Measuring Urban Form Units: Alternative for Characterizing Urban Growth Pattern in Yogyakarta Urbanized Areas

Devi, Mutiasari Kurnia; Fitria, Lulu Mari; Roychansyah, Muhammad Sani; Herwangi, Yori

doi:10.22146/ijg.40599

Cited by 6 publications

(5 citation statements)

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“…This finding supports the result of Moran's I analysis, which shows the existence of agglomerations of both big and small-scale retail in this area. The area is a suburban area with moderate to low compactness (Devi et al, 2020), and it has become the location for the growth of YUA, which is expanding towards the northeast (Wijaya & Umam, 2016). The urbanization process in Sleman and Bantul Regencies occurred directly adjacent to Yogyakarta City (Sudrajat, 2016).…”

Section: Spatial Pattern Distribution Of Modern Retailmentioning

confidence: 99%

Spatial Distribution of Small and Big-Scale Modern Retail Through the Growth of Yogyakarta Urbanized Area

Litasari,

Widiatmaka,

Munibah

et al. 2023

IJG

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The focus on the growth of modern retail has become increasingly important due to several generated externalities. Therefore, this research aimed to identify spatial distributional pattern of modern retail in order to implement precise policies. Data were obtained from The Department of Licensing Service of Yogyakarta City and supplemented with observation through Google Maps. The global pattern was analyzed using the Moran Index (Moran’s I), while the spatial pattern was evaluated using Local Indicators of Spatial Association (LISA). The analysis resulted in a significant cluster pattern for small and big-scale modern retail. The LISA analysis indicated the existence of agglomeration in the suburban area, which was the urban growth area with a high-high (HH) cluster of both small and big-scale modern retail in exact locations. In conclusion, agglomeration in the suburban area was of great concern for policymakers due to the possibility of conflicts.

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Section: Spatial Pattern Distribution Of Modern Retailmentioning

confidence: 99%

Spatial Distribution of Small and Big-Scale Modern Retail Through the Growth of Yogyakarta Urbanized Area

Litasari,

Widiatmaka,

Munibah

et al. 2023

IJG

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“…In addition to Yogyakarta, six districts in the Sleman Regency (Depok, some areas in Ngaglik, Mlati, Godean, Gamping and Ngemplak) and three districts in the Bantul Regency (Kasihan, Sewon and Banguntapan) are included in the YMA (see Figure 1 below) [51]. The YMA faces urbanisation and congestion simultaneously, as do other agglomeration areas [52]. Its growth and development as an educational centre, and its many renowned attractive tourist attractions are increasingly encouraging people to settle to work, study or develop business.…”

Section: The Studied Areamentioning

confidence: 99%

Daily Activity Space for Various Generations in the Yogyakarta Metropolitan Area

et al. 2022

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Two indices of activity space measurements using Euclidian distance measurements have been argued to be able to measure specific visited out-of-home activity locations closer to activity space definitions than other methods. However, the Euclidian distance does not consider any barriers or obstacles, such as the existence of public spaces (e.g., army bases, government offices and airports) or natural barriers (e.g., mountains, hills and agricultural fields that have no road infrastructure). Therefore, this study tries to fill the research gap by measuring the two indices using road network distance. Moreover, this study tries to determine whether the activity space of different generations, namely Generations (Gens) X, Y and Z, is significantly different, and whether some socio-demographic and activity pattern variables can help differentiate the activity space measurements. Using the 2019 Yogyakarta Metropolitan Area (YMA) dataset, this study confirms that measuring activity space using road network distance statistically gives different results from activity space measured using Euclidian distance. Moreover, this study confirms that the oldest generation had opposite activity space patterns in comparison to Gens Y and Z. Unlike the younger ones, the oldest generation visited out-of-home activity locations nearer to their home locations on weekdays but expanded to visit farther out-of-home locations on weekends. Trade-off mechanisms were found between weekdays and weekends, by which Gens X and Y significantly visited out-of-home activity locations farther from their home more often on weekends than on weekdays. However, all generations were observed to visit out-of-home activity locations near their out-of-home activity anchors every day, whereas the oldest tended more often to visit the activity locations farther from their out-of-home activity anchors than the younger generations on Fridays and Sundays.

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“…Size by population Since industrialization, many industrial cities such as England, China, and the USA have swiftly transformed polycentric urban settlement structure into a megalopolis (Huang, Tan, Liu, Chu & Kong, 2020;Kurnia devi, Mari Fitria, Roychansyah & Herwangi 2020;Zheng & Kahn, 2008). So, rural settlements have to reconstruct rural productions, lifestyles, natural systems, and sociocultural structures.…”

Section: Settlement Hierarcy Pattern By Housing Densitymentioning

confidence: 99%

Analysis of Settlements Patterns in Hatay Province

GUZEL

2021

İdealkent

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The settlement patterns that occur by the spatial distribution of the population vary according to the morphological characteristics and economic resources of the region at which they are located. While Hatay is located in Turkey's south between the Mediterranean Sea, the Amanos Mountains, and the Syrian border, it forms from settlements areas in which are diverse sizes and different shapes. The study aims to examine the impact of geomorphology on settlements and to reveal the relationship between the settlement typologies, economy, and demography. 2018 Corine Land Cover data, 2019 TUIK data, and Hatay Metropolitan Municipality data were investigated within this scope. According to the results, settlement areas of Hatay were classified into four groups with four patterns, while the patterns varied by the existence of economic structure. The pattern distribution was determined as dispersed-clustered in the industrial region, as linear in the tourism zone, and as dispersed in the agricultural production zone. Settlements were also densely affected and transformed by the 2011 Syrian refugee crisis due to the Syrian civil war. In conclusion, while geomorphology, advanced production systems, developed transportation axes, and international relations are effective in Hatay's settlement alterations, so these dynamics should strictly consider in city planning.

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Measuring Urban Form Units: Alternative for Characterizing Urban Growth Pattern in Yogyakarta Urbanized Areas

Cited by 6 publications

References 0 publications

Spatial Distribution of Small and Big-Scale Modern Retail Through the Growth of Yogyakarta Urbanized Area

Spatial Distribution of Small and Big-Scale Modern Retail Through the Growth of Yogyakarta Urbanized Area

Daily Activity Space for Various Generations in the Yogyakarta Metropolitan Area

Analysis of Settlements Patterns in Hatay Province

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