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Open AccessArticle

Estimating the Price Elasticity of Train Travel Demand and Its Variation Rules and Application in Energy Used and CO2 Emissions

1
College of Civil Science and Engineering, Yangzhou University, Yangzhou 225009, China
2
School of Transportation, Southeast University, Nanjing 210096, China
3
Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
4
School of Economics and Management, Beihang University, Beijing 100191, China
5
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(2), 475; https://doi.org/10.3390/su13020475
Received: 16 October 2020 / Revised: 31 December 2020 / Accepted: 1 January 2021 / Published: 6 January 2021
(This article belongs to the Special Issue Sustainable Railway System)
Investigation shows that train travel has a lower pollution impact on the environment than flight travel or car travel. A stated preferences (SP) survey can effectively obtain the data of the commuter’s response to the hypothetical train price changes beyond the scope of previous observations. To this end, based on SP survey, we estimate the price elasticity of train travel demand and analyze its variation rules. It is shown that: (1) the own-price elasticities of demand are −1.049028 during peak period and −1.090438 during off-peak period, respectively; (2) the cross-price elasticities of demand are 0.001280 for train and air and 0.001156 for train and car during peak period; and 0.001350 for train and air and 0.001230 for train and car during off-peak period; (3) the own and cross-price elasticities of demand during off-peak period are bigger than the ones during peak period; (4) when the influence factors’ influence degree is 3 or 5, the own and cross-price elasticities of demand are largest; when the influence degree is 1, the own and cross-price elasticities of demand are smallest. A result application example shows that the elasticities obtained from this paper could be used to reduce energy used and CO2 emissions effectively. View Full-Text
Keywords: train travel; own-price elasticities of demand; cross-price elasticities of demand; elasticities variation rules; energy used; CO2 emissions train travel; own-price elasticities of demand; cross-price elasticities of demand; elasticities variation rules; energy used; CO2 emissions
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MDPI and ACS Style

Zeng, Y.; Ran, B.; Zhang, N.; Yang, X. Estimating the Price Elasticity of Train Travel Demand and Its Variation Rules and Application in Energy Used and CO2 Emissions. Sustainability 2021, 13, 475.

AMA Style

Zeng Y, Ran B, Zhang N, Yang X. Estimating the Price Elasticity of Train Travel Demand and Its Variation Rules and Application in Energy Used and CO2 Emissions. Sustainability. 2021; 13(2):475.

Chicago/Turabian Style

Zeng, Youzhi; Ran, Bin; Zhang, Ning; Yang, Xiaobao. 2021. "Estimating the Price Elasticity of Train Travel Demand and Its Variation Rules and Application in Energy Used and CO2 Emissions" Sustainability 13, no. 2: 475.

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