2019
DOI: 10.3390/su11143790
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Design and Validation of a Computational Program for Analysing Mental Maps: Aram Mental Map Analyzer

Abstract: Considering citizens’ perceptions of their living environment is very helpful in making the right decisions for city planners who intend to build a sustainable society. Mental map analyses are widely used in understanding the level of perception of individuals regarding the surrounding environment. The present study introduces Aram Mental Map Analyzer (AMMA), an open-source program, which allows researchers to use special features and new analytical methods to receive outputs in numerical data and analytical m… Show more

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Cited by 46 publications
(41 citation statements)
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“…Machine learning and deep learning methods have seen to tackle these shortcomings very well through their efficient computation and intelligence [24][25][26][27][28][29]. Only during the past few years, these methods have become very popular among the research communities [30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46].…”
Section: Introductionmentioning
confidence: 99%
“…Machine learning and deep learning methods have seen to tackle these shortcomings very well through their efficient computation and intelligence [24][25][26][27][28][29]. Only during the past few years, these methods have become very popular among the research communities [30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46].…”
Section: Introductionmentioning
confidence: 99%
“…In practice, this may be the case of an incremental process, where economic activities and mobility would gradually advance around the well-connected streets [85]. Finally, it can be said that paying attention to citizens' perceptions of their living environment is very useful in making the right decisions for urban planners who want to create a sustainable society [86]. Considering what was discussed above, it seems that, by increasing citizens' daily physical activity, the probability of suffering from obesity and, subsequently, cardiovascular diseases, diabetes and hypertension will decrease remarkably and citizens' general health will improve.…”
Section: General Healthmentioning
confidence: 99%
“…SPSS software was utilized, according to the statistical data obtained from the questionnaire to examine the significance of the data in three selected intersections, and also to examine the significance of the relationships between various indices with PTC [86,87]. In order to examine cognitive maps more accurately, AramMMA software was used [88]. In this program, all the cognitive maps were overlapped, and then according to the color spectrum, it determined which locations had the most point of reference ( Figure 5).…”
Section: Psychological Parametersmentioning
confidence: 99%