\u27Asking Directions’ and Pedestrian Wayfinding

This paper reports a study of the social ecology and systemic aspects of asking for directions in an urban area. Interviews were conducted with 100 randomly selected pedestrians at spatially stratified locations representing a variety of urban environments in Lincoln, Nebraska. The interviewer, posing as a lost pedestrian, asked respondents to give directions to local landmarks and then unobtrusively recorded their responses on a concealed tape recorder. Respondents generally provided accurate, distance-conserving directions with low levels of spatial complexity. Responses were friendly and often tailored to the unique environmental attributes characterizing each location. An outline of the process whereby a pedestrian asks for and receives directions is developed. The process is characterized as a system, here called a Pedestrian-to-Pedestrian Asking/Receiving Directions Sequence, with five essential elements: informants, origin/destination knowledge, route construction, information transfer, and user implementation. Several unanswered questions about these sequences are presented as a stimulus to future investigations

\u27Asking Directions’ and Pedestrian Wayfinding

This paper reports a study of the social ecology and systemic aspects of asking for directions in an urban area. Interviews were conducted with 100 randomly selected pedestrians at spatially stratified locations representing a variety of urban environments in Lincoln, Nebraska. The interviewer, posing as a lost pedestrian, asked respondents to give directions to local landmarks and then unobtrusively recorded their responses on a concealed tape recorder. Respondents generally provided accurate, distance-conserving directions with low levels of spatial complexity. Responses were friendly and often tailored to the unique environmental attributes characterizing each location. An outline of the process whereby a pedestrian asks for and receives directions is developed. The process is characterized as a system, here called a Pedestrian-to-Pedestrian Asking/Receiving Directions Sequence, with five essential elements: informants, origin/destination knowledge, route construction, information transfer, and user implementation. Several unanswered questions about these sequences are presented as a stimulus to future investigations

What spatial environments mean

Language is one of the most prominent means of representing human thought. Spatial cognition research has made use of this fact for decades, exploring how humans perceive and understand their spatial environments through language analysis. So far, this research has mainly focused on generic cognitive aspects underlying everyday purposes such as knowing where objects are, how they relate to each other, and how to find one\u27s way to a familiar or unfamiliar location. However, human concepts about space can be threatened by change, as the environment changes. Across the globe, people become increasingly aware of climate-change related threats to their surroundings. For spatial language research, this calls for a fundamental shift in focus, towards the ways in which humans relate to space meaningfully--what spatial environments mean to us, how we respond to them and how we cope with changes and threats to our habitual space. This paper lays out how linguistic research can support building resilience on the basis of meaningful relationships to spatial environments

The Tourist Culture Nexus: Occurrence, Advantages, Sustainability

This article investigates the concept of tourist culture in three island cases. Fieldwork and qualitative depth interviews of key stakeholders are used to identify and describe. Tourist culture is identified through artefacts and practises that are shown to be stimulated, reinterpreted and created as a result of interactions between hosts and guests, both of whom are shown to have distinct cultures of their own. Tourist culture is thus described as a nexus between. A range of benefits are identified. These may be associated with overall sustainability of tourism. Yet findings highlight that tourist culture evolution is affected by stage and scale of tourism development and may therefore need careful management if it is to be established and maintained

Challenges for the future of smart cities from a gender perspective

About the ways in which the genre of the subject modifies the conceptions and representations of (public) spac

Hierarchical Graphs as Organisational Principle and Spatial Model Applied to Pedestrian Indoor Navigation

