Share

Export Citation

APA
MLA
Chicago
Harvard
Vancouver
BIBTEX
RIS
Universitas Hasanuddin
Research output:Contribution to journalArticlepeer-review

A Model for the Economic Feasibility Assessment of Urban Road Development in Agglomeration Areas based on Land Value Changes

Idris M.

Engineering Technology and Applied Science Research

Q2
Published: 2025Citations: 1

Abstract

This study develops a model to evaluate the economic feasibility of urban road network development by incorporating land value changes as a key component of the evaluation process. The model addresses the limitations of conventional approaches that focus solely on transportation efficiency by integrating transportation benefits, such as Vehicle Operating Cost (VOC) savings and Value of Time (VoT), with long-term fiscal benefits derived from increases in Taxable Value of Objects (TVO) and Land and Building Tax (LBT). The methodology includes Cost-Benefit Analysis (CBA), traffic simulation using PTV Visum, and a log-linear regression model to quantify the impact of improved accessibility on land value. The model is applied and validated through a case study of the Mamminasata bypass road project in South Sulawesi, Indonesia. The project shows a Benefit-Cost Ratio (BCR) of 2.86, a Net Present Value (NPV) of 7,329.47 million IDR, and an Internal Rate of Return (IRR) of 12.05%, with full payback of the investment within 12 years. This model provides a more integrated, sustainable, and forward-looking approach to assessing the economic viability of road infrastructure development by linking transport efficiency with land value dynamics.

Access to Document

10.48084/etasr.10946

Other files and links

Fingerprint

Land valueSciences
Value (mathematics)Sciences
Economies of agglomerationSciences
Transport engineeringSciences
Land ValuesSciences
Urban agglomerationSciences
GeographySciences
Agricultural economicsSciences
Environmental scienceSciences
Land useSciences
Economic geographySciences
Civil engineeringSciences
EconomicsSciences
Computer scienceSciences
Economic growthSciences
EngineeringSciences
Machine learningSciences