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THE CORRELATION BETWEEN ROAD NETWORK PERFORMANCE AND LAND PRICE: CASE STUDY SALATIGA CITY

*Edwin Hidayat  -  Institute of Road Engineering, Ministry of Public Works, Indonesia
Iwan Rudiarto scopus  -  Diponegoro University, Indonesia
Walter Timo de Vries scopus  -  Technische Universitat Munchen, Germany

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Abstract

Many aspects should be considered in planning a sustainable city, two of them are transportation planning and population growth. These aspects have an essential role in changing the urban structure and the occupancy rate of a city. Population growth always related to people activity, particularly social and economic activities whereas road is the primary transportation to support people activities. Moreover, an increasing population means increasing the need for land for housing purpose. This need automatically triggered the land price fluctuation. This paper aims to examine the correlation of road network performance which represented by accessibility and mobility toward land price. The first method is secondary data collection such as the road network map, land price, and demographic data. Secondly, measure the road length using a GIS-based approach. Subsequently, statistical analysis is applied to understand the correlation among those data. The results showed that accessibility and mobility give positive relationship to the land price. However, in term of influence level, accessibility has a weak influence on the land price. Mobility has a relatively significant influence on land price.

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Keywords: road network; mobility, accessibility; land price

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  1. Balijepalli, C., & Oppong, O. (2014). Measuring vulnerability of road network considering the extent of serviceability of critical road links in urban areas . Journal of Transport Geography, 39, 145-155
  2. Bhatta, B. (2010). Analysis of Urban Growth and Sprawl from Remote Sensing Data. Advances in Geographic Information Science
  3. Bo, X., Zhicui, L., & Ning, X. (2015). The Interactive Influence of Urbanization, land Price and Industrial Structure Adjustment - the Empirical Analysis from China. Journal of Business & Economic Policy Vol. 2, No. 3 , 81-91
  4. BPS. (2016). Salatiga City in Figure. Salatiga: Badan Pusat Statistik Kota Salatiga
  5. BPS. (2017). Salatiga Municipality in Figures. Kota Salatiga: Badan Pusat Statistik
  6. Burningham, S., & Stankevich, N. (2005). Why road maintenance is important and how to get it done . WASHINGTON, DC : THE WORLD BANK
  7. Fancello, G., Carta, M., & Fadda, P. (2014). A modeling tool for measuring the performance of urban road networks. Procedia - Social and Behavioral Sciences 111
  8. Fanga, C., & Yu, D. (2017). Urban agglomeration: An evolving concept of an emerging phenomenon. Landscape and Urban Planning 162 , 126–136
  9. Ford, A. C., Barr, S. L., Dawson, R. J., & James, P. (2015). Transport Accessibility Analysis Using GIS: Assessing Sustainable Transport in London. ISPRS Int. Journal Geo-Information 4 , 124-149
  10. Fox, J., & Weisberg, S. (2010). Nonlinear Regression and Nonlinear Least Squares in R. In J. Fox, & S. Weisberg, An R Companion to Applied Regression, Second Edition. Sage Publications
  11. Giuffrida, N., Ignaccoloa, M., Inturria, G., Rofè, Y., & Calabrò, G. (2017). Investigating the Correlation between Transportation Social Need and Accessibility: the Case of Catania. Transportation Research Procedia 27 , 816–823
  12. Gogtay, N., & Thatte, U. (2017). Principles of Correlation Analysis. Journal of The Association of Physicians of India, Vol. 65, March
  13. Hall, G. (2015). Pearson’s correlation coefficient. London: Imperial College London
