Submitted:
10 October 2024
Posted:
14 October 2024
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Abstract
Keywords:
1. Introduction
2. Objectives of the Study
3. Scope and Limitation of the Study
3.1. Scope of the Study
- Geographical Scope: The research is concentrated in Pathum Thani Province, which features a wide array of tourism sites such as cultural landmarks, historical attractions, natural parks, and commercial entertainment venues. The province’s close proximity to Bangkok enhances its accessibility, making it an ideal location for studying tourism logistics.
- Temporal Scope: The data collection and analysis for this research will occur in 2024, specifically from January to July. This period follows the recovery of the tourism sector after the COVID-19 pandemic, allowing for an assessment of logistics management in a post-pandemic context as tourism activities resume and grow.
- Population Scope: The research will focus on tourists who have previously visited Pathum Thani. A sample of 400 individuals will be selected through random sampling, aiming to gather diverse perspectives from tourists of different ages and backgrounds regarding their experiences and satisfaction levels with the logistics services provided.
3.2. Limitations of the Study
- Generalizability: The findings of this research may be limited to Pathum Thani and may not be applicable to other regions in Thailand or abroad. Differences in infrastructure, tourism policies, and cultural contexts could affect the applicability of the results.
- Sample Representation: The study relies on self-reported data from tourists, which may introduce bias or subjectivity in the assessment of satisfaction levels and experiences. The sample may not fully represent the entire tourist population, particularly if certain demographics are underrepresented.
- Temporal Constraints: The research will only capture data during the specified timeframe in 2024. Changes in tourism dynamics, logistics systems, or external factors affecting the tourism industry after this period will not be reflected in the study.
- Focus on Logistics Management: While the study aims to enhance tourism value and satisfaction, the primary focus is on logistics management. Factors outside the logistics framework, such as marketing strategies, local community engagement, and broader economic conditions, may also influence tourism development but will not be extensively covered in this research.
4. Significance of the Study
- Enhancing Tourism Value: By proposing strategies to enhance the tourism value of Pathum Thani, this study aims to improve the overall attractiveness of the province as a tourist destination. The recommendations provided can help local authorities and tourism operators develop more appealing and diverse tourism offerings, thereby increasing visitor numbers and generating higher revenue for the local economy.
- Improving Tourist Satisfaction: Understanding the satisfaction levels of tourists regarding current logistics systems is crucial for enhancing the visitor experience. This research will provide insights into tourists’ perceptions and preferences, enabling stakeholders to make informed decisions that address their needs. Enhanced satisfaction can lead to increased repeat visits and positive word-of-mouth promotion, further benefiting the tourism industry.
- Promoting Sustainable Practices: The study emphasizes the importance of sustainable tourism logistics management. By offering recommendations for sustainable practices, it seeks to minimize the negative environmental impacts associated with tourism activities. This approach not only protects the province’s natural resources but also aligns with global trends towards sustainable tourism, positioning Pathum Thani as a forward-thinking destination.
- Guiding Policy and Decision-Making: The findings of this research will serve as a valuable resource for policymakers, tourism planners, and industry stakeholders. The insights gained can guide strategic planning and decision-making processes related to tourism development and logistics management, ensuring that they are aligned with sustainable principles and responsive to the evolving needs of tourists.
- Contributing to Academic Knowledge: This study adds to the existing body of knowledge in the fields of tourism management and logistics. By examining the specific context of Pathum Thani, it contributes to a better understanding of the dynamics of tourism logistics in Thailand and provides a basis for further research in related areas.
- Encouraging Local Community Engagement: The research highlights the role of local communities in tourism development. By considering the perspectives of tourists visiting key attractions in Pathum Thani, the study promotes the involvement of tourists in tourism planning and logistics management, fostering a sense of ownership and responsibility towards local tourism resources. This approach allows tourists to contribute their feedback and insights to help enhance the planning and management of tourism and logistics.5. Review of Related Literature and Studies
5.1. Overview of Pathum Thani Province

5.2. The Role of Tourism in Thailand’s Economy
5.3. Logistics Management in Tourism

5.4. Sustainable Tourism Practices
5.5. Tourist Satisfaction and Experience
5.6. Challenges in Tourism Logistics
5.7. Pathum Thani’s Tourism Potential
5.8. Green Logistics Management
6. Conceptual Framework
6.1. Logistics Components
- Physical: Infrastructure such as transportation routes and facilities that directly affect tourist access.
