Journal of Location Based Services最新文献_第5页

Landmark selection preferences of young students under orientation task within street environment 街道环境下定向任务下青年学生的地标选择偏好

IF 2.3

Journal of Location Based Services Pub Date : 2021-11-21 DOI: 10.1080/17489725.2021.2006347

Z. Fang, Lubin Wang, Fan Yang, Fangli Guan

{"title":"Landmark selection preferences of young students under orientation task within street environment","authors":"Z. Fang, Lubin Wang, Fan Yang, Fangli Guan","doi":"10.1080/17489725.2021.2006347","DOIUrl":"https://doi.org/10.1080/17489725.2021.2006347","url":null,"abstract":"ABSTRACT Landmarks are important spatial reference in orientation because they can help pedestrians understand the relative spatial relationship between environment and themselves, yet not all landmarks are suitable for orientation. Pedestrians usually select the proper ones based on their own cognition, which is a time-consuming process. If we can predict popular landmarks (preferred by most people) from a first-person perspective, orientation will be much easier. To better understand landmark selection behaviour, the research in this paper designs an orientation experiment within virtual street environment to investigate young students aged 21–31 about preferences for landmarks. Based on the selection results, this paper further constructs a random forest model to choose popular landmarks. Results indicate that one or two landmarks are enough to meet young students’ needs for orientation, and the time spent on orientation significantly reduces by using chosen popular landmarks in most scenes. In addition, classification model achieves a desirable performance in popular landmark selection: F1 score and AUC of the predictive results reached 0.820 and 0.855, respectively, where landmark route deviation, visual salience and semantic salience serve as essential factors in influencing young students’ selection. These findings can provide a feasible reference for optimising pedestrian navigation system.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47359677","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: 0

Modular multi-dimensional tool for emergency evacuation including location-based social network data 用于紧急疏散的模块化多维工具，包括基于位置的社交网络数据

IF 2.3

Journal of Location Based Services Pub Date : 2021-11-16 DOI: 10.1080/17489725.2021.1990422

Ilil Blum Shem-Tov, S. Bekhor

引用次数: 1

Spatial interpolation of mobile positioning data for population statistics 人口统计中移动定位数据的空间插值

IF 2.3

Journal of Location Based Services Pub Date : 2021-05-10 DOI: 10.1080/17489725.2021.1917710

A. Aasa, Pilleriine Kamenjuk, Erki Saluveer, J. Šimbera, Janika Raun

{"title":"Spatial interpolation of mobile positioning data for population statistics","authors":"A. Aasa, Pilleriine Kamenjuk, Erki Saluveer, J. Šimbera, Janika Raun","doi":"10.1080/17489725.2021.1917710","DOIUrl":"https://doi.org/10.1080/17489725.2021.1917710","url":null,"abstract":"ABSTRACT Mobile positioning is recognised to be one of the most promising new sources of data for the production of fast and cost-effective statistics regarding population and mobility. Considerable interest has been shown by government institutions in their search for a way to use mobile positioning data to produce official statistics, although to date there are only few examples of successful projects. Apart from data access and sampling, the main challenges relate to the spatial interpolation of mobile positioning data and extrapolation of recorded data to the level of the entire population. This area of work has to date received relatively little attention in the academic discussion. In the current study, we compare five different methods of spatial interpolation of mobile positioning data. The best methods of describing population distribution and size in comparison with Census data are the adaptive Morton grid and the Random forest model (R2 > 0.9), while the more widely used point-in-polygon and areal-weighted methods produce results that are far less satisfactory (R2 = 0.42; R2 = 0.35). Careful selection of spatial interpolation methods is therefore of the utmost importance for producing reliable population statistics from mobile positioning data.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2021.1917710","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41980028","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

Privacy preserved spatio-temporal trajectory publication of Covid-19 patients 新冠肺炎患者隐私保护时空轨迹公布

IF 2.3

Journal of Location Based Services Pub Date : 2021-04-11 DOI: 10.1080/17489725.2021.1906965

