GIS-Based Survey over the Public Transport Strategy: An Instrument for Economic and Sustainable Urban Traffic Planning

• Published in: ISPRS international journal of geo-information Vol. 11; no. 1; p. 16
• Main Authors: Droj, Gabriela, Droj, Laurențiu, Badea, Ana-Cornelia
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2022
• Subjects: Accidents; Analysis; Arteries; Automobile safety; Cities; Costs; Economics; Efficiency; Geographic information systems; Geographical information systems; geospatial analysis; GIS; Impact analysis; Infrastructure; Land use; Mathematical analysis; Mathematical models; Mobility; Network analysis; Occupational safety; Peak hour traffic; Pollution levels; Population; public transport; Public transportation; Regional development; Regional planning; Road works; Roads; Roads & highways; Simulation; Spatial data; Surveying; sustainable transport; Traffic accidents; Traffic accidents & safety; Traffic congestion; Traffic control; Traffic flow; Traffic information; Traffic models; Traffic planning; Transportation networks; Transportation planning; Urban areas; Urban planning; urban traffic; Urbanization; Europe
• ISSN: 2220-9964; 2220-9964
• DOI: 10.3390/ijgi11010016

Traffic has a direct impact on local and regional economies, on pollution levels and is also a major source of discomfort and frustration for the public who have to deal with congestion, accidents or detours due to road works or accidents. Congestion in urban areas is a common phenomenon nowadays, as the main arteries of cities become congested during peak hours or when there are additional constraints such as traffic accidents and road works that slow down traffic on road sections. When traffic increases, it is observed that some roads are predisposed to congestion, while others are not. It is evident that both congestion and urban traffic itself are influenced by several factors represented by complex geospatial data and the spatial relationships between them. In this paper were integrated mathematical models, real time traffic data with network analysis and simulation procedures in order to analyze the public transportation in Oradea and the impact on urban traffic. A mathematical model was also adapted to simulate the travel choices of the population of the city and of the surrounding villages. Based on the network analysis, traffic analysis and on the traveling simulation, the elements generating traffic congestion in the inner city can be easily determined. The results of the case study are emphasizing that diminishing the traffic and its effects can be obtained by improving either the public transport density or its accessibility.