{"title":"Modeling Geographic Ferrous Scrap Markets: Regional Prices and Interregional Transactions in the United States","authors":"G. Gruver, F. Giarratani","doi":"10.1111/J.0022-4146.2005.00373.X","DOIUrl":"https://doi.org/10.1111/J.0022-4146.2005.00373.X","url":null,"abstract":"The \"U.S. Regional Ferrous Scrap Model\" analyzes spatial variations in prices for two grades of ferrous scrap using a logistic model of choice under differentiated products. The model uses a computer-generated equilibrium framework to solve for prices that support the observed spatial distribution of supply and demand quantities. This paper presents the model's formal structure and its solution algorithm. The model specification is highly disaggregated with 1,212 supply and 240 demand regions. Characteristics of the equilibrium solution are described for prices and interregional flows. Sensitivity of equilibrium values to changes in model parameters is reported. Copyright Blackwell Publishing Inc. 2005","PeriodicalId":226785,"journal":{"name":"Wiley-Blackwell: Journal of Regional Science","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"119029613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Validation of Multiclass Urban Travel Forecasting Models Combining Origin-Destination, Mode, and Route Choices","authors":"D. Boyce, H. Bar-Gera","doi":"10.1111/1467-9787.00309","DOIUrl":"https://doi.org/10.1111/1467-9787.00309","url":null,"abstract":"The formulation, estimation, and validation of combined models for making detailed urban travel forecasts are described. These models combine origin-destination, mode, and auto route choices into a consistent forecasting method for multiple user classes for the Chicago Region. Household Travel Survey and Census Transportation Planning Package data for 1990, respectively, are used to estimate and validate the model.","PeriodicalId":226785,"journal":{"name":"Wiley-Blackwell: Journal of Regional Science","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"118304579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Environmental Risk and Uncertainty: Insights from Yucca Mountain","authors":"Mary C. Riddel, C. Dwyer, W. Shaw","doi":"10.1111/1467-9787.00306","DOIUrl":"https://doi.org/10.1111/1467-9787.00306","url":null,"abstract":"This study examines the effects of the risk from transporting high-level radioactive waste to the proposed Yucca Mountain repository on housing location decisions in Southern Nevada. Using data from a survey of southern Nevada households, we develop a model-based subjective risk estimate for each household. We then explore different factors that may influence the household's location decisions if the proposed transportation route is ultimately chosen for nuclear waste transport. We extend the conventional expected utility model to allow for uncertainty surrounding the actual risks borne by the household. Finally, we examine the impact of federal government compensation on households' location decisions. The findings indicate that residents currently living near the proposed transportation route express subjective risk estimates much larger than those reported by the Department of Energy. In general, households that are uncertain about the future risks are more likely to relocate than those expressing certainty. When everything is considered, the model predicts that between one and three percent of households living near the transportation route are likely to relocate. Compensation can influence some households to remain at their present location and bear the transport risk. Copyright Blackwell Publishing, Inc. 2003","PeriodicalId":226785,"journal":{"name":"Wiley-Blackwell: Journal of Regional Science","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120325655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Building Spatial Choice Models from Aggregate Data","authors":"Tommi Orpana, J. Lampinen","doi":"10.1111/1467-9787.00301","DOIUrl":"https://doi.org/10.1111/1467-9787.00301","url":null,"abstract":"Choice model construction is usually based on information about a number of separate choice situations, for which all relevant quantities are known. This paper concerns the case where only higher level, aggregate information is available about the choice results and the prevailing conditions. We demonstrate the applicability of a generic inverse parameter estimation method in estimating a model for grocery store choice. We also propose some enhancements to standard spatial choice models and demonstrate their applicability.","PeriodicalId":226785,"journal":{"name":"Wiley-Blackwell: Journal of Regional Science","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"118885194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pricing, Capacity Choice, and Financing in Transportation Networks","authors":"E. Verhoef, J. Rouwendal","doi":"10.2139/ssrn.392036","DOIUrl":"https://doi.org/10.2139/ssrn.392036","url":null,"abstract":"This paper explores the interrelations between pricing, capacity choice and financing in transportation networks. It builds on the famous Mohring-Harwitz result on self-financing of optimally designed roads under optimal congestion pricing, and specifically investigates its ins and outs in a network environment and under various types of second-best regulation. The paper develops a small network model, with endogenous car-ownership, in order to study these questions both from an analytical and a numerical viewpoint. It is for instance shown that application of the principle over an entire network may cause user prices to increase more strongly in initially mildly congested areas compared to heavily congested areas, and that a flat kilometre charge, provided accompanied with optimal capacity policies, may result in first-best efficiency gains.","PeriodicalId":226785,"journal":{"name":"Wiley-Blackwell: Journal of Regional Science","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133894205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}