The impact and penetration of location-based services

Since the invention of digital technology, its development has followed an entrenched path ofminiaturisation and decentralisation with increasing focus on individual and niche applications. Computerhardware has moved from remote centres to desktop and hand held devices whilst being embedded invarious material infrastructures. Software has followed the same course. The entire process has convergedon a path where various analogue devices have become digital and are increasingly being embedded inmachines at the smallest scale. In a parallel but essential development, there has been a convergence ofcomputers with communications ensuring that the delivery and interaction mechanisms for computersoftware is now focused on networks of individuals, not simply through the desktop, but in mobilecontexts. Various inert media such as fixed television is becoming more flexible as computers and visualmedia are becoming one.With such massive convergence and miniaturisation, new software and new applications define the cuttingedge. As computers are being increasingly tailored to individual niches, then new digital services areemerging, many of which represent applications which hitherto did not exist or at best were rarely focusedon a mass market. Location based services form one such application and in this paper, we will bothspeculate on and make some initial predictions of the geographical extent to which such services willpenetrate different markets. We define such services in detail below but suffice it to say at this stage thatsuch functions involve the delivery of traditional services using digital media and telecommunications.High profile applications are now being focused on hand held devices, typically involving information onproduct location and entertainment but wider applications involve fixed installations on the desktop whereservices are delivered through traditional fixed infrastructure. Both wire and wireless applications definethis domain. The market for such services is inevitably volatile and unpredictable at this early stage but wewill attempt here to provide some rudimentary estimates of what might happen in the next five to tenyears.The ?network society? which has developed through this convergence, is, according to Castells (1989,2000) changing and re-structuring the material basis of society such that information has come todominate wealth creation in a way that information is both a raw material of production and an outcome ofproduction as a tradable commodity. This has been fuelled by the way technology has expanded followingMoore?s Law and by fundamental changes in the way telecommunications, finance, insurance, utilitiesand so on is being regulated. Location based services are becoming an integral part of this fabric and thesereflect yet another convergence between geographic information systems, global positioning systems, andsatellite remote sensing. The first geographical information system, CGIS, was developed as part of theCanada Land Inventory in 1965 and the acronym ?GIS? was introduced in 1970. 1971 saw the firstcommercial satellite, LANDSAT-1. The 1970s also saw prototypes of ISDN and mobile telephone and theintroduction of TCP/IP as the dominant network protocol. The 1980s saw the IBM XT (1982) and thebeginning of de-regulation in the US, Europe and Japan of key sectors within the economy. Finally in the 1990s, we saw the introduction of the World Wide Web and the ubiquitous pervasion of business andrecreation of networked PC?s, the Internet, mobile communications and the growing use of GPS forlocational positioning and GIS for the organisation and visualisation of spatial data. By the end of the 20thcentury, the number of mobile telephone users had reached 700 million worldwide. The increasingmobility of individuals, the anticipated availability of broadband communications for mobile devices andthe growing volumes of location specific information available in databases will inevitably lead to thedemand for services that will deliver location related information to individuals on the move. Suchlocation based services (LBS) although in a very early stage of development, are likely to play anincreasingly important part in the development of social structures and business in the coming decades.In this paper we begin by defining location based services within the context we have just sketched. Wethen develop a simple model of the market for location-based services developing the standard non-linearsaturation model of market penetration. We illustrate this for mobile devices, namely mobile phones in thefollowing sections and then we develop an analysis of different geographical regimes which arecharacterised by different growth rates and income levels worldwide. This leads us to speculate on theextent to which location based services are beginning to take off and penetrate the market. We concludewith scenarios for future growth through the analogy of GIS and mobile penetration

SISTEM INFFORMASI GEOGRAFIS PELAYANAN UMUM DIKOTA TUBAN BERBASIS WAP

ABSTRACT Geographical Information Systems is an information system used to enter, store, recall, process, analyze, and produce geographically referenced or geospatial data, to support decision making in the planning. By using GIS hoped will facilitate decision-makers to know the location of public services and facilities, existing facilities in the City of Tuban. Because with the SIG will describe the general service location on the real conditions in this case is the map of Tuban. In this final project, we created a Geographic Information System (GIS) of WAP-based public service information contained in the Tuban area of education, healthcare, office, industrial, security, communications and tourism. With this GIS will be obtained some information in detail and visualization in the form of the mobile web (WAP), which can be used as a reference for decision-makers, especially in finding the location of existing public services in the town of Tuban. Keywords: GIS, geographic information systems, public services, WA

