Spatial analysis of the extent of the rail network on the use of public transportation
(Case study of Tehran metro)
Subject Areas :
Saeed Nayeb
1
,
Mohammad Reza Eskandari Ata
2
1 - Assistant Professor of Theoretical and Industrial Economy, Faculty of Economics and Accounting, Islamic Azad University, Central Tehran Branch, Tehran, Iran
2 - Graduated Ph.D. in Public Sector Economics, Faculty of Economics and Administrative Sciences, University of Mazandaran, Babolsar, Iran
Received: 2020-11-09
Accepted : 2021-09-26
Published : 2023-07-23
Keywords:
Transportation,
Metro,
Number of Passengers,
Spatial Model,
Abstract :
Today, the development of metro lines as one of the urban transportation systems is one of the major issues in metropolitan areas. Wasting time and energy, increasing the cost of living, and increasing environmental pollution in urban life are some of the consequences of ignoring the role of rail transportation. The development of lines and the commissioning of new lines in the Tehran metro network are among the requirements of this metropolis. In the present study, using a spatial panel data model and a new approach in the use of spatial weight matrix, during 1397: 12-1393: 1 factors affecting the increase in the number of passengers and the effects of overflow of intersection stations on Tehran metro lines with the aim of investigating the extent of Tehran metro network in the use of public transport are needed. After performing various tests, the spatial lag model with random effects was confirmed. The results of estimating the SAR model show that the correlation between the number of passengers through the interchange stations channel is about 19% and if the number of interchange stations per line increases, the number of passengers on other lines will increase significantly. The direct and indirect effect of the number of stations on each line shows that increasing the number of stations has a 2.6% effect on the number of passengers on the lines, and this effect is also significant if crossing the interchange stations channel. Due to the low price of energy in the country, the price of oil has not had a significant effect on reducing or increasing the number of passengers, but the direct and indirect effect of ticket prices, which is considered as a possible rate ceiling in each period, is negative and significant. . The results of the present study show the need to pay attention to the effects of overflow of interchange stations and the number of stations in the development of Tehran metro lines.
References:
Anselin, L., Le Gallo, J. & Jayet, H. (2008). Spatial Panel Econometrics The Econometrics of Panel Data. Springer.
Baltagi, B., Egger, P., & Pfaffermayr, M. (2013). A Generalized Spatial Panel data Model with Random Effects. Econometric Reviews, 32, pp: 650–685.
Behbahani, H., Afandi Zadeh, S., & Rahimof, K. (2008). Solving the Waiting Time of Passengers in Metro Stations Using Simulation Technique (Case Study of Tehran Metro). Journal of Transportation Research, 5(1), pp: 15-30. (In Persian).
Elhorst, J.P. (2014). Spatial Econometrics; From Cross- Sectional Data to Spatial Panels. Springer Briefs in Regional Sciences.
Gan, Z., Feng, T., Yang, M., & et al. (2019). Analysis of Metro Station Ridership Considering Spatial Heterogeneity. Chinese Geographical Science. 29, doi: 10.1007/s11769-019-1065-8.
Hadi Zonouz, B. (2009). Metro ticket pricing in Tehran. Urban Economics, 3, pp: 4-19. (In Persian).
Kang, L., & Meng, Q. (2017). Two-Phase Decomposition Method for the Last Train Departure time Choice in Subway Networks. Transportation Research Part B: Methodological, 104, pp: 568-582.
Kazemian, G.H., Rasouli, Afshin., & Rafie Pour, S. (2015). Advantages of Intercity Rail Transportation Over Roads, Based on the Sustainable Development Approach, a Case Study of Tehran Metro Line 4. Journal of Research and Urban Planning, 23(6), pp: 77-94. (In Persian).
Kheirodin, R., Farhood, A., & Eimani, J. (2013). Targeted Development of Metro Stations; From Spatial Polarization to Urban Integration in Tehran Examples: Dr. Shariati and Shohada Square Metro Station. Journal of Bagh-e Nazar, 27(10), PP: 15-26. (In Persian).
LeSage, J., & Pace, R.K. (2009). Introduction to Spatial Econometrics, Boca Raton:
Li, Z., Zhou, y., Li, Z., & ET AL. (2020). Impact Analysis of New Metro Line Opening on Passenger Flow: A Case Study of Shenzhen, MATEC Web Conf, 308, doi: 10.1051/matecconf/202030801004.
Liu, C., & Li, Lei. (2020). How do Subways Affect Urban Passenger Transport Modes? Evidence from China. Economics of Transportation, doi: 10.1016/j.ecotra.2020.100181.
Millo, G. (2014). Maximum likelihood Estimation of Spatially and Serially Correlated Panels with Random Effects. Computational Statistics and Data Analysis, 71, pp: 914-933.
Mult, J. & Pfaffermayr, M. (2011). The Hausman Test in a Cliff and Ord Panel Model. The Econometrics Journal, 14(1), pp: 48-76.
Rafieian, M., Asgari Tafreshi, H., & Sedighi, A. (2010). Application of Transportation-Based Development (TOD) Approach in Urban Land Use Planning Sample Study: Sadeghieh Metro Station. The Scientific Research Journals Spatial Planning, 14(3), PP: 295-312. (In Persian).
Ramezan Zadeh, H., Molaei, A., & Mohammad Molaei, A. (2015). Urban Transport, its Effects and Environmental Solutions. Journal of Applied Arts, 4(6), PP: 55-62. (In Persian).
Razavi Hajiagha, S.H., Mohamadi, Y., & Shideh, S.H. (2020). Optimizing the Waiting Time of Passengers in Tehran Metro Intersection Stations Case study: Line 4 of Tehran Metro. Production and Operations Management, 11(1), pp: 24-43. (In Persian).
Shakeri, A., Mar, F., & Modaberi, S. (2011). Environmental Impacts of Shiraz Large Industrial Town on Release of Heavy Metals into Qarabagh Drainage. The Second National Conference on Applied Research in Iranian Water Resources, https://civilica.com/doc/115965. (In Persian).
Xiao, F., & Yu, G. (2018). Impact of a New Metro Line: Analysis of Metro Passenger Flow and Travel Time Based on Smart Card data. Journal of Advanced Transportation, doi: 10.1155/2018/9247102.
Xu, X., Li, K., & Li, X. (2016). A Multi-Objective Subway Timetable Optimization Approach with Minimum Passenger Time and Energy Consumption. Journal of Advanced Transportation. 50(1), pp: 69-95.
Zabihi, H., Abdollah, B., & Abdollah, B. (2015). Evaluate and Determine the Role of the Government Gate Station Complex with a Development Approach Based on Public Transportation (TOD). Urban Management Studies. 8(26), PP: 19-30. (In Persian).
_||_