Abstract

Urban growth strategies are incorporated for land-use planning and transportation to facilitate people's movement towards a mass transit system. This requires transport demand analysis of a particular area so that, if possible, urban re-planning can be done to support long-term sustainable use of the transportation system. The paper focuses on the study of transportation demand analysis in some stations of the recently opened metro system in Qatar. The study uses hypothetical scenarios of land use density to analyze transportation demand. A regression model is used to assess the relationship between the generated transport demand from each type of land use, which shows that the land-use type can substantially impact the ridership of a mass transit system. Based on the analysis conducted in this paper, it can be concluded that if ridership in a particular area is to be increased, its development for mixed land use might be a good option. The proposed mixed-use planning and the insights developed in the paper are expected