Spatial Bloom Filters: Enabling Privacy in Location-Aware Applications

The wide availability of inexpensive positioning systems made it possible to embed them into smartphones and other personal devices. This marked the beginning of location-aware applications, where users request personalized services based on their geographic position. The location of a user is, however, highly sensitive information: the user's privacy can be preserved if only the minimum amount of information needed to provide the service is disclosed at any time. While some applications, such as navigation systems, are based on the users' movements and therefore require constant tracking, others only require knowledge of the user's position in relation to a set of points or areas of interest. In this paper we focus on the latter kind of services, where location information is essentially used to determine membership in one or more geographic sets. We address this problem using Bloom Filters (BF), a compact data structure for representing sets. In particular, we present an extension of the original Bloom filter idea: the Spatial Bloom Filter (SBF). SBF's are designed to manage spatial and geographical information in a space efficient way, and are well-suited for enabling privacy in location-aware applications. We show this by providing two multi-party protocols for privacy-preserving computation of location information, based on the known homomorphic properties of public key encryption schemes. The protocols keep the user's exact position private, but allow the provider of the service to learn when the user is close to specific points of interest, or inside predefined areas. At the same time, the points and areas of interest remain oblivious to the user

Using consumer feedback from location-based services in PoI recommender systems for people with autism

When suggesting Points of Interest (PoIs) to people with autism spectrum disorders, we must take into account that they have idiosyncratic sensory aversions to noise, brightness and other features that influence the way they perceive places. Therefore, recommender systems must deal with these aspects. However, the retrieval of sensory data about PoIs is a real challenge because most geographical information servers fail to provide this data. Moreover, ad-hoc crowdsourcing campaigns do not guarantee to cover large geographical areas and lack sustainability. Thus, we investigate the extraction of sensory data about places from the consumer feedback collected by location-based services, on which people spontaneously post reviews from all over the world. Specifically, we propose a model for the extraction of sensory data from the reviews about PoIs, and its integration in recommender systems to predict item ratings by considering both user preferences and compatibility information. We tested our approach with autistic and neurotypical people by integrating it into diverse recommendation algorithms. For the test, we used a dataset built in a crowdsourcing campaign and another one extracted from TripAdvisor reviews. The results show that the algorithms obtain the highest accuracy and ranking capability when using TripAdvisor data. Moreover, by jointly using these two datasets, the algorithms further improve their performance. These results encourage the use of consumer feedback as a reliable source of information about places in the development of inclusive recommender systems

Creating and implementing a system of geolocation for physiotherapy services

The aim of this work was to create a geolocation system for Physiotherapy services. This system will enable Physiotherapists, Physiotherapy clinics and users to locate different Physiotherapy services according to the geographical location. The specific objectives were to create a model of indexing information for Physiotherapists based on their geolocation, personal data, areas of intervention and service agreements; creation of a model of information search; and implementation of a web service that allows indexing and information search of Physiotherapy services for both users and clinicians, based on this various parameters.There are many needs among decision makers regarding the modelling and presentation of health information for better understanding of the phenomena and better management of all resources. The geolocation (Web-based mapping) stands out as an important tool that allows users through systems like Google Maps or Yahoo Maps to access, acknowledge and manage services or monitoring diseases or epidemics. In the context of health care these systems allow a better allocation of resources by health systems as well as a selection and more informed choice by the users.The system methodology involved several stages: 1º Step: the list of requirements was create with the assistance of a group of Physiotherapists, it was determined the set of information considered useful to the end user when viewing the system, including: General information - Physiotherapist personal data, including relevant contacts; Clinical Information - refers to the types of available valances within Physiotherapy services; Administrative Information - refers to agreements and contracts with external entities. The definition of data took into account the end user, the vocabulary was adapted for Physiotherapists and users. 2º Step: Design, system architecture and the creation of the system interface, in both frontend and backend, we opted for the PHP language for the management system and MySQL for the database. 3º Step: The system was set up in a subdomain with its own web access in the last phase of implementation. Users of the system were divided into two types: User looking for Physiotherapy services - this includes patients and other Physiotherapists who refer their clients to other services and users seeking to advertise their Physiotherapy services - this includes Physiotherapists and clinics wishing to register their information on the system aiming to facilitate contacts.Several benefits of using this system were described, including easy management and availability of geographical information for patients and other health professionals, that could promote a possible decrease in costs, time and resources saving, both human and economic in health services access.Today, ICT are increasingly present in the practice of the Physiotherapist, covering new areas and putting at their disposal a wide range of solutions and tools for clinical practice. This system will enable Physiotherapists, Physiotherapy clinics and users to locate different Physiotherapy services, fostering an environment of increasingly shared and equal access to care facilities.N/

Intentions to Use Location-Based Services: Refining a Predictive Model and Understanding Contexts of Use

This thesis is concerned with the processes involved in the perception, adoption and use of location-based services (LBS). Location-based services are able to pinpoint the geographical position of an individual and are most often deployed on mobile devices. The capability for LBS to be integrated into other systems such as social networking sites is also growing. The focus of current LBS research is on the development of security measures to protect privacy. The actual privacy concerns of real LBS users, however, have not been considered. The work in this thesis examines location-based services from a user perspective. A previously untested predictive model of LBS was assessed, and shown to be unsuited to account for intentions to use the technology in a workplace setting. A revised and improved model is proposed that suggests four factors account for intentions: perceived usefulness, trust of the LBS provider, disclosure to employer and trust of the employer. This research investigated the types of location information that might be disclosed when using LBS, who the recipients might be, and how people categorise location information into meaningful clusters. Results showed that people have explicit LBS preferences, with the receiver of information and context playing a large role in determining disclosure. Three qualitative case studies aimed to understand implications of LBS use with different populations. Participants raised concerns about trustworthiness of their employer and knowledge of LBS providers, providing support for the theoretical model. These case studies suggest LBS could also successfully be applied to alternate user groups. These findings have important implications for LBS providers and industry. People have a desire to know who the LBS provider is and what role they will play. Making these issues explicit should improve trust and develop the user-LBS provider relationship. When implementing LBS in the workplace, consultation with employees and providing clear information may enhance trust of the employer

