Urban Sprawl Typology in Semarang City

Yutri Aprillia, Bitta Pigawati

DOI: https://doi.org/10.23917/forgeo.v32i2.6369

Abstract

The population and economic growth increase the need of space leading to an increase in built-up area. There is an increased activity in the city centre which results in the residents feeling less comfortable to live in the area. Hence, the growth of the settlement area tends to head towards the periphery. This condition is an indication of the developments of the built-up area in the periphery. Urban sprawl is a phenomenon of development of an irregular built-up area which leads to the suburbs. Urban development as a result of urban sprawl will trigger an increase in the demand for supporting facilities and infrastructure. An urban Sprawl in Semarang City has resulted in the establishment of residential areas in a conserved region, which is against zoning regulations in the Semarang City Spatial Planning Document (RTRW). Urban Sprawl Typology Research in Semarang City aims to analyse the urban sprawl typology in the city. By knowing the typology, it can minimise the impact of urban sprawl. This research was conducted using the remote sensing method and geographic information system (GIS) with the Shannon's Entropy approach. The results indicated that in 2006 and 2016, urban sprawl in Semarang City had three types of typology that can be classified as typology I (low level), typology II (medium level) and typology III (high level). The impact of urban sprawl on typology II and III can be minimised through the provision of affordable housing with adequate infrastructure, and an improvement in the permit system for housing and settlement development.

Keywords

urban sprawl;Shannon’s enthropy;GIS; remote sensing;Semarang

Full Text:

PDF HTML

References

Antrop, M. (2004). Landscape Change and the Urbanization Process in Europe. 67: 9–26.

Bharath, H.A., M.C. Chandan, S. Vinay, and T.V. Ramachandra. (2017). Modelling Urban Dynamics in Rapidly Urbanising Indian Cities. The Egyptian Journal of Remote Sensing and Space Science.

Bhatta, B., S. Saraswati, and D. Bandyopadhyay. (2010). Urban Sprawl Measurement from Remote Sensing Data. Applied Geography 30(4): 731–40. http://dx.doi.org/10.1016/j.apgeog.2010.02.002.

Buchori, I, Sugiri, A., Maryono, M., Pramitasari, A., Pamungkas, I.T.D. ( 2017). Theorizing Spatial Dynamics of Metropolitan Regions: A Preliminary Study in Java and Madura Islands, Indonesia. Sustainable Cities and Society 35: 468–82.

Dadi, D. Azadi, H., Senbeta, F., Abebe, K., Taheri, F., Stellmacher, T. (2016). Urban Sprawl and Its Impacts on Land Use Change in Central Ethiopia. Urban Forestry & Urban Greening 16: 132–41.

Ewing, R., Pendall, R., Chen, D. (2002). Measuring Sprawl and Housing Centers of Activity. Smart Growth America: 42.

Hadi, M.A, (2013). Urban Sprawl di Kota Semarang: Karakteristiknya dan Evaluasinya Terhadap Rencana Detail Tata Ruang Kota. Unpublished Thesis, Geography Faculty, Gadjah Mada University, Yogyakarta

Handayani, W., Rudiarto, I. (2014). Dynamics of Urban Growth in Semarang Metropolitan – Central Java: An Examination Based on Built-Up Area and Population Change. Journal of Geography and Geology 6(4): 80–87.

Hasse, J., Lathrop, R. G. (2003). A Housing-Unit Level Approach to Characterizing Residential Sprawl. Photogrammetric Engineering and Remote Sensing, 69(9): 1021–30.

Inostroza, Luis, Rolf Baur, and Elmar Csaplovics. (2013). Urban Sprawl and Fragmentation in Latin America : A Dynamic Quanti Fi Cation and Characterization of Spatial Patterns. Journal of Environmental Management 115:

Semarang: CBS (Central Bureau of Statistics). (2017). Kota Semarang Dalam Angka 2017.

Jaya, L.M.G. (2009). Analisis perubahan tutupan lahan di wilayah pesisir teluk kendari menggunakan citra satelit resolusi tinggi (kurun waktu 2003-2009). Forum Geografi, 27(2), 183–192.

