Abstract
Feeder public transit service (FPTS) plays a vital role in economic development for commuters’ access to the city centers. Attitude analysis of the mode or service is the process of achieving the decision to use mode or service under a set of circumstances. The commuters’ attitude of a particular mode or service affects the whole public transport system. The present study aims to analyze the attitudes of the commuters toward proposed FPTS in Maninagar to Naroda BRTS corridor of Ahmedabad city. The methodology consists of the bus stop and onboard survey using revealed and stated preferences survey data. The present study used binary logit models with explanatory variables including demographic and socioeconomic characteristics of individuals, trip/travel characteristics and feeder mode attributes. The prediction accuracy of the proposed model was 65.9%, which was greater than the proportion by chance accuracy criteria of 64.3%, indicating the model was a good fit. The findings from the study revealed that as monthly income and vehicle ownership increase, the preference for the acceptance of the proposed FPTS increases, while increasing the values of household size and travel distance will give preference to the rejection of the proposed FPTS. The observation also shows that an increase in the level of service variables such as travel time and travel cost causes the commuters to reject the proposed FPTS service so far. The findings of this research can be extremely useful to increase ridership of public transit by providing feeder service.
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References
Ashalatha R, Manju V, Zacharia AB (2012) Mode choice behavior of commuters in Thiruvananthapuram city. J Transp Eng 139(5):494–502
Bayaga A (2010) Multinomial logistic regression: usage and application in risk analysis. J Appl Quant Methods 5(2):288–297
Ben-Akiva ME, Lerman SR (1985) Discrete choice analysis: theory and application to travel demand. MIT Press, Cambridge
Ben-Akiva M, Morikawa T (1990) Estimation of switching models from revealed preferences and stated intentions. Transp Res Part A Gen 24(6):485–495
Cochran WG (2007) Sampling techniques. Wiley, Hoboken
Cox DR (1972) Regression models and life-tables. J R Stat Soc Ser B (Methodol) 34:187–220
El-Habil AM (2012) An application on multinomial logistic regression model. Pak J Stat Oper Res 8(2):271–291
Fatima E, Kumar R (2014) Introduction of public bus transit in Indian cities. Int J Sustain Built Environ 3(1):27–34
Harley C, Hughes A, Hultgren K, Miner B, Sorte C (2009) Allison, PD 1999. Logistic regression using the SAS system: theory and application. Cary NC, SAS Institute Inc. Association of Official Seed Analysts. 1981. Rules for testing seeds. Journal of Seed Technology 6(2): 1–126. Bintz, JC and SW Nixon. 2001. Responses of eelgrass Zostera marina seedlings to. Function of Seed-Bank Ecology in Mid-Atlantic Semi-Annual and Perennial Zostera Marina Beds 6(2):169
Hosmer DW Jr, Lemeshow S, Sturdivant RX (2013) Applied logistic regression. Wiley, Hoboken
Koppelman FS, Bhat C (2006) A self instructing course in mode choice modeling: multinomial and nested logit models. U.S. Department of Transportation, Federal Transit Administration
Miskeen A, Manssour A, Mohamed Alhodairi A, Rahmat R (2013) Modeling of intercity transport mode choice behavior in Libya: a binary logit model for business trips by private car and intercity bus. Aust J Basic Appl Sci 7(1):302–311
Neter J (1983) Applied linear regression models. R.D. Irwin, Illinois, USA
Train K (2003) Discrete choice methods with simulation. Cambridge University Press, Cambridge
Wedagama DP (2009) A multinomial logit model for estimating the influence of household characteristics on motorcycle ownership: a case study in Denpasar city, Bali. J Civ Eng 29(1):2–9
White J (2013) Logistic regression model effectiveness: proportional chance criteria and proportional reduction in error. J Contemp Res Educ 2(1):4–10
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Balya, M.I., Kumar, R. Commuters’ Attitude Analysis of Feeder Public Transit Service: A Case Study. Iran J Sci Technol Trans Civ Eng 43 (Suppl 1), 313–321 (2019). https://doi.org/10.1007/s40996-018-0166-4
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DOI: https://doi.org/10.1007/s40996-018-0166-4