Abstract
This study presents a methodology for analyzing travel satisfaction associated with commuting based on a segmentation-based approach and suggests segment-specific policy recommendations for improving trip quality in urban India. A survey questionnaire was developed to collect (1) commuters’ socio-demographic, trip-specific information, (2) commuters’ perceived satisfaction related to daily-, work-, and non-work-/other trips and (3) commuters’ satisfaction associated with the performance of a set of built-environment factors (sidewalk, bus-stop), and (4) commuter’s perception towards the existing level of safety, comfort, and time-efficiency associated with bus, walk, and private-car from 898 respondents across New Delhi, the Indian capital. The Kruskal–Wallis H-test was used to test for heterogeneity in travel satisfaction across various subgroups. Subsequently, a two-step clustering approach was used to classify the commuters into five segments based on age, gender, and commuting mode. The segments are ‘captive bus commuters’, ‘young male choice commuters’, ‘private car commuters’, ‘middle-aged choice commuters’ and ‘female choice commuters’. The user perception towards built-environment, mode-specific characteristics and travel satisfaction levels were explored within each segment. Results indicated that bus-stop safety and security were perceived with low importance, whereas sidewalk quality was satisfactory. Similarly, bus travel's safety, comfort, and reliability aspects were unsatisfactory compared to walking, indicating immediate intervention toward bus-specific infrastructure. The proposed methodology would help formulate specific policy measures to improve the trip satisfaction of urban commuters and facilitate efficient budget allocation for infrastructure improvement programs.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs40890-022-00177-0/MediaObjects/40890_2022_177_Fig1_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs40890-022-00177-0/MediaObjects/40890_2022_177_Fig2_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs40890-022-00177-0/MediaObjects/40890_2022_177_Fig3_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs40890-022-00177-0/MediaObjects/40890_2022_177_Fig4_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs40890-022-00177-0/MediaObjects/40890_2022_177_Fig5_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs40890-022-00177-0/MediaObjects/40890_2022_177_Fig6_HTML.png)
Similar content being viewed by others
Data Availability
Some or all data, models, or codes that support this study's findings are available from the corresponding author upon reasonable request.
References
Cao J (2013) The association between light rail transit and satisfactions with travel and life: evidence from Twin Cities. Transportation (Amst) 40(5):921–933. https://doi.org/10.1007/s11116-013-9455-8
Lancée S, Veenhoven R, Burger M (2017) Mood during commute in the Netherlands: what way of travel feels best for what kind of people? Transp Res Part A Policy Pract 104:195–208. https://doi.org/10.1016/j.tra.2017.04.025
Handy S, Thigpen C (2019) Commute quality and its implications for commute satisfaction: exploring the role of mode, location, and other factors. Travel Behav Soc 16(September 2017):241–248. https://doi.org/10.1016/j.tbs.2018.03.001
Ferenchak NN, Katirai M (2015) Commute mode and mental health in major metropolitan areas. Transp Lett 7(2):92–103. https://doi.org/10.1179/1942787514Y.0000000040
Li Z, Hensher DA (2013) Crowding in public transport: a review of objective and subjective measures. J Public Transp 16(2):107–134. https://doi.org/10.5038/2375-0901.16.2.6
Jang J, Ko J (2019) Factors associated with commuter satisfaction across travel time ranges. Transp Res Part F Traffic Psychol Behav 66:393–405. https://doi.org/10.1016/j.trf.2019.09.019
