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Combinatorial Model Involving Stochastic choices of destination, Mode and Route

Journal of Shanghai University(English Edition) 2001年第2期5卷 171-176页

作者： ZHOU Xi zhao Management School, Shanghai Maritime University, Shanghai 200135, China Management School Shanghai Maritime University Shanghai China

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.

关键词： destination choice mode choice route choice

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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

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Chinese Geographical Science 2023年第6期33卷 1068-1081页

作者： SHEN Chen WANG Yang ZUO Jian Raufdeen RAMEEZDEEN School of Civil Engineering Wuhan UniversityWuhan430072China School of Architecture&Built Environment University of AdelaideAdelaide5005Australia School of Natural and Built Environments University of South AustraliaAdelaide5001Australia

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 *** work within the literature has focused more on the migration of the general ***,antecedents of migration intention and the impact of housing prices on the migration of high-level talents remain ***,based on the push-pull theory,this study investigates the influencing factors of talent migration intention and explores the role of housing *** 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 *** 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 *** study provides a new perspective for talent mobility research and offers valuable inputs for retaining and attracting talents in different economic development *** are of great significance for formulating talent introduction policies and forming a new pattern of rational spatial docking and effective allocation of human resources.

关键词： destination choice migration intention high-level talents house-price pressure push-pull theory the Pearl River Delta megalopolis of China

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

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Agricultural Sciences 2022年第4期13卷 566-579页

作者： Nguyen The Hai Nguyen Van Song Vu Thi Thanh Thuy Nguyen The Huan Nguyen Van Luong Hoang Vu Quang Environmental Center for Mountainous Resources Thai Nguyen University of Agriculture and Forestry (TUAF) Thai Nguyen Viet Nam Faculty of Economics and Rural Development (FERD) Viet Nam National University of Agriculture (VNUA) Ha Noi Viet Nam Faculty of Resource Management Thai Nguyen University of Agriculture and Forestry (TUAF) Thai Nguyen Viet Nam Thai Binh Agricultural College Quynh Phu Thai Binh Viet Nam Institute of Policy and Strategy for Agriculture and Rural Development Ha Noi 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.

关键词： Agritourism Tourism Motivation destination choice Influencing Factors Agritourism Farm destination Image

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邻近性对人口再流动目的地选择的影响

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人口学 2021年第2期

作者：刘涛卓云霞王洁晶

中国人口流动进入总量稳定下的空间调整新阶段，存量流动人口的再流动成为塑造人口和城镇化格局的主体因素。本文从户籍地和前期流入地两个基点出发，综合考虑地理、制度、信息、社会、认知等维度，构建了双重多维邻近性影响人口再流动... 详细信息

中国人口流动进入总量稳定下的空间调整新阶段，存量流动人口的再流动成为塑造人口和城镇化格局的主体因素。本文从户籍地和前期流入地两个基点出发，综合考虑地理、制度、信息、社会、认知等维度，构建了双重多维邻近性影响人口再流动目的地选择的理论框架，利用全国流动人口动态监测调查数据和嵌套Logit模型开展实证研究。结果表明：双重多维邻近性对人口再流动的空间选择具有显著而稳健的影响。人口再流动时，会选择与自身知识水平更匹配、与户籍地和前期流入地都更近、信息联系都更强的城市，但社会联系仍主要依靠老家。流动人口具有回到户籍所在省(区、市)的主观意愿，但省内城市普遍机会不多、环境欠佳，缺乏吸引力。相对而言，女性对同乡网络的依赖高于男性；新生代流动人口在很多方面继承了老一代的特点，甚至比后者更依赖老家的信息和社会联系；高学历流动人口在流入地的深度社会融入使其能够利用本地化社会资本，再流动的空间选择也与流入地居民更为类似。

关键词：人口再流动目的地选择多维邻近性嵌套Logit模型中国 onward migration destination choice proximity nested logit model China

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