Journal of Location Based Services最新文献_第6页

Comparison of spatiotemporal contribution patterns among three crowd-sourcing drone platforms 三个众包无人机平台的时空贡献格局比较

IF 2.3

Journal of Location Based Services Pub Date : 2021-02-24 DOI: 10.1080/17489725.2021.1889057

Ammar Mandourah, H. Hochmair

引用次数: 3

The impact of COVID-19 on daily lives of transnational people based on smartphone data: Estonians in Finland 基于智能手机数据的COVID-19对跨国人士日常生活的影响:在芬兰的爱沙尼亚人

IF 2.3

Journal of Location Based Services Pub Date : 2021-02-21 DOI: 10.1080/17489725.2021.1887526

O. Järv, Ago Tominga, Kerli Müürisepp, Siiri Silm

{"title":"The impact of COVID-19 on daily lives of transnational people based on smartphone data: Estonians in Finland","authors":"O. Järv, Ago Tominga, Kerli Müürisepp, Siiri Silm","doi":"10.1080/17489725.2021.1887526","DOIUrl":"https://doi.org/10.1080/17489725.2021.1887526","url":null,"abstract":"ABSTRACT Global crises such as the COVID-19 pandemic affect both the functioning of our societies and the daily lives of people. Yet the impact of the crisis and its mitigation measures have exerted disproportionate influence on different population groups. In March – May 2020, COVID-19 mitigation measures such as closures of national borders affected transnational people who cross borders frequently for work, shopping, services, family reasons and socialising. We have examined the influence of the COVID-19 pandemic on the daily lives of transnational Estonians residing in Finland, based on a unique longitudinal smartphone tracking survey. Findings show that besides a drastic but expected decrease in transnationals’ spatial mobility, the pandemic has especially affected their cross-border mobility patterns to and time spent in Estonia. Interestingly, during the lockdown, some transnationals decided to stay not in their primary home in Finland, but in Estonia. Mobile phone communication activity followed moderately the downward trend of spatial mobility, but the crisis changed the division of communication partners by country: Finnish contacts diminished, whereas Estonian partners remained active. We reflect on our findings for future research and discuss the applicability of the smartphone tracking approach for capturing the socio-spatial interactions of transnational people.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2021.1887526","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45369708","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: 16

A store location-based recommender system using user’s position and web searches 一个基于商店位置的推荐系统，使用用户的位置和网络搜索

IF 2.3

Journal of Location Based Services Pub Date : 2021-02-04 DOI: 10.1080/17489725.2021.1880029

Goshtasb Shahriari-Mehr, M. Delavar, C. Claramunt, Babak Nadjar Araabi, M. Dehaqani

{"title":"A store location-based recommender system using user’s position and web searches","authors":"Goshtasb Shahriari-Mehr, M. Delavar, C. Claramunt, Babak Nadjar Araabi, M. Dehaqani","doi":"10.1080/17489725.2021.1880029","DOIUrl":"https://doi.org/10.1080/17489725.2021.1880029","url":null,"abstract":"ABSTRACT Nowadays, gathering information about commercial products can be performed either online or offline. While online searches can be virtually undertaken through online shopping websites, offline searches should be done physically at stores. However, there is a specific emerging trend where users can check some product opportunities online before getting to the stores and then possibly buying some items whose properties have already been evaluated over the Web. Product properties can be studied online while on site evaluation provides a direct contact with these goods at the stores. The objective of the approach developed in this paper is to discover user preferences when searching and exploring online shopping websites and then recommend the stores that better match their interests. First, users’ internet behaviours are extracted from an online shopping website. Secondly, a Voronoi high-dimensional structure supports the derivation of similarities between the users and stores. Third, a distance matrix between the user and the selected stores is generated. Finally, a ranked list of the most appropriate stores is provided to the users based on their product interest and their locations. The whole approach has been successfully tested by a panel of 30 volunteers in the 6th District of the city of Tehran.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2021.1880029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43340478","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: 1

Geofreebie: a location-based freecycling app to support forced migrant resettlement Geofreebie:一个基于位置的免费回收应用程序，支持强制移民的重新安置

IF 2.3

Journal of Location Based Services Pub Date : 2021-01-02 DOI: 10.1080/17489725.2021.1874553