Abenoza RF, Cats O, Susilo YO (2017) Travel satisfaction with public transport: determinants, user classes, regional disparities and their evolution. Transp Res Part A Policy Pract 95:64–84. https://doi.org/10.1016/j.tra.2016.11.011
Bergstad CJ et al (2011) Subjective well-being related to satisfaction with daily travel. Transportation (Amst) 38(1):1–15. https://doi.org/10.1007/s11116-010-9283-z
Elias W, Benjamin J, Shiftan Y (2015) Gender differences in activity and travel behavior in the Arab world. Transp Policy 44:19–27. https://doi.org/10.1016/j.tranpol.2015.07.001
Sweet M, Kanaroglou P (2016) Gender differences: the role of travel and time use in subjective well-being. Transp Res Part F Traffic Psychol Behav 40:23–34. https://doi.org/10.1016/j.trf.2016.03.006
Redmond LS, Mokhtarian PL (2001) The positive utility of the commute: modeling ideal commute time and relative desired commute amount. Transportation (Amst) 28(2):179–205. https://doi.org/10.1023/A:1010366321778
Ory DT, Mokhtarian PL (2005) When is getting there half the fun Modeling the liking for travel. Transp Res Part A Policy Pract 39(2–3):97–123. https://doi.org/10.1016/j.tra.2004.09.006
Clark B, Chatterjee K, Martin A, Davis A (2019) How commuting affects subjective wellbeing. Transportation (Amst) 47(6):2777–2805. https://doi.org/10.1007/s11116-019-09983-9
Mokhtarian PL, Papon F, Goulard M, Diana M (2015) What makes travel pleasant and/or tiring? An investigation based on the French National Travel Survey. Transportation (Amst) 42(6):1103–1128. https://doi.org/10.1007/s11116-014-9557-y
Sreechitra CB, Navandar YV, Dhamaniya A (2022) Public transport user’s satisfaction level in India. In: Intelligent infrastructure in transportation and management, pp 79–89. https://doi.org/10.1007/978-981-16-6936-1_7
Mogaji E, Nguyen NP (2021) Transportation satisfaction of disabled passengers: evidence from a develo** country. Transp Res Part D Transp Environ 98:102982. https://doi.org/10.1016/J.TRD.2021.102982
Badgeri M Thane: Shortage of public transport troubles daily commuters in suburbs, Times of India, May 12, 2020. https://timesofindia.indiatimes.com/city/thane/thane-shortage-of-public-transport-troubles-daily-commuters-in-suburbs/articleshow/76355764.cms. Accessed 21 July 2022
ET The Economic Times. The Economic Times, 2022. https://economictimes.indiatimes.com/news/india/mumbai-5th-most-congested-city-in-the-world-delhi-11th-report/articleshow/89468865.cms?from=mdr. Accessed 10 July 2022
Olsson LE, Gärling T, Ettema D, Friman M, Fujii S (2013) Happiness and satisfaction with work commute. Soc Indic Res 111(1):255–263. https://doi.org/10.1007/s11205-012-0003-2
Morris EA, Hirsch JA (2016) Does rush hour see a rush of emotions? Driver mood in conditions likely to exhibit congestion. Travel Behav Soc 5:5–13. https://doi.org/10.1016/j.tbs.2015.07.002
Lee RJ, Sener IN (2016) Transportation planning and quality of life: where do they intersect? Transp Policy 48:146–155. https://doi.org/10.1016/j.tranpol.2016.03.004
Verma M, Rahul TM, Vinayak P, Verma A (2018) Influence of childhood and adulthood attitudinal perceptions on bicycle usage in the Bangalore city. J Transp Geogr 72:94–105. https://doi.org/10.1016/J.JTRANGEO.2018.08.016
Ettema D, Friman M, Gärling T, Olsson LE (2015) Travel mode use, travel mode shift and subjective well-being: overview of theories, empirical findings and policy implications. In: Mobility, sociability and well-being of urban living. Springer, Berlin, pp 129–150
Rastogi R (2010) Willingness to shift to walking or bicycling to access suburban rail: case study of Mumbai, India. J Urban Plan Dev. https://doi.org/10.1061/(ASCE)0733-9488(2010)136:1(3)
Verma M, Rahul TM, Reddy PV, Verma A (2016) The factors influencing bicycling in the Bangalore city. Transp Res Part A Policy Pract 89:29–40. https://doi.org/10.1016/J.TRA.2016.04.006
