Mental Maps

Weston, Lisa M. C.; Handy, Susan

doi:10.1108/9781615832538-030

Cited by 14 publications

(5 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(2016) using only Wave 1 data from the same dataset as in this study. Therefore, for future studies, investigating the interaction between individuals’ activity locations and familiar areas dynamically would be a worthy objective, so as to discover whether there is any possible mutual relationship between them, as argued by Weston and Handy (2004). Based on the estimation results of the dynamic probit model, though familiar areas rely heavily on the previous wave of familiar areas, there is still variability in familiar areas that cannot be explained by it.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…Arguably, this spatial cognition and familiarity, in turn, influences a range of behaviours in the future, such as shaping individuals travel behaviour and travel patterns (Lynch, 1960). However, by travelling, individuals learn about the environment and add this new environmental information into their mental maps (Weston and Handy, 2004), thereby contributing to changes in their existing spatial cognition and familiarities. Thus, the relationships between an individual’s spatial cognition and spatial familiarities, on the one hand, and their activity-travel patterns, on the other, are two-fold.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

What construct one’s familiar area? A quantitative and longitudinal study

Zhang

Termida

Susilo

2017

Environment and Planning B: Urban Analytics and City Science

View full text Add to dashboard Cite

There is a lack of understanding of how certain characteristics of the urban environment influence an individual’s spatial cognition and familiarity with surrounding areas, and, subsequently, their travel behaviours and how these change over time. This paper aims to address this research gap in exploring the dynamics of individuals’ spatial cognitions by observing the changes of respondents’ familiar areas over time, and investigating the possible determinants that constitute respondents’ familiar areas. Panel data, containing two-week travel diaries and maps of familiar areas, were collected in four different waves over a seven-month period for 55 individuals in Stockholm, Sweden. The reported familiar areas for each individual were digitised into quantifiable variable form and further analysed by applying dynamic binary probit and linear regression models. The results show that, while familiar area is largely influenced by one’s previous knowledge of the area, it is also continuously corrected by events in between. Different land use characteristics have different impacts on different social groups’ travel patterns, thus contributing to the variability in the size of one’s familiar areas.

show abstract

Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

What construct one’s familiar area? A quantitative and longitudinal study

Zhang

Termida

Susilo

2017

Environment and Planning B: Urban Analytics and City Science

View full text Add to dashboard Cite

show abstract

“…A few scholars have suggested the importance of including cognitive mapping in travel choice models (2,3). For example, Golledge and Gärling state:…”

Section: Cognitive Maps Transportation Planning and Accessmentioning

confidence: 99%

“…The primary purpose of cognitive mapping is to enable individuals to make choices related to the spatial environment. Some transportation researchers have begun to engage with cognitive mapping, acknowledging that travel and transportation systems are influenced by, and themselves influence, spatial cognition (2,3).…”

mentioning

confidence: 99%

Cognitive Mapping, Travel Behavior, and Access to Opportunity

Mondschein

Blumenberg

Taylor

2006

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

In this paper we combine theoretical and empirical research on cognitive mapping with our own initial research on the topic to suggest how cognitive mapping might be employed to help us better understand and predict travel behavior, emphasizing how spatial cognition shapes access to opportunity. We argue that the path-based, cumulative process of spatial learning, during which the cognitive map develops primarily through wayfinding and travel experience, affects accessibility by determining whether and how destinations are encoded into a person's cognitive map. Variations in cognitive mapping, spatial knowledge, and resultant travel behavior can vary between individuals or among groups in systematic ways. Some of these differences are related directly to previous travel experience, including experience with various travel modes. Such variations in spatial knowledge can result in different levels of functional accessibility, despite ostensibly similar locations, demographics, and other factors commonly thought to influence travel behavior. Our initial survey of residents in three Los Angeles neighborhoods suggests that cognitive mapping is indeed influenced by neighborhood and travel mode experience, in addition to demographic characteristics. Such modally constructed cognitive maps, which are likely to vary systematically by both location and socioeconomic status, may affect perceptions of activity opportunities in ways that travel behavior researchers are only beginning to understand. To a carless job seeker, job opportunities not easily reached by transit are effectively out of reach and even transparent. Modally constructed cognitive maps, in other words, are key to understanding both travel behavior and accessibility in cities.

show abstract

“…On an individual level however, relationships between travel decisions and spatial characteristics are established through the individual's perception and cognition of space. This relationship is twofold (9): as an individual observes space, for instance through travel, the information is filed in the individual's mental map (spatial learning). Subsequently the mental map shapes -amongst others -the individual's travel decisions (travel planning), since it reflects individual knowledge and frame of mind concerning the environment and its transportation systems.…”

Section: Introductionmentioning

confidence: 99%

Destination Choice in Daily Activity Travel

Hannes

Janssens

Wets

2008

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

171 Text 6506 Figures 3 *250 = 750 Tables 0 *250 = 0 Total Word Count 7427 Hannes, Janssens and Wets 2 ABSTRACTIn order to improve the behavioral realism of activity-based travel demand models, a deeper understanding of individual's travel decision process is needed. Therefore, this research project aims at revealing the variety of critical spatial factors in an individual's mental map which influence daily activity travel (AT) behavior. A qualitative travel survey and in-depth interviews are used to identify spatial factors that appear in respondents' destination choice decisions when discussing their daily activity space. Recorded interviews are processed with specialized software for qualitative data analysis (ATLAS.ti). First, representative IF-THEN(-ELSE)-heuristics used by respondents are identified and framed within the daily AT decision process and classified in a script network view. In addition, occurring spatial elements are indicated. To conclude, this article suggests a new "script" approach to grasp the behavioral mechanisms present in daily AT decisions and argues that further research along this line would contribute to the understanding of the impact of travel demand measures (TDM) and its assessment in activitybased travel demand models by means of an agent-based computational process model.Hannes, Janssens and Wets 3

show abstract

Mental Maps

Cited by 14 publications

References 3 publications

What construct one’s familiar area? A quantitative and longitudinal study

What construct one’s familiar area? A quantitative and longitudinal study

Cognitive Mapping, Travel Behavior, and Access to Opportunity

Destination Choice in Daily Activity Travel

Contact Info

Product

Resources

About