[ { "key": "M2EPKU8C", "version": 11, "library": { "type": "group", "id": 294652, "name": "Vehicle Miles of Travel", "links": { "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/294652/items/M2EPKU8C", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel/items/M2EPKU8C", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Ruan et al.", "parsedDate": "2012-11", "numChildren": 0 }, "data": { "key": "M2EPKU8C", "version": 11, "itemType": "journalArticle", "title": "Modeling urban commercial vehicle daily tour chaining", "creators": [ { "creatorType": "author", "firstName": "Minyan", "lastName": "Ruan" }, { "creatorType": "author", "firstName": "Jie (Jane)", "lastName": "Lin" }, { "creatorType": "author", "firstName": "Kazuya", "lastName": "Kawamura" } ], "abstractNote": "This paper presents a tour-chain-based approach to modeling urban commercial vehicle daily activity patterns. A daily tour chain refers to a sequence of daily tours made by a vehicle. Multinomial logit model results demonstrate that urban daily tour-chain choice is a result of collective decisions based on cost and shipment characteristics. This research has significant contributions to the current literature in filling the gap of understanding such critical logistics decisions as distribution channel and factors affecting tour chaining. Furthermore, the paper presents an innovative use of commercial vehicle travel survey data, and points to the urgent need for better quality data.", "publicationTitle": "Transportation Research Part E: Logistics and Transportation Review", "publisher": "", "place": "", "date": "November 2012", "volume": "48", "issue": "6", "section": "", "partNumber": "", "partTitle": "", "pages": "1169-1184", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Transportation Research Part E: Logistics and Transportation Review", "DOI": "10.1016/j.tre.2012.06.003", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S1366554512000567", "accessDate": "2014-10-08T19:52:51Z", "PMID": "", "PMCID": "", "ISSN": "1366-5545", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Commercial vehicle survey", "type": 1 }, { "tag": "Daily tour chain", "type": 1 }, { "tag": "Tour based", "type": 1 }, { "tag": "Urban commercial vehicle activity", "type": 1 }, { "tag": "Urban distribution strategy", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-10-08T19:52:51Z", "dateModified": "2014-10-08T19:52:51Z" } }, { "key": "S7VFK8SI", "version": 10, "library": { "type": "group", "id": 294652, "name": "Vehicle Miles of Travel", "links": { "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/294652/items/S7VFK8SI", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel/items/S7VFK8SI", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Su", "parsedDate": "2010-02", "numChildren": 0 }, "data": { "key": "S7VFK8SI", "version": 10, "itemType": "journalArticle", "title": "Travel demand in the US urban areas: A system dynamic panel data approach", "creators": [ { "creatorType": "author", "firstName": "Qing", "lastName": "Su" } ], "abstractNote": "Using panel data from 85 urban areas over a 20-year period and applying a system panel data approach, this paper examines the relationship between travel demand in terms of per-capita VMT and urban spatial characteristics. Regression results show that road density and urban spatial size have positive and statistically significant effects on travel demand in the US urban areas. Urban population density and urban congestion have negative and statistically significant effects on travel demand.", "publicationTitle": "Transportation Research Part A: Policy and Practice", "publisher": "", "place": "", "date": "February 2010", "volume": "44", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "110-117", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Transportation Research Part A: Policy and Practice", "DOI": "10.1016/j.tra.2009.12.003", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0965856409001293", "accessDate": "2014-10-07T22:53:30Z", "PMID": "", "PMCID": "", "ISSN": "0965-8564", "archive": "", "archiveLocation": "", "shortTitle": "Travel demand in the US urban areas", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Population density", "type": 1 }, { "tag": "Road density", "type": 1 }, { "tag": "System dynamic panel data estimator", "type": 1 }, { "tag": "Travel demand", "type": 1 }, { "tag": "Urban congestion", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-10-07T22:53:30Z", "dateModified": "2014-10-07T22:53:30Z" } }, { "key": "2GSFMZ5R", "version": 8, "library": { "type": "group", "id": 294652, "name": "Vehicle