Majumdar BB, Jayakumar M, Sahu PK, Potoglou D (2021) Identification of key determinants of travel satisfaction for develo** policy instrument to improve quality of life: an analysis of commuting in Delhi. Transp Policy 110:281–292. https://doi.org/10.1016/j.tranpol.2021.06.012
Ye R, Titheridge H (2017) Satisfaction with the commute: the role of travel mode choice, built environment and attitudes. Transp Res Part D Transp Environ 52:535–547. https://doi.org/10.1016/J.TRD.2016.06.011
Sahu PK, Sharma G, Guharoy A (2018) Commuter travel cost estimation at different levels of crowding in a suburban rail system: a case study of Mumbai. Public Transport 10(3):379–398. https://doi.org/10.1007/s12469-018-0190-6
Susilo YO, Cats O (2014) Exploring key determinants of travel satisfaction for multi-modal trips by different traveler groups. Transp Res Part A Policy Pract 67:366–380. https://doi.org/10.1016/J.TRA.2014.08.002
Ouali LAB, Graham DJ, Barron A, Trompet M (2020) Gender differences in the perception of safety in public transport. J R Stat Soc Ser A Stat Soc 183(3):737–769. https://doi.org/10.1111/RSSA.12558
Rahul TM, Manoj M (2020) Categorization of pedestrian level of service perceptions and accounting its response heterogeneity and latent correlation on travel decisions. Transp Res Part A Policy Pract 142:40–55. https://doi.org/10.1016/J.TRA.2020.10.011
Latif E (2010) Crisis, unemployment and psychological wellbeing in Canada. J Policy Model 32(4):520–530. https://doi.org/10.1016/j.jpolmod.2010.05.010
Majumdar BB, Mitra S, Pareekh P (2015) Methodological framework to obtain key factors influencing choice of bicycle as a mode. Transp Res Rec J Transp Res Board 2512(1):110–121. https://doi.org/10.3141/2512-13
Shiftan Y, Outwater ML, Zhou Y (2008) Transit market research using structural equation modeling and attitudinal market segmentation. Transp Policy 15(3):186–195. https://doi.org/10.1016/j.tranpol.2008.03.002
Grisé E, El-Geneidy A (2018) Where is the happy transit rider? Evaluating satisfaction with regional rail service using a spatial segmentation approach. Transp Res Part A Policy Pract. https://doi.org/10.1016/j.tra.2017.11.005
Chiu T, Fang DP, Chen J, Wang Y, Jeris C (2001) A robust and scalable clustering algorithm for mixed type attributes in large database environment. In: Proceedings of seventh ACM SIGKDD international conference on knowledge discovery and data mining, pp 263–268. https://doi.org/10.1145/502512.502549
Jain B At 28.3%, Delhi’s percentage share of crimes against women in 2017 the most across 19 cities | India News—Times of India, The Times of India, 22 Oct 2019. https://timesofindia.indiatimes.com/india/at-28-3-delhis-percentage-share-of-crimes-against-women-in-2017-the-most-across-19-cities/articleshow/71698694.cms. Accessed 15 Mar 2021
TNN, Delhi crime rate is 4 times of other metros | Delhi News—Times of India, The Times of India, 10 January 2020. https://timesofindia.indiatimes.com/city/delhi/delhi-crime-rate-is-4-times-of-other-metros/articleshow/73179559.cms. Accessed 01 May 2021
Zhang C, Cao X, Nagpure A, Agarwal S (2019) Exploring rider satisfaction with transit service in Indore, India: an application of the three-factor theory. Transp Lett 11(8):469–477. https://doi.org/10.1080/19427867.2017.1398484
Shafabakhsh G, Mirzanamadi R, Mohammadi M (2015) Pedestrians’ mental satisfaction’s relationship with physical characteristics on sidewalks using analytical hierarchy process: case study of Tehran, Iran. Transp Lett 7(3):121–132. https://doi.org/10.1179/1942787514Y.0000000039
Guliani A, Mitra R, Buliung RN, Larsen K, Faulkner GEJ (2015) Gender-based differences in school travel mode choice behaviour: examining the relationship between the neighbourhood environment and perceived traffic safety. J Transp Health 2(4):502–511. https://doi.org/10.1016/j.jth.2015.08.008
