2017
DOI: 10.3390/su9050689
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The Impact of Beijing Subway’s New Fare Policy on Riders’ Attitude, Travel Pattern and Demand

Abstract: Abstract:On 28 December 2014, the Beijing subway's fare policy was changed from "Two Yuan" per trip to the era of Logging Ticket Price, charging users by travel mileage. This paper aims at investigating the effects of Beijing subway's new fare policy on the riders' attitude, travel pattern and demand. A survey analysis was conducted to identify the effects of the new fare policy for Beijing subway on riders' satisfaction degree and travel pattern associated with the potential influencing factors using Hierarch… Show more

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Cited by 14 publications
(11 citation statements)
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References 47 publications
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“…Moreover, the high negative impact was significant in the first month after the fare increase through a slight decrease in service utilization, while after four months the utilization level rebounded back and ended up almost in the same level before changing the fare policy. Predominantly, the new fare policy did not impact the public transport utilization long term [17].…”
Section: Literature Reviewmentioning
confidence: 93%
“…Moreover, the high negative impact was significant in the first month after the fare increase through a slight decrease in service utilization, while after four months the utilization level rebounded back and ended up almost in the same level before changing the fare policy. Predominantly, the new fare policy did not impact the public transport utilization long term [17].…”
Section: Literature Reviewmentioning
confidence: 93%
“…To represent full costs and increase use efficiency, governments often adjust prices of public good or resource, such as a public transportation system [81,82], fossil fuels [83] and power [84]. Thus, associated with water price reforms in China [85], water tariffs were thought to be an effective tool to align water demand with supply and provide funding for the MRC restoration.…”
Section: Valuation Of Restoring Esmentioning
confidence: 99%
“…Figure 2 shows the distribution of Beijing Subway smart cards and transaction records in 2016. The average number of trips (number of transaction records/smart cards) a subway user makes in a day is about 1.74 on workdays, which is extremely stable from Monday to Thursday and a little higher on Friday [22,32].…”
Section: Data Foundation Of the Beijing Subwaymentioning
confidence: 99%
“…Moreover, personal characteristics and preferences are also related to the mode and choice of commuting travel, such as age, household income, and occupation level [14,25,29]. Additionally, fare policy has a significant impact on the user's degree of satisfaction, but not the passenger flow volume [30][31][32]. Ridership statistics and performance indicators mentioned in these studies offer helpful information to determine the principles of SIUs used in this paper.…”
Section: Introductionmentioning
confidence: 99%