Miles of Travel", "links": { "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/294652/items/2GSFMZ5R", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel/items/2GSFMZ5R", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Yang and Timmermans", "parsedDate": "2012-10-04", "numChildren": 0 }, "data": { "key": "2GSFMZ5R", "version": 8, "itemType": "journalArticle", "title": "Effects of Fuel Price Fluctuation on Individual CO2 Traffic Emissions: Empirical Findings from Pseudo Panel Data", "creators": [ { "creatorType": "author", "firstName": "Dujuan", "lastName": "Yang" }, { "creatorType": "author", "firstName": "Harry", "lastName": "Timmermans" } ], "abstractNote": "Globalized concerns about greenhouse gasses and increased energy consumptions have stimulated research in transportation about the relationships between fuel prices and emissions. Many researchers have found that higher fuel price can reduce fuel consumption and CO2 emissions through a number of transmission mechanisms. However, most prior studies have been based on aggregate data and therefore do not reflect individual or household CO2 adaptation behavior. Moreover, most studies have used cross-sectional data which inherently limit the study of dynamic effects. This paper therefore uses a pseudo-panel approach to estimate a dynamic model of transportation energy consumption and CO2 emission. Seemingly unrelated regression analysis is used to reveal the interrelations between several dimensions of individual travel behavior such as the number of trips conducted, CO2 emission, travel distance and fuel price. The results indicate that increasing fuel prices have negative effects on vehicle miles travelled, fuel consumption and CO2 emissions, but positive effects on travel distance by public transport and slow modes.", "publicationTitle": "Procedia - Social and Behavioral Sciences", "publisher": "", "place": "", "date": "October 4, 2012", "volume": "54", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "493-502", "series": "Proceedings of EWGT2012 - 15th Meeting of the EURO Working Group on Transportation, September 2012, Paris", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Procedia - Social and Behavioral Sciences", "DOI": "10.1016/j.sbspro.2012.09.767", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S1877042812042292", "accessDate": "2014-10-07T21:34:43Z", "PMID": "", "PMCID": "", "ISSN": "1877-0428", "archive": "", "archiveLocation": "", "shortTitle": "Effects of Fuel Price Fluctuation on Individual CO2 Traffic Emissions", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "CO2 emission", "type": 1 }, { "tag": "Fuel price", "type": 1 }, { "tag": "pseudo panel data", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-10-07T21:34:43Z", "dateModified": "2014-10-07T21:34:43Z" } }, { "key": "FH68IJN6", "version": 7, "library": { "type": "group", "id": 294652, "name": "Vehicle Miles of Travel", "links": { "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/294652/items/FH68IJN6", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel/items/FH68IJN6", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Heres-Del-Valle and Niemeier", "parsedDate": "2011-01", "numChildren": 0 }, "data": { "key": "FH68IJN6", "version": 7, "itemType": "journalArticle", "title": "CO2 emissions: Are land-use changes enough for California to reduce VMT? Specification of a two-part model with instrumental variables", "creators": [ { "creatorType": "author", "firstName": "David", "lastName": "Heres-Del-Valle" }, { "creatorType": "author", "firstName": "Deb", "lastName": "Niemeier" } ], "abstractNote": "With vehicle miles of travel increasing at a faster pace than population, one strategy being actively pursued by both state and local governments is compact development. California recently passed legislation that aggressively promotes sustainability by endorsing and rewarding compact development. Likewise, the California Air Resources Board has set a statewide reduction target of 5MMT of greenhouse gas reductions from land use, based largely on achieving compact development patterns. In this paper, we use a multivariate two-part model with instrumental variables, which corrects for residential location self-selection bias. We use a much larger and more geographically representative travel survey on household travel patterns and socio-economic characteristics than represented in previous California studies; this allows us to robustly consider other influences on travel. Our results indicate that, all else equal, a 10% in residential density would reduce VMT by 1.9%. This elasticity is