Understanding the impact of smartphone-based multimodal information (SMMI) on travellers' P&R (park-and-ride) choice behaviour is very limited so far. The purpose this study to better understand how SMMI, social network information, and individual characteristics influence mode choices. A stated preference experiment consisting one option two auto-driving routes was conducted collect car commut...

As shown by Guimaraes, Figueiredo and Woodward (2003), a particular class of conditional logit models yield identical parameter estimates to a Poisson count data model. In Schmidheiny and Brülhart (2011), we have pointed out that the conditional logit model and the Poisson model can be seen as polar cases of a continuum of intermediate cases which emerge from a random utility nested logit model...

the objective of this paper is to explore the effect of financial crisis on trade flows of steel industries in the major asian-pacific steel producing countries. using a static and dynamic panel data analysis, we test the hypothesis that the global financial crisis has a negative effect on asia-pacific bilateral steel trade flows. we also examine the role of regional trade integration in bilate...

efficiency in agricultural production is indicative of the efficiency level of farm households in their farming activities. farmers in developing countries do not make use of all the potential technological resources, thus making inefficient decisions in their agricultural activities. herein, technical efficiency in relation with the production of three types of rice crop (boro, aus and aman) w...

We compare multinomial logit and mixed logit models for data on California households’ revealed and stated preferences for automobiles. The stated preference data elicited households’ preferences among gas, electric, methanol, and CNG vehicles with various attributes. The mixed logit models provide a much better fit to these data, and forecasting exercises demonstrate substantial differences be...

Discrete choice models, like the multinomial logit (MNL), have long been recognized for their ability to capture a wide array of transport-related choice phenomena. However, a number of choices are continuous response variables (e.g., location choice, departure time choice, activity duration, and vehicle usage). In this paper, the continuous cross-nested logit (CCNL) model is introduced. The CC...

Considering the fundamental role played by small and medium sized enterprises (SMEs) in the economy of many countries and the considerable attention placed on SMEs in the new Basel Capital Accord, we develop a distress prediction model specifically for the SME sector and to analyze its effectiveness compared to a generic corporate model. The behaviour of financial measures for SMEs is analyzed ...

In this paper, we study data on discrete labor market transitions from Austria. In particular, we follow the careers of workers who experience a job displacement due to plant closure and observe – over a period of forty quarters – whether these workers manage to return to a steady career path. To analyse these discrete-valued panel data, we apply a new method of Bayesian Markov chain clustering...

The application of compositional data analysis through log ratio transformations corresponds to a multinomial logit model for the shares themselves. This model is characterized by the property of Independence of Irrelevant Alternatives (IIA). IIA states that the odds ratio –in this case the ratio of shares – is invariant to the addition or deletion of outcomes to the problem. It is exactly this...