Lucas Braun, Auriol Degbelo, C. Kray

{"title":"Geofreebie: a location-based freecycling app to support forced migrant resettlement","authors":"Lucas Braun, Auriol Degbelo, C. Kray","doi":"10.1080/17489725.2021.1874553","DOIUrl":"https://doi.org/10.1080/17489725.2021.1874553","url":null,"abstract":"ABSTRACT Germany has witnessed an influx of forced migrants in recent years. Promoting social interaction with the local community is key to supporting the resettlement of these newcomers. Location-based freecycling services present important benefits due to freecycling’s potential to bolster social engagement and location-based services’ ability to adapt to the user’s context. Yet, their potential to support forced migrants’ resettlement is yet to be examined. We conducted needs assessment interviews with 11 participants in Münster, Germany. We analysed the interview results to develop user requirements for location-based freecycling services. We then implemented a subset of the user requirements as a prototype mobile app called Geofreebie. The evaluation of the app with 22 participants showed that Geofreebie offered two key advantages for forced migrants’ resettlement: it increased the size of their social network, and created a sense of community on their side. These findings can benefit researchers and developers of location-based services to support forced migrant resettlement.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2021.1874553","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47350890","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: 2

Location-based services – the market: success factors and emerging trends from an exploratory approach 基于位置的服务——市场：探索方法的成功因素和新兴趋势

IF 2.3

Journal of Location Based Services Pub Date : 2021-01-02 DOI: 10.1080/17489725.2020.1868587

Perole Uphaus, Björn Beringer, K. Siemens, Annika Ehlers, H. Rau

{"title":"Location-based services – the market: success factors and emerging trends from an exploratory approach","authors":"Perole Uphaus, Björn Beringer, K. Siemens, Annika Ehlers, H. Rau","doi":"10.1080/17489725.2020.1868587","DOIUrl":"https://doi.org/10.1080/17489725.2020.1868587","url":null,"abstract":"ABSTRACT By measuring the possibilities of enterprises linking location-based services (LBS) to regional and local content of interest, research found a tremendous lack of knowledge, how media enterprises – as well as content providers – in- and outside legacy media can use innovative LBS. One could presume that the absence of fulfiling market-information about current LBS proves to be a decisive factor causing a poor implementation of LBS in content-related services especially for media outlets. This contribution aims to fill this gap by providing an innovative, new kind of market exploration method for creating a general overview of current applications and, with that, the entire market for LBS, based on specific mentions of LBS in tech-related newsletters. The resulting category system (focusing on providers, areas of application, functions and technologies) enables the identification of success factors concerning which services are well established, and how this is linked to the type of application, technology, business models and other characteristics. The findings reveal the application of location analytics to enhance the user experience to be a particularly promising opportunity for current LBS implementation. With its completely new method, the study provides a much-needed new framework for further market explorations in this field.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2020.1868587","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45540698","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

Improving indoor geomagnetic field fingerprinting using recurrence plot-based convolutional neural networks 基于递归图的卷积神经网络改进室内地磁场指纹

IF 2.3

Journal of Location Based Services Pub Date : 2020-12-28 DOI: 10.1080/17489725.2020.1856428

M. Abid, G. Lefebvre

{"title":"Improving indoor geomagnetic field fingerprinting using recurrence plot-based convolutional neural networks","authors":"M. Abid, G. Lefebvre","doi":"10.1080/17489725.2020.1856428","DOIUrl":"https://doi.org/10.1080/17489725.2020.1856428","url":null,"abstract":"ABSTRACT Geomagnetic field fingerprinting is gradually substituting Bluetooth and WiFi fingerprinting since the magnetic field is ubiquitous and independent of any infrastructure. Many studies have used Convolutional Neural Networks (CNNs) to develop indoor positioning systems. Most of these networks use actual magnetic values to build fingerprints. The main source of diminished accuracy is that these CNNs cannot solve the distribution issue of the same magnetic field values. To remedy this limitation, there is a recent interest in applying CNNs to sequences of actual and past data, but no comparative studies have shown the performance contribution of this alternative. In this paper, we propose a CNN-based magnetic fingerprinting system using Recurrence Plots (RPs) as sequence fingerprints. To fairly compare the proposed system with an existing solution treating instantaneous magnetic data, the same real-world data in an indoor environment are used. Testing results show location classification accuracies of 94.92% and 95.46% for the cases of using one RP and three RPs, respectively. As for the localisation error, results show that sequence pattern recognition results in at least a seven-fold decrease in mean distance error.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2020.1856428","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48929426","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: 3

Context-aware similarity of GPS trajectories GPS轨迹的上下文感知相似性

IF 2.3

Journal of Location Based Services Pub Date : 2020-10-01 DOI: 10.1080/17489725.2020.1842923

R. Mariescu-Istodor, P. Fränti

引用次数: 5

Enhanced peer-to-peer anonymity approach for privacy preserving in location-based services 在基于位置的服务中保护隐私的增强对等匿名方法

IF 2.3

Journal of Location Based Services Pub Date : 2020-10-01 DOI: 10.1080/17489725.2020.1844326

