Land Value Analysis Using Space Syntax and GWR

Kim, Hye-Young; Chulmin, Jun

doi:10.11108/kagis.2012.15.2.035

Cited by 12 publications

(5 citation statements)

References 1 publication

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“…According to Crawford (2009), “spatial dependence” refers to the degree of spatial autocorrelation between independently measured values observed in geographical space. On the other hand, “spatial heterogeneity” means having different spatial characteristics in different geographical spaces (Longley and Tobón, 2004; Kim and Jeon, 2012). Spatial lag model (SLM) is a spatial regression model in which spatial autocorrelation exists only in dependent variables (Choi and Byeon, 2016), and only “space dependence” can be considered, while the GWR geographic weighted regression model can solve both spatial effects of dependence and heterogeneity (Kwon and Son, 2017).…”

Section: Methodsmentioning

confidence: 99%

Analyzing the Factors that Affect and Predict Employment Density Using Spatial Machine Learning: The Case Study of Seoul, South Korea

Ahn

Kwon

2023

Geographical Analysis

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There is a regional disparity in the employment density of Seoul. Considering problems such as traffic congestion and jobs‐housing imbalance, it is important to understand the spatial pattern of employment density and identify key influencing factors to determine the changes in the future urban spatial structure. This study analyzed employment density in each region of Seoul to derive important predictors. We examined the spatial patterns of employment density and evaluated the effects of spatial and nonspatial factors based on the general model and the spatial heterogeneity model. To predict the distribution of employment density, we used two statistical models (i.e., ordinary least squares regression [OLS] and geographically weighted regression [GWR] models) and two machine learning models (i.e., the random forest [RF] and geographically weighted random forest [GWRF] models). The results showed that the key influencing factors were the number of corporate business companies, number of main and attraction facilities, accessibility to subway stations, areas of commercial and industrial districts, and distance to business districts.

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Section: Methodsmentioning

confidence: 99%

Analyzing the Factors that Affect and Predict Employment Density Using Spatial Machine Learning: The Case Study of Seoul, South Korea

Ahn

Kwon

2023

Geographical Analysis

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“…The procedure to generate the convex map involves taking a given spatial structure and partitioning it into a set of "fewest and fattest" convex spaces. The procedure for generating the convex maps is iterative, starting with the identification of the fattest of the convex spaces and then progressively identifying the next largest one until the entire area is subdivided into a set of convex spaces (Kim, Jun, Cho, & Kim, 2008). As with VGA, convex spaces that are one step away from the root space are at depth 1, those two steps was at depth 2 and so on.…”

Section: Aplication Of Convex Map Analysismentioning

confidence: 99%

A comparative study on spatial configuration of human settlements in Riparian Area (Case studies : Old Kampoong and Colonial Settlements in Palembang

Adiyanto

Romdhoni

Warlika

2017

IJPS

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Palembang is the city which is divided by Musi River. Palembang is also one of the oldest city in Indonesia. Many old settlements were built in riparian area. This geographic condition of Palembang becomes background of this research. The research questions are: what is the discrepancy between Kampoong and Colonial Settlements in spatial configuration? Does the Musi River have influence in spatial configuration on that case? This research using the space syntax analysis with the following three steps of analysis: convex map analysis, axial map analysis and visibility graph analysis. For case studies, this research names two different settlements: old Kampoong (3-4 Ulu and 10 Ulu) and Colonial settlements (Komperta Plaju and Komperta Bagus Kuning) and we use Kampung Kapitan (7 Ulu) for the comparation. As the result of this research shows that between Kampoong and Colonial Settlements have some discrepancies in spatial configuration. In Kampoong, they have a small 'void space', many streets between houses and the organic patterns. In Colonial settlements, the spatial configuration is planned well with grid pattern. In context influences of Musi River to the settlements, only Bagus Kuning complex that has a closed relationship with rivers because those settlements have a connection between inner 'void space' with riparian 'void space'.

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“…The second line of inquiry includes recent work from Kim et al (2008) and Thill et al (2011) which demonstrates the calculation of accessibility measures in buildings by considering human movement. They both use a different methodology, with Kim et al (2008) buttressing up their method with the space syntax theory; while Thill et al (2011) employ a traditional gravity-based model.…”

Section: Analogies and Differences With Accessibility Measuresmentioning

confidence: 99%

“…They both use a different methodology, with Kim et al (2008) buttressing up their method with the space syntax theory; while Thill et al (2011) employ a traditional gravity-based model. Apart from their incorporation in a three-dimensional built environment, both approaches calculate the accessibility of a single spatial unit with regard to pedestrian movement under non-emergency situations, while in our research, exitability is measured under evacuation scenarios.…”

Section: Analogies and Differences With Accessibility Measuresmentioning

confidence: 99%

Measuring the exitability of buildings: A new perspective on indoor accessibility

et al. 2012

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In the last decades, geographers' attention has been drawn to the vertical dimension of space and indoor environments due to population growth and concomitant city expansion. While traditional geography has long studied merely horizontal relationships of spatial processes and phenomena, recent years have also witnessed a growing number of studies that have sought to extend traditional spatial analysis tools to three-dimensional and indoor environments. In line with these developments, this paper proposes a new indoor accessibility measure which quantifies the quality of access to exits, called exitability. In this, the movement of people with respect to its three-dimensional environment, the user characteristics and the surrounding occupant interactions is considered key. Since the accessibility of exits is most important during evacuations, the calculation of exitability uses existing evacuation flow models. In a case study, we demonstrate the usefulness of exitability measurements through an application on existing building data.

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Land Value Analysis Using Space Syntax and GWR

Cited by 12 publications

References 1 publication

Analyzing the Factors that Affect and Predict Employment Density Using Spatial Machine Learning: The Case Study of Seoul, South Korea

Analyzing the Factors that Affect and Predict Employment Density Using Spatial Machine Learning: The Case Study of Seoul, South Korea

A comparative study on spatial configuration of human settlements in Riparian Area (Case studies : Old Kampoong and Colonial Settlements in Palembang

Measuring the exitability of buildings: A new perspective on indoor accessibility

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