Presented by: Group 9Sumeet Mittal(171)K Naresh Kumar(172)Ashish Sharma(173)Gourav Kumar Bhut(174)Anurag Nair(175)Shashank Sharma(176)

LEISURE TIME TRAVELLING BEHAVIOR

FLOW OF PRESENTATION

Conclusion

ANOVA Test analysis

T-test analysis

Concerns in leisure travel

Elements for leisure time travel

Consumer Preferences

Demographic Factors

• Leisure as a part of human existence - significant meaning and impactful.

• Integrated in work life as a means of enhancement of the quality of life per se.

• Tourism – one of the most important leisure time activity.

• Tourist – Leisure time travel, business & Other purposes.

INTRODUCTION

Work-place is invading into the private lives

Tremendous pressure on individuals

Constant tussle that most working people

undergo

Knowledge, Disposable

Income, Accessibility, Social Media

REASONS FOR BOOM IN TRAVEL INDUSTRY

INDUSTRY OVERVIEW

Parameter Value

Foreign tourist arriving in India 5.11 mn Nos.

Indian nationals departure from India 11.07 mn Nos.

Domestic tourist visits to all states/ Uts 650.04 mn Nos.

Foreign Exchange Income through Tourism

In INR terms Rs. 549.6 billion

In US $ terms US $ 11.39 billion

Travel and tourism - largest service industry in India.

Source: http://www.dnb.co.in/Travel_Tourism/Indian_Travel_and_Tourism_Industry.asp

MAJOR PLAYERS IN TRAVEL INDUSTRY IN INDIA

OBJECTIVES

To study the travelling behaviour in terms of its Characteristics, factors affecting the traveller and Trends visible in them.

To understand the customer need and factors driving their behaviour.

To study the parameters that customer expects during leisure time travel.

Strategies to enable a new entrant, to capitalize the opportunity prevailing in the market and establish itself and gain in market share.

Data Collection & Sampling

• Sample size of customers : 200• Sample under consideration : general population• Sampling technique : convenience sampling • Technique of data collection : Primary• Distribution of questionnaire at places like banks, malls,

markets and dining joints.• Areas likely to be covered: Delhi/NCR• Online Survey by distribution of questionnaire.

METHODOLOGY

Tools for analysis: Tables, Pie Charts and Bar diagrams.

Tools: SPSS and EXCELANOVA test, T-test,

hypothesis

TOOLS USED FOR ANALYSIS

Age• 16 – 22• 23 – 29• 30 – 36• 37 – 43• 44 – 50

Gender

• Male• Female

Monthly Income

• < 25000• 25000 – 50000• 50000 – 75000• 75000 – 100000• > 100000

DEMOGRAPHIC FACTORS

Occupatio

n

•Services•Student•House wife•Business•Unemploy

ed

Marital

Status

•Married

•Unmarried

37%

45%

7%

3%3% 4%

Age

16-22 23-29

30-36 37-43

44-50 >50

67%

33%

Gender

Male

Female

31%

54%

5% 10%

Occupation

Services

Student

House Wife

Business

8%

24%

27%

20%

22%

Monthly Income

< 25000

25000 - 50000

50000 - 75000

75000 - 100000

> 100000

20%

80%

Marital Status

MarriedUnmarried

FEMALES SECURITY CONCERNS WHILE TRAVELLING

yes no0

5

10

15

20

25

30

35

NeverSometimesAlways

RELATION BETWEEN TRAVEL FREQUENCY & MONTHLY INCOME

<25000 25000-50000 50000-75000 75000-100000

>1000000

2

4

6

8

10

12

14

16

monthlyquaterlyhalf yearlyannualy

MONTHLY INCOME VS TRAVEL EXPENSES

<5000 5000-15000 15000-25000 25000-35000 35000-45000 >450000

2

4

6

8

10

12

14

16

18

20

<2500025000-5000050000-7500075000-100000>100000

Season of travel

• Spring• Summer• Winter• Rain• Fall

Destination

• Hill Stations• Short Getaways• Beaches• Religious Places• Natural Heritage• Wildlife Sanctuaries

CONSUMER PREFERENCE

• Roadways• Waterways• Airways• Trains

Modes Of transport

• Internet• Word of mouth• Travel Magazine• Travel Channel

Source Of Information

Summer30%

Winter36%

Rain5%

Fall4%

Spring25%

SeasonShort Getaways

7%

Hill Stations30%

Religious places8%Natural Heritage

15%

Beaches21%

Wildlife Sanc-tuaries

19%

Destination

In-ter-net52%

Word Of Mouth41%

Travel Magazine1%

Travel Channel6%

Source of Information

DESTINATION PREFERENCE WITH….Parents:

• 10%

• 19%

• 24%

• 22%

• 5%

• 9%

• 10%

Friends:

• 12%

• 20%

• 5%

• 9%

• 26%

• 14%

• 15%

Colleagues:

• 19%

• 20%

• 6%

• 12%

• 19%

• 15%

• 9%

CONSUMER WHOSE OCCUPATION IS BUSINESS & SERVICES

Relaxation Experience Shopping Escape Social0

2

4

6

8

10

12

14

16

18

Consumer preference

Consumer preference

GRADUATE & SERVICE VS MODES OF TRANSPORT

Airways Roadways Railways Waterways05

10152025303540

Graduate & Service

Modes of transport

ELEMENTS FOR LEISURE TIME TRAVEL

Local Food

Culture

Shopping

DEMOGRAPHIC

Weather

Natural Beauty

Historical Importance

Geographical

CONCERNS IN LEISURE TRAVEL

Safety Expense

Health Connectivity

INDEPENDENT SAMPLE T-TEST

• T-Test was carried out where grouping variable is gender & test variable are parameters rated according to their importance during leisure travel by respondents.

