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Transit Market Research Using Attitudinal Market Segmentation, Structural Equation Modeling and Mode Choice Modeling Yoram Shiftan, The Technion Maren.

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Presentation on theme: "Transit Market Research Using Attitudinal Market Segmentation, Structural Equation Modeling and Mode Choice Modeling Yoram Shiftan, The Technion Maren."— Presentation transcript:

1 Transit Market Research Using Attitudinal Market Segmentation, Structural Equation Modeling and Mode Choice Modeling Yoram Shiftan, The Technion Maren Outwater, Cambridge Systematics YuShuang Zhou, Cambridge Systematics 5th Israeli-British/Irish Workshop in Regional Science Ramat Gan, April 2007 2 3 1 3

2 Building a Competitive Strategy
What kinds of strategies can best seize these opportunities? Strategies Which segments in which travel markets should transit services compete for? Competitive Positioning What will be the likely funding and cooperation? Resources What are the market segments and where are they located? Market Segments What are the key attitudes and preferences that drive traveler choices? Travel Behavior

3 From Market Research to Service Planning
Locate Market Segments Competitive Positioning Customer Experience System Performance Network Structure Understand Travel Markets Service Planning Transit Priority Personal Safety Seating Comfort Segment Market

4 Market Research Analysis Flow Chart
Attitude-Based Survey Stated-Preference Survey (WTA) Exploratory Factor Analysis Confirmatory Factor Analysis Structural Equation Modeling Market Segmentation Mode Choice (WTA) Market Segmentation Application

5 Attitude-Based Survey Results (UTA)
10 9 8 UTA Statements WTA - 30 Statements 7 Score 6 5 4 3 Attitudinal Statements 1. Driving is the fastest way 9.0 1. Avoid traveling at stressful time 5.1 2. Public transportation help the environment 8.5 2. Need to make trips to various locations 5.1 3. Clean vehicle is important 8.4 3. Don't mind transfers 4.9 4. Like to keep to my schedule when travel 8.0 4. Avoid some areas that are unsafe 4.8 5. Prefer travel options with predicted time 7.8 5. Prefer driving to be alone 4.7 TOP TEN BOTTOM TEN 6. It is imptant to have comfortable seats 7.7 6. Travel mostly during peak time 4.4 7. Like to know the cause of delay 7.6 7. Worry about getting into an accident 4.1 8, Driving should pay more to help Envirenment 8. Feel safe near home or destianton 7.5 4.1 9. Important to change travel plans at a moment 7.5 9. Use Public transportation if it was cheaper 4.0 10. Feel savfe using PT 7.3 10. I am usually anxious when travel 3.1

6 Confirmatory Factor Analysis (UTA)
Desire to Help the Environment Desire for Productivity and Reliability Sensitivity to Time Sensitivity to Safety and Privacy Need for Fixed Schedule Sensitivity to Stress and Comfort Willingness to Use Transit

7 Desire to Help the Environment
I would be willing to pay more when I travel if it would help improve air quality People who drive alone should pay more to help improve air quality (.89) I would switch to a different form of transportation if it would reduce air pollution (.86) Use of public transportation can help improve air quality (.28)

8 Desire for Productivity and Reliability
I would like to make productive use of my time when I travel I would much rather do something else with the time that I spend traveling (.82%) I prefer a travel option that has predictable travel time from day to day (.73%) If my travel option is delayed, I want to know the cause and length of the delay (.68%) When traveling, I like to keep as close as possible to my departure and arrival schedules (.68%)

9 Sensitivity to Time I am usually in a hurry when I make a trip
I would change my form of travel if it would save me some time (.93%) I use the fastest form of transportation regardless of cost (.85) Driving is usually the fastest way to get where I need to go (.52)

10 Sensitivity to Safety and Privacy
I do mind traveling with strangers I do not feel safe using public transportation (.85) Having my privacy is important to me when I travel (.61) I prefer driving because I like to be alone while I travel (.56) I do not feel safe walking both near my home and near my destination (.55) I avoid traveling through certain areas because they are unsafe (.51) When traveling, I do not like to talk and visit with other people (.26) I worry about getting in an accident when I travel (.21)

11 Need for Fixed Schedule
I need to travel mostly during rush hour times I need to make trips according to a fixed schedule (89%)