larger than the reported in previous econometric studies for the US, and specifically for California. However, as we show, the magnitude of this impact is still low considering reasonable ranges for policies aimed to increase residential density.", "publicationTitle": "Transportation Research Part B: Methodological", "publisher": "", "place": "", "date": "January 2011", "volume": "45", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "150-161", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Transportation Research Part B: Methodological", "DOI": "10.1016/j.trb.2010.04.001", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0191261510000536", "accessDate": "2014-10-07T17:40:50Z", "PMID": "", "PMCID": "", "ISSN": "0191-2615", "archive": "", "archiveLocation": "", "shortTitle": "CO2 emissions", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Compact development", "type": 1 }, { "tag": "Density", "type": 1 }, { "tag": "Instrumental variables", "type": 1 }, { "tag": "Land use", "type": 1 }, { "tag": "Self-selection", "type": 1 }, { "tag": "Two-part model", "type": 1 }, { "tag": "VMT", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-10-07T17:40:50Z", "dateModified": "2014-10-07T17:40:50Z" } }, { "key": "E8CFCBK7", "version": 6, "library": { "type": "group", "id": 294652, "name": "Vehicle Miles of Travel", "links": { "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/294652/items/E8CFCBK7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel/items/E8CFCBK7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Bhat et al.", "parsedDate": "2009-01", "numChildren": 0 }, "data": { "key": "E8CFCBK7", "version": 6, "itemType": "journalArticle", "title": "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use", "creators": [ { "creatorType": "author", "firstName": "Chandra R.", "lastName": "Bhat" }, { "creatorType": "author", "firstName": "Sudeshna", "lastName": "Sen" }, { "creatorType": "author", "firstName": "Naveen", "lastName": "Eluru" } ], "abstractNote": "In this paper, we formulate and estimate a nested model structure that includes a multiple discrete-continuous extreme value (MDCEV) component to analyze the choice of vehicle type/vintage and usage in the upper level and a multinomial logit (MNL) component to analyze the choice of vehicle make/model in the lower nest. Data for the analysis are drawn from the 2000 San Francisco Bay Area Travel Survey. The model results indicate the important effects of household demographics, household location characteristics, built environment attributes, household head characteristics, and vehicle attributes on household vehicle holdings and use. The model developed in the paper is applied to predict the impact of land-use and fuel cost changes on vehicle holdings and usage of the households. Such predictions can inform the design of proactive land-use, economic, and transportation policies to influence household vehicle holdings and usage in a way that reduces the negative impacts of automobile dependency such as traffic congestion, fuel consumption and air pollution.", "publicationTitle": "Transportation Research Part B: Methodological", "publisher": "", "place": "", "date": "January 2009", "volume": "43", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "1-18", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Transportation Research Part B: Methodological", "DOI": "10.1016/j.trb.2008.06.009", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0191261508000775", "accessDate": "2014-10-07T17:34:55Z", "PMID": "", "PMCID": "", "ISSN": "0191-2615", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Built environment", "type": 1 }, { "tag": "Gasoline prices", "type": 1 }, { "tag": "Household vehicle holdings and use", "type": 1 }, { "tag": "MDCEV model", "type": 1 }, { "tag": "Vehicle make/model choice", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-10-07T17:34:55Z", "dateModified": "2014-10-07T17:34:55Z" } }, { "key": "D7BXE7KH", "version": 5, "library": { "type": "group", "id": 294652, "name": "Vehicle Miles of Travel", "links": { "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/294652/items/D7BXE7KH", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel/items/D7BXE7KH", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Le Vine et al.", "parsedDate": "2014-09", "numChildren": 0 }, "data": { "key": "D7BXE7KH", "version": 5, "itemType": "journalArticle", "title": "Does the income elasticity of road traffic depend on the source of income?", "creators": [ { "creatorType": "author", "firstName": "Scott", "lastName": "Le Vine" }, { "creatorType": "author", "firstName": "Bingqing (Emily)", "lastName": "Chen" }, { "creatorType": "author", "firstName": "John", "lastName": "Polak" } ], "abstractNote": "An extensive body of literature addresses the income elasticity of road traffic, in which income is typically treated as a homogenous quantity. Here we report evidence of heterogeneity in cross-sectional estimates of the elasticity of vehicle-kilometres of travel (VKT) with respect to income, when household income is disaggregated on the basis of income source.