2511 100 0 41 MEASURING READINESS & WILLINGNESS TO PAY OF SURABAYA MASS RAPID TRANSIT (SMART), MONORAIL & TRAM: A SURVEY SUPERVISOR: PROF. IWAN VANANY, S.T., M.T., Ph.D. BY: PUTRI NUR IMANI M.
OUT OUTLI LINES ES INTRODUCTION Background Problem Identification Objectives Benefits Scopes INTRODUCTION LITERATURE REVIEW Transportation Readiness & Readiness Concept Willingness Willingness to Pay Concept WTP Calculations To Pay Previous Research RESEARCH METHODOLOGY LITERATURE REVIEW Research Flowchart Initial Stage Data Collection Stage Data Processing Stage Data Analysis Conclusion RESEARCH METHODOLOGY BY: PUTRI NUR IMANI M.
OUT OUTLI LINES ES DATA COLLECTION AND DATA COLLECTION-PROCESSING PROCESSING Boyorail and Tram Stations Sample Frame Validity & Reliability Test Sample description ANALYSIS AND Readiness to Use Ranking Scale DISCUSSION Willingness to Shift Readiness & Willingness to Pay Willingness CONCLUSION ANALYSIS AND DISCUSSION To Pay RECOMMENDATION Readiness to Use Willingness to Shift Willingness to Pay BIBLIOGRAPHY CONCLUSION-RECOMMENDATION Conclusion Recommendation ATTACHMENT BY: PUTRI NUR IMANI M.
2511 100 0 41 SUPERVISOR: PROF. IWAN VANANY, S.T., M.T., Ph.D. BY: PUTRI NUR IMANI M.
INTRODUCTION Existing Case Lack of public consideration transportation facility ? perception think comment Move to Feasible or not safe + fast convenient Surabaya Mass Rapid Transit integrated Congestion/ traffic/pollution (SMART): Monorail & Tram BY: PUTRI NUR IMANI M.
INTRODUCTION Growth of Private Transportation in Surabaya 2008-2013 8,753,583 Motorcylce (Unit) Car (Unit) 7,128,704 5,726,514 4,465,144 3,007,739 1,373,479 1,028,686 1,088,695 974,266 823,849 526,837 244,435 2008 2009 2010 2011 2012 2013 210.00 2013 2014 199.90 199.80 Makes OVERCAPACITY Trillion Trillion 29.26 32.32 and 29.03 15.88 HIGH BBM CONSUMPTION 14.28 14.14 Million kiloliter premium solar premium subsidized solar subsidized BY: PUTRI NUR IMANI M.
INTRODUCTION Social readiness and willingness of implementing public transportation Monorail and Tram Surabaya Measure readiness to switch and to shift Analyze WTP attributes for monorail and tram Propose cost recommendation BY: PUTRI NUR IMANI M.
INTRODUCTION Government Researcher To know the social willingness for SMART To know the feasibility of SMART project project by considering the appropriate Boyorail and Surotram in Surabaya by transportation price. considering socioeconomic development infrastructure aspect. Assumptions Limitations Concerns only SMART for monorail and Route of monorail and tram do not change tram during the research Targets are employees, PNS, students, Location of monorail and tram station have and household or who uses private fixed transportation Result of survey data can represent the Survey location is in Surabaya city existing condition BY: PUTRI NUR IMANI M.
2511 100 0 41 SUPERVISOR: PROF. IWAN VANANY, S.T., M.T., Ph.D. BY: PUTRI NUR IMANI M.
Public transportation providing people with mobility and access to employment, education, retail, health and recreational facilities which aims to reduce congestion, travel times, air pollution and to improve road system efficiency (Queensland, 2014) Tram Monorail MRT Readiness behavior theory, concerns to environment, value orientation, and relationship to a pro-environmental attitude to leave the private transportation (Garling et al, 1998; Nilsson and Kuller, 2000). Factor Author Sub Factor 1.1 Reduce private 1. Switch to monorail and (Hiscock et al., 2002) transportation tram (Nasrudin, 2013) 1.2 Station distance 2. Travel Motives (Minderhoud, 2005) (Istamto et al.,2014) 3.1 Congestion 3. Environment effects (Tarmizi et al., 2014) 3.2 Pollution (Anable, 2005) 3.3 Accident BY: PUTRI NUR IMANI M.
