Perfetto v. Erie County Water Authority
Opinion of the Court
—CPLR article 78 proceeding transferred to this Court by an order of Supreme Court, Erie County (Sedita, Jr., J.), entered March 6, 2002, seeking to annul a determination of respondent.
It is hereby ordered that the determination be and the same hereby is unanimously annulled on the law with costs and the amended petition is granted in part in accordance with the following Memorandum: In this proceeding transferred to this Court pursuant to CPLR 7804 (g), petitioner seeks to annul the determination finding him guilty of three acts of misconduct and imposing a penalty of 30 days’ suspension without pay. Petitioner was charged with those acts of misconduct in May
To the extent that the Hearing Officer based his conclusion with respect to the first two charges on the binding effect of the settlement agreement, a legal issue, respondent’s determination was affected by an error of law (see CPLR 7803 [3]). We further agree with petitioner that respondent’s determination is arbitrary and capricious to the extent that respondent has failed to set forth findings of fact supporting its rejection of the Hearing Officer’s findings and recommendation. “Due process considerations mandate that findings of fact be made in a manner wherein the parties are assured that the decision is based on evidence in the record, uninfluenced by extralegal considerations, and that both an intelligent challenge by a party aggrieved by the determination and an adequate judicial review are possible” (Matter of Goohya v Walsh-Tozer, 292 AD2d 384, 384-385; see Simpson v Wolansky, 38 NY2d 391, 396). Where, as here, the administrative agency or official “rejects the Hearing Officer’s determinations of credibility, but fails to make new findings sufficient for judicial review, the determination is arbitrary and capricious” (Matter of Stevens v Axelrod, 162 AD2d 1025, 1026; see Matter of Rochdale Mall Wines & Liqs. v
Case-law data current through December 31, 2025. Source: CourtListener bulk data.