Underlying and Extended Data for Developing a Toll Master Developer Model for Financially Sustainable Assigned Toll Roads

This record contains the underlying and extended data supporting the article entitled “Developing a Toll Master Developer Model for Financially Sustainable Assigned Toll Roads: Integrating Value Capture and Corridor Development in Indonesia.” The study develops a Toll Master Developer (TMD) model as an institutional and business model to improve the financial sustainability of assigned toll-road projects in Indonesia through the integration of corridor development, land value capture, spatial planning, and institutional coordination. The research applies a sequential mixed-method design consisting of a quantitative survey-based stage using Partial Least Squares Structural Equation Modeling (PLS-SEM) and a qualitative model formulation stage using Soft System Methodology (SSM). This record includes five supporting files: TMD Survey Raw Data, containing anonymized survey responses from 70 respondents representing government, toll-road developers, private sector stakeholders, and academia; Survey Questionnaire, containing the research instrument used to identify and assess strategic factors affecting Toll Master Developer effectiveness; Questionnaire Codebook, describing the constructs, indicators, and 7-point Likert-scale measurement used in the study; FGD Guide, containing the semi-structured Focus Group Discussion guide used to validate the conceptual TMD model, including its institutional, regulatory, value capture, and business model implications; and PLS-SEM Output Summary, containing respondent profile, measurement model evaluation, structural model results, coefficient of determination, effect size, and structural equation. The quantitative data support the analysis of strategic factors affecting Toll Master Developer effectiveness, including strategic capability of toll-road developers, investment ecosystem, spatial integration between toll roads and area development, and value capture implementation. The qualitative materials support the formulation and validation of the TMD conceptual model through Soft System Methodology. All human participant-related data have been de-identified. Respondent names, personal contact details, and other direct personal identifiers are not included. Respondent information is limited to analytical categories such as institution type, position category, experience range, education level, and anonymized survey responses. The materials are provided to support research transparency, reproducibility, and compliance with the open data requirements of F1000Research.本数据集包含支撑题为《构建面向印尼财政可持续性指派收费公路的收费公路总开发商（Toll Master Developer, TMD）模型：整合价值捕获与走廊开发》学术文章的基础与拓展性数据。 本研究构建收费公路总开发商模型作为制度与商业模式，通过整合走廊开发、土地价值捕获、空间规划与制度协调，提升印尼指派收费公路项目的财政可持续性。研究采用序贯混合研究设计，包含两个阶段：其一为基于问卷调查的定量研究阶段，使用偏最小二乘结构方程模型（Partial Least Squares Structural Equation Modeling, PLS-SEM）；其二为定性模型构建阶段，使用软系统方法论（Soft System Methodology, SSM）。 本数据集包含五份支撑文件： 1. 《TMD调研原始数据》：涵盖70名受访者的匿名化调研回复，受访者群体覆盖政府部门、收费公路开发商、私营部门利益相关方及学术界； 2. 《调研问卷》：包含本研究用于识别与评估影响收费公路总开发商效能的战略因素的研究工具； 3. 《问卷编码手册》：阐述本研究使用的构念、观测指标与7点李克特（Likert-scale）量表测量方式； 4. 《焦点小组讨论指南（Focus Group Discussion, FGD）》：包含用于验证收费公路总开发商概念模型的半结构化焦点小组讨论指南，涵盖其制度、监管、价值捕获与商业模式内涵； 5. 《PLS-SEM输出摘要》：包含受访者概况、测量模型评估结果、结构模型结果、决定系数、效应量与结构方程。 定量数据可用于支撑影响收费公路总开发商效能的战略因素分析，相关战略因素包括收费公路开发商的战略能力、投资生态系统、收费公路与区域开发的空间整合度，以及价值捕获实施情况。定性材料则通过软系统方法论，支撑收费公路总开发商概念模型的构建与验证。 所有涉及人类受试者的数据均已完成去标识化处理，未包含受访者姓名、个人联系方式及其他直接个人识别信息。受访者信息仅限定于机构类型、岗位类别、从业年限区间、教育水平等分析维度，以及匿名化调研回复。本数据集的公开旨在支撑研究透明度、可重复性，并符合F1000Research的开放数据要求。