12 Sensitivity to Stress and Comfort
Having a stress-free trip is more important than reaching my destination quickly I avoid traveling at certain times because it is too stressful (73%) I don’t mind delays as long as I am comfortable (64%) It is important to have comfortable seats when I travel (26%) A clean vehicle is important to me (18%)

13 Willingness to Use Transit
I wouldn’t mind walking a few minutes to get to and from a bus or a TRAX stop I would ride transit if services were available to my destination when I need to travel (88%) If I rode public transportation I wouldn’t mind changing between buses or between bus and TRAX (78%) I know how to reach my destination using public transportation (64%) I would use public transportation more often if it was cheaper to ride (36%)

14 Attitude Factors (the WTA case)
Need for Flexibility Sensitivity to Personal Travel Experience Desire to Help the Environment Need for Time Savings Insensitivity to Transport Costs Sensitivity to Stress

15 Structural Equation Modeling (UTA)
Attitudinal Statements (Endogenous) Attitudinal Factors (Latent) Socioeconomic Status (Exogenous) Environment. Productivity & Reliabiity Sensitivity to Time Privacy & Safety Fixed Schedule Stress & Comfort Willingness to Use transit V1 EV1 EQ1 Q1 Q2 V2 EV2 EQ2 EQ3 Q3 V3 EV3 EQ37 Q37 V27 EV37 EQ38 Q38 V28 EV38 Travel Behaviors

16 Goals of Market Segmentation
to produce distinct groups (i.e., segments) with maximized difference between groups and minimized difference within each group Between Segments The differences among segments are maximized Within Each Segments The differences within each segment are minimized

17 Market Segmentation (UTA)
Sensitivity to Time Low Sensitivity of Time High Sensitivity of Time All Travelers Flexible Schedule Fixed Need for Fixed Schedule No Transit Transit Willingness to Use Transit Anxious Amblers None of These Factors Transit Green Riders Fixed Schedule Productive 9 to 5-ers Fixed Schedule and Transit Routine Riders Time Cautious Flyers Time and Transit Green Flyers Time and Fixed Schedule Cautious 9 to 5-ers Time, Fixed Schedule and Transit Routine Flyers Market Segments Attitudinal Focus

18 Cautious Flyers Low desire to improve air quality
Lowest willingness to use transit High desire for productivity, high sensitivity to safety and privacy, and low sensitivity to stress and comfort. Flexible schedule, yet high sensitivity to time. The majority of this segment is young married female with kids, most of them are in one-worker and two-vehicle household. More than 75% of this segment are homemakers and students. Only 35% of the population in this segment need to travel more than 0.5 mile to work, nobody uses transit as the primary mode for either work or other trips.

19 Green Riders High desire to improve air quality
Segment with highest willingness to use transit Low desire for productivity and reliability, low sensitivity to time, and very flexible schedule. Least sensitive segment to safety and privacy, but highly sensitive to stress and comfort. High share of retired population (50%) and of students (5%) All households own vehicles, most of them own one. 25% of this segment needs to travel more than 0.5 mile to work/school, 6% use transit as the primary mode for work/school trips, and 15% use transit for non-work trips

20 Number of Workers in the Household
100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Anxious Amblers Green Riders Productive 9 to 5-ers Routine Riders Cautious Flyers Green Flyers Cautious 9 to 5-ers Routine Flyers 1 2 >=3

21 People Who Travel More Than ½ Mile For Work and School Trips
Percent 91% 90% 90 87% 85% 75 60 44% 45 35% 30 26% 15 13% 11% 9% 7% 6% 6% 0% 0.0% 1% Anxious Amblers Green Riders Productive 9 to 5-ers Routine Riders Cautious Flyers Green Flyers Cautious 9 to 5-ers Routine Flyers Share using public transit for work/school trips

22 Market Segmentation Competitive Positioning
Tougher Markets Toughest Markets High Desire for Safety and Privacy and Comfort Relatively Low-Hanging Fruit Tough but Possible Low Low High Value of Time

23 Market Segments 30 25 20 15 10 5 Routine Flyers 33% Anxious Amblers
5 10 15 20 25 30 Anxious Amblers 21% Cautious 9 to 5-ers 20% Percent Routine Riders 9% Green Riders 7% Productive 9 to 5-ers 4% Cautious Flyers 4% Green Flyers 2%

24 Geogarphic Details of Market Segments
One of two PUMA in Salt Lake County Geogarphic Details of Market Segments Block Groups Census Tracts