In this thesis, hierarchical graphs are investigated from two different angles – as a general modelling principle for (geo)spatial networks and as a practical means to enhance navigation in buildings. The topics addressed are of interest from a multi-disciplinary point of view, ranging from Computer Science in general over Artificial Intelligence and Computational Geometry in particular to other fields such as Geographic Information Science. Some hierarchical graph models have been previously proposed by the research community, e.g. to cope with the massive size of road networks, or as a conceptual model for human wayfinding. However, there has not yet been a comprehensive, systematic approach for modelling spatial networks with hierarchical graphs. One particular problem is the gap between conceptual models and models which can be readily used in practice. Geospatial data is commonly modelled - if at all - only as a flat graph. Therefore, from a practical point of view, it is important to address the automatic construction of a graph hierarchy based on the predominant data models. The work presented deals with this problem: an automated method for construction is introduced and explained. A particular contribution of my thesis is the proposition to use hierarchical graphs as the basis for an extensible, flexible architecture for modelling various (geo)spatial networks. The proposed approach complements classical graph models very well in the sense that their expressiveness is extended: various graphs originating from different sources can be integrated into a comprehensive, multi-level model. This more sophisticated kind of architecture allows for extending navigation services beyond the borders of one single spatial network to a collection of heterogeneous networks, thus establishing a meta-navigation service. Another point of discussion is the impact of the hierarchy and distribution on graph algorithms. They have to be adapted to properly operate on multi-level hierarchies. By investigating indoor navigation problems in particular, the guiding principles are demonstrated for modelling networks at multiple levels of detail. Complex environments like large public buildings are ideally suited to demonstrate the versatile use of hierarchical graphs and thus to highlight the benefits of the hierarchical approach. Starting from a collection of floor plans, I have developed a systematic method for constructing a multi-level graph hierarchy. The nature of indoor environments, especially their inherent diversity, poses an additional challenge: among others, one must deal with complex, irregular, and/or three-dimensional features. The proposed method is also motivated by practical considerations, such as not only finding shortest/fastest paths across rooms and floors, but also by providing descriptions for these paths which are easily understood by people. Beyond this, two novel aspects of using a hierarchy are discussed: one as an informed heuristic exploiting the specific characteristics of indoor environments in order to enhance classical, general-purpose graph search techniques. At the same time, as a convenient by- product of this method, clusters such as sections and wings can be detected. The other reason is to better deal with irregular, complex-shaped regions in a way that instructions can also be provided for these spaces. Previous approaches have not considered this problem. In summary, the main results of this work are: • hierarchical graphs are introduced as a general spatial data infrastructure. In particular, this architecture allows us to integrate different spatial networks originating from different sources. A small but useful set of operations is proposed for integrating these networks. In order to work in a hierarchical model, classical graph algorithms are generalised. This finding also has implications on the possible integration of separate navigation services and systems; • a novel set of core data structures and algorithms have been devised for modelling indoor environments. They cater to the unique characteristics of these environments and can be specifically used to provide enhanced navigation in buildings. Tested on models of several real buildings from our university, some preliminary but promising results were gained from a prototypical implementation and its application on the models

Personal Wayfinding Assistance

We are traveling many different routes every day. In familiar environments it is easy for us to find our ways. We know our way from bedroom to kitchen, from home to work, from parking place to office, and back home at the end of the working day. We have learned these routes in the past and are now able to find our destination without having to think about it. As soon as we want to find a place beyond the demarcations of our mental map, we need help. In some cases we ask our friends to explain us the way, in other cases we use a map to find out about the place. Mobile phones are increasingly equipped with wayfinding assistance. These devices are usually at hand because they are handy and small, which enables us to get wayfinding assistance everywhere where we need it. While the small size of mobile phones makes them handy, it is a disadvantage for displaying maps. Geographic information requires space to be visualized in order to be understandable. Typically, not all information displayed in maps is necessary. An example are walking ways in parks for car drivers, they are they are usually no relevant route options. By not displaying irrelevant information, it is possible to compress the map without losing important information. To reduce information purposefully, we need information about the user, the task at hand, and the environment it is embedded in. In this cumulative dissertation, I describe an approach that utilizes the prior knowledge of the user to adapt maps to the to the limited display options of mobile devices with small displays. I focus on central questions that occur during wayfinding and relate them to the knowledge of the user. This enables the generation of personal and context-specific wayfinding assistance in the form of maps which are optimized for small displays. To achieve personalized assistance, I present algorithmic methods to derive spatial user profiles from trajectory data. The individual profiles contain information about the places users regularly visit, as well as the traveled routes between them. By means of these profiles it is possible to generate personalized maps for partially familiar environments. Only the unfamiliar parts of the environment are presented in detail, the familiar parts are highly simplified. This bears great potential to minimize the maps, while at the same time preserving the understandability by including personally meaningful places as references. To ensure the understandability of personalized maps, we have to make sure that the names of the places are adapted to users. In this thesis, we study the naming of places and analyze the potential to automatically select and generate place names. However, personalized maps only work for environments the users are partially familiar with. If users need assistance for unfamiliar environments, they require complete information. In this thesis, I further present approaches to support uses in typical situations which can occur during wayfinding. I present solutions to communicate context information and survey knowledge along the route, as well as methods to support self-localization in case orientation is lost

Timing of Pedestrian Navigation Instructions

During pedestrian navigation in outdoor urban environments we often utilize assistance systems to support decision-making. These systems help wayfinders by providing relevant information withing the context of their surroundings, e.g., landmark-based instructions of the type "turn left at the church". Next to the instruction type and content, also the timing of the instruction must be considered in order to facilitate the wayfinding process. In this work we present our findings concerning the user and environmental factors that have an impact on the timing of instructions. We applied a survival analysis on data collected through an experiment in a realistic virtual environment in order to analyze the expected distance to the decision point until instructions are needed. The presented results can be used by navigation systems for instruction timing based on the characteristics of the current wayfinder and environment