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Citation |
Andersen SJ, Mahmassani HS, Helaakoski R, Euritt MA, Walton CM, Harrison R. Transp. Res. Rec. 1993; 1395: 144-152. |
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Copyright |
(Copyright © 1993, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing) |
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DOI |
unavailable |
PMID |
unavailable |
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Abstract |
The economic effects of bypasses are addressed from several methodological perspectives. A data base for bypassed cities in the state of Texas was developed. A control city was chosen for each bypassed city in the sample to control for the effect of the bypass. Econometric models were developed to relate retail sales, gasoline sales, restaurant sales, and service receipts to the pertinent characteristics of the area. The models showed that a bypass generally brought a small, but statistically significant, decrease to business volumes in bypassed cities. Cluster analysis, a multivariate statistical procedure, was used to explore a possible grouping of cities that can help predict the economic impact of bypasses. Cluster analysis emphasized the importance of the economic base of a city, as captured in the geographic regions in which the city is located. Inclusion of the regional cluster variables in the econometric models improved the specification and predictive abilities of the models. Beyond formal analysis, individual case studies showed that local communities might not necessarily perceive bypasses as negative but as one of many factors contributing to the overall performance of a city in a rural setting. Language: en |