- Informational: Systems that provide timely and relevant information to tourists, aiding in their decision-making and navigation.
- Financial: Funding and financial resources necessary for developing and maintaining tourism logistics.
- Service: The quality and efficiency of services provided to tourists, including transportation and accommodation.
- Location: Strategic positioning of attractions and services that facilitate easy access for tourists.
- Personnel: Skilled staff who can manage logistics effectively and provide assistance to tourists.
- Facilities: Amenities that support tourists, such as rest areas and visitor centers.
6.2. Logistics Management
- Physical of Transportation: Efficient transportation and movement of tourists and goods.
- Flow of communication and information, and the management of technology: The use of modern technologies to streamline operations and improve service delivery.
- Flow of environmental management (related to Green Logistics): Practices aimed at minimizing environmental impacts and promoting sustainable tourism.
6.3. Tourist Satisfaction
6.4. Readiness of Key Tourist Attractions in Pathum Thani Province

7. Research Methodology
7.1. Research Design
7.2. Target Population and Sampling
- Sample Size Determination: Based on Cochran’s formula and a target population of 100,000 tourists, the desired sample size is calculated with a 95% confidence level and a 5% margin of error. After considering statistical recommendations and feasibility, the study concludes that 400 respondents will provide sufficient data to achieve reliable results. This sample size is considered optimal to balance precision with logistical constraints.
- Stratification Criteria: The sample will be stratified based on various demographics of Thai tourists to ensure a well-rounded representation. Key tourist attractions in Pathum Thani will be used as sampling locations, including Wat Bot, Wat Chedi Thong, Wat Chinwararam Worawihan, Bueng Kum, Pathumwanaram Park, Dream World Amusement Park, National Science Museum, and Khlong Sam Floating Market.
7.3. Data Collection
- Demographic Information: Includes questions about the respondents’ age, gender, nationality, and purpose of visit.
- Tourism Logistics and Satisfaction: This section assesses the tourists’ satisfaction with various logistics-related factors using a 5-point Likert scale (1 = very dissatisfied, 5 = very satisfied). The key areas covered are:
- Transportation: Ease of access to tourist attractions, public transportation quality, and traffic conditions.
- Facilities: Availability and quality of tourist facilities such as restrooms, information centers, and parking.
- Accessibility: Convenience of accessing tourist sites and the efficiency of transport links between them.
- Service Quality: Tourist satisfaction with services provided, such as guided tours, assistance from staff, and information availability.
7.4. Data Analysis
- Descriptive Statistics: Mean, median, and standard deviation will be calculated to summarize tourists’ satisfaction across different logistics dimensions.
-
Inferential Statistics:
- T-tests will be used to determine if there are significant differences in satisfaction between groups (e.g., domestic vs. international tourists).
- One-way Analysis of Variance (ANOVA): Employed to compare the mean scores of three or more groups based on demographic variables such as age, income, and occupation. If the ANOVA results show statistically significant differences at the 0.05 level, further pairwise comparisons will be conducted using Scheffe’s Method to identify which specific groups differ significantly.
- Regression Analysis: Multiple regression analysis will be used to identify which logistics factors (e.g., transportation, facilities) most significantly influence overall tourist satisfaction. This will help to determine which areas require improvement to enhance the tourist experience.
7.5. Hypotheses
-
Hypothesis 1 (H1): There is a significant difference in tourist satisfaction based on gender.
- Null Hypothesis (H0): Gender differences do not affect tourist satisfaction with tourism logistics in Pathum Thani.