  14. Han, H., C. H., Shu, X., Lin, L., & Qiu, D. (2017). The Effects of Greenbelt Policies on Land Development: Evidence from the Deregulation of the Greenbelt in the Seoul Metropolitan Area. Sustainability MDPI, 9
  15. Hidayat, E. (2017). Modelling the Dynamics Interrelation between Mobility, Utility and Land Asking Price. Munchen: Master Thesis, Department of Civil, Geo and Environmental Engineering, Technische Universitat Munchen
  16. Hidayat, E., Rudiarto, I., Siegert, F., & Vries, W. D. (2018). Modeling the Dynamic Interrelations between Mobility, Utility, and Land Asking Price. IOP Conf. Series: Earth and Environmental Science 123 (2018). IOP Publishing
  17. Indonesia. (2004). Indonesian Law number 38 year 2004 about road. Jakarta: Ministry of State Secretariate
  18. Iskandar, H. (2011). Minimum Service Standard Analysis for Non Toll Roads. Jalan Jembatan Journal Vol 28, No 1
  19. Ivanova, E., & Masarova, J. (2013). Importance Of Road Infrastructure In The Economic Development And Competitiveness. ECONOMICS AND MANAGEMENT 18 (2)
  20. Lestari, D. S., & Djumiko. (2017). Perkembangan Perumahan Dan Permukiman Sebagai Penentu Arah Dan Bentuk Kebutuhan Permukiman Di Pinggiran Kota. e-Jurnal Teknik Sipil Dan Arsitektur Fakultas Teknik UTP Surakarta Vol. 21 No 25, Juli
  21. Levashev, A. (2017). Application of Geoinformation Technologies for the Transportation Demand Estimation. Transportation Research Procedia 20 , 406 – 411
  22. Litman, T. (2017). Evaluating Accessibility for Transport Planning. Victoria Transport Policy Institute
  23. Liu, K. (2018). Spatiotemporal Analysis of Human Mobility in Manila Metropolitan Area with Person-Trip Data. Urban Sci. 2, 3
  24. Meersman, H., & Nazemzadeh, M. (2017). The contribution of transport infrastructure to economic activity: The case of Belgium. Case Studies on Transport Policy Volume 5, Issue 2, June , 316-324
  25. Noveria, M. (2010). Fenomena Urbanisasi Dan Kebijakan Penyediaan Perumahan Dan Permukiman Di Perkotaan Indonesia. Masyarakt Indonesia EDISI XXXVI / NO.2 / 2010 , 103-1024
  26. Oemar, & Daud, J. (2013). Study Of Road Network Performance In Regional District of Labuhan Batu. Jurnal Teknik Sipil Usu Vol 2, No 1
  27. Pojani, D., & Stead, D. ( 2015). Sustainable Urban Transport in the Developing World: Beyond Megacities. Sustainability, 7
  28. Qin, J., He, Y., & Ni, L. (2014). Quantitative Efficiency Evaluation Method for Transportation Networks. Sustainability, 6
  29. Rau, H., & Vega, A. (2012). Spatial (Im)mobility and Accessibility in Ireland: Implications for Transport Policy. Growth And Change 43 (4), 667-697
  30. Sampathkumara, V., Santhi, H., & Vanjinathan, J. (2015). Forecasting the land price using statistical and neural network software. Procedia Computer Science 57 ( 2015 ) 112 – 121 , 112-121
  31. Schneider, A., Hommel, G., & Blettner, M. (2010). Linear Regression Analysis. Deutsches Ärzteblatt International 107 (44), 776-782
  32. TAC. (2006). Performance Measures for Road Networks: A Survey of Canadian Use . Transport Canada
  33. Tacoli, C., McGranahan, G., & Satterthwaite, D. (2015 ). Urbanization, Rural–urban Migration and Urban Poverty. London: International Organization for Migration (IOM)
  34. Wijaya, H. B., Kurniawati, H., & Hutama, S. (2018). Industrialization Impact on Worker Mobility and Land Use in Peri Urban Area (Case study of Semarang District, Indonesia). IOP Conf. Series: Earth and Environmental Science 123. Solo, Central Java
  35. Yang, Y., Sun, Y., Li, S., S. Z., Wang, K., Hou, H., & Xu, S. (2015). A GIS-Based Web Approach for Serving Land Price Information. International Journal of Geo-Information 4, 2078-2093
  36. Yusoff, N. B. (216). Urbanization In Sustainable Economics Growth Of Peninsular Malaysia Northern Economic Corridor. South East Asia Journal of Contemporary Business, Economics and Law, Vol. 10, Issue 3

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