Hierarchical Cluster Analysis of Multicenter Development and Travel Patterns in Istanbul

Özus, Evren; Akın, Darçın; Çiftçi, Murat

doi:10.1061/(asce)up.1943-5444.0000121

Cited by 20 publications

(12 citation statements)

References 30 publications

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“…We determined that conducting these analyses using smaller or larger grids would not be feasible. Cluster analysis is used in many research studies, including the wastewater treatment study byBayo and Castellanos (2016), who matched the similarities in the cluster analysis to principal factors to attain results, and the research conducted by Ozus et al (2012), who used a hierarchical cluster analysis to identify similar transportation behaviors among districts within Istanbul. As mentioned, agglomerative hierarchical cluster analysis is a widely used method, and unlike those used in other studies, this method is used in our research to identify how urban land use is distributed and determine the distribution of social infrastructure areas within the city grids.…”

Section: Methodsmentioning

confidence: 99%

“…Cluster analysis is a form of statistical analysis used for examining multivariate data with the objective being to uncover or discover groups or clusters that are similar to and different from each other (Everitt, 2005;Ozus, et al, 2012). Cluster analysis is linked to a correlation matrix; however, it can generally conduct analyses in different forms (Robinson, 1998).…”

Section: Agglomerative Hierarchical Analysismentioning

confidence: 99%

“…It is important to study land use development because it has a profound impact on options for future city development (Liu et al, 2014). This paper brings together, in a systematic way, the results of many recent studies on urban form, especially on land use (Ozus et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…The monitoring method is most prevalent in land use analyses. In their study, Ozus et al (2012) used cluster analysis to examine how travel demand shaped the spatial structure of Istanbul; however, land use that does not involve transportation is also important. We use a cluster analysis of land use patterns to demonstrate a more effective use of this method in planning.…”

Section: Introductionmentioning

confidence: 99%

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An Examination of Land Use in the Amasya Development Plan Through Cluster Analysis

Ergen¹

2019

Appl. Ecol. Env. Res.

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In this study, existing and future land use patterns were examined in the development plan for Amasya using hierarchical cluster analysis. To this end, the area encompassed by the Amasya development plan was partitioned into grids to examine their proximities and similarities to each other in terms of land use. In addition, linkages among the grids were investigated with respect to the land use patterns. Linkages among land use functions were determined in this research through cluster analysis. After exposing the similarities among the grids, the shortcomings with regard to the necessary social infrastructure within the grids were identified, and the requirements of similar urban development approaches to grids with similar characteristics were described. This paper emphasizes the need for healthy, sustainable development and a planned and balanced distribution of social infrastructure in urban development plans.

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Section: Methodsmentioning

confidence: 99%

Section: Agglomerative Hierarchical Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Examination of Land Use in the Amasya Development Plan Through Cluster Analysis

Ergen¹

2019

Appl. Ecol. Env. Res.

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“…China's studies on the coordination degree between population and eco-environment mostly use the coupling coordination model to measure the degree of coordination between systems or elements. Principal component analysis (pca) [12,13], the gray correlation degree [14], hierarchical analysis method [15][16][17][18][19], TOPSIS method [20], etc. are widely adopted and classified according to rank to measure issues related to social development.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Variance of Coupling Relationship between Population Modernization and Eco-Environment in Beijing-Tianjin-Hebei

Mao

2019

Sustainability

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Steady population growth promotes economic and societal progress, and the symbiotic coordination between the ecological environment and the local population is the necessary requirement for realizing sustainability. We used population modernization and ecological environment data of the Beijing-Tianjin-Hebei from 2005 to 2016 to construct two index systems. We used the variation coefficient method, the coupling degree model, and a geographical detector to analyze the coordination degree of population modernization and the ecological environment. The results showed that: (1) From 2005 to 2016, the coupling degree was stable at a high level, the degree of coordination increased, and the growth rate decreased; (2) From the perspective of spatial distribution, the types of good harmony and high harmony were located in the middle, eastern, and western regions. The adjacent disorder and moderate disorder regions were distributed in the north and south sides; (3) Through influence detection, we found the main factors that influenced the spatial distribution of coordination degree were the natural population growth rate, health technicians/10,000 people, etc. These factors had some characteristics of space-time heterogeneity. Such results can contribute to the understanding of characteristics of population-environment development in different regions, promoting sustainable development of regional environment in Beijing-Tianjin-Hebei.

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Voting with one's feet: Unraveling urban centers attraction using visiting frequency

Cats

Ferranti

2022

Cities

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Hierarchical Cluster Analysis of Multicenter Development and Travel Patterns in Istanbul

Cited by 20 publications

References 30 publications

An Examination of Land Use in the Amasya Development Plan Through Cluster Analysis

An Examination of Land Use in the Amasya Development Plan Through Cluster Analysis

Spatial-Temporal Variance of Coupling Relationship between Population Modernization and Eco-Environment in Beijing-Tianjin-Hebei

Voting with one's feet: Unraveling urban centers attraction using visiting frequency

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