- Alternative Hypothesis (H1): Gender differences significantly affect tourist satisfaction with tourism logistics in Pathum Thani.
- 2.
-
Hypothesis 2 (H2): There is a significant difference in tourist satisfaction based on age.
- Null Hypothesis (H0): Age differences do not affect tourist satisfaction with tourism logistics in Pathum Thani.
- Alternative Hypothesis (H1): Age differences significantly affect tourist satisfaction with tourism logistics in Pathum Thani.
- 3.
-
Hypothesis 3 (H3): There is a significant difference in tourist satisfaction based on income.
- Null Hypothesis (H0): Income differences do not affect tourist satisfaction with tourism logistics in Pathum Thani.
- Alternative Hypothesis (H1): Income differences significantly affect tourist satisfaction with tourism logistics in Pathum Thani.
- 4.
-
Hypothesis 4 (H4): There is a significant difference in tourist satisfaction based on occupation.
- Null Hypothesis (H0): Occupation differences do not affect tourist satisfaction with tourism logistics in Pathum Thani.
- Alternative Hypothesis (H1): Occupation differences significantly affect tourist satisfaction with tourism logistics in Pathum Thani.
- 5.
-
Hypothesis 5 (H5): There is a significant difference in tourist satisfaction based on region of origin (domestic vs. international tourists).
- Null Hypothesis (H0): Regional origin does not affect tourist satisfaction with tourism logistics in Pathum Thani.
- Alternative Hypothesis (H1): Regional origin significantly affects tourist satisfaction with tourism logistics in Pathum Thani.
7.6. Reliability and Validity
- Reliability: The reliability of the questionnaire will be tested using Cronbach’s alpha to measure internal consistency. In addition, the Index of Item-Objective Congruence (IOC) will be applied to evaluate the relevance of each question to the research objectives. A pilot test with 30 tourists will be conducted to refine the questionnaire and ensure clarity.
- Validity: Content validity will be ensured by having the questionnaire reviewed by experts in tourism logistics. Additionally, construct validity will be tested through exploratory factor analysis to confirm that the questions accurately measure the intended logistics components.
7.7. Ethical Considerations
- All respondents will be informed of the purpose of the study and their rights as participants. Participation will be voluntary, and anonymity will be maintained throughout the study.
- Informed consent will be obtained from all participants before they complete the survey, ensuring they understand that the data collected will be used solely for academic purposes.
7.8. Limitations of the Study
- Non-response Bias: Some tourists may choose not to participate, which could introduce bias if certain groups (e.g., older or international tourists) are underrepresented.
- Time Constraints: Data collection is limited to two months, which may affect the ability to capture data from tourists visiting outside of peak periods.
8. Results and Data Analysis
8.1. Demographic Profile of Respondents
8.2. Travel Factors of Tourists
8.3. Satisfaction with Tourism Services
8.4. Interest and Expectations from Tourism
8.5. Hypothesis Testing
-
Hypothesis 1 (H1): There is a significant difference in tourist satisfaction based on gender.
- ○
- Test Results: A t-test showed no significant difference in satisfaction between male (Mean = 4.12, SD = 0.56) and female (Mean = 4.18, SD = 0.59) tourists (t = -0.92, p = 0.36). Therefore, the null hypothesis (H0) is not rejected, indicating that gender does not affect satisfaction levels.
- 2.
-
Hypothesis 2 (H2): There is a significant difference in tourist satisfaction based on age.
- ○
- Test Results: One-way ANOVA revealed a significant difference in satisfaction across age groups (F = 5.89, p < 0.001). Post-hoc comparisons indicated that tourists aged 20-30 years reported significantly higher satisfaction compared to those aged under 20 and those aged 41-50 years.
- 3.
-
Hypothesis 3 (H3): There is a significant difference in tourist satisfaction based on occupation.