25 Market Segmentation (WTA)
All Trans-Bay Trippers Factor One Modest Environmental Strong Environmental Factor Two Less Time Savings More Time Factor Four Less Stressed More Less Stressed Joe Six-Pack None of These Factors Market Segment Focus Anxious Ambler Stress Calm Charger Time Frazzled Flyer Time and Stress Environment Green Cruiser Reserved Recycler Environment and Stress Relaxed Runabout Environment and Time Tense Trekker Environment, Time, and Stress

26 WTA Mode Choice Model Constants Modes HBW HBO/Shop HBRec Carpool Auto
-0.21 -0.33 -1.44** BART Transit 1.86** 1.32* 2.17** Other rail 0.59 0.64 1.51 Bus 0.96* -0.11 1.27 Ferry 0.018 0.24 -0.65 Drive access -1.68** 0.015 Transit access/egress -068** -0.29 -0.55* LOS Total cost Rail/bus ** ** ** ** * ** ** ** In vehicle time -0.037** -0.025** -0.046** -0.023** -0.016** -0.039** -0.024** -0.017** -0.029** Walk time -0.030** -0.028** Walk access/egress time -0.060 -0.048** -0.062** Drive access time -0.108** -0.069** -0.061** Out of vehicle time -0.043** -0.039 -0.025 Total travel time Time sensitive MS ** **

27 WTA Mode Choice Model - Continue
Socioeconomic Modes HBW HBO/Shop HBRec Household income Drive alone 4.4E-6* -9.2E-7 -6.9E-6** Rail/bus drive access 7.1E-6** 7.1E-6* -1.7** Ferry drive access 1.5E-5** -2.1E-6 -1.2E-5** Rail/bus transit access -2.1E-7 -5.3E-7 -2.4E-5** Ferry walk/tran access 7.4E-6 1.2E-5** -1.5E-5** Vehicle per household 0.136* 0.419** 0.070 Rail/bus walk/tran accss -o.604** -0.346* 0.018 Ferry walk/transit access -0.496** -0.128 -0.083 0.026 0.306** 0.100 -0.281** 0.416** -0.263 Additional Constants Market Segments Auto modes Stress-related MS 1.067** 0.574** Ferry modes 0.125 0.757** -- Carpool transit ferry Pro-environment MS 0.720** Summary statistics Final log likelihood Rho-Square wrt zero 0.328 0.393 0.458 Rho-Square wrt cons. 0.119 0.093 0.111 Auto VOT $17.07 $21.34 $18.47 Bus/Rail VOT $3.65 $3.49 $3.70 Ferry VOT $4.60 $8.14 $6.82

28 Conlusions To increase transit market share we need to understand the market place according to the key attitudes potential customers most value. Structural Equation Modeling is a powerful tool to improve our understanding of travel behavior and to improve transit services. This approach can significantly increase out ability to answer important questions for better transit planning such as: What attitudes and preferences drive each market segment’s choice for local travel options? What strategies would be most effective for each market segment? What are the “easy-to-reach” (and “hard to reach”) markets? What strategies are most likely to be effective in different locations?

29 For Example Market segments with a high value of time and a high need for safety and privacy (such as Cautious 9 to 5-ers in the UTA study) are more difficult to serve with fixed-route transit systems. Market segments with a low value of time and low need to privacy (such as Green Riders in the UTA Study) are more likely served by models improvements to existing transit services.

30 Thank you for your attention!

31 Anxious Amblers Low desire to help the environment
Low willingness to use transit Low desire for productivity and reliability Low sensitivity to time and flexible schedule High sensitivity to safety and privacy Most sensitive segment to stress and comfort High concentration of old retire female population Low to middle income level (up to $100,000) Only 7% of this segment needs to travel more than 0.5 mile to work, and nobody uses transit as the primary mode for work trips. Only 4% use transit for non-work trips.

32 Green Flyers Highest desire to help the environment, and high willingness to use transit. High sensitivity to time, but low desire for productivity and reliability, flexible schedule, low sensitivity to safety and privacy, and low sensitivity to stress and comfort. Most of the people in this segment are young and middle aged, employed, and from a one worker household. More than half of this segment have an income below $50,000. Only 44% of this segment need to travel more than 0.5 mile to work/school, 11% of them use transit as primary mode for commute, and 22% uses transit for non-work trips.

33 Mode Share for Work/School Trips


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