The Business of Maps

2019 ◽  
pp. 45-65
Author(s):  
Rowan Wilken
Keyword(s):  
Interesting Case ◽  
Location Based Services ◽  
The Political ◽  
Prior Work ◽  
Location Services ◽  
Mobile Location ◽  
Major Player ◽  
Rival Firms ◽  
Revenue Models ◽  
Mobile Maps

This chapter builds on prior work on the political economy of location-based services to examine the business of mobile maps, asking the following questions: Who controls maps data? What are these data? Where do these data come from? What is their quality? What does it take to build new mobile maps? What are the motivations for wanting to build new maps? And what are the business and revenue models associated with these maps? The focus of this chapter is an examination of the efforts of one of Google’s key rival firms—Apple—and its struggles to build mapping capacity of its own at sufficient quality to be able to lessen (if not entirely break from) its reliance on Google. Apple presents an interesting case in that, as is well known, it is a major player in other areas of the mobile location services ecosystem, yet took industry pundits by surprise when it announced Apple Maps in 2012.

Towards a Classification Framework for Mobile Location Based Services

2011 ◽  
pp. 67-85 ◽  
Author(s):  
George M. Giaglis ◽  
Panos Kourouthanassis ◽  
Argiros Tsamakos
Keyword(s):  
Business Models ◽  
New Technologies ◽  
Geographical Location ◽  
Mobile User ◽  
Location Based Services ◽  
Location Services ◽  
Mobile Location ◽  
Classification Framework ◽  
Future Potential ◽  
Pricing Schemes

The emerging world of mobile commerce is characterized by a multiplicity of exciting new technologies, applications, and services. Among the most promising ones will be the ability to identify the exact geographical location of a mobile user at any time. This ability opens the door to a new world of innovative services, which are commonly referred to as Mobile Location Services (MLS). This chapter aims at exploring the fascinating world of MLS, identifying the most pertinent issues that will determine its future potential, and laying down the foundation of a new field of research and practice. The contribution of our analysis is encapsulated into a novel classification of mobile location services that can serve both as an analytical toolkit and an actionable framework that systemizes our understanding of MLS applications, underlying technologies, business models, and pricing schemes.

Location Services Ecosystems

2019 ◽  
pp. 25-44
Author(s):  
Rowan Wilken
Keyword(s):  
Location Based Services ◽  
Location Services ◽  
Mobile Location ◽  
Locative Media ◽  
Constituent Species ◽  
Different Parts

What precisely is meant by location-based services (as opposed to locative media, more narrowly defined)? And, how might one give shape to and begin to discuss location-based services as an industry? Taking an ecosystems approach, the aims of this chapter are to highlight the diversity of the location-based services ecosystem; give form and shape to this ecosystem; describe some of the constituent “species” (the key corporate players that occupy this ecosystem); detail the ways that the different parts of this ecosystem work together; and detail how the mobile location ecosystem intersects and interacts with a range of other (often much larger) interconnected ecosystems.

Research on OpenLS-Based Mobile Location Service Platform

2010 ◽  
Vol 121-122 ◽  
pp. 722-727
Author(s):  
Chi Jun Zhang ◽  
Zheng Xuan Wang ◽  
Yong Jian Yang
Keyword(s):  
Large Scale ◽  
Location Based Services ◽  
Service Platform ◽  
Location Services ◽  
Domestic Industry ◽  
Mobile Location ◽  
Location Service ◽  
Navigation Algorithm ◽  
Location Algorithm ◽  
Path Navigation

Currently, LBS (Location-based Services) as a new emerging business which is based on mobile communication network is becoming more and more popular. However domestic industry is lack of perfect location service platform and standards because of the complexity and large scale of LBS. Aimed at the cases, the architecture of mobile location service (MLS) platform based on OpenLS (OpenGIS® Location Services) standards is constructed in the paper, and makes it accord with the international standard. Moreover GIS (Geographic Information System) middleware model is also proposed in the paper. We encapsulate the secondary location algorithm and path navigation algorithm into GIS middleware and present four standard interfaces, which could support distributed management and improves the portability of the platform.

scholarly journals Location-Based Services

2011 ◽  
pp. 268-278 ◽  
Author(s):  
Joe Astroth
Keyword(s):  
Market Potential ◽  
Location Based Services ◽  
Wireless Data ◽  
Location Services ◽  
Key Technology ◽  
Data Services ◽  
Successful Model ◽  
Revenue Models ◽  
Insight Into

This chapter provides an overview of location-based services and insight into the pivotal importance of location-sensitivity to the success of wireless data services. This chapter argues that mass-market adoption of wireless data services will only occur if these services enhance productivity and/or convenience for end-users; transforming novelty into a “must-have.” It is the author’s view that m-commerce is inextricably linked to location and that the incorporation of location-sensitivity will transform these transactions into a relevant, personalized and actionable experience for the user, thereby encouraging the kind of uptake required to fulfill market potential and bring revenue to carriers. The author will provide examples of location-sensitive wireless data servces in consumer and enterprise environments. A specific case study showcasing a next generation solution jointly developed by TargaSys, a division of Fiat Auto and Autodesk Location Services will describe key elements of a successful model for location-based services. Future directions, revenue models, and key technology enablers for successful deployment will also be discussed.

