Public Transport Passenger Attraction Using Policy Interventions for a Post-COVID Scenario

Sandra Kamar1, S. Shaheem2, B. Vinayaka1, Samson Mathew2
1School of Civil Engineering, REVA University, Bangalore, Karnataka, India
2KSCSTE-National Transportation Planning and Research Centre, Thiruvananthapuram, Kerala, India

Tóm tắt

Từ khóa


Tài liệu tham khảo

Abdullah M et al (2021) Exploring the traveler’s intentions to use public transport during the COVID-19 pandemic while complying with precautionary measures. Appl Sci 11:3630

Adnan et al (2020) Examining impacts of time-based pricing strategies in public transportation: a study of Singapore. Transp Res Part A 140:127–141

Arellana J et al (2020) COVID-19 outbreak in Colombia: an analysis of its impacts on transport systems. J Adv Transp 2020:8867316. https://doi.org/10.1155/2020/8867316

Chiou et al (2015) Factors affecting public transportation usage rate: geographically weighted regression. Transp Res Part A 78:161–177

Danesh A, Ma W, Wang L (2019) Policy solutions for transportation-related problems in Kabul: lessons from major cities of China and India. In: 19th COTA international conference of transportation © ASCE

Efthymiou D et al (2018) Factors affecting bus users’ satisfaction in times of economic crisis. Transp Res Part A Policy Pract 114:3–12

Evangelinos (2018) Pricing workplace parking via cash-out: effects on modal choice and implications for transport policy. Transp Res Part A 113:369–380

Fu, Juan (2017) Exploring the psychosocial factors associated with public transportation usage and examining the “gendered” difference. Transp Res Part A 103:70–82

Gutiérrez A, Miravet D, Domènech A (2020) COVID-19 and urban public transport services: emerging challenges and research agenda. Cities Health. https://doi.org/10.1080/23748834.2020.1804291

Haywood et al (2017) Crowding in public transport: who cares and why? Transp Res Part A 100:215–227

Hendrickson C, Rilett LR (2020) The COVID-19 pandemic and transportation engineering. Ed J Transp Eng Part A Syst 146(7):01820001

Jung H (2020) The impact of an epidemic on transit ridership. J Public Transp 22(2):1–15

Kedia AS, Sowjanya D, Salini PS, Jabeena M, Katti BK (2017) Transit shift response analysis through fuzzy rule based-choice model: a case study of Indian metropolitan city. Transp Dev Econ 3:8. https://doi.org/10.1007/s40890-017-0038-9

Kumar M, Sarkar P, Madhu E (2013) Development of fuzzy logic based mode choice model considering various public transport policy options. Int J Traffic Transp Eng 3(4):408–425

Lee, Yeh (2019) Causal effects between bus revenue vehicle-kilometres and bus ridership. Transp Res Part A 130:54–64

Li B, Cao JX (2018) Analysis of influencing factors on satisfaction degree for urban public transit service based on structural equation model. In: 18th COTA international conference of transportation professionals © ASCE

Liu et al (2018) Effects of vehicle restriction policies: analysis using license plate recognition data in Langfang, China. Transp Res Part A 118:89–103

Liu et al (2020) Noncompliance behaviour against vehicle restriction policy: a case study of Langfang, China. Transp Res Part A 132:1020–1033

Pulugurta S, Arun A, Errampalli M (2013) Use of artificial intelligence for mode choice analysis and comparison with traditional multinomial logit model. In: 2nd Conference of transportation research group of India

Shi J, Jian MY (2015) Analysis of car ownership growth trend in China under the purchasing restriction policy. In: 15th COTA international conference of transportation professionals © ASCE

Sun, Duan (2019) Modelling passengers’ loyalty to public transit in a two-dimensional framework: a case study in Xiamen, China. Transp Res Part A 124:295–309

Tao et al (2019) The role of car ownership in attitudes towards public transport: a comparative study of Guangzhou and Brisbane. Transp Res Part F 60:685–699

Tirachini, Cats (2020) COVID-19 and public transportation: current assessment, prospects, and research needs. J Public Transp 22(1):1–21

Tirachini et al (2017) Estimation of crowding discomfort in public transport: results from Santiago de Chile. Transp Res Part A 103:311–326

Verma et al (2020) Towards a sustainable transportation system for the COVID 19 recovery period. Un-published White Paper, Transportation Engineering Laboratory, Department of Civil Engineering, IISc 26 Bangalore, India

Vicente, Reis (2018) Ex-regular users of public transport: their reasons for leaving and returning. J Public Transp 21(2):101–116