\n\nThe results are generally intuitive, and show that the cross-sectional income elasticity of road traffic is not homogeneous as is typically specified in transport planning models. We show that in a number of circumstances the cross-sectional elasticity with respect to aggregate household income is of the opposite sign in comparison to more refined estimates of elasticity disaggregated by income source. If further research confirms that the elasticities we report here are causal in nature, neglecting the elemental effects could result in misleading results affecting practical infrastructure-investment and policy decisions, particularly as the mix of income sources shifts (e.g. if, as society ages, pension income increases as a share of all income).\n\nThese results are of interest to both researchers and forecasters of travel demand, as well as designers of future travel survey instruments; the latter group must decide how to generate data about respondents’ income. Current expert guidance is to collect a single estimate of aggregate income at the household level. Future travel survey design choices will bound the analyses that can be supported by the resulting survey data, and therefore methodological research to re-visit the trade-offs associated with such choices is warranted.", "publicationTitle": "Transportation Research Part A: Policy and Practice", "publisher": "", "place": "", "date": "September 2014", "volume": "67", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "15-29", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Transportation Research Part A: Policy and Practice", "DOI": "10.1016/j.tra.2014.06.003", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0965856414001438", "accessDate": "2014-10-07T16:20:46Z", "PMID": "", "PMCID": "", "ISSN": "0965-8564", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Income elasticity", "type": 1 }, { "tag": "Income source", "type": 1 }, { "tag": "Road traffic", "type": 1 }, { "tag": "Travel survey methods", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-10-07T16:20:46Z", "dateModified": "2014-10-07T16:20:46Z" } }, { "key": "H5WUN9AI", "version": 4, "library": { "type": "group", "id": 294652, "name": "Vehicle Miles of Travel", "links": { "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/294652/items/H5WUN9AI", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel/items/H5WUN9AI", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Su", "parsedDate": "2011-11", "numChildren": 0 }, "data": { "key": "H5WUN9AI", "version": 4, "itemType": "journalArticle", "title": "Induced motor vehicle travel from improved fuel efficiency and road expansion", "creators": [ { "creatorType": "author", "firstName": "Qing", "lastName": "Su" } ], "abstractNote": "This paper investigates the impact of improved fuel efficiency and road network expansion on motor vehicle travel using a system dynamic panel data estimator and panel data at the state level for the 2001–2008 period. Our model accounts for endogenous changes in fuel efficiency, congestion, fuel cost per mile, and vehicle stock. Our regression results suggest that the short run rebound effect is 0.0276 while the long run rebound effect is 0.11. The short run effect of road capacity per capita is 0.066 while the long run effect is 0.26.", "publicationTitle": "Energy Policy", "publisher": "", "place": "", "date": "November 2011", "volume": "39", "issue": "11", "section": "", "partNumber": "", "partTitle": "", "pages": "7257-7264", "series": "Asian Energy Security", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Energy Policy", "DOI": "10.1016/j.enpol.2011.08.047", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0301421511006446", "accessDate": "2014-10-07T15:56:48Z", "PMID": "", "PMCID": "", "ISSN": "0301-4215", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Fuel efficiency", "type": 1 }, { "tag": "Induced motor vehicle travel", "type": 1 }, { "tag": "System dynamic panel data approach", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-10-07T15:56:48Z", "dateModified": "2014-10-07T15:56:48Z" } }, { "key": "ICTRD443", "version": 