2018 Fiji Election Results: Patterns of Voting by Provinces, Rural-Urban Localities, and by Candidates

2020 ◽  
Vol 40 (2) ◽  
Author(s):  
Haruo Nakagawa
Keyword(s):  
Political Parties ◽  
Electoral System ◽  
Interesting Case ◽  
The Political ◽  
Quantitative Analyses ◽  
Election Results

Akin to the previous, 2014 event, with no data on voter ethnicity, no exit polls, and few post-election analyses, the 2018 Fiji election results remain something of a mystery despite the fact that there had been a significant swing in voting in favour of Opposition political parties. There have been several studies about the election results, but most of them have been done without much quantitative analyses. This study examines voting patterns of Fiji’s 2018 election by provinces, and rural-urban localities, as well as by candidates, and also compares the 2018 and 2014 elections by spending a substantial time classifying officially released data by polling stations and individual candidates. Some of the data are then further aggregated according to the political parties to which those candidates belonged. The current electoral system in Fiji is a version of a proportional system, but its use is rare and this study will provide an interesting case study of the Open List Proportional System. At the end of the analyses, this study considers possible reasons for the swing in favour of the Opposition.

User Assessment as Input for Useful Geospatial Representations within Mobile Location-Based Services

2007 ◽  
Vol 11 (2) ◽  
pp. 283-309 ◽  
Author(s):  
Karen Wealands ◽  
Peter Benda ◽  
Suzette Miller ◽  
William E Cartwright
Keyword(s):  
Location Based Services ◽  
Mobile Location ◽  
User Assessment

scholarly journals Yemen Crisis after 2015: The Attitudes of Saudi Arabia and the United Arab Emirates

2021 ◽  
Vol 39 (69) ◽  
pp. 717-734
Author(s):  
Seyedmohammad Seyedi Asl ◽  
Hazar Leylanoğlu ◽  
Ataollah Bahremani ◽  
Shalaleh Zabardastalamdari
Keyword(s):  
Saudi Arabia ◽  
United Arab Emirates ◽  
Decisive Role ◽  
The Political ◽  
Major Player ◽  
Local Actors ◽  
Contradictory Behavior ◽  
Main Factors ◽  
Crown Prince

In this study, using the descriptive-analytical method, we discuss the main factors in the formation of the Yemen crisis, as well as the attitudes of the two Arab states and of the two neighboring countries, Saudi Arabia, and the United Arab Emirates, in the Yemen crisis. It is concluded that this crisis stems not only from the role of local actors, but also from the role of regional and global actors, who played a decisive role in shaping and exacerbating the Yemen crisis. Regional players in the post-2015 crisis include the United Arab Emirates and Saudi Arabia, which showed contradictory behavior. Saudi Arabia's targets in its attack on Yemen have a greater military and security dimension. The political and economic objectives of the United Arab Emirates, which is Riyadh's most important ally in this war, have been at a different level from those of Saudi Arabia. This can be seen in Abu Dubai Crown Prince Mohammed bin Zayed's aspirations to expand his country's influence, to become a major player in the region.

Mobile Location Based Services

2014 ◽  
pp. 214-227
Author(s):  
Hee Jhee Jiow
Keyword(s):  
Mobile Network ◽  
Location Based Services ◽  
Mobile Service ◽  
Positioning System ◽  
System Technology ◽  
Mass Market ◽  
Mobile Location ◽  
Global Positioning ◽  
The World ◽  
Evolution Of Technology

Mobile Location Based Services (MLBS) have been in operation since the 1970s. Conceived initially for military use, the Global Positioning System technology was later released to the world for other applications. As usage of the technology increased, mobile network points, developed by mobile service operators, supplemented its usage in various applications of MLBS. This chapter charts the trajectory of MLBS applications in the mass market, afforded by the evolution of technology, digital, and mobility cultures. Assimilating various MLBS classifications, it then situates examples into four quadrants according to the measures of user-position or device-position focus, and alert-aware or active-aware applications. The privacy implications of MLBS are captured on the economic, social, and political fronts, and its future is discussed.

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