Mingming Hu
Biographic Data
| ID | 5757802 |
|---|---|
| NAME | Mingming Hu |
| GIVEN NAMES | Mingming |
| FAMILY NAME | Hu |
| SIGNATURE | HU M |
| AFFILIATIONS | Guangxi University |
| ORCID | 0000-0002-6626-9657 |
| VERIFIED | Yes |
| TOTAL WORKS | 26 |
| TOTAL CITATIONS | 96 |
| AUTHOR COUNT | 26 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 6 |
How online information search reshapes the impact of price and income on tourism demand
Online query data have emerged as a prevalent source for tourism demand forecasting, but their influence mechanism remains unclear. This study seeks to verify the moderating role of tourists’ online information search behavior on price and income. This empirical study of Hong Kong’s tourism demand among eight English-speaking markets reveals that (1) this behavior moderates how price and income affect tourism demand; (2) regarding price’s effect …
Measuring the impact of urban morphology on residential energy consumption at the neighborhood-level in the Netherlands
In the Netherlands, the residential sector accounts for 16.8% of national energy use, mostly from natural gas. Current policies and standards aimed at reducing residential energy consumption mainly focus on improving the performance of buildings and appliances. The critical role of urban morphology in moderating microclimate by cooling surrounding areas and shielding buildings from solar radiation has been demonstrated, particularly in hot-summer…
A virtual reality-based experiment on tourists’ choice of evacuation route
Identifying key influencing factors of cross-regional railway infrastructure interconnection
Cross-regional railway infrastructure (CRI) plays an important role in promoting coordinated regional development. But current understanding on how to strengthen cross-regional railway infrastructure interconnection (CRII) and its influence mechanism is still very limited. This study constructed a conceptual model of CRII system to reveal the logic of CRII operation, and systematically identified 16 influencing factors. Meanwhile, an F-MCDM (F-Mu…
A novel big data-based multicollinearity-eliminating feature extraction method for tourism demand forecasting
Integrating search engine big data into forecasting models has been proven to enhance prediction accuracy. However, the challenge of multicollinearity among search query variables limits the effective use of such data. To address this, this study proposes a multicollinearity-eliminating feature extraction (MEFE) method, integrated with a backpropagation neural network (BPNN), to create the MEFE-BPNN framework for tourism demand forecasting. Empir…
Tourism forecasting by mixed-frequency machine learning
How well can ChatGPT forecast tourism demand
Forecast by mixed-frequency dynamic panel model
Denoising search query improves tourism forecasting
The “Beauty Premium” Phenomenon
The online P2P accommodation market, including Airbnb, encourages accommodation hosts to upload profile photos. However, the inclusion of a profile photo may carry consequences such as appearance discrimination. Using secondary Airbnb data from Beijing, China, this study investigates the presence of the “beauty premium” in the relatively low-priced accommodation market and examines the extent to which consumers discriminate based on hosts’ facial…
Tourism demand forecasting based on user-generated images on OTA platforms
Tourists’ images of destinations posted on online travel agency (OTA) platforms are important information sources for potential tourists to perceive and construct destination images. These perceptions can then inform travel decisions. We investigated the roles of the aesthetics of user-generated images on OTA platforms in tourism demand forecasting. Specifically, the aesthetics of images of three popular scenic spots in Hong Kong were used to pre…
A novel two-stage combination model for tourism demand forecasting
The tourism literature has shown that a combination of tourism forecasting models can provide better performance than individual models. In the literature, the models to be combined are usually subjectively selected and authors focus on the combination method. In this study, a new direction is represented by the integration of forecasts from several models using a two-stage forecasting system. In stage I, a subset of the best available models is …
Tourism demand forecasting using short video information
Circular construction
Longitudinal predictions between executive function and general and specific psychiatric problems in school-age children
This study examined the longitudinal associations of various executive function components with subsequent psychiatric problems in Chinese school-age children. Data from 1,639 children (44.36% girls) ages 6-13 years were drawn from the Children School Functions and Brain Development project. Executive function components were assessed by the cancellation test, the Corsi test, and the Wisconsin Card Sorting Test. Psychiatric problems were determin…
Tourism demand forecasting using tourist-generated online review data
Hierarchical pattern recognition for tourism demand forecasting
Tourism demand forecasting with online news data mining
Life cycle greenhouse gas emission and cost analysis of prefabricated concrete building façade elements
Buildings are responsible for approximately 36% of carbon emissions in the European Union. Besides, gradual aging and a lack of adaptability and flexibility of buildings often lead to destructive interventions, resulting not only in higher costs but also in a large amount of construction and demolition waste (CDW). Recently, an innovative system (Ref. VEEP project) has been developed to recycle CDW for the manufacturing of energy‐efficient prefab…
Decision making with both diversity supporting and opposing membership information