Willingness to shift consists of attributes becoming as willingness potentials or motives and used to analyze the potential factors influencing to switch. It usually consists of “Yes” or No” questions (Rastogi, 2010) Willingness to pay WTP Measurement one tool to understand the total users think the product or service will be worth in other side of spending cost Revealed Stated (Foreit et al., 2004). Preference Preference Market Data Experiment Indirect survey Direct survey Expert Laboratory Measuring willingness to pay Conjoint analysis judgement 1. Random Utility Model with binary discrete value Field Customer Discrete choice survey 2. WTP estimation of transportation attributes uses analysis Auctions cumulative normal distribution 3. Survey sampling : Cochran formula BY: PUTRI NUR IMANI M.
Author Research Method Result Shows heterogeneity associated with the mean is investigated, (Phanikumar & Willingness-to-Pay and Preference Heterogeneity Multinomial and the travel distance is found to have a statistically significant decomposition effect on the mean of in-vehicle travel time for Maitra, 2007) for Rural Bus Attributes Logits commuting trips Urban Residents’ Awareness and Readiness for (Nasrudin et al., Statistics A significant association exists between the level of willingness to Sustainable Transportation Case Study: Shah Alam, 2013) Summary reducecar usage and the age of respondents Malaysia (Schwarloze et Willingness to pay for public transportation options Random Utility Shows the positive willingness to pay of each transportation attributes al., 2014) for improving the quality of life of the rural elderly Model in each survey area (Ramayana et al, Quality Expectations of Transport Services and Multinomial The preferable and willingness to pay transport service 2007) Willingness to Pay: Case of KSRTC Logits Evaluating factors of the willingness to pay to Double Hurdle (Lera-Lopez et Shows the more aprriciated environmental effect and the mitigate the environmental effects of freight and Moultan al., 2014) socioeconomics factor of willingness transportation crossing the Pyrenees Model (Eboli & Willingness-to-pay of public transport users for Multinomial Providing tool to calculate willingness to pay of public transportation Mazzula, 2008) improvement in service quality Logits by calibrating two models Analisa Willingness-To-Pay Sektor Industri Bagi Comparing willingness to pay’s price with the real price taken by Penggunaan Air Kali Brantas Menggunakan FUZZY (Santi, 2011) Fuzzy MCDM MCDM (Studi Kasus: Daerah Aliran Sungai Jasa Tirta. Brantas, Jawa Timur) Willingness to Shift to Walking or Bicycling to Statistics Shows the user behavior factors influenced the result of willingness to (Rastogi, 2010) Access Suburban Rail: Case Study of Mumbai, India Summary shift of transport improvement BY: PUTRI NUR IMANI M.
2511 100 0 41 SUPERVISOR: PROF. IWAN VANANY, S.T., M.T., Ph.D. BY: PUTRI NUR IMANI M.
RESEARCH METHODOLOGY Start Initial Stage Data Processing Literature Study Observation Study · Validity and reability test · Willingness to pay (WTP) for public · SMART project of Boyorail & Data Processing · Sample characteristics description transportation Surotram Stage · Readiness of using monorail and · Willingness to pay method · Surabaya Car and Motorcylce tram Population · Readiness and willingness to pay · Willingness to shift factor · Surabaya Polpulation · Willingness to pay Research variables Identification Analysis and Discussion Data Analysis · Readiness of using monorail and tram Stage Survey Sampling Calculation · Willingness to shift · Willingness to pay · Monorail and tram cost Data Collection · Data requirement · Survey design Data Collection Conclusion and Recommendation · Questionnaire distribution Stage Last Stage · Recapped questionnaire result Finish BY: PUTRI NUR IMANI M.
RESEARCH METHODOLOGY 1. Willingness to pay (WTP) for Observation Study 1. SMART project of Boyorail & Literature Study public transportation Surotram 2. Willingness to pay method 2. Surabaya car and motorcycle 3. Readiness and willingness to Population pay factor 3. Surabaya Polpulation 4. Measuring willingness to pay 4. Existing problem of public transportation Variables Identification Readiness factors Alternatives of WTP Respondent characteristics -change to monorail and tram -transportation attributes socioeconomic information gender, job, income (Ortuzar, -travel destination -cost recommendation 2001) -environmental impacts BY: PUTRI NUR IMANI M.
RESEARCH METHODOLOGY Survey (Questionnaire) Design Data Requirement Survey Sampling 1. Respondent Private Data 1. Location Target and survey number Using Cochran formula 2. Readiness to use MRT 2. Respondent characteristics 95 % 5 % 50 % 3. Willingness to shift MRT 3. Readiness and WTP CL SE P 4. Willingness to pay MRT Questionnaire Recapitulation Questionnaire Distribution Recapitulation of all survey 31 regions in Surabaya with 264 samples (questionnaire) process Each region has each sample number based on population proportion BY: PUTRI NUR IMANI M.
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