N. L. Rajesh, Sajimon Abraham, Shyni S. Das

{"title":"Privacy preserved spatio-temporal trajectory publication of Covid-19 patients","authors":"N. L. Rajesh, Sajimon Abraham, Shyni S. Das","doi":"10.1080/17489725.2021.1906965","DOIUrl":"https://doi.org/10.1080/17489725.2021.1906965","url":null,"abstract":"ABSTRACT To control the community spread of Covid-19 by health authorities, citizens’ use of contact tracing mobile applications is vital. Publication of these traces for prospective probes, the collected spatio-temporal traces of Covid-19 positive cases through LBS contributes to personal privacy violation. So, the data collector must anonymise the essential attributes in the trajectories before initiating the release of trajectory data. We propose an approach that provides sufficient personal protection to the individuals while publishing their trajectory data by anonymising very sensitive stay locations like home, work-locations, etc. Anonymisation of more locations in trajectories upsets the data utility of Covid-19 traces in future studies. This work creates Haversine distance measured Minimum Bounding Rectangular (MBR) stay zones, over the most sensitive stay locations with similar Places of Interest to provide anonymity and prevents the adversary from getting known the exact information about the sensitive stay locations. Since the published versions of GPS traces of Covid-19 patients were unavailable, we created sample dummy datasets by altering the available spatio-temporal datasets. The result proves that the data utility is a little high, and the information loss is low, but comparable to the other similar methods.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2021.1906965","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41601038","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: 0

Rescue notification system with accurate location estimation for injuries in city Marathons 城市马拉松比赛中具有准确受伤位置估计功能的救援通知系统

IF 2.3

Journal of Location Based Services Pub Date : 2021-04-03 DOI: 10.1080/17489725.2021.1890845

Chun-I Sun, Kuo-Song Chang, Jung-Tang Huang

{"title":"Rescue notification system with accurate location estimation for injuries in city Marathons","authors":"Chun-I Sun, Kuo-Song Chang, Jung-Tang Huang","doi":"10.1080/17489725.2021.1890845","DOIUrl":"https://doi.org/10.1080/17489725.2021.1890845","url":null,"abstract":"ABSTRACT This study proposes a simple location-based rescue request system for use in city marathons with large numbers of athletes. Instead of using passive radio frequency identification technology, the proposed system employs initiative Bluetooth low-energy communication technology. When an athlete is injured, they can immediately transmit a rescue request that contains their estimated location and the time of the injury. Upon receiving the rescue request, medical staff can respond rapidly. This study included three parts. First, the time required for a rescue team to receive a request from an injured athlete was estimated based on past international city marathon race records. Then, a software simulation was performed to extract the simplest transfer parameter requirements for system positioning. Finally, experimental samples were produced for field verification, and the rescue notification timing system was developed. This approach was found to successfully deliver 97.4%–99.9% of the athletes’ request messages within 3–4 min and maintains the error range of the rescue locations under 15 m. It is appropriate for use in city marathons owing to its simple structure, low weight, low cost, and need for only common commercial technologies that are ready for mass production.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2021.1890845","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41675644","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

An exploratory data analysis protocol for identifying problems in continuous movement data 一种探索性数据分析协议，用于识别连续运动数据中的问题

IF 2.3

Journal of Location Based Services Pub Date : 2021-04-03 DOI: 10.1080/17489725.2021.1900612

A. Graser

引用次数: 8

Changing mobility patterns in the Netherlands during COVID-19 outbreak 2019冠状病毒病疫情期间荷兰流动模式的变化

IF 2.3

Journal of Location Based Services Pub Date : 2021-03-11 DOI: 10.1080/17489725.2021.1876259

Sander van der Drift, L. Wismans, M. J. Kalter

{"title":"Changing mobility patterns in the Netherlands during COVID-19 outbreak","authors":"Sander van der Drift, L. Wismans, M. J. Kalter","doi":"10.1080/17489725.2021.1876259","DOIUrl":"https://doi.org/10.1080/17489725.2021.1876259","url":null,"abstract":"ABSTRACT The COVID-19 outbreak and associated measures taken had an enormous impact on society as well as a disruptive, but not necessarily negative, impact on mobility. The Ministry of Infrastructure and Water Management received the most recent insights from the Dutch Mobility Panel (DMP) on a weekly basis. These insights were used to monitor the travel behaviour and to analyse changes in the behaviour of different groups and usage of modes of transport during COVID-19. The analysis shows an enormous decrease in travel at the beginning of the implementation of the so-called ‘intelligent’ lockdown and gradual increase again towards comparable levels as before this ‘intelligent lockdown, although the distribution over time, motives and used modes has changed. It becomes clear that not everyone needs to travel during peak hours and commuter travel is also not the main reason for the increase in car usage. Furthermore, cycling has shown to be an alternative option for travellers and public transport is hardly used anymore. If it is possible to sustain the lower level of car usage and integrate public transport as an important alternative for travel again, the COVID-19 impact on mobility could have a substantial remaining positive impact on mobility.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2021.1876259","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41681842","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: 19

Technological and analytical review of contact tracing apps for COVID-19 management 新冠肺炎管理接触者追踪应用程序的技术和分析综述

