Individual Tour Generation and Scheduling Model ¶
Overview ¶
The Individual Tour Generation and Scheduling Model determines the non-mandatory travel activities that individuals undertake independently, separate from mandatory activities (work/school) and household joint activities. This model captures personal discretionary travel behavior and individual activity participation patterns.
Model Purpose ¶
Primary Function: Generate individual tours for discretionary activities based on personal preferences, time availability, and household constraints after accounting for mandatory activities and joint household travel.
Key Decisions:
- Number and type of individual discretionary tours
- Activity purpose and priority scheduling
- Timing coordination with mandatory activities
- Resource allocation between competing activities
- Independence vs. household coordination trade-offs
Behavioral Foundation ¶
Individual Activity Theory ¶
Personal Utility Maximization: Individuals seek to maximize satisfaction from discretionary activities subject to:
- Time Budget Constraints: Available time after mandatory activities
- Resource Constraints: Personal income, vehicle access, household responsibilities
- Energy and Attention: Physical and mental capacity for additional activities
- Social Preferences: Desire for individual vs. social activities
- Skill and Interest: Capability and motivation for specific activities
Activity Substitution and Complementarity:
- Substitutable Activities: Shopping vs. online purchasing, entertainment alternatives
- Complementary Activities: Fitness and health services, hobby-related activities
- Activity Chaining: Efficient combination of multiple purposes in single tour
- Temporal Flexibility: Activities that can be rescheduled vs. time-specific activities
Individual vs. Household Activity Allocation ¶
Personal Autonomy Factors:
Life Stage Independence:
- Teenagers: Increasing independence, peer influence
- Young Adults: Maximum individual autonomy
- Parents: Individual time limited by family responsibilities
- Seniors: Renewed individual freedom, possible mobility constraints
Employment Effects:
- Work Schedule Flexibility: Individual time availability patterns
- Work-Related Stress: Need for individual relaxation and recreation
- Professional Networks: Work-related social and business activities
- Travel Benefits: Employer transportation subsidies and parking
Household Context Integration:
- Available individual time after joint household activities
- Personal vehicle access and priority within household
- Individual budget allocation within household finances
- Coordination to avoid activity conflicts with other members
Activity Purpose Categories ¶
Shopping Activities (Individual) ¶
Clothing and Personal Items:
- Characteristics: Personal preference-driven, style and fit considerations
- Typical Participants: Individual adults, teenagers with independence
- Timing: Weekend and evening hours, seasonal shopping periods
- Benefits: Personal choice autonomy, immediate need satisfaction
Specialty Shopping:
- Characteristics: Hobby supplies, professional equipment, specialty foods
- Typical Participants: Adults with specific interests or professional needs
- Timing: Flexible, often combined with other activities
- Benefits: Expert product selection, comparison shopping
Personal Business ¶
Health and Medical Services:
- Characteristics: Routine check-ups, personal care, fitness activities
- Typical Participants: All adults, some independent teenagers
- Timing: Appointment-based, often weekday business hours
- Benefits: Privacy, individual health management
Financial and Administrative:
- Characteristics: Banking, government services, personal appointments
- Typical Participants: Adults responsible for personal affairs
- Timing: Business hours, often requires scheduled appointments
- Benefits: Personal financial management, privacy requirements
Social and Recreation (Individual) ¶
Personal Fitness and Wellness:
- Characteristics: Gym, sports, individual recreation activities
- Typical Participants: Health-conscious adults, athletes
- Timing: Regular schedule patterns, early morning or evening
- Benefits: Personal health goals, stress relief, individual achievement
Social Networking:
- Characteristics: Meeting friends, dating, professional networking
- Typical Participants: Adults with active social lives
- Timing: Evening and weekend social hours
- Benefits: Personal relationship development, career advancement
Hobby and Interest Activities:
- Characteristics: Classes, workshops, cultural events
- Typical Participants: Adults with specific interests and available time
- Timing: Scheduled class times, event-based
- Benefits: Personal development, skill building, creative expression
Model Structure and Specification ¶
Tour Generation Framework ¶
Individual Activity Propensity:
U_Individual_Activity = ASC_purpose +
beta_time_available * discretionary_time +
beta_age * age_category +
beta_gender * gender_effects +
beta_income * personal_income +
beta_employment * employment_status +
beta_lifecycle * household_lifecycle +
beta_auto_access * individual_auto_access +
beta_density * residential_density +
beta_day_type * weekend_holiday_indicator
Key Explanatory Variables:
Personal Time Availability:
