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A., 2006, Predicting Accident Rates for Cyclists and Pedestrians.",{},{"id":24,"text":1265,"url":24,"identifiers":1266},"Leden L., 2002, Accident Analysis and Prevention, 34, 457, 10.1016\u002FS0001-4575(01)00043-4",{"doi":1267},"10.1016\u002FS0001-4575(01)00043-4",{"id":24,"text":1269,"url":24,"identifiers":1270},"Lyon C., 2002, Transportation Research Record: Journal of the Transportation Research Board, No. 1818, 102",{},{"id":24,"text":1272,"url":24,"identifiers":1273},"Schneider R. 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C., 1998, Transportation Research Record 1635, 88",{},{"id":1296,"createTime":1297,"updateTime":1297,"relativeEntities":1298,"slug":1299,"properties":1300,"entityType":184,"verifyStatus":185,"verifyTime":1297,"verifyNote":186,"languages":1311,"translateLanguages":24,"viewCount":25,"primaryUrl":1312,"fullTextUrl":24,"authors":1313,"publicationType":227,"publisherRelationship":1331,"citationCount":1385,"citationInfo":1386,"publishDate":1389,"publishYear":1387,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":1390,"openAccess":24,"references":1391,"isForceReanalyzing":364},"acab5075-aa71-4067-b7e6-5ec53c2d5acc","2025-02-04T23:41:38.934+00:00",[],"Testing-for-the-Significance-of-Induced-Highway-Travel-Demand-in-Metropolitan-Areas",{"openalex":1301,"mag":1303,"abstract":1305,"title":1307,"doi":1309},{"VOID":1302},"W1963928744",{"VOID":1304},"1963928744",{"EN":1306},"\u003Cjats:p> A research study was conducted to evaluate and quantify the effect of highway capacity improvements on travel demand. Statistical models using Nationwide Personal Transportation Survey data were designed to estimate relationships between average household travel time and vehicle-miles of travel. Several regression models were estimated, and the results were stratified by urbanized area, public transportation availability, metropolitan area size, family life cycle, day-of-week of travel, and population density. Travel-time elasticities of -0.3 to -0.5 were generally found, after taking into account the effects of household size, income, population density, and household employment. These results suggest that travelers will spend 30 to 50 percent of the time savings afforded by highway improvements in additional travel. 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B., 1999, Presented at 78th Annual Meeting of the Transportation Research Board",{},{"id":24,"text":1396,"url":24,"identifiers":1397},"Lee D. 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