Nadimi N, Sangdeh AK, Amiri AM (2020) Deciding about the effective factors on improving public transit popularity among women in develo** countries. Transp Lett. https://doi.org/10.1080/19427867.2020.1801022
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
There is no potential conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix: Description of Questionnaire Items
Appendix: Description of Questionnaire Items
Items | Statement | Measurement scale |
---|---|---|
Gender (M/F) | Please state your gender | 0—Male 1—Female |
Age | Please tick the age-range | 0—18–24 1—25–34 2—35–44 3—44–54 4—55 and above |
Monthly income level | Please tick on the income-level range (in INR/month) | 0—Less than 10,000 1—10,000–20,000 2—20,000–50,000 3—50,000–100,000 4—100,000 and above |
Vehicle ownership | Please tick whichever is applicable | 0—No 1—Motorised two-wheeler 2—Car 3—Both motorised two-wheeler and car |
Sidewalk availability | How satisfied are you with the sidewalk availability in your locality? | 0—Least satisfied 1—Less satisfied 2—Neutral 3—Satisfied 4—Highly satisfied |
Street light condition | How satisfied are you with the streetlight condition in your locality? | |
Bus stop safety and security | Are the bus stops safe and secure, in your opinion? | 0—Very much unsafe and insecure 1—Unsafe and insecure 2—Neutral 3—Safe and secure 4—Very much safe and secure |
Bus stop accessibility | Is the bus stop at an accessible distance from your residence? | 0—Highly inaccessible 1—Inaccessible 2—Neutral 3—Accessible 4—Highly accessible |
Street congestion level | What is your perception of the congested street? | 0—Street was very congested 1—Street was congested 2—Street was neither congested nor free 3—Street was a little congested 4—Street was not at all congested |
Walking health benefits | Do you think there are health benefits associated with walking? | 0—There is no health benefit 1—There is a little health benefit 2—Neutral 3—There is some health benefit 4—There is a significant health benefit |
Bus—safety | How do you perceive the safety of your travel using a bus? | 0—Very unsafe 1—Unsafe 2—Neutral 3—Safe 4—Very safe |
Car—safety | How do you perceive the safety of your travel using a car? | |
Walking—safety | How do you perceive the safety of your travel by walking? | |
Bus—time efficiency | How do you perceive the time efficiency of your travel using the bus? | 0—Very inefficient 1—Inefficient 2 – Neutral 3 – Efficient 4 – Very efficient |
Car—time efficiency | How do you perceive the time efficiency of your car travel? | |
Walking—time efficiency | How do you perceive the time efficiency of your travel by walking? | |
Bus—comfort | How do you perceive the comfort associated with bus travel? | 0—Very uncomfortable 1—Uncomfortable 2—Neutral 3—Comfortable 4—Very comfortable |
Car—comfort | How do you perceive the comfort associated with car travel? | |
Walking—comfort | How do you perceive the comfort associated with walking? | |
Daily travel satisfaction (DTS) | How satisfied are you based on your daily travel experience? | 0—Least satisfied 1—Less satisfied 2—Neutral 3—Satisfied 4—Highly satisfied |
Work trip satisfaction (WTS) | How satisfied are you based on your work-trip experience? | |
Other than work trip satisfaction (OTS) | How satisfied are you based on your other / non-work trips (leisure, shop**) |
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Jayakumar, M., Sahu, P.K., Majumdar, B.B. et al. Analysis of Travel Satisfaction with Commuting in Develo** Economy: A Case of New Delhi, India. Transp. in Dev. Econ. 9, 7 (2023). https://doi.org/10.1007/s40890-022-00177-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s40890-022-00177-0