IF 2.3

Journal of Location Based Services Pub Date : 2021-03-10 DOI: 10.1080/17489725.2021.1899319

Rajan Gupta, G. Pandey, Poonam Chaudhary, S. Pal

{"title":"Technological and analytical review of contact tracing apps for COVID-19 management","authors":"Rajan Gupta, G. Pandey, Poonam Chaudhary, S. Pal","doi":"10.1080/17489725.2021.1899319","DOIUrl":"https://doi.org/10.1080/17489725.2021.1899319","url":null,"abstract":"ABSTRACT Role of technology is improving for COVID-19 management all around the world. Usage of mobile applications, web applications, cloud computing, and related technologies have helped many public administrators worldwide manage the current pandemic. Contact tracing applications are such mobile app solutions that are used by more than 100 countries today. This study presents a structured research review-based framework related to multiple contact tracing applications. The various components of the framework are related to technological working, design architecture, and feature analysis of the applications, along with the analysis of the acceptance of such applications worldwide. Also, components focusing on the security features and analysis of these applications based on Data Privacy, Security Vetting, and different attacks have been included in the research framework. Many applications are yet to explore the analytical capabilities of the data generated through contact tracing. The various use-cases identified for these applications are detecting positive case probability, identifying a containment zone in the country, finding regional hotspots, monitoring public events & gatherings, identifying sensitive routes, and allocating resources in various regions during the pandemic. This study will act as a guide for the users researching contact tracings applications using the proposed four-layered framework for their app assessment.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2021.1899319","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42757341","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

Fast travel-distance estimation using overhead graph 基于开销图的快速行程估计

IF 2.3

Journal of Location Based Services Pub Date : 2021-03-04 DOI: 10.1080/17489725.2021.1889058

R. Mariescu-Istodor, P. Fränti

{"title":"Fast travel-distance estimation using overhead graph","authors":"R. Mariescu-Istodor, P. Fränti","doi":"10.1080/17489725.2021.1889058","DOIUrl":"https://doi.org/10.1080/17489725.2021.1889058","url":null,"abstract":"ABSTRACT Shortest path can be computed in real-time for single navigational instructions. However, in complex optimisation tasks, lots of travel-distances (lengths of shortest paths) are needed and the total workload becomes a burden. We present a fast method for estimating the travel-distance from one location to another by using an overhead graph that stores the ratio between the bird-distance and the travel-distance for few representative locations. The travel-distance is then estimated for any two locations using the corresponding value between their nearest nodes in the graph. We test the method within an optimization setting where the goal is to relocate health services so that the travel-distance of patients is minimised. We build the overhead graph using road network information from Open Street Map and experiment with real-world data in the region of North Karelia, Finland as a part of the ongoing IMPRO project. The results show that the average estimation error is 0.5 km with a graph of 512 nodes, and the total processing time reduces from 1.2 hours to 2.9 seconds per iteration in the optimisation process. The error in the estimated travel-distances is 2%, on average, which is significantly smaller than 8% of the second best estimation method.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2021.1889058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49301582","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

Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials 通过生态有效试验展示室内定位监测建筑占用率的潜力

IF 2.3

Journal of Location Based Services Pub Date : 2021-03-02 DOI: 10.1080/17489725.2021.1893394

Md Shadab Mashuk, J. Pinchin, Peer-Olaf Siebers, T. Moore

{"title":"Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials","authors":"Md Shadab Mashuk, J. Pinchin, Peer-Olaf Siebers, T. Moore","doi":"10.1080/17489725.2021.1893394","DOIUrl":"https://doi.org/10.1080/17489725.2021.1893394","url":null,"abstract":"ABSTRACT Assessing building performance related to energy consumption in post-design-occupancy stage requires knowledge of building occupancy pattern. These occupancy data can potentially be collected from trials and used to improve the prediction capability of building performance models. Due to the limitations of passive sensors in detecting an individual’s occupancy throughout the building, indoor positioning can provide a viable alternative. Previous work on using indoor positioning techniques for detecting building occupancy mainly focused on passive monitoring through Wi-Fi or BLE proximity sensing by estimating the number of occupants at any given time. This paper extends our previous research and demonstrates the merit of occupancy monitoring through active tracking at an individual level using a smartphone-based multi-floor indoor positioning system. The paper discusses the design of a novel occupancy detection trial setup, mimicking real-world office occupancy and discusses the outcome of the ecologically valid trials using the developed positioning system. In total 50 occupancy trials were carried out by around 22 participants comprising of a variety of routes within the building. The trial results are presented to demonstrate the level of accuracy achievable against a specific set of the performance metric necessary for building occupancy detection and modelling.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2021.1893394","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43599433","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