A study of neighbour selection strategies for POI recommendation in LBSNs

Location-based Recommender Systems (LBRSs) are gaining importance with the proliferation of location-based services provided by mobile devices as well as user-generated content in social networks. Collaborative approaches for recommendation rely on the opinions of liked-minded people, so called neighbors, for prediction. Thus, an adequate selection of such neighbors becomes essential for achieving good prediction results. The aim of this work is to explore different strategies to select neighbors in the context of a collaborative filtering based recommender system for POI (places of interest) recommendations. Whereas standard methods are based on user similarity to delimit a neighborhood, in this work several strategies are proposed based on direct social relationships and geographical information extracted from Location-based Social Networks (LBSNs). The impact of the different strategies proposed has been evaluated and compared against the traditional collaborative filtering approach using a dataset from a popular network as Foursquare. In general terms, the proposed strategies for selecting neighbors based on the different elements available in a LBSN achieve better results than the traditional collaborative filtering approach. Our findings can be helpful both to researchers in the recommender systems area as well as to recommender systems developers in the context of LBSNs, since they can take into account our results to design and provide more effective services considering the huge amount of knowledge produced in LBSNs.Fil: Rios, Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentin

Geographical analysis of rice production and storage in Mexico, 1980 – 2018

Objective: Geographically analyze the production and storage of rice in Mexico in a multi-temporal period 1980 to 2018, presenting cartography of the geographical location, storage centers, nodes, networks and areas of influence generated by rice production. Design / Methodology / Approach: Results: The statistical database of "Support and Services for Agricultural Marketing" (ASERCA) was used, as well as statistical information from the Agrifood and Fisheries Information Service (SIAP), as well as the cartographic base with the geographic information systems tool the vector database was digitized and integrated into a relational database for spatial analysis Results: Results of production, storage distribution network and the forecast of consumption, storage in Mexico 2030 are presented. Using the statistical base and representing it with Geographic Information Systems tools. Study limitations: It is necessary to perform a spatial analysis by State to determine a distance Isochrons and calculate planning scenarios. Findings / Conclusions: The geographical analysis of rice production in Mexico maintains a territorial organization of cultivation, distribution, storage and consumption, which locates economic activities based on geographic factors of the primary sector, generating patterns of location, dispersion and settlement of consumptionObjective: To analyze the production and storage of rice in Mexico, geographically and along 1980 to 2018; presenting cartography of the geographical location, rice storage centers, nodes, networks, and areas of influence generated by rice production. Design / Methodology / Approach: The statistical database of "Apoyos y Servicios a la Comercialización Agropecuaria" (ASERCA; a resource database to support agricultural marketing) was used, as well as statistical information from the Mexico’s information service “Servicio de Información Agroalimentaria y Pesquera, SIAP). Likewise, the cartographic basis for analysis was built in GIS. A vector database was digitized and integrated into a relational database for spatial analysis. Results: Results of production, storage, distribution network and the rice consumption-storage forecast for Mexico in 2030 are presented. Using the statistical base, depicted in a GIS projection. Limitations in the study: It is necessary to perform a spatial analysis per state to determine distance isochrons and to calculate planning scenarios. Findings / Conclusions: The geographical analysis of rice production in Mexico maintains a territorial organization of cultivation, distribution, storage and consumption, which locates economic activities based on geographical factors of the primary sector, generating some geographical patterns for rice production, such as location, distribution and consumption per human settlemen

SISTEM INFORMASI GEOGRAFIS PERSEBARAN RUMAH SAKIT DI PROVINSI SUMATERA SELATAN BERBASIS ANDROID

ABSTRA CT Geographical overview of the location and presence information scattered hospitals in the province of South Sumatra do not meet the criteria required by the community. Development of Geographic Information Systems (GIS) distribution of hospitals is an option yangdiharapkan able to provide solutions to the problems faced by the presentation of an integrated information from spatial data and nonspatial data, and the presentation yangdinamis for data.For editing process can generate application- based Geographic Information System This android required spatial data each hospital location for South Sumatra. Web-based Geographic Information System begins with data collection, then penganalisisisan data have been obtained, followed by development using a software program for the XAMPP local server and MySQL database with phpMyAdmin features in it, Notepad ++ for code generation process program, integration of data bases the Google Maps API to display a map, as well as checking browser views generated by the program code through a local server. Results obtained from application programming android based public health services that can be accessed on the site http://rsprov.esy.es to display the location and complex enough information presented through Google Maps API