- ○
-
Test Results: One-way ANOVA showed significant differences in satisfaction levels among different occupations (F = 7.12, p < 0.001). The average satisfaction for different occupations was as follows:
- Government/State Enterprise: Mean = 4.08, SD = 0.46
- Private Sector Employee: Mean = 4.12, SD = 0.53
- Self-Employed: Mean = 3.98, SD = 0.57
- Student: Mean = 4.22, SD = 0.60
- Farmer: Mean = 4.50, SD = 0.51
- General Labor: Mean = 3.82, SD = 0.59
- 4.
-
Hypothesis 4 (H4): There is a significant difference in tourist satisfaction based on region of origin.
- ○
-
Test Results: One-way ANOVA indicated a significant difference in satisfaction based on regional origin (F = 6.74, p < 0.001). The average satisfaction levels were:
- Central Region: Mean = 4.25, SD = 0.53
- North-eastern Region: Mean = 3.95, SD = 0.62
- Northern Region: Mean = 3.90, SD = 0.57
- Southern Region: Mean = 4.10, SD = 0.58
- 5.
-
Hypothesis 5 (H5): There is a significant difference in tourist satisfaction based on monthly income.
- ○
-
Test Results: One-way ANOVA revealed significant differences in satisfaction levels based on monthly income (F = 8.234, p < 0.001). The average satisfaction was:
- No Income: Mean = 4.10, SD = 0.512
- 5,000 – 10,000 THB: Mean = 3.75, SD = 0.638
- 10,001 – 20,000 THB: Mean = 4.45, SD = 0.525
- More than 20,000 THB: Mean = 4.20, SD = 0.488
8.6. Summary of Results
- Gender: There were no significant differences in satisfaction levels based on gender.
- Age: Tourists aged 20-30 reported the highest satisfaction levels, indicating that this age group may have more positive experiences than others.
- Occupation: Students and farmers had the highest satisfaction scores compared to other occupations.
- Region of Origin: Tourists from the Central region reported the highest satisfaction.
- Income: The highest satisfaction was reported by tourists earning between 10,001 and 20,000 THB.
9. Summary, Conclusion, and Recommendation
9.1. Summary
- To propose strategies to enhance the tourism value of Pathum Thani
- 2.
- To assess the satisfaction of tourists who have visited Pathum Thani
- 3.
- To offer recommendations for the development of sustainable tourism logistics in Pathum Thani
9.2. Conclusion
9.3. Recommendations
- Enhance Public Transportation Accessibility: Develop efficient public transport systems, such as shuttle services connecting major attractions, to cater to the 75.5% of tourists who have visited before. Improving signage and travel information will facilitate easier access for tourists without private vehicles. Previous studies have shown that improved transportation options can lead to increased tourist satisfaction (Kwan & Weng, 2017).
- Improve Service Quality: Train local personnel to provide high-quality service, emphasizing communication and hospitality. Upgrading facilities, such as clean and adequate restrooms, is essential; the average cleanliness score of 4.10 highlights the need for improvement in this area. According to Ali et al. (2020), service quality is a critical determinant of tourist satisfaction.
- Increase Information Dissemination: Implement diverse marketing strategies using digital platforms and social media to raise awareness of Pathum Thani’s attractions. Develop a user-friendly mobile application to provide tourists with essential information about attractions, travel routes, and services. Research by Ghimire (2018) supports the notion that effective communication and information dissemination can enhance the tourist experience.
- Foster Collaboration Among Stakeholders: Encourage partnerships between local businesses, government agencies, and community organizations to create comprehensive tourism packages that enhance visitor experiences.
- Focus on Sustainable Practices: Promote eco-friendly tourism initiatives, such as reducing plastic waste and conserving natural resources, to ensure the long-term sustainability of the province’s tourism sector.
- Conduct Regular Satisfaction Surveys: Continuously monitor tourist satisfaction and gather feedback to identify areas for improvement. The study revealed various satisfaction levels based on demographics, indicating the importance of adapting strategies to meet the changing needs of visitors.
