Developing context-sensitive livability indicators for transportation planning: a measurement framework

Transportation Performance Management for Livability and Social Sustainability: Developing and Applying a Conceptual Framework

Indicators for Sustainable Transportation Planning

work of Abraham and Hunt (1, 2). PECAS combines concepts from traditional Walrasian (general equilibrium) economics with random utility theory. Random utility theory permits the representation of heterogeneous goods and actors with heterogeneous tastes in which the prices of goods vary by zone. The implementation of discrete choice theory by the use of logit equations also permits partial utili...

Accessibility Indicators for Transportation Planning Using GIS

In this paper a method to create GIS-based accessibility indicators is presented. The method allows to create person-by-person and store-by-store (disaggregate) accessibility indicators but also to derive zonal summary (aggregate) indicators that can be used in more traditional transportation planning applications. These indicators have also been used as explanatory variables in person-based tr...

A context-sensitive framework for lexical ontologies

Human categorization is neither a binary nor a context-free process. Rather, the criteria that govern the use and recognition of certain concepts may be satisfied to different degrees in different contexts. In light of this reality, the idealized, static structure of a lexical ontology like WordNet appears both excessively rigid and unduly fragile when faced with real texts that draw upon diffe...

A framework for context-sensitive metadata description

Expectations regarding the new generation of Web depend on the success of Semantic Web technology. Resource Description Framework (RDF) is a basis for explicit and machine-readable representation of semantics. However RDF is not suitable for describing dynamic and context-sensitive resources (eg. processes). We present the Context Description Framework (CDF) as an extension of the RDF by adding...