6,500 research outputs found
A Framework for Integrating Transportation Into Smart Cities
In recent years, economic, environmental, and political forces have quickly given rise to “Smart Cities” -- an array of strategies that can transform transportation in cities. Using a multi-method approach to research and develop a framework for smart cities, this study provides a framework that can be employed to: Understand what a smart city is and how to replicate smart city successes; The role of pilot projects, metrics, and evaluations to test, implement, and replicate strategies; and Understand the role of shared micromobility, big data, and other key issues impacting communities.
This research provides recommendations for policy and professional practice as it relates to integrating transportation into smart cities
A Tutorial on Geographic Information Systems: A Ten-year Update
This tutorial provides a foundation on geographic information systems (GIS) as they relate to and are part of the IS body of knowledge. The tutorial serves as a ten-year update on an earlier CAIS tutorial (Pick, 2004). During the decade, GIS has expanded with wider and deeper range of applications in government and industry, widespread consumer use, and an emerging importance in business schools and for IS. In this paper, we provide background information on the key ideas and concepts of GIS, spatial analysis, and latest trends and on the status and opportunities for incorporating GIS, spatial analysis, and locational decision making into IS research and in teaching in business and IS curricula
INFORMATION FLOWS IN CIRCULAR ECONOMY PRACTICES
Recently, other disciplines and scientific communities discuss the Circular Economy paradigm as a key vehicle to establish more sustainable production and consumption patterns by decoupling eco-nomic output and emissions. Conversations about information system solutions for sustainable pro-duction and consumption, however, remain notably absent in the Information Systems research community. We develop a taxonomy of information flows relevant for the successful application of Circular Economy practices. Drawing on conceptual and empirical data, we categorized nine Circu-lar Economy practices based on their underlying material flow networks and identified four classes of information flows that enable the proper functioning of these practices. Our work (a) provides a conceptual foundation for Circular Economy-related conversations within the Information Systems research community, (b) stimulates future solution-oriented Information Systems research for envi-ronmentally sustainable production and consumption, and (c) strengthens inter-disciplinary re-search
Microtheories for SDI - Accounting for diversity of local conceptualisations at a global level
Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.The categorization and conceptualization of geographic features is fundamental to cartography,
geographic information retrieval, routing applications, spatial decision support
and data sharing in general. However, there is no standard conceptualization of
the world. Humans conceptualize features based on numerous factors including cultural
background, knowledge, motivation and particularly space and time. Thus, geographic
features are prone to multiple, context-dependent conceptualizations reflecting local
conditions. This creates semantic heterogeneity and undermines interoperability. Standardization
of a shared definition is often employed to overcome semantic heterogeneity.
However, this approach loses important local diversity in feature conceptualizations and
may result in feature definitions which are too broad or too specific. This work proposes
the use of microtheories in Spatial Data Infrastructures, such as INSPIRE, to account
for diversity of local conceptualizations while maintaining interoperability at a global
level. It introduces a novel method of structuring microtheories based on space and
time, represented by administrative boundaries, to reflect variations in feature conceptualization.
A bottom-up approach, based on non-standard inference, is used to create
an appropriate global-level feature definition from the local definitions. Conceptualizations
of rivers, forests and estuaries throughout Europe are used to demonstrate how
the approach can improve the INSPIRE data model and ease its adoption by European
member states
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