Log in

Analysis of Travel Satisfaction with Commuting in Develo** Economy: A Case of New Delhi, India

  • Original Article
  • Published:
Transportation in Develo** Economies Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

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

  1. 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

    Article  Google Scholar 

  2. 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

    Article  Google Scholar 

  3. 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

    Article  Google Scholar 

  4. 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

    Article  Google Scholar 

  5. 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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  7. 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

    Article  Google Scholar 

  8. 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

    Article  Google Scholar 

  9. 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

    Article  Google Scholar 

  10. 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

    Article  Google Scholar 

  11. 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

    Article  Google Scholar 

  12. 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

    Article  Google Scholar 

  13. 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

    Article  Google Scholar 

  14. 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

    Article  Google Scholar 

  15. 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

  16. 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

    Article  Google Scholar 

  17. 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

  18. 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

  19. 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

    Article  Google Scholar 

  20. 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

    Article  Google Scholar 

  21. 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

    Article  Google Scholar 

  22. 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

    Article  Google Scholar 

  23. 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

  24. 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)

    Article  Google Scholar 

  25. 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

    Article  Google Scholar 

  26. 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

    Article  Google Scholar 

  27. 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

    Article  Google Scholar 

  28. 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

    Article  Google Scholar 

  29. 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

    Article  Google Scholar 

  30. 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

    Article  MathSciNet  Google Scholar 

  31. 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

    Article  Google Scholar 

  32. 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

    Article  Google Scholar 

  33. 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

    Article  Google Scholar 

  34. 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

    Article  Google Scholar 

  35. 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

    Article  Google Scholar 

  36. 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

  37. 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

  38. 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

  39. 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

    Article  Google Scholar 

  40. 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

    Article  Google Scholar 

  41. 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

    Article  Google Scholar 

  42. 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

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Prasanta K. Sahu.

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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

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

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40890-022-00177-0

Keywords

Navigation