Nahib, I.. (2016). Prediksi Spasial Dinamika Areal Terbangun Kota Semarang Dengan Menggunakan Model Regresi Logistik. Majalah Ilmiah Globe, 95–104.

Pigawati, B., Rudiarto, I. (2011). Penggunaan Citra Satelit Untuk Kajian Perkembangan Kawasan Permukiman Di Kota Semarang. Forum Geografi, 25(2), 140–151.

Pigawati, B., Yuliastuti, N., Mardiansjah, F.H. (2017). Limitations on the Development of The Suburbs Area as The Control. IOP Conference Series: 306–19.

Pozoukidou, G., Ntriankos, I. (2017). Measuring and Assessing Urban Sprawl: A Proposed Indicator System for the City of Thessaloniki, Greece. Remote Sensing Applications. Society and Environment, 8: 30–40.

Prasetyo, A., Koestoer, R.H., Waryono, T. (2016). Pola Spasial Penjalaran Perkotaan Bodetabek : Studi Aplikasi Model Shannon’s Entropy. Jurnal Geografi Gea , 16: 144–60.

Rukmana, Nurlaili, S., Rudiarto, I. (2016). Land Use Change in Suburban Area: A Case of Malang City, East Java Province. Geoplanning: Journal of Geomatics and Planning, 3(1): 23–32.

Schneider, A., Woodcock, C.E. (2008). Compact, Dispersed, Fragmented, Extensive? A Comparison of Urban Growth in Twenty-Five Global Cities Using Remotely Sensed Data, Pattern Metrics and Census Information. Urban Studies, 45(3): 659–92.

Shekhar, S. (2004). Urban Sprawl Assessment Entropy Approach. GIS Development, Noida.

Solé-Ollé, Albert, and Miriam Hortas Rico. (2010). Does Urban Sprawl Increase The Cost of Providing Local Public Services? Evidence from Spanish Municipalities. Urban Studies, 47(7): 1513–40.

Sudhira, H.S., and T.V. Ramachandra. (2007). Characterising Urban Sprawl From Remote Sensing Data and Using Landscape Metrics. 10th International Conference on Computers in Urban Planning and Urban Management, 1–12.

Suditu, B., Ginavar, A., Muic, A., Iordăchescu, C., Vârdol, A., Ghinea, B. (2010). Urban Sprawl Characteristics and Typologies in Romania. Human Geographies — Journal of Studies and Research in Human Geography, 4(2): 79–87.

Summer, H, Nordman, C. (2008). Accuracy Assessment: Abraham Lincoln Birthplace National Historic Site. Available online: http://www1.usgs.gov/vip/abli/abliaarpt.pdf.

Tian, L., Li, Y., Yan, Y., & Wang, B. (2017). Land Use Policy Measuring Urban Sprawl and Exploring the Role Planning Plays : A Shanghai Case Study. Land Use Policy, 67: 426–35.

Verma, S., Chatterjee, A., & Mandal, N. R. (2017). Analysing Urban Sprawl and Shifting of Urban Growth Centre of Bengaluru City, India Using Shannon’s Entropy Method. Journal of Settlements and Spatial Planning, 8(2), 89–98. https://doi.org/10.24193/JSSP.2017.2.02

Wilson, E.H., Hurd, J.D., Civco, D.L., Prisloe, M.P, Arnold, C. (2003). Development of a Geospatial Model to Quantify, Describe and Map Urban Growth. Remote Sensing of Environment, 86(3): 275–85.

Wu, K., Zhang, H. (2012). Land Use Dynamics , Built-up Land Expansion Patterns , and Driving Forces Analysis of the Fast-Growing Hangzhou Metropolitan Area , Eastern China ( 1978 e 2008 ). Applied Geography, 34: 137–45. http://dx.doi.org/10.1016/j.apgeog.2011.11.006.

Yeh, A.G., Li, X. (2001). “Measurement and Monitoring of Urban Sprawl in a Rapidly Growing Region Using Entropy.” Photogrammetric Engineering & Remote Sensing 67(1): 83–90.

Yunus, H S. (1999). Struktur Tata Ruang Kota. Pustaka Pelajar.

Article Metrics

Abstract view(s): 363 time(s)
PDF: 113 time(s) HTML: 229 time(s)

Refbacks

  • There are currently no refbacks.