Null Hypothesis(H0)= there is no difference in preferences amongst male and female

Alternate Hypothesis(H1)= there is difference in preferences amongst male and female

As P-value is greater than 0.05 so, we accept the null hypothesis.

• T-Test was carried out where grouping variable is gender & test variable are elements that respondents look forward to during their leisure travel.

Null Hypothesis(H0)= there is no difference in preferences amongst male and female

Alternate Hypothesis(H1)= there is difference in preferences amongst male and female

The P-value is greater than 0.05 in all cases except for shopping destination & historical importance as elements to look for during leisure travel. Thus, null hypothesis is rejected in these cases.

• T-Test was carried out where grouping variable is marital status & test variable are elements that respondents look forward to during their leisure travel.

Null Hypothesis(H0)= there is no difference in preferences among married & unmarried people

Alternate Hypothesis(H1)= there is difference in preferences among married & unmarried people

The P-value is greater than 0.05 in all cases except for local culture as an element to look for during leisure travel. Thus, null hypothesis is rejected in this case.

ANOVA TEST

• Anova Test was carried out where independent variable is age group & dependent variable are parameters rated according to their importance during leisure travel by respondents.

Null Hypothesis(H0)= there is no difference in preferences for various age groups

Alternate Hypothesis(H1)= there is difference in preferences for various age groups

As P-value in all the cases is greater than 0.05 so, we accept the null hypothesis.

• Anova Test was carried out where independent variable is monthly income group & dependent variable are parameters rated according to their importance during leisure travel by respondents.

Null Hypothesis(H0)= there is no difference in preferences for various income groups

Alternate Hypothesis(H1)= there is difference in preferences for various income groups

The P-value is greater than 0.05 in all cases except for cost & safety parameters. Thus, null hypothesis is rejected in these cases.

• Anova Test was carried out where independent variable is age group & dependent variable are elements that respondents look forward to during their leisure travel.

Null Hypothesis(H0)= there is no difference in preferences for various age groups

Alternate Hypothesis(H1)= there is difference in preferences for various age groups

As P-value in all the cases is greater than 0.05 so, we accept the null hypothesis.

• Anova Test was carried out where independent variable is monthly income group & dependent variable are elements that respondents look forward to during their leisure travel.

Null Hypothesis(H0)= there is no difference in preferences for various income groups

Alternate Hypothesis(H1)= there is difference in preferences for various income groups

As P-value in all the cases is greater than 0.05 so, we accept the null hypothesis.

• Anova Test was carried out where independent variable is monthly income group & dependent variable is budget per individual that the respondents are willing to spend on their travel.

Null Hypothesis(H0)= there is no difference in preferences for various income groups

Alternate Hypothesis(H1)= there is difference in preferences for various income groups

As P-value is less than 0.05 so, null hypothesis is rejected.

• For consumer of lower income group cost and safety are major concerns.

• Amount per individual spend on leisure activity for lower income group is comparatively lower .

• Female prefer shopping destination .

• Males prefer to go to places of historical importance.

• Local culture as an element varies on marital status.

• Female while travelling in India prefer a male companion but while travelling to foreign destination the same trend is not followed.

CONCLUSION

• Business and service sector people go on leisure travel with a motive of relaxation and escape from mundane day to day life.

• With Graduation and service as a parameter the mode of transport preferred by most is waterways followed closely by roadways and airways.

• People prefer to go to religious destinations with their parents and to hill stations & beaches with friends or spouse.

• Frequency of the travelling increase with the increase in monthly income.

CONCLUSION

LIMITATIONS• Small sample size of 119 respondents

• Survey in Delhi only

• Biasness due to convenience sampling

• http://www.dnb.co.in/Travel_Tourism/Indian_Travel_and_Tourism_Industry.asp

• The diversity of travel behaviour: motives and social interactions in leisure time activities by Stauffacher M., Schlich R., Axhausen K. W., Scholz R.W.

• Leisure – meaning and impact on leisure travel behavior by Umashankar Venkatesh

• Fodness, Dale and Brian, Murray (1999) ‘A model of tourist information search behavior’,

• Journal of Travel Research, 37:February, 220-230.

• Crompton, J.L. (1979) ‘Motivations for pleasure vacations’ Annals of Tourism Research, 6:4, pp. 408-424.

REFERENCES