{"title":"埃塞俄比亚亚的斯亚贝巴市的拥堵收费和决定为减少拥堵付费意愿的因素","authors":"","doi":"10.1016/j.cstp.2024.101265","DOIUrl":null,"url":null,"abstract":"<div><p>Over the last two decades and a half, the Ethiopian government has been involved in extensive road construction as part of successive road development plans that have significantly increased road network coverage. However, the tendencies that worsen congestion show no signs of abating. As a result, drivers and passengers waste time in long traffic lines, rendering modern travel unreliable and increasing travel costs due to delays. To curb the problem, the remedies proposed by practitioners or researchers are mostly centred on the supply side. This study aims to determine drivers’ willingness to pay (WTP) (from the demand side) for a hypothetical congestion reduction project. A stated preference survey was utilised on the population identified in nine segments in Addis Ababa’s Kolfe Keraniyo sub-city. The data was gathered from 1012 respondents using a survey questionnaire based on the contingent valuation method (CVM). Tobit and Heckman two-step selection models were used to estimate factors determining WTP for congestion reduction. Accordingly, the analysis showed that the average amount of willingness to pay by drivers was estimated to be birr 2.7 ($0.05) per km. Education, marital status, income, segment use, and trip frequency significantly determined the outcome equation, while age, gender, income, occupation, work experience, and regularity and frequency of segment use were found to determine the decision to participate in WTP to accept congestion pricing. Identifying the willingness to pay and the desired price can assist the Addis Ababa City Administration in establishing a baseline for any future congestion reduction strategy based on congestion pricing.</p></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Congestion charging and factors that determine the willingness to pay for congestion reduction in Addis Ababa City, Ethiopia\",\"authors\":\"\",\"doi\":\"10.1016/j.cstp.2024.101265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Over the last two decades and a half, the Ethiopian government has been involved in extensive road construction as part of successive road development plans that have significantly increased road network coverage. However, the tendencies that worsen congestion show no signs of abating. As a result, drivers and passengers waste time in long traffic lines, rendering modern travel unreliable and increasing travel costs due to delays. To curb the problem, the remedies proposed by practitioners or researchers are mostly centred on the supply side. This study aims to determine drivers’ willingness to pay (WTP) (from the demand side) for a hypothetical congestion reduction project. A stated preference survey was utilised on the population identified in nine segments in Addis Ababa’s Kolfe Keraniyo sub-city. The data was gathered from 1012 respondents using a survey questionnaire based on the contingent valuation method (CVM). Tobit and Heckman two-step selection models were used to estimate factors determining WTP for congestion reduction. Accordingly, the analysis showed that the average amount of willingness to pay by drivers was estimated to be birr 2.7 ($0.05) per km. Education, marital status, income, segment use, and trip frequency significantly determined the outcome equation, while age, gender, income, occupation, work experience, and regularity and frequency of segment use were found to determine the decision to participate in WTP to accept congestion pricing. Identifying the willingness to pay and the desired price can assist the Addis Ababa City Administration in establishing a baseline for any future congestion reduction strategy based on congestion pricing.</p></div>\",\"PeriodicalId\":46989,\"journal\":{\"name\":\"Case Studies on Transport Policy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Case Studies on Transport Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213624X24001202\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Case Studies on Transport Policy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213624X24001202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION","Score":null,"Total":0}
Congestion charging and factors that determine the willingness to pay for congestion reduction in Addis Ababa City, Ethiopia
Over the last two decades and a half, the Ethiopian government has been involved in extensive road construction as part of successive road development plans that have significantly increased road network coverage. However, the tendencies that worsen congestion show no signs of abating. As a result, drivers and passengers waste time in long traffic lines, rendering modern travel unreliable and increasing travel costs due to delays. To curb the problem, the remedies proposed by practitioners or researchers are mostly centred on the supply side. This study aims to determine drivers’ willingness to pay (WTP) (from the demand side) for a hypothetical congestion reduction project. A stated preference survey was utilised on the population identified in nine segments in Addis Ababa’s Kolfe Keraniyo sub-city. The data was gathered from 1012 respondents using a survey questionnaire based on the contingent valuation method (CVM). Tobit and Heckman two-step selection models were used to estimate factors determining WTP for congestion reduction. Accordingly, the analysis showed that the average amount of willingness to pay by drivers was estimated to be birr 2.7 ($0.05) per km. Education, marital status, income, segment use, and trip frequency significantly determined the outcome equation, while age, gender, income, occupation, work experience, and regularity and frequency of segment use were found to determine the decision to participate in WTP to accept congestion pricing. Identifying the willingness to pay and the desired price can assist the Addis Ababa City Administration in establishing a baseline for any future congestion reduction strategy based on congestion pricing.