Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

Analyzing air cargo flows of international routes: an empirical study of Taiwan Taoyuan International Airport

Air cargo demand is an important aspect of the operation and planning of private and public agencies responsible for airports. While most existing studies in this field include only geo-economic characteristics of airports and their hinterlands as explanatory variables, this study develops a gravity model of air cargo flows by trying to incorporate more factors that might influence international air cargo flows of an airport. The model is developed based on the panel data of air cargo services on scheduled routes at Taiwan Taoyuan International Airport during the years 2004-2007. The results indicate that population, air freight rate and three dummy variables, including the regional economic bloc of the “Chinese Circle”(an informal partnership between Hong Kong, Macao, Taiwan and mainland China), the Open Sky Agreements and long established colonial links, are key determinants of international air cargo flows from/to Taiwan. These results suggest a wider array of factors needs to be considered in policy.     

河北省县域农业旅游发展研究

农业旅游是县域经济的重要组成部分。河北省发展县域农业旅游取得了一定的成果,但也存在诸多问题。为了解决这些弊端,获得更大的经济效益,河北省各县域应充分利用现有农业资源,谨慎处理多种关系,采用适宜的开发模式,进行科学合理的规划。     

日本企业管理模式及其进化路径

日本产品长期以优质而廉价等特征,在世界市场赢得竞争优势.迄今为止,这种优势仍然显著.究其原因,其背后的日本式管理模式发挥了重要作用.然而,人们对于日本模式的认知,却还普遍停留在"终身雇佣、年功序列和企业内工会"等所谓"三大神器"论的表象特征,对其内在复杂构成、系统化特征及其进化路径等,缺乏深入理解,而这些因素恰恰对正在形成中的中国模式具有重要借鉴意义.     

基于知识型员工特征的激励模型构建

知识的创造、利用、增值及资源的合理配置,最终都要靠知识的载体——知识型员工来实现。本文在系统分析知识型员工特征的基础上,构建了相应的激励模型,以期对企业知识型员工的人本管理工作起到一定的指导作用。     

土地生命周期管理模式研究

本文根据地政管理的特点,着重介绍了土地生命周期管理的内容,并从业务模型和数据模型方面其管理模式的建立进行了探讨,给出了基于土地生命周期管理模式的系统建设构想.     

金融危机以来我国沿海港口货物吞吐量影响因素研究——兼论我国经济由外需拉动向内需驱动转型的一个证据

通过建立基于贸易引力模型的我国沿海港口货物吞吐量影响因素的VAR模型,分别考察了交通运输业固定投资、人民币汇率、世界经济状况和国内经济状况对我国沿海港口货物吞吐量的影响,并以金融危机以来的数据作为样本对该模型进行了实证检验。由脉冲响应和方差分解分析发现:世界经济发展状况对我国沿海港口货物吞吐量的影响最大,且世界经济的复苏将显著提高沿海港口货物吞吐量;交通运输业固定投资在经过一个滞后期后,也会对沿海港口货物吞吐量起到积极的作用;人民币汇率对我国沿海港口货物吞吐量的影响不可忽略,且汇率上升(即本币贬值)将提高沿海港口货物吞吐量;而国内经济发展状况则与我国沿海港口货物吞吐量之间并不存在显著的确定关系,这或表明我国经济的发展方式正由外需拉动向内需驱动转型。     

基于朴素贝叶斯模型的电子证照用证智能推荐

数字政务是数字政府建设中的重要组成部分,研究电子证照智能服务有助于数字政务改革。结合朴素贝叶斯模型与某省政务数据构建用证预测模型,并对模型的有效性进行检验。结果表明：法人类型高频办件前10种组合占全部组合的49.46%,远高于个人类型政务服务事件;全省范围内个人用证、法人用证推荐准确率分别可达到53.22%、68.51%,按地市构建模型能够有效提升准确率,部分区域准确率最高可达96.24%;缩小判定政务服务事件先后关系时间窗口,推荐准确率明显降低。研究结果表明了研究方法的有效性,有关方法和结论对提升政府效能具有支撑参考作用。     

产业国际竞争力理论模型研究

产业国际竞争力研究是国际竞争力研究领域的一个重要分支。从国际竞争力的源头追溯,分六个方面探讨了产业国际竞争力的定义,论述了产业国际竞争力与其他竞争力之间的关系,并分析了产业国际竞争力的八大构成要素。     

Does the nature of airport terminal service activities matter? Processing and non-processing service quality,passenger affective image and satisfaction

The surge in air transport demand and the increasingly competitive and volatile market dynamics due to airline deregulation are rapidly transforming airports’ character into multi-service firms and destinations. As a result, service performance measurement of significant systems and their consequent impact on airport users are crucial in creating better airport service design, operation and management for sustainable competitive advantage. The present study 1) assesses the applicability of the Airport Indicators of Passenger Experience (AIPEX) model on Shanghai Pudong International Airport (PVG), and 2) tests a theoretical model that explores the direct and indirect relationships among airport service quality, passenger affective image and satisfaction, as well as the moderating mechanism of passenger type (travel purpose) in these associations. The results indicate that, the AIPEX model fits the PVG context for airport service performance assessment. Also, the theoretical model suggests robust direct associations among processing/non-processing domains and passenger satisfaction, as well as the processing domain and passenger affective image, except non-processing domain and passenger affective image relation. Moreover, significant mediating and moderating effects of passenger affective image and travel purpose on the significant positive direct associations are found. Further, implications for theory and practice are discussed.