skip to main content

Identifikasi Perilaku Perjalanan Melalui Metode Critical Path Method (CPM)

*Lulu Mari Fitria  -  Institut Teknologi Nasional Yogyakarta, Indonesia
Mutiasari Kurnia Devi  -  Institut Teknologi Nasional Yogyakarta, Indonesia
Muhammad Sani Roychansyah  -  Universitas Gadjah Mada, Indonesia
Yori Herwangi  -  Universitas Gadjah Mada, Indonesia
Siti Nurjanah  -  Institut Teknologi Nasional Yogyakarta, Indonesia

Citation Format:
Abstract

Mobilization in urban areas has increased every year along with the population growth and urban's development. Travel behaviors of the population in urban areas can be classified based on their travel characteristics. The identification of communities' travel behavior of Yogyakarta is based on the origin - destination and length of trip based on age characteristics. It will effects the travel patterns in the urban environment through spatial mapping. The method used in this research is critical path method. Critical Path Method (CPM) is used to determine the optimum path taken by the community based on its duration, which in this study CPM is used to determine the average travel of the community based on age groups when viewed from distance, length of trip and the number of daily trips. Based on the analysis, it shows that the average age of 15-22 years and 31-37 years have the highest travel time, which is about 9 hours and the average age of 23-30 years traveled the longest by 12.5 km. The average mobilization of travel behaviors in KPY is to the urbancenter of Yogyakarta. The KPY urban form does not have a compact form. 

Fulltext View|Download
Keywords: Urban; Travel Behavior; Transportation; Critical Path Method
Funding: Perencanaan Wilayah dan Kota, Institut Teknologi Nasional Yogyakarta

Article Metrics:

  1. Ambarwati, L., Verhaeghe, R., Arem, B., & Pel, A.J. (2016). Assessment of transport performance index for urban transport development strategies — Incorporating residents’ preferences. Elsevier : Environmental Impact Assessment Review 63 (2017) 107–115. http://dx.doi.org/10.1016/j.eiar.2016.10.004
  2. Albayati, D. M. F., Sipe, N. G., Alizadeh, T., & Tomerini, D. 2014. The impact of urban form on travel behaviour in three Baghdad neighbourhoods affected by terrorism. Urban Planning and Transport Research, 3(1), 32-45
  3. Crane, R. 1999. The Impacts of Urban Form on Travel: A Critical Review. Working Paper, WP99RC1. Cambridge, MA: Lincoln Institute for Land Policy
  4. Bartosiewicz, B., & Pielesiak, A. (2019). Spatial patterns of travel behaviour in Poland. Elsevier : Travel Behaviour and Society 15 (2019) 113–122. https://doi.org/10.1016/j.tbs.2019.01.004
  5. Dewita, Y., Burke, M., Yen, B. (2019). The relationship between transport, housing and urban form: Affordability of transport and housing in Indonesia. Elsevier : Case Studies on Transport Policy. https://doi.org/10.1016/j.cstp.2019.01.004
  6. Mouratidis, K., Ettema, D., Næss, P. (2019). Urban form, travel behavior, and travel satisfaction. Elsevier : Transportation Research Part A 129 (2019) 306–320. https://doi.org/10.1016/j.tra.2019.09.002
  7. Nielsen, T.A.S. (2015). Changes in transport behavior during the financial crisis. An analysis of urban form, location and transport behavior in the greater Copenhagen area 2006-2011. Elsevier : Research in Transportation Economics 51 (2015) 10e19. http://dx.doi.org/10.1016/j.retrec.2015.07.003
  8. Nkeki, F.N., & Asikhia, M.O. (2019). Geographically weighted logistic regression approach to explore the spatial variability in travel behaviour and built environment interactions: Accounting simultaneously for demographic and socioeconomic characteristics. Elsevier : Applied Geography 108 (2019) 47–63. https://doi.org/10.1016/j.apgeog.2019.05.008
  9. Yang, L et al., Integrated design of transport infrastructure and public spaces considering human behavior: A review of state-of-the-art methods and tools, Frontiers of Architectural Research, https://doi.org/10.1016/j.foar.2019.08.003
  10. Vanhoucke, M. (2012). Project Management with Dynamic Scheduling, Chapter 3 : The Critical Path Method. Springer-Verlag Berlin Heidelberg 2012. DOI 10.1007/978-3-642-25175-7 3

Last update:

No citation recorded.

Last update:

No citation recorded.