Claim Missing Document
Check
Articles

Found 2 Documents
Search

Analysis of Sidewalk Comfort Level Based on Width, Cleanliness, Surface Condition, Lighting, and Availability of Signage and Directional Indicators on Sudibyo Street Sidewalks in Tegal City Ulhaq, Dhiya; Basfian, Muhammad Fahri; Ayuningtyas, Nurina Vidya; Brilianti, Dani Fitria
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 3 No. 4 (2024): Vol. 3 No. 4 2024
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v3i4.549

Abstract

Sidewalks are essential for facilitating pedestrian movement and promoting sustainable transportation in urban areas. On Kapten Sudibyo Street in Tegal City, which serves as a main access route to Kardinah Hospital, the sidewalks currently do not meet adequate safety and comfort standards. Problems such as uneven surfaces, reduced width, poor maintenance, and obstructions like illegal parking and public facilities hinder pedestrian comfort and accessibility. This study aims to assess the comfort level of these sidewalks, focusing on factors including width, cleanliness, surface condition, lighting, and signage. Using qualitative method with observations and Guttman-scale surveys distributed to 200 respondents, mainly local students who frequently use the sidewalks, the research analyzed how these factors impact perceived comfort. The results reveal a generally low comfort level, with 72% of respondents expressing dissatisfaction due to poor conditions of the sidewalk. Key recommendations include widening sidewalks to a minimum of 200 cm, repairing uneven surfaces, maintaining cleanliness, upgrading lighting, and providing clear signage. Additional measures involve relocating obstructive public facilities and enforcing regulations against illegal parking to enhance accessibility and safety. These improvements are crucial for creating a more inviting and functional pedestrian space, encouraging walking as a mode of transport, and contributing to a healthier urban environment.
Analisis Pengaruh Nilai Surface Distress Index (SDI) Terhadap Kecepatan Kendaraan di Jalan Kolonel Sudiarto Kota Tegal Hadi, Suprapto; Ulhaq, Dhiya; Basfian, Muhammad Fahri; Satria, Muhammad Hanif; Vijayo, Charrly Dittha
Jurnal Konstruksi dan Infrastruktur : Teknik Sipil dan Perencanaan Vol 14 No 1 (2026): Jurnal Konstruksi dan Infrastruktur Vol 14 No.1 : April 2026
Publisher : Civil Engineering Department, Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jki.v14i1.11297

Abstract

Understanding how pavement surface conditions influence operating speed is essential for improving road safety and optimizing urban traffic performance. This research investigates how pavement surface deterioration represented by the Surface Distress Index (SDI) influences vehicle operating speeds along Kolonel Sudiarto Street, a key urban roadway in Tegal City. A quantitative descriptive method was employed, in which pavement conditions were evaluated using the SDI framework, and vehicle speeds were obtained through space mean speed (SMS) measurements. A total of 358 vehicle samples were examined through simple linear regression to quantify the influence of SDI on motorcycle and passenger car operating speeds. The findings reveal a strong and statistically significant negative association between SDI and motorcycle speed (R² = 0.947), demonstrating that higher levels of pavement distress markedly decrease motorcycle operating speeds. In contrast, the relationship between SDI and car speed is weak and not statistically significant (R² = 0.064), suggesting that car speeds are influenced more by traffic dynamics and vehicle stability than by pavement surface deterioration. Combined regression simulations further demonstrate that motorcycles are markedly more sensitive to incremental surface distress. These findings affirm the relevance of SDI as a key indicator for evaluating pavement performance and predicting speed behavior, emphasizing the need for timely maintenance interventions to support safer and more efficient urban road operations.