Tracking the Salzburg tourist

Keul, Alexander; Kühberger, Anton

doi:10.1016/s0160-7383(97)00038-8

Cited by 45 publications

(27 citation statements)

References 6 publications

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“…4,18] and the information has been used in planning and managing attractions. Lew and McKercher [21] identified movement patterns varying from point-to-point travel to more opportunistic exploratory paths.…”

Section: Understanding Tourists' Exploratory Travelmentioning

confidence: 99%

Phases of Urban Tourists' Exploratory Navigation

Vaittinen

McGookin

2016

Proceedings of the 2016 ACM Conference on Designing Interactive Systems

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There is a lack of widely available mobile map applications that effectively support pedestrian tourists who prefer the freedom of exploring their surroundings, and might not have an explicit destination they are trying to reach in mind. Although research systems to support such exploratory navigation have been developed, these are often only studied in controlled trials. It is therefore unclear if researchers are covering all types of navigation tourists do. To get a comprehensive picture of tourists' navigation, we carried out a field study with 16 tourists, shadowing them during part of their visit to Helsinki. Our findings support designers of mobile applications by describing the phases and dynamics of exploration and wayfinding, as well as how existing popular navigation tools are used during exploration. The phases contribute towards a framework for assessing existing tools and developing new ones to cover all navigation activities tourists undertake. We present 5 design implications to support creating tools that take into account the real-world insights collected in the study.

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Section: Understanding Tourists' Exploratory Travelmentioning

confidence: 99%

Phases of Urban Tourists' Exploratory Navigation

Vaittinen

McGookin

2016

Proceedings of the 2016 ACM Conference on Designing Interactive Systems

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“…These findings, it should be noted, match those obtained by other similar studies, which also analyzed the spatial behavior of tourists in small historical areas (Dietvorst 1995; Shoval and Raveh 2004). For example, according to Keul and Küheberger (1997), personal preferences, goals, and plans, all of which play in important part in fixing most tourists' itineraries, are of little relevance when it comes to determining their activities on‐site (1011). Indeed, tourists visiting Old Salzburg behave, as Keul and Küheberger have shown, in a manner remarkably similar to, even typical of, visitors exploring macroscale, open air museums or shoppers perusing the aisles of a supermarket: two highly regulated environments.…”

Section: Resultsmentioning

confidence: 99%

Sequence Alignment as a Method for Human Activity Analysis in Space and Time

Shoval

Isaacson

2007

Annals of the Association of American Geographers

194

128

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This article introduces the method of sequence alignment as a tool for analyzing the sequential aspects within the temporal and spatial dimensions of human activities. Sequence alignment was first developed during the 1980s and employed by biochemists to analyze DNA sequences. Toward the end of the 1990s it was adapted for use in the social sciences. However, unlike other social sciences practitioners, geographers have not, until now, exploited this method. In contrast to traditional quantitative methods, sequence alignment, as its name suggests, is directly concerned with the order (sequence) of events, and is therefore well suited for the pursuit of timegeographic research. To demonstrate the merits of sequence alignment for geographic research, a database composed of forty space-time sequences of visitors who had visited the Old City of Akko (Israel) was used. The sequences were obtained by means of GPS devices, which were distributed among the visitors tracked and which they operated for the duration of their visit to the city. The sequences thereby obtained were aligned using ClustalG, a sequence alignment computer program. The result of this analysis was the identification of three temporal-spatial time geographies of the visitors that were sampled in this study.

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“…Many investigations concerning the collection of data on pedestrian route choice use questionnaire survey techniques. Inquiries represent one of the most important data collection techniques in transportation studies and belong to the first methods of data collection that have been applied in human spatio-temporal behaviour research (Hill 1984, Keul andKu¨hberger 1997). They provide detailed information concerning route decisions and individual habits, motives and intentions (Blivice 1974).…”

Section: Common Empirical Methods In Pedestrian Behaviour Monitoringmentioning

confidence: 99%

Identifying motion and interest patterns of shoppers for developing personalised wayfinding tools

Millonig

Gärtner

2010

Journal of Location Based Services

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The development of wayfinding and information tools for pedestrians faces several challenges. In contrast to common navigation tools used for vehicles, navigation services for pedestrians must fulfil more complex requirements in order to be accepted. For pedestrians, the shortest path does not always represent the optimal route for an individual's purposes, as studies have revealed that people often forgo to take the shortest path and prefer the 'most beautiful', 'most convenient' or 'safest' path. People exploring a new environment on foot would therefore especially benefit from systems providing information concerning route qualities, interesting facilities in the vicinity and other useful location-related suggestions. As part of the scientific project 'UCPNavi', we investigate group-specific spatio-temporal behaviour and related influence factors of shoppers in order to identify homogeneous behaviour types based on motion patterns and information requirements. We use an eclectic approach combining several complementary empirical methods of data collection and analysis to thoroughly comprehend pedestrian spatio-temporal behaviour. In this contribution, we present results of motion and interview data analysis based on data collected from more than 100 participants during two empirical phases on a shopping street in Vienna. We further introduce an initial pedestrian typology comprising five different homogeneous behaviour types based on qualitative-interpretative and quantitative-statistical data. Types are described according to characteristic attributes identified by route choice behaviour, walking patterns and interest foci. The relevant factors include velocities, stopping behaviour, categories of visited facilities and individual preferences. The resulting typology of lifestyle-based pedestrian mobility styles and the identified characteristic attributes can serve as a basis to create pedestrian interest profiles in ubiquitous environments and to customise navigational and environmental information for mobile applications in order to fulfil individual needs.

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Tracking the Salzburg tourist

Cited by 45 publications

References 6 publications

Phases of Urban Tourists' Exploratory Navigation

Phases of Urban Tourists' Exploratory Navigation

Sequence Alignment as a Method for Human Activity Analysis in Space and Time

Identifying motion and interest patterns of shoppers for developing personalised wayfinding tools

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