Combinatorial Model Involving Stochastic Choices of Destination, Mode and Route

Traffic assignment models are one of the basic tools for the analysis and design of transportation systems. However, the existing models have some defects. Considering the characteristics of Chinese urban mixed traffic and the randomness of transportation information, the author develops a combinatorial model involving stochastic choices of destination, mode and route. Its uniqueness and equivalance are also proved by the optimization theory.

Combinatorial Model Involving Travel Choice,Destination Choice and Route Choice

Considering random utility of transportation information, the author develops combinatorial model involving travel choice, destination choice and route choice. It's uniqueness and equivalance are also proved. Finally, an model's a1gorithm is given out.

Leave or Stay?Antecedents of High-level Talent Migration in the Pearl River Delta Megalopolis of China:from a Perspective of Regional Differentials in Housing Prices

Rapid urbanization and population growth have triggered an increase in urban housing demand and rising housing prices,which can influence the migration intention of high-level talents.Much work within the literature has focused more on the migration of the general public.However,antecedents of migration intention and the impact of housing prices on the migration of high-level talents remain unclear.Therefore,based on the push-pull theory,this study investigates the influencing factors of talent migration intention and explores the role of housing prices.This study reveals a complex mechanism underlying migration decisions by using logistic regression models and survey data of high-level talents in the Pearl River Delta(PRD)megalopolis of China.The results indicate that:1)in high house-price regions,social integration is the primary push factor,and the main factors for retaining talents are the expectation of future work and intimate family relationships;2)in medium house-price regions,the main factors that attract talents are the current salary level and close family ties;3)in low house-price regions,living convenience is a determining factor in retaining talents.This study provides a new perspective for talent mobility research and offers valuable inputs for retaining and attracting talents in different economic development regions.Findings are of great significance for formulating talent introduction policies and forming a new pattern of rational spatial docking and effective allocation of human resources.

Influencing Factors on Customers’ Decision to Visit Agritourism Farms: A Case Study in Viet Nam

The research analyzes the factors affecting the tourists’ decision to visit agricultural farms in Thai Nguyen province. Three hundred tourists from 10 agritourism farms were surveyed, and the results showed that there are five factors affecting the decision of tourists in order of importance, including: “Motivation to travel” has the greatest influence with the coefficient β = 0.290, followed by “Destination image” with the coefficient β = 0.288, the factor “Destination information” with the coefficient β = 0.247 and the group “Other motives” with the coefficient β = 0.229. The factor group, “Infrastructure of the destination”, has the lowest influence with the coefficient β = 0.166. Therefore, solutions to promote the development of agricultural tourism in Thai Nguyen need to pay attention and guide people to cultivate organically, preserve the environment and natural landscape, and create unique experiences for visitors. Authorities, local people, and travel agencies need to have seminars, develop specific agricultural tourism products, and apply information technology in advertising destination images to tourists.

The Prospects of Rural Tourism Development in the Continental Touristic Region of Croatia： A Survey Conducted Among Younger and More Educated Respondents

The paper represents a product of mentor-graduate student cooperation, developed at the graduate study of Business Economics, major Tourism. The destinations and types of tourism are listed that exist in this area but also have room for improvement and further development. The goal is to prolong the season and not only focus on the coastal part of Croatia, following the examples of neighboring countries. The final goal of the research is to examine the behavior and opinion that participants have about Croatian tourism, what are their preferences when it comes to the choice of destination, on what grounds, how much are they familiar with rural tourism offer, and whether they think that further development would be crucial for rural tourism improvement. The research was conducted through a questionnaire on 203 respondents residing in the Republic of Croatia.

Evacuation based on spatio-temporal resilience with variable traffic demand

The efficient evacuation of people from dangerous areas is a key objective of emergency management.However,many emergencies give little to no advanced warning,leading to spontaneous evacuation with no time for planning or management.For large emergencies,destinations become less certain,with traffic demand imbalanced and concentrated on a few oversaturated routes familiar to evacuees.Ultimately,this leads to rapid congestion and delay on some routes,while others remain barely used,extending clearance times with an accumulating population at risk.In this study we address these issues through incorporating spatio-temporal traffic resilience dynamics into a destination choice model utilizing the available capacity of the overall network.We validate our model through a post-concert egress event.The results suggest that our method can reduce total egress times and average travel time by 20%-43%over the no-guidance condition.Our method can be used to estimate and quantify emergency conditions to optimally guide destinations and routing choice for evacuees and/or autonomously moving vehicles during evacuations.