Discretionary_Time = Total_Daily_Time -
Mandatory_Work_Time -
Mandatory_School_Time -
Joint_Household_Time -
Personal_Maintenance_Time -
Sleep_Time
Available_Windows = Time periods not constrained by fixed commitments
Coordination gaps between mandatory activities
Flexible time around household responsibilities
Individual Resources:
Personal_Income = Individual earnings and allowances
Discretionary spending capability
Activity budget allocation within household
Auto_Access_Priority = Vehicle availability for individual use
Driving capability and licensing
Household vehicle allocation decisions
Social_Capital = Personal network requiring activity participation
Professional relationships and obligations
Friend and peer group activity coordination
Activity Purpose-Specific Models ¶
Shopping Tour Generation:
U_Shopping = ASC_shop +
beta_income * household_income +
beta_retail_access * retail_accessibility +
beta_previous_shop * recent_shopping_tours +
beta_online * online_shopping_preference +
beta_gender * gender_shopping_preferences +
beta_weekend * weekend_indicator
Personal Business Tour Generation:
U_Personal_Business = ASC_pb +
beta_age * age_health_needs +
beta_service_access * service_accessibility +
beta_appointment * scheduled_appointment_need +
beta_weekday * business_hours_availability +
beta_auto_required * vehicle_dependency
Social/Recreation Tour Generation:
U_Social_Recreation = ASC_social +
beta_age * age_recreation_preferences +
beta_social_network * social_connections +
beta_recreation_access * recreation_accessibility +
beta_discretionary_income * disposable_income +
beta_weekend_evening * leisure_time_availability
Temporal and Spatial Patterns ¶
Activity Timing Patterns ¶
Weekday Individual Activities:
Morning (6-9 AM): Personal fitness, early appointments
Mid-Day (9 AM-3 PM): Personal business, shopping (non-workers)
Evening (5-9 PM): Shopping, social activities, personal fitness
Late Evening (9-11 PM): Social activities, entertainment
Constraints: Work schedule coordination
Household meal and family time
Service and retail operating hours
Traffic and transit service levels
Weekend Individual Activities:
Saturday Morning: Shopping, personal business, fitness
Saturday Afternoon: Recreation, social activities, hobbies
Saturday Evening: Social activities, entertainment, dining
Sunday: Personal care, preparation activities, relaxation
Flexibility: Reduced work constraints
Extended retail and service hours
Social activity opportunities
Family time coordination requirements
Spatial Activity Patterns ¶
Local Area Activities (within 5 miles):
- Personal services, routine shopping, neighborhood recreation
- Walking and cycling feasible for some activities
- Familiar destinations with established service relationships
Regional Activities (5-20 miles):
- Specialty shopping, entertainment venues, cultural activities
- Auto-dependent due to distance and activity duration
- Destination choice based on quality and variety
Distant Activities (20+ miles):
- Unique destinations, special events, visiting friends/family
- Primarily auto mode, some transit for specific destinations
- Infrequent but potentially long-duration activities
Demographic and Life Stage Variations ¶
Age-Based Activity Patterns ¶
Young Adults (18-34):
High Individual Activity Rates:
- Social and recreation activities peak
- Career development and networking activities
- Fitness and wellness priorities
- Entertainment and cultural participation
Activity Characteristics:
- Flexible timing with work schedule coordination
- High willingness to travel for preferred activities
- Technology-integrated activity selection and coordination
- Budget-conscious but experience-focused spending
Middle-Aged Adults (35-54):
Moderate Individual Activity Rates:
- Personal business and health activities prioritized
- Stress-relief recreation (fitness, hobbies)
- Professional development and networking
- Personal shopping efficiency focus
Activity Characteristics:
- Time-constrained due to family and work responsibilities
- Efficiency-focused activity bundling and scheduling
- Quality-focused activity selection within time constraints
- Higher discretionary income enabling premium services
Older Adults (55+):
Selective Individual Activity Rates:
- Health and wellness activities emphasized
- Social activities with established networks
- Hobby and interest-based activities
- Personal business and financial management
Activity Characteristics:
- Flexible timing with retirement or reduced work
- Comfort and accessibility preferences in destinations
- Established activity patterns and service relationships
- Mobility considerations affecting activity participation
Employment Status Effects ¶
Full-Time Workers:
- Limited weekday individual activity opportunities
- Weekend concentration of individual activities
- Lunch-hour activities for personal business
- Evening activities constrained by commute and fatigue
Part-Time/Flexible Workers:
- Mid-day individual activity opportunities
- More distributed activity timing patterns
- Ability to schedule activities during off-peak times
- Coordination with work schedule variations
Non-Workers (retirees, homemakers, unemployed):
- Maximum temporal flexibility for individual activities
