2016
DOI: 10.1590/2238-1031.jtl.v10n2a1
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Demand estimation of Personal Rapid Transit (PRT) using stated preference technique and binary logit models

Abstract: Keywords: PRT personal rapid transit travel demand binary logit model Dwarka Personal Rapid Transit (PRT) is an efficient rapid transit system which provides the last mile connectivity to the users with a high level of reliability and comfort. This paper is focused on the estimation of travel demand for a PRT system in an area using stated preference technique and binary logit models. Dwarka is a township in south-western region of New Delhi, India, and it has been selected as the case study area for this stud… Show more

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Cited by 8 publications
(6 citation statements)
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References 4 publications
(5 reference statements)
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“…This study is different from research conducted by Jain (2016) which states that private transportation users are willing to switch to using Personal Rapid Transit (PRT). 69.5% of bicycle users, 38.8 car users, and 17.2% two-wheeled motorbike users, and pedestrians 23.4% are willing to switch to using Personal Rapid Transit (PRT).…”
Section: Resultsmentioning
confidence: 66%
See 1 more Smart Citation
“…This study is different from research conducted by Jain (2016) which states that private transportation users are willing to switch to using Personal Rapid Transit (PRT). 69.5% of bicycle users, 38.8 car users, and 17.2% two-wheeled motorbike users, and pedestrians 23.4% are willing to switch to using Personal Rapid Transit (PRT).…”
Section: Resultsmentioning
confidence: 66%
“…Then the results of the data from the questionnaire were processed using Binary Logistic Regression analysis and calculation of consumer surpluses by calculating the difference between respondents' Willingness to Pay (WTP) with the applicable Ability to Pay (ATP). The sample used was as many as 100 respondents calculated using the Slovin formula and the non-probability sampling technique of Hapadzard type or Convenience Sampling, namely sampling by taking only the units found (Asra and Prasetyo;2016). The dependent variable used is the decision to use public transportation.…”
Section: Methodsmentioning
confidence: 99%
“…The Estimated Travel Demand for PRT in Dwarka is 222,465 Trips/Day. The detailed analysis travel demand assessment of PRT in Dwarka has been reported by Jain et al (2016).…”
Section: Travel Demand Estimation and Proposed Prt Routementioning
confidence: 99%
“…Minister of Transportation Decree 40/2015 is more appropriate to be used as a basis for surveying perceptions of terminal users student potential demand, ability to pay and willingness to pay to use city bus in Surakarta, Indonesia. Jalil, Anggraini, & Sugiarto [24] analyzed willingness to pay and ability to pay along with operational costs affecting the Trans KoetaRadja Corridor III bus fare level, BUEHLER & PUCHER [25] compared that the demand for public transportation in Germany was higher than in United States because public transport policies in Germany are better than in the United States in terms of public transportation services, public transport tickets, availability of public vehicles that lead to regional integration, high taxation of private vehicles and land use, Aljoufie (2014) analyzed low demand for public transportation in Jidda because 50% of the population does not have access to the public transportation system and supporting infrastructure, Ubaidilla [26] analyzed that demand for land transportation in Malaysia from 1980 to 2010 is influenced by real national income factors, road length, urban population and fuel prices, Poku-Boansi & Adarkwa [27] analyzed that Kumasi, Ghana residents demand is less for bus transportation than metro and taxi because bus transportation consumes time than other transportation systems, Jain, Sarkar, Vibhuti, & Arora Arora [28] analyzed the demand for small public vehicle in Dwarka India is influenced by costs and transportation time. Therefore, we interested to answer question about wilingness to pay and demand of bus terminal user.…”
Section: Introductionmentioning
confidence: 99%