Hanyuan Zhang
Biographic Data
| ID | 4043759 |
|---|---|
| NAME | Hanyuan Zhang |
| GIVEN NAMES | Hanyuan |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG H |
| AFFILIATIONS | Hong Kong Polytechnic University |
| ORCID | 0000-0003-3031-2155 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 40 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Mapping Tourists' Wellness Tourism Priorities: A Hybrid Latent Class Choice and Kano Modelling Study
The surging popularity of wellness tourism, driven by the pursuit of health and well‐being through psychological, physical, or spiritual activities, has become increasingly evident globally. The research aims to (1) map the heterogeneous preference structures within wellness tourism entities, (2) determine key drivers of tourists' wellness entity choice and (3) provide actionable insights for industry stakeholders. This study employs a latent cla…
Forecasting Chinese outbound tourism recovery: A Triple-layer forecast combination framework
When inclusion efforts backfire: How organizational social inclusion statements exacerbate frontline employees' negative meta-stereotypes
Are Chinese willing to pay for travel carbon offset products
This study explored tourists' preferences and willingness to pay for travel carbon offset (TCO) products using a hybrid choice model (HCM). This model integrates a mixed multinomial logit model (MMNL) and a latent variable model (LVM) to facilitate the exploration of preference heterogeneity among tourists by incorporating individual psychological constructs. The key empirical results were as follows: (1) the respondents were more likely to purch…
Has Covid-19 changed tourist destination choice
This study investigates changes in tourists' preferences for destination choice in the context of the COVID-19 pandemic using a scenario-based intertemporal hybrid choice model. The empirical results indicate that tourists emphasized medical services, hygiene conditions, and smart tourism when selecting tourist destinations during the pandemic but were more concerned with attractions and service quality when the pandemic eased. The preference str…
Forecasting hotel room demand amid Covid-19
The COVID-19 pandemic has hindered international travel considerably, greatly affecting the hotel industry. Hong Kong, as a well-known international tourist destination, has also been hit hard by the crisis. Recovery forecasts for hotel room demand are critical to managing this ongoing crisis. This study employs the autoregressive distributed lag error correction model to generate baseline forecasts of hotel room demand for Hong Kong followed by …
Forecasting tourism recovery amid Covid-19
Forecasting tourism recovery amid Covid-19
Are Chinese willing to pay for travel carbon offset products
This study explored tourists' preferences and willingness to pay for travel carbon offset (TCO) products using a hybrid choice model (HCM). This model integrates a mixed multinomial logit model (MMNL) and a latent variable model (LVM) to facilitate the exploration of preference heterogeneity among tourists by incorporating individual psychological constructs. The key empirical results were as follows: (1) the respondents were more likely to purch…
Has Covid-19 changed tourist destination choice
This study investigates changes in tourists' preferences for destination choice in the context of the COVID-19 pandemic using a scenario-based intertemporal hybrid choice model. The empirical results indicate that tourists emphasized medical services, hygiene conditions, and smart tourism when selecting tourist destinations during the pandemic but were more concerned with attractions and service quality when the pandemic eased. The preference str…
Forecasting Chinese outbound tourism recovery: A Triple-layer forecast combination framework
When inclusion efforts backfire: How organizational social inclusion statements exacerbate frontline employees' negative meta-stereotypes
Forecasting tourism recovery amid Covid-19
Forecasting hotel room demand amid Covid-19
The COVID-19 pandemic has hindered international travel considerably, greatly affecting the hotel industry. Hong Kong, as a well-known international tourist destination, has also been hit hard by the crisis. Recovery forecasts for hotel room demand are critical to managing this ongoing crisis. This study employs the autoregressive distributed lag error correction model to generate baseline forecasts of hotel room demand for Hong Kong followed by …
Has Covid-19 changed tourist destination choice
This study investigates changes in tourists' preferences for destination choice in the context of the COVID-19 pandemic using a scenario-based intertemporal hybrid choice model. The empirical results indicate that tourists emphasized medical services, hygiene conditions, and smart tourism when selecting tourist destinations during the pandemic but were more concerned with attractions and service quality when the pandemic eased. The preference str…
When inclusion efforts backfire: How organizational social inclusion statements exacerbate frontline employees' negative meta-stereotypes
Are Chinese willing to pay for travel carbon offset products
This study explored tourists' preferences and willingness to pay for travel carbon offset (TCO) products using a hybrid choice model (HCM). This model integrates a mixed multinomial logit model (MMNL) and a latent variable model (LVM) to facilitate the exploration of preference heterogeneity among tourists by incorporating individual psychological constructs. The key empirical results were as follows: (1) the respondents were more likely to purch…
Mapping Tourists' Wellness Tourism Priorities: A Hybrid Latent Class Choice and Kano Modelling Study
The surging popularity of wellness tourism, driven by the pursuit of health and well‐being through psychological, physical, or spiritual activities, has become increasingly evident globally. The research aims to (1) map the heterogeneous preference structures within wellness tourism entities, (2) determine key drivers of tourists' wellness entity choice and (3) provide actionable insights for industry stakeholders. This study employs a latent cla…
Forecasting Chinese outbound tourism recovery: A Triple-layer forecast combination framework
Tourism (6 works) · Diverse Aspects of Tourism Research (5 works) · Business (4 works) · Economics (4 works) · Computer Science (3 works) · Economic and Environmental Valuation (3 works) · Geography (3 works) · Pandemic (3 works) · Advertising (2 works) · Baseline (sea (2 works)