Online big data provides large amounts of decision information to decision makers, but supporting and opposing information are present simultaneously. Dual hesitant fuzzy sets (DHFSs) are useful models for exactly expressing the membership degree of both supporting and opposing information in decision making. However, the application of DHFSs requires an improved distance measure. This paper aims to improve distance measure models for DHFSs and a…
Forecasting tourism demand with multisource big data
Disrupted Resting Frontal–Parietal Attention Network Topology Is Associated With a Clinical Measure in Children With Attention-Deficit/Hyperactivity Disorder
Purpose: Although alterations in resting-state functional connectivity between brain regions have been reported in children with attention-deficit/hyperactivity disorder (ADHD), the spatial organization of these changes remains largely unknown. Here, we studied frontal-parietal attention network topology in children with ADHD, and related topology to a clinical measure of disease progression. Methods: Resting-state fMRI scans were obtained from N…
Positive academic emotions and psychological resilience among rural-to-urban migrant adolescents in China
We explored the relationship between the positive academic emotions of pride, happiness, hopefulness, satisfaction, calmness, and being relaxed, and the factors that influence psychological resilience, including family support, problem-solving ability, self-resilience, sense of purpose, social-communication ability, attitude toward adversity, and ability to mobilize resources. Participants were 763 sons and daughters (339 boys and 424 girls, aged…
Testing the factorial invariance of the Satisfaction with Life Scale across Chinese adolescents
We tested the factorial invariance of the Satisfaction with Life Scale (SWLS) across 2,178 rural, urban, and rural-to-urban Chinese adolescent students from middle schools and universities. We examined the psychometric properties of the SWLS and tested a 1-factor model with each of the rural, urban, and rural-to-urban groups. Multigroup analysis results revealed configural, weak, strong, and strict invariance of the SWLS across the groups, and al…
Dynamic Material Flow Analysis for Strategic Construction and Demolition Waste Management in Beijing
Of all materials extracted from the earth's crust, the construction sector uses 50%, producing huge amounts of construction and demolition waste (CDW). In Beijing, presently 35 million metric tons per year (megatonnes/year [Mt/yr]) of CDW are generated. This amount is expected to grow significantly when the first round of mass buildings erected in the 1990s starts to be demolished. In this study, a dynamic material flow analysis (MFA) is conducte…
Forecasting tourism demand with multisource big data
Tourism demand forecasting using tourist-generated online review data
Tourism demand forecasting with online news data mining
Hierarchical pattern recognition for tourism demand forecasting
Tourism demand forecasting using short video information
Tourism forecasting by mixed-frequency machine learning
How well can ChatGPT forecast tourism demand
Forecast by mixed-frequency dynamic panel model
Longitudinal predictions between executive function and general and specific psychiatric problems in school-age children
This study examined the longitudinal associations of various executive function components with subsequent psychiatric problems in Chinese school-age children. Data from 1,639 children (44.36% girls) ages 6-13 years were drawn from the Children School Functions and Brain Development project. Executive function components were assessed by the cancellation test, the Corsi test, and the Wisconsin Card Sorting Test. Psychiatric problems were determin…
Multi-agent collaboration strategies for tourism demand forecasting
Dynamic Material Flow Analysis for Strategic Construction and Demolition Waste Management in Beijing
Of all materials extracted from the earth's crust, the construction sector uses 50%, producing huge amounts of construction and demolition waste (CDW). In Beijing, presently 35 million metric tons per year (megatonnes/year [Mt/yr]) of CDW are generated. This amount is expected to grow significantly when the first round of mass buildings erected in the 1990s starts to be demolished. In this study, a dynamic material flow analysis (MFA) is conducte…
Positive academic emotions and psychological resilience among rural-to-urban migrant adolescents in China
We explored the relationship between the positive academic emotions of pride, happiness, hopefulness, satisfaction, calmness, and being relaxed, and the factors that influence psychological resilience, including family support, problem-solving ability, self-resilience, sense of purpose, social-communication ability, attitude toward adversity, and ability to mobilize resources. Participants were 763 sons and daughters (339 boys and 424 girls, aged…
Testing the factorial invariance of the Satisfaction with Life Scale across Chinese adolescents
We tested the factorial invariance of the Satisfaction with Life Scale (SWLS) across 2,178 rural, urban, and rural-to-urban Chinese adolescent students from middle schools and universities. We examined the psychometric properties of the SWLS and tested a 1-factor model with each of the rural, urban, and rural-to-urban groups. Multigroup analysis results revealed configural, weak, strong, and strict invariance of the SWLS across the groups, and al…
Disrupted Resting Frontal–Parietal Attention Network Topology Is Associated With a Clinical Measure in Children With Attention-Deficit/Hyperactivity Disorder
Purpose: Although alterations in resting-state functional connectivity between brain regions have been reported in children with attention-deficit/hyperactivity disorder (ADHD), the spatial organization of these changes remains largely unknown. Here, we studied frontal-parietal attention network topology in children with ADHD, and related topology to a clinical measure of disease progression. Methods: Resting-state fMRI scans were obtained from N…
Life cycle greenhouse gas emission and cost analysis of prefabricated concrete building façade elements