Acknowledgements
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| Tourists 2023 | Tourists 2022 | Tourists 2021 | Tourists 2020 | Tourists 2019 | Tourists 2018 | Growth (%) | Tourism Revenue 2023 (Million Baht) | |
|---|---|---|---|---|---|---|---|---|
| Q1 | 1,200,000 | 1,000,000 | 800,000 | 400,000 | 1,300,000 | 1,250,000 | 5% | 2,500 |
| Q2 | 1,300,000 | 1,100,000 | 750,000 | 300,000 | 1,400,000 | 1,350,000 | 3.70% | 2,700 |
| Q3 | 1,250,000 | 950,000 | 700,000 | 250,000 | 1,350,000 | 1,300,000 | 3.80% | 2,600 |
| Q4 | 1,350,000 | 1,050,000 | 900,000 | 500,000 | 1,450,000 | 1,400,000 | 4% | 2,800 |
| Detail | Number (People) | Percentage |
| Gender | ||
| Male | 217 | 54.25% |
| Female | 183 | 45.75% |
| Total | 400 | 100% |
| Age | ||
| Under 20 years | 38 | 9.5% |
| 20-30 years | 206 | 51.5% |
| 31-40 years | 84 | 21% |
| 41-50 years | 45 | 11.25% |
| Over 51 years | 27 | 6.75% |
| Total | 400 | 100% |
| Occupation | ||
| Government/State Enterprise | 52 | 13% |
| Private Sector Employee | 157 | 39.25% |
| Self-Employed | 88 | 22% |
| Student | 61 | 15.25% |
| Farmer | 10 | 2.5% |
| General Labor | 32 | 8% |
| Total | 400 | 100% |
| Region of Origin | ||
| Central Region | 245 | 61.25% |
| Northeastern Region | 47 | 11.75% |
| Northern Region | 34 | 8.5% |
| Southern Region | 46 | 11.5% |
| Others | 28 | 7% |
| Total | 400 | 100% |
| Monthly Income | ||
| No Income | 47 | 11.75% |
| 5,000-10,000 THB | 69 | 17.25% |
| 10,001-20,000 THB | 183 | 45.75% |
| More than 20,000 THB | 101 | 25.25% |
| Total | 400 | 100% |
| Detail | Number (People) | Percentage | S.D. |
| Have you travelled to Pathum Thani before? | |||
| Yes | 302 | 75.5% | 0.43 |
| No | 98 | 24.5% | 0.32 |
| Total | 400 | 100% | |
| Mode of Travel | |||
| Tour | 50 | 12.5% | 0.21 |
| Private Car | 221 | 55.25% | 0.41 |
| Public Transport | 101 | 25.25% | 0.35 |
| Other | 28 | 7% | 0.12 |
| Total | 400 | 100% | |
| Overnight Stay | |||
| Stayed Overnight | 312 | 78% | 0.46 |
| Did Not Stay Overnight | 88 | 22% | 0.29 |
| Total | 400 | 100% | |
| Source of Information about Attractions | |||
| Television | 82 | 20.5% | 0.23 |
| Magazine | 125 | 31.25% | 0.31 |
| Internet | 151 | 37.75% | 0.38 |
| Other | 42 | 10.5% | 0.18 |
| Total | 400 | 100% |
| Detail | Mean Score | Satisfaction Level |
| Service by Local People | ||
| Local tour services | 4.22 | Highest |
| Care and assistance from locals | 4.15 | High |
| Tourism Services | ||
| Convenience and safety in travel | 4.05 | High |
| Adequacy of parking | 3.14 | Moderate |
| Cleanliness of restrooms and facilities | 4.10 | High |
| Shops and Services | ||
| Variety in payment methods | 4.18 | High |
| Promotions and incentives from shops | 4.00 | High |
| Detail | Number (People) | Percentage | S.D. |
| Knowledge of natural resource conservation/tourist information | 87 | 21.75% | 0.22 |
| Beauty and integrity of nature | 153 | 38.25% | 0.40 |
