Combining Stated Preference and Revealed Preference Methods for the Valuation of Non-market Goods

In this paper,we introduce the combining stated preference and revealed preference methods which is the state-ofthe-art method for the valuation of non-market goods.Revealed preference methods and stated preference (SP) methods have both been applied by economists in valuing non-market goods;however both methods have inherent weaknesses.In order to exploit the strengths of the various approaches while minimizing their weaknesses,combining the two methods has become an important methodological option.Up to now,a growing number of literatures of studying combing the two types of data have evolved,and researchers developed three types of models to estimate combining revealed preference and stated preference data in academic fields:discrete choice model,continuous choice model and mixed choice model.Combining stated and revealed preference methods have been developed fast especially in the transport study field in which ideas could also be leant for environmental economic studies.

Disaggregate Traffic Mode Choice Model Based on Combination of Revealed and Stated Preference Data

The conventional traffic demand forecasting methods based on revealed preference （RP） data are not able to predict the modal split. Passengers＇ stated intentions are indispensable for modal split forecasting and evaluation of new traffic modes. This paper analyzed the biases and errors included in stated preference data, put forward the new stochastic utility functions, and proposed an unbiased disaggregate model and its approximate model based on the combination of RP and stated preference （SP） data, with analysis of the parameter estimation algorithm. The model was also used to forecast rail transit passenger volumes to the Beijing Capital International Airport and the shift ratios from current traffic modes to rail transit. Experimental results show that the model can greatly increase forecasting accuracy of the modal split ratio of current traffic modes and can accurately forecast the shift ratios from current modes to the new mode.

Application of Disaggregated Logit Modeling with Stated Preference Method in Park and Ride Behavior for Non-local Private Car Travelers in Big Events

During big events, non-local private car travelers can be divided into two types which were returning in one day and in several days. It was demonstrated that those two kinds of travelers have distinct behavior on park and ride （P＆R）, due to their different travel demand and behavior attributes. In this paper focusing on the travelers returning in several days, the travel attributes and requirements for P＆R were analyzed with stated preference survey. A P＆R choice behavior disaggregated logit model was established and calibrated based on random utility theory. The model concludes three variables, which were travel time, parking fee and comprehensive attractiveness index for suburban satellite towns comparing to urban district. The results revealed that for travelers returning in several days the primary key point is increasing the attractiveness of suburban satellite towns.

Big data assessment on the operating characteristics of on-line taxis and thoughts on relevant policies

A double-dimensional big data assessment method on the characteristics of on-line taxi traffic operation is proposed to provide a scientific basis for carrying out the taxi industry reform and standardizing the on-line taxi hailing management work. Taking Shenzhen as an example, multi- source data such as on-line taxi license plate data, plate identification data and taxi （including on-line taxis） operation data are combined with the results of the stated preference （SP） survey on taxi operating characteristics to assess the overall operation characteristics of on-line taxis. The results show that the current on-line taxis in Shenzhen can be divided into three categories, that is, full-time on-line taxis, non- active on-line taxis and part-time on-line taxis, accounting for 4%, 55%, and 41%, respectively, of the total quantity. In terms of the characteristics of space-time operations, full-time on-line taxis have similar operating characteristics as those of traditional taxis; the operation of non-active on-line taxis and part-time on-line taxis coincides with commuting requirements during morning and evening peak hours. However, part-time on-line taxis operate for a much longer time period at night. Due to the convenient hailing and favorable price, on-line taxis have a significant impact on trip modes of citizens; and the substitution eflbct of on-line taxis on traditional buses and cruising taxis is obvious. It is beneficial for helping the government departments to objectively understand the development law of the on-line taxi industry and providing decision reference for the formulation of relevant management policies during the critical development stage of on-line taxi industry.

Travelers'attitudes toward carpooling in Lahore:motives and constraints

Traffic congestion has become a critical issue in developing countries,as it tends to increase social costs in terms of travel cost and time,energy consumption and environmental degradation.With limited resources,reducing travel demand by influencing individuals’ travel behavior can be a better long-term solution.To achieve this objective,alternate travel options need to be provided so that people can commute comfortably and economically.This study aims to identify key motives and constraints in the consideration of carpooling policy with the help of stated preference questionnaire survey that was conducted in Lahore City.The designed questionnaire includes respondents’ socioeconomic demographics,and intentions and stated preferences on carpooling policy.Factor analysis was conducted on travelers’ responses,and a structural model was developed for carpooling.Survey and modeling results reveal that social,environmental and economic benefits,disincentives on car use,preferential parking treatment for carpooling,and comfort and convenience attributes are significant determinants in promoting carpooling.However,people with strong belief in personal privacy,security,freedom in traveling and carpooling service constraints would have less potential to use thecarpooling service.In addition,pro-auto and pro-carpooling attitudes,marital status,profession and travel purpose for carpooling are also underlying factors.The findings implicate that to promote carpooling policy it is required to consider appropriate incentives on this service and disincentives on use of private vehicle along with modification of people’s attitudes and intentions.

A Feasibility Study for New Transport Connections between Italy and Algeria

The present study is part of the Executive Scientific Project 2 in the ItalMed Project which aims to elaborate a feasibility study for new transport connections between Italy and Algeria. The main objectives of the study are to increase the degree of economic integration between the two countries and improve commercial exchanges and direct investments in Algeria by Italian private companies. Moreover, the study tries to promote Italy＇s role as logistic platform for Mediterranean Countries along the east-west and north-south corridors and to improve the capacity of Italian regions to manage international cooperation programs on transport and logistics, finally, to support regional entrepreneurship in the foreign services sector.

Car Insurance Plans Could Make a Society Safer

Insurance companies do not differentiate their customers based on their driving behavior in Iran that leads to reckless driving and thereby imposes significant costs to the society. We provided a model that can predict effects of different policies and discounts on market share of insurance companies. The usage of model has been tested in Tehran insurance market and the results provided showed that people would consider changing their insurance plans based on discounts and costs. Further, the first movers (i.e. the insurance companies that offer the discounts first) would absorb safer drivers and thereby stand in a superior financial position. This could significantly change the dynamics and the role of major players in the insurance market.

A Comparison of Value Elicitation Question Formats in Multiple-Good Contingent Valuation

This paper provides a convergent validity test of two types of multinomial choice questions vis-a-vis a dichotomous choice question by formally testing whether these stated preference elicitation question formats provide comparable welfare estimates. In particular, a dichotomous choice question, a traditional multinomial choice question, and a modified multinomial choice question suggested by Carson and Groves （2007） were applied in split samples to assess the influence of the informational and incentive properties on the respondents＇ annual willingness to accept compensation for adopting costly conservation practices in agriculture that benefit the environment. Our findings suggest that the two multinomial choice question formats elicit a similar mean willingness to accept distributions, but they are both different from a standarddichotomous choice question. Further, the willingness to accept distributions derived from the multinomial choice question formats are more dispersed than those from the dichotomous choice question.