Buildings are responsible for approximately 36% of carbon emissions in the European Union. Besides, gradual aging and a lack of adaptability and flexibility of buildings often lead to destructive interventions, resulting not only in higher costs but also in a large amount of construction and demolition waste (CDW). Recently, an innovative system (Ref. VEEP project) has been developed to recycle CDW for the manufacturing of energy‐efficient prefab…
Decision making with both diversity supporting and opposing membership information
Online big data provides large amounts of decision information to decision makers, but supporting and opposing information are present simultaneously. Dual hesitant fuzzy sets (DHFSs) are useful models for exactly expressing the membership degree of both supporting and opposing information in decision making. However, the application of DHFSs requires an improved distance measure. This paper aims to improve distance measure models for DHFSs and a…
Forecasting tourism demand with multisource big data
Hierarchical pattern recognition for tourism demand forecasting
Tourism demand forecasting with online news data mining
Tourism demand forecasting using tourist-generated online review data
Circular construction
Longitudinal predictions between executive function and general and specific psychiatric problems in school-age children
This study examined the longitudinal associations of various executive function components with subsequent psychiatric problems in Chinese school-age children. Data from 1,639 children (44.36% girls) ages 6-13 years were drawn from the Children School Functions and Brain Development project. Executive function components were assessed by the cancellation test, the Corsi test, and the Wisconsin Card Sorting Test. Psychiatric problems were determin…
Tourism demand forecasting based on user-generated images on OTA platforms
Tourists’ images of destinations posted on online travel agency (OTA) platforms are important information sources for potential tourists to perceive and construct destination images. These perceptions can then inform travel decisions. We investigated the roles of the aesthetics of user-generated images on OTA platforms in tourism demand forecasting. Specifically, the aesthetics of images of three popular scenic spots in Hong Kong were used to pre…
A novel two-stage combination model for tourism demand forecasting
The tourism literature has shown that a combination of tourism forecasting models can provide better performance than individual models. In the literature, the models to be combined are usually subjectively selected and authors focus on the combination method. In this study, a new direction is represented by the integration of forecasts from several models using a two-stage forecasting system. In stage I, a subset of the best available models is …
Tourism demand forecasting using short video information
Identifying key influencing factors of cross-regional railway infrastructure interconnection
Cross-regional railway infrastructure (CRI) plays an important role in promoting coordinated regional development. But current understanding on how to strengthen cross-regional railway infrastructure interconnection (CRII) and its influence mechanism is still very limited. This study constructed a conceptual model of CRII system to reveal the logic of CRII operation, and systematically identified 16 influencing factors. Meanwhile, an F-MCDM (F-Mu…
A novel big data-based multicollinearity-eliminating feature extraction method for tourism demand forecasting
Integrating search engine big data into forecasting models has been proven to enhance prediction accuracy. However, the challenge of multicollinearity among search query variables limits the effective use of such data. To address this, this study proposes a multicollinearity-eliminating feature extraction (MEFE) method, integrated with a backpropagation neural network (BPNN), to create the MEFE-BPNN framework for tourism demand forecasting. Empir…
Tourism forecasting by mixed-frequency machine learning
How well can ChatGPT forecast tourism demand
Forecast by mixed-frequency dynamic panel model
Denoising search query improves tourism forecasting
The “Beauty Premium” Phenomenon
The online P2P accommodation market, including Airbnb, encourages accommodation hosts to upload profile photos. However, the inclusion of a profile photo may carry consequences such as appearance discrimination. Using secondary Airbnb data from Beijing, China, this study investigates the presence of the “beauty premium” in the relatively low-priced accommodation market and examines the extent to which consumers discriminate based on hosts’ facial…
How online information search reshapes the impact of price and income on tourism demand
Online query data have emerged as a prevalent source for tourism demand forecasting, but their influence mechanism remains unclear. This study seeks to verify the moderating role of tourists’ online information search behavior on price and income. This empirical study of Hong Kong’s tourism demand among eight English-speaking markets reveals that (1) this behavior moderates how price and income affect tourism demand; (2) regarding price’s effect …
Measuring the impact of urban morphology on residential energy consumption at the neighborhood-level in the Netherlands
In the Netherlands, the residential sector accounts for 16.8% of national energy use, mostly from natural gas. Current policies and standards aimed at reducing residential energy consumption mainly focus on improving the performance of buildings and appliances. The critical role of urban morphology in moderating microclimate by cooling surrounding areas and shielding buildings from solar radiation has been demonstrated, particularly in hot-summer…
Tourism (14 works) · Business (12 works) · Computer Science (11 works) · Diverse Aspects of Tourism Research (11 works) · Geography (11 works) · Digital Marketing and Social Media (10 works) · Economics (10 works) · Demand forecasting (9 works) · Marketing (8 works) · Wine Industry and Tourism (7 works)