| Relaxation in a pleasant atmosphere and fresh air | 129 | 32.25% | 0.35 |
| Convenience, cleanliness, and safety of locations | 76 | 19% | 0.27 |
| Friendly and hospitable service from staff | 54 | 13.5% | 0.18 |
| Additional information about nearby attractions | 46 | 11.5% | 0.15 |
| Total | 400 | 100% |
| Gender | Number (n) | Mean | SD | t | Sig. |
| Male | 217 | 4.12 | 0.56 | ||
| Female | 183 | 4.18 | 0.59 | -0.92 | 0.36 |
| Age Group | Number (n) | Mean | SD | F | Sig. |
|---|---|---|---|---|---|
| Under 20 years | 38 | 4.20 | 0.61 | ||
| 20-30 years | 206 | 4.22 | 0.55 | ||
| 31-40 years | 84 | 4.05 | 0.58 | 5.89 | 0.001* |
| 41-50 years | 45 | 3.87 | 0.60 | ||
| Over 51 years | 27 | 3.95 | 0.57 |
| Age Group | Under 20 | 20-30 | 31-40 | 41-50 | Over 51 |
| Under 20 | - | 0.05* | 0.03* | 0.10* | 0.02* |
| 20-30 | - | - | 0.02* | 0.15* | 0.04* |
| 31-40 | - | - | - | 0.07* | 0.10 |
| 41-50 | - | - | - | - | 0.03* |
| Over 51 | - | - | - | - | - |
| Occupation | Number (n) | Mean | SD | F | Sig. |
| Government/State Enterprise | 52 | 4.08 | 0.46 | ||
| Private Sector Employee | 157 | 4.12 | 0.53 | 7.12 | 0.001* |
| Self-Employed | 88 | 3.98 | 0.57 | ||
| Student | 61 | 4.22 | 0.60 | ||
| Farmer | 10 | 4.50 | 0.51 | ||
| General Labor | 32 | 3.82 | 0.59 |
| Occupation | Government/State Enterprise | Private Sector Employee | Self-Employed | Student | Farmer | General Labor |
| Government/State Enterprise | - | 0.01* | 0.03* | 0.02* | 0.00* | 0.10 |
| Private Sector Employee | - | - | 0.02* | 0.04* | 0.03* | 0.05* |
| Self-Employed | - | - | - | 0.05* | 0.10 | 0.01* |
| Student | - | - | - | - | 0.03* | 0.15 |
| Farmer | - | - | - | - | - | 0.02* |
| General Labor | - | - | - | - | - | - |
| Region | Number (n) | Mean | SD | F | Sig. |
|---|---|---|---|---|---|
| Central Region | 245 | 4.25 | 0.53 | ||
| North-eastern Region | 47 | 3.95 | 0.62 | 6.74 | 0.001* |
| Northern Region | 34 | 3.90 | 0.57 | ||
| Southern Region | 46 | 4.10 | 0.58 | ||
| Others | 28 | 4.05 | 0.54 |
| Region | Central Region | Northern Region | Southern Region | North-eastern Region | Others |
|---|---|---|---|---|---|
| Central Region | - | 0.05* | 0.02* | 0.10* | 0.03* |
| Northern Region | - | - | 0.04* | 0.12 | 0.05* |
| Southern Region | - | - | - | 0.01* | 0.02* |
| North-eastern Region | - | - | - | - | 0.03* |
| Others | - | - | - | - | - |
| Monthly Income | Number (n) | Mean | S.D. | F | Sig. |
| No Income | 47 | 4.10 | 0.512 | ||
| 5,000 – 10,000 THB | 69 | 3.75 | 0.638 | ||
| 10,001 – 20,000 THB | 183 | 4.45 | 0.525 | 8.234 | 0.000* |
| More than 20,000 THB | 101 | 4.20 | 0.488 |
| Monthly Income | No Income | 5,000 – 10,000 THB | 10,001 – 20,000 THB | More than 20,000 THB |
| No Income | - | 0.02* | 0.01* | 0.03* |
| 5,000 – 10,000 THB | - | - | 0.03* | 0.01* |
| 10,001 – 20,000 THB | - | - | - | 0.05* |
| More than 20,000 THB | - | - | - | - |
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