- Weekday activity opportunities during less crowded periods
- Potential budget constraints limiting activity participation
- Social activities may substitute for work-based social interaction
Integration with Other Model Components ¶
Coordination with Mandatory Activities ¶
Work Schedule Integration:
- Individual activities fit around work commitments
- Lunch-break activities and nearby workplace opportunities
- Commute-based activity chaining and route deviation
- Work-related stress and the need for recreational balance
Household Responsibility Coordination:
- Individual activities scheduled around family obligations
- Childcare responsibilities limiting individual activity timing
- Household maintenance tasks affecting available time
- Elder care responsibilities and coordination requirements
Vehicle and Resource Allocation ¶
Household Vehicle Sharing:
Priority Hierarchy:
1. Mandatory work/school activities
2. Joint household activities
3. Individual activities by household member priority
4. Flexible individual activities
Allocation Factors:
- Driver capability and licensing status
- Activity urgency and scheduling flexibility
- Household member bargaining power and preferences
- Alternative transportation mode availability
Budget Allocation:
- Individual discretionary spending within household budget
- Activity cost considerations and trade-offs
- Shared household expenses vs. individual activity costs
- Income and resource equity within household
Data Requirements and Model Estimation ¶
Data Sources for Model Estimation ¶
Activity-Based Travel Surveys:
- Individual activity participation patterns by demographics
- Activity timing, duration, and location preferences
- Coordination with household members and schedules
- Stated preferences for activity trade-offs and priorities
Time Use Surveys:
- Time allocation patterns for discretionary activities
- Activity participation rates by purpose and demographics
- Seasonal and day-of-week activity variations
- Work-life balance and individual activity integration
Activity Generation Calibration Targets ¶
Individual Tour Rates by Demographics:
Young Adults (18-34):
- Shopping: 2.8 individual tours per week
- Personal Business: 1.2 individual tours per week
- Social/Recreation: 3.1 individual tours per week
Middle-Aged Adults (35-54):
- Shopping: 2.1 individual tours per week
- Personal Business: 1.6 individual tours per week
- Social/Recreation: 1.8 individual tours per week
Older Adults (55+):
- Shopping: 1.9 individual tours per week
- Personal Business: 1.4 individual tours per week
- Social/Recreation: 2.2 individual tours per week
Employment Status Variations:
- Full-time workers: 20% fewer individual activities on weekdays
- Part-time workers: More evenly distributed activity timing
- Non-workers: Higher weekday activity rates, lower weekend rates
Model Validation and Performance ¶
Behavioral Validation:
- Realistic time allocation between mandatory and discretionary activities
- Appropriate demographic and life stage activity variations
- Reasonable coordination with household joint activities
- Consistent activity timing and duration patterns
Aggregate Validation:
- Total individual activity generation matching survey observations
- Activity purpose distribution consistent with revealed preferences
- Geographic activity distribution reflecting accessibility patterns
- Seasonal and temporal activity variations matching observed data
Policy Applications and Insights ¶
Transportation System Planning ¶
Off-Peak Travel Demand:
- Individual activities contribute significantly to off-peak travel
- Transit service planning for discretionary travel markets
- Parking demand at retail and service destinations
- Traffic pattern implications beyond peak commuting periods
Mode Choice and Accessibility:
- Individual activity accessibility by transportation mode
- Transit service design for discretionary travel purposes
- Walking and cycling infrastructure supporting local individual activities
- Ride-sharing and new mobility service integration
Land Use and Economic Development ¶
Commercial and Service Location Planning:
- Individual activity demand supporting local business districts
- Mixed-use development facilitating activity chaining and efficiency
- Neighborhood-scale services supporting local individual activities
- Regional destinations serving specialized individual activity markets
Work-Life Balance Policy Analysis ¶
Flexible Work Schedule Impacts:
- Telecommuting effects on individual activity timing and location
- Compressed work week impacts on activity concentration patterns
- Flexible scheduling enabling better individual activity accommodation
- Work-life balance policies and individual activity satisfaction
Transportation Demand Management:
- Individual activity timing flexibility for congestion management
- Pricing policies affecting discretionary travel timing
- Activity-based incentives for off-peak travel and mode shift
- Integrated mobility services supporting individual activity needs
This Individual Tour Generation and Scheduling Model provides crucial insights into personal discretionary travel behavior, enabling transportation planning that serves individual activity needs while recognizing the complex coordination requirements within households and communities.