Emad Elabd

{"title":"Enhanced peer-to-peer anonymity approach for privacy preserving in location-based services","authors":"Emad Elabd","doi":"10.1080/17489725.2020.1844326","DOIUrl":"https://doi.org/10.1080/17489725.2020.1844326","url":null,"abstract":"ABSTRACT Nowadays, Location-based services (LBS) are important services that take benefits from the revolution in communications. Nevertheless, user’s privacy is considered as significant challenge that could impede the use of this type of services. Current Privacy-preserving techniques mainly preserve location not query privacy (i.e., query issuer identification). The untrusted LBS provider (adversary) can breach user privacy in case that it has some user background knowledge and caches queries from more than one user in the same anonymity region (group). These types of attacks use users’ profiles and cached queries to predict semantically the issuer of each query. In this paper, a peer-to-peer privacy-preserving model is presented to protect the user privacy against these types of attacks taking into account the users’ profiles and cached queries in the LBS server. Using this model, an inference algorithm for predicating semantically the issuer of each query and her/his underlying location is presented to check the probability that a query privacy could be breached. A set of experiments is performed to check the effectiveness of the proposed privacy-preserving model. The results show that the cached queries with semantic matching affect negatively in breaching the query and location privacy.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2020.1844326","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43151216","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: 1

Deep learning methods for fingerprint-based indoor positioning: a review 基于指纹的室内定位深度学习方法综述

IF 2.3

Journal of Location Based Services Pub Date : 2020-07-02 DOI: 10.1080/17489725.2020.1817582

Fahad Al-homayani, M. Mahoor

{"title":"Deep learning methods for fingerprint-based indoor positioning: a review","authors":"Fahad Al-homayani, M. Mahoor","doi":"10.1080/17489725.2020.1817582","DOIUrl":"https://doi.org/10.1080/17489725.2020.1817582","url":null,"abstract":"ABSTRACT Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for indoor positioning impractical. Location fingerprinting, which utilizes machine learning, has emerged as a viable method and solution for indoor positioning due to its simple concept and accurate performance. In the past, shallow learning algorithms were traditionally used in location fingerprinting. Recently, the research community started utilizing deep learning methods for fingerprinting after witnessing the great success and superiority these methods have over traditional/shallow machine learning algorithms. This paper provides a comprehensive review of deep learning methods in indoor positioning. First, the advantages and disadvantages of various fingerprint types for indoor positioning are discussed. The solutions proposed in the literature are then analyzed, categorized, and compared against various performance evaluation metrics. Since data is key in fingerprinting, a detailed review of publicly available indoor positioning datasets is presented. While incorporating deep learning into fingerprinting has resulted in significant improvements, doing so, has also introduced new challenges. These challenges along with the common implementation pitfalls are discussed. Finally, the paper is concluded with some remarks as well as future research trends.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2020.1817582","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48688129","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: 41

GeoVisual analytics for understanding the distribution of speeding patterns on arterial roads: assessing the traffic safety of vulnerable road users 了解主干道上超速模式分布的GeoVisual分析：评估弱势道路使用者的交通安全

IF 2.3

Journal of Location Based Services Pub Date : 2020-07-02 DOI: 10.1080/17489725.2020.1823497

I. Kveladze, N. Agerholm

{"title":"GeoVisual analytics for understanding the distribution of speeding patterns on arterial roads: assessing the traffic safety of vulnerable road users","authors":"I. Kveladze, N. Agerholm","doi":"10.1080/17489725.2020.1823497","DOIUrl":"https://doi.org/10.1080/17489725.2020.1823497","url":null,"abstract":"ABSTRACT Arterial roads have operational significance and play a substantial role in the mobility of modern society. They make up the majority of road network in urban and rural areas and allow high-speed movement despite traffic-controlling elements. In densely populated areas where the presence of Vulnerable Road Users (VRUs) is high, high-speed movement is problematic, and speed calming measures are needed to improve traffic safety, since many VRUs do crossroads, regardless of the road network regulations. These aspects have been researched in the traffic domain in a small scale, and not much has been investigated from a visualisation perspective. To provide comprehensive insights on the movement characteristics of arterial roads, we propose a GeoVisual Analytics (GVA) approach. GVA techniques are suitable solutions to display and extract knowledge from large amounts of Floating Car Data (FCD) collected through on-board devices of vehicles. By cross-sector collaboration between cartographic and traffic experts, five arterial road segments in Aalborg City were selected to answer where and when in particular VRUs do cross streets by ignoring traffic rules. Based on clusters of large unexplainable deviations from driving speed in FCD, the results uncovered meaningful patterns from complex traffic movements. They also allowed for the provision of some recommendations that are critical for traffic safety in urban areas.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2020.1823497","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46268714","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: 2