3, "library": { "type": "group", "id": 294652, "name": "Vehicle Miles of Travel", "links": { "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/294652/items/ICTRD443", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel/items/ICTRD443", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Su", "parsedDate": "2012-06", "numChildren": 0 }, "data": { "key": "ICTRD443", "version": 3, "itemType": "journalArticle", "title": "A quantile regression analysis of the rebound effect: Evidence from the 2009 National Household Transportation Survey in the United States", "creators": [ { "creatorType": "author", "firstName": "Qing", "lastName": "Su" } ], "abstractNote": "This paper applies quantile regression method to measure the rebound effect and differentiate it with respect to demand for mobility using the 2009 National Household Transportation Survey (NHTS). The quantile regression results indicate that the rebound effect varies with the distribution of vehicle miles traveled (VMT), ranging between 0.11 and 0.19. Road network density and population density also play an important role in determining travel demand. Regression results indicate that travelers living in areas with higher road network density travel more miles although this positive impact consistently declines along the VMT distribution. Travelers living in areas with population density of at most 3000 persons per square miles travel more miles than those living in higher density areas. The quantile regression results also indicate that the impact of income is positive but declines consistently along the VMT distribution.", "publicationTitle": "Energy Policy", "publisher": "", "place": "", "date": "June 2012", "volume": "45", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "368-377", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Energy Policy", "DOI": "10.1016/j.enpol.2012.02.045", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0301421512001620", "accessDate": "2014-10-07T15:25:39Z", "PMID": "", "PMCID": "", "ISSN": "0301-4215", "archive": "", "archiveLocation": "", "shortTitle": "A quantile regression analysis of the rebound effect", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Quantile regression", "type": 1 }, { "tag": "Rebound effect", "type": 1 }, { "tag": "Vehicle miles traveled", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-10-07T15:25:39Z", "dateModified": "2014-10-07T15:25:39Z" } }, { "key": "4IZ6GN3C", "version": 2, "library": { "type": "group", "id": 294652, "name": "Vehicle Miles of Travel", "links": { "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/294652/items/4IZ6GN3C", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/vehicle_miles_of_travel/items/4IZ6GN3C", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Greene", "parsedDate": "2012-02", "numChildren": 0 }, "data": { "key": "4IZ6GN3C", "version": 2, "itemType": "journalArticle", "title": "Rebound 2007: Analysis of U.S. light-duty vehicle travel statistics", "creators": [ { "creatorType": "author", "firstName": "David L.", "lastName": "Greene" } ], "abstractNote": "U.S. national time series data on vehicle travel by passenger cars and light trucks covering the period 1966–2007 are used to test for the existence, size and stability of the rebound effect for motor vehicle fuel efficiency on vehicle travel. The data show a statistically significant effect of gasoline price on vehicle travel but do not support the existence of a direct impact of fuel efficiency on vehicle travel. Additional tests indicate that fuel price effects have not been constant over time, although the hypothesis of symmetry with respect to price increases and decreases is not rejected. Small and Van Dender (2007) model of a declining rebound effect with income is tested and similar results are obtained.", "publicationTitle": "Energy Policy", "publisher": "", "place": "", "date": "February 2012", "volume": "41", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "14-28", "series": "Modeling Transport (Energy) Demand and Policies", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Energy Policy", "DOI": "10.1016/j.enpol.2010.03.083", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0301421510002739", "accessDate": "2014-10-07T15:22:55Z", "PMID": "", "PMCID": "", "ISSN": "0301-4215", "archive": "", "archiveLocation": "", "shortTitle": "Rebound 2007", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Fuel economy", "type": 1 }, { "tag": "Rebound effect", "type": 1 }, { "tag": "Vehicle travel", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-10-07T15:22:55Z", "dateModified": "2014-10-07T15:22:55Z" } } ]