diff --git a/src/main/java/playground/gleich/plans/ModifyIncomeStreamReading.java b/src/main/java/playground/gleich/plans/ModifyIncomeAndPersonScoreAttributesStreamReading.java
similarity index 64%
rename from src/main/java/playground/gleich/plans/ModifyIncomeStreamReading.java
rename to src/main/java/playground/gleich/plans/ModifyIncomeAndPersonScoreAttributesStreamReading.java
index 9594c8e..b6267d5 100644
--- a/src/main/java/playground/gleich/plans/ModifyIncomeStreamReading.java
+++ b/src/main/java/playground/gleich/plans/ModifyIncomeAndPersonScoreAttributesStreamReading.java
@@ -20,11 +20,18 @@
 package playground.gleich.plans;
 
 import org.matsim.api.core.v01.Scenario;
+import org.matsim.api.core.v01.TransportMode;
+import org.matsim.api.core.v01.population.Person;
 import org.matsim.core.config.ConfigUtils;
+import org.matsim.core.gbl.MatsimRandom;
 import org.matsim.core.population.PersonUtils;
 import org.matsim.core.population.io.StreamingPopulationReader;
 import org.matsim.core.population.io.StreamingPopulationWriter;
 import org.matsim.core.scenario.ScenarioUtils;
+import org.matsim.core.scoring.functions.PersonSpecificScoringAttributesSetter;
+import org.matsim.utils.math.RandomFromDistribution;
+
+import java.util.*;
 
 /**
  * @author gleich
@@ -33,25 +40,36 @@
  * pass through this area by car (and ignore all other agents).
  * 
  */
-public class ModifyIncomeStreamReading {
+public class ModifyIncomeAndPersonScoreAttributesStreamReading {
 
 	public static void main(String[] args) {
-		String inputPopulationPath = "/home/gregor/git/public-svn/matsim/scenarios/countries/de/berlin/berlin-v5.5-10pct/input/berlin-v5.5-10pct.plans.xml.gz";
-		String outputPopulationPath = "/home/gregor/git/public-svn/matsim/scenarios/countries/de/berlin/berlin-v5.5-10pct/input/berlin-v5.5-10pct.plans_income_all_identical.xml.gz";
+		double mean = -0.017;
+		double sigma = 3;
+		String mode = TransportMode.car;
+		String inputPopulationPath = "../public-svn/matsim/scenarios/countries/de/berlin/berlin-v6.0/input/berlin-v6.0-10pct.plans.xml.gz";
+		String outputPopulationPath = "../public-svn/matsim/scenarios/countries/de/berlin/berlin-v6.0/input/berlin-v6.0-10pct.plans_person_asc_" + mode + "_mean_" + mean + "_sigma_" + sigma + ".xml.gz";
 
 		Scenario inputScenario = ScenarioUtils.createScenario(ConfigUtils.createConfig());
 
 		System.out.println("initialize done");
 		StreamingPopulationWriter popWriter = new StreamingPopulationWriter();
 		popWriter.writeStartPlans(outputPopulationPath);
+
+		SplittableRandom splittableRandom = new SplittableRandom(1234);
 		
 		StreamingPopulationReader spr = new StreamingPopulationReader(inputScenario);
 		spr.addAlgorithm(person -> {
-			Double oldIncome = PersonUtils.getIncome(person);
-			if (oldIncome != null) {
-				double newIncome = 1;
-				PersonUtils.setIncome(person, newIncome);
+//			Double oldIncome = PersonUtils.getIncome(person);
+//			if (oldIncome != null) {
+//				double newIncome = 1;
+//				PersonUtils.setIncome(person, newIncome);
+//			}
+			Map<String, String> modeConstants = PersonUtils.getModeConstants(person);
+			if (modeConstants == null) {
+				modeConstants = new HashMap<>();
 			}
+			modeConstants.put(mode, Double.toString(RandomFromDistribution.nextLogNormalFromMeanAndSigma(splittableRandom, mean, sigma)));
+			PersonUtils.setModeConstants(person, modeConstants);
 			popWriter.writePerson(person);
 		}
 		);