna

引用次数: 9

In Memoriam: Professor Rein Ahas (1966–2018) 纪念:雷小山·阿哈斯教授(1966-2018)

IF 2.3

Journal of Location Based Services Pub Date : 2018-01-02 DOI: 10.1080/17489725.2018.1470862

G. Gartner

引用次数: 0

Classification-based symbolic indoor positioning over the Miskolc IIS Data-set Miskolc IIS数据集上基于分类的符号室内定位

IF 2.3

Journal of Location Based Services Pub Date : 2018-01-02 DOI: 10.1080/17489725.2018.1455992

J. Tamás, Zsolt Tóth

{"title":"Classification-based symbolic indoor positioning over the Miskolc IIS Data-set","authors":"J. Tamás, Zsolt Tóth","doi":"10.1080/17489725.2018.1455992","DOIUrl":"https://doi.org/10.1080/17489725.2018.1455992","url":null,"abstract":"Abstract Determination of indoor position is vital for the creation of smart environments. Symbolic indoor positioning algorithms determine the location as a well-defined part of the building, such as a room, a corridor or a floor. Performance analysis of classification-based symbolic indoor positioning methods are presented in this paper. Symbolic positioning can be considered as a classification task, where position denotes the category and the attributes are the measured values. Evaluation and comparison of the selected classification methods are performed over a hybrid data-set which was recorded by the ILONA (Indoor Localisation and Navigation) System. These experiments were performed in RapidMiner and the Weka framework. Accuracy is the base of comparison and the following classification methods were used: k–NN, Naive Bayes, Decision Tree, Rule Induction and Artificial Neural Network. Comparison is used to recommend a classification-based symbolic indoor positioning method to be implemented in the ILONA System. Experimental results show that the k–NN, Naive Bayes with 1 kernel and ANN classifiers achieved better than 90% accuracy. As a result of our experiments, k–NN, Naive Bayes with 1 kernel- and ANN-based classification methods are recommended.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1455992","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60103657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

A multidimensional model for selecting personalised landmarks 用于选择个性化地标的多维模型

IF 2.3

Journal of Location Based Services Pub Date : 2017-10-02 DOI: 10.1080/17489725.2017.1401129

Eva Nuhn, S. Timpf

{"title":"A multidimensional model for selecting personalised landmarks","authors":"Eva Nuhn, S. Timpf","doi":"10.1080/17489725.2017.1401129","DOIUrl":"https://doi.org/10.1080/17489725.2017.1401129","url":null,"abstract":"Abstract Route instructions for pedestrians usually include many references to landmarks. The specific landmark used depends on the perceived familiarity of the traveller with the environment. While a human informant is able to perceive this personal dimension and react accordingly, existing landmark selection algorithms neglect the individual spatial knowledge of a wayfinder. In this paper, we share our ideas for incorporating a personal dimension into the definition of landmark salience. This complements current models, which identify landmark salience based on attributes of landmarks or integrate route-dependent landmarks based on environmental factors. We propose a conceptual framework for a multidimensional model for personalised landmarks that integrates three dimensions: a dimension describing the landmark, an environmental dimension and a personal dimension, which has been lacking in existing landmark salience models. We identify and discuss attributes and attribute values for each of the dimensions. Furthermore, salience measures for the attributes of the individual dimensions are developed. The novelty of this research consists of integrating all known attributes and potential values within a single model of salience, while focusing on the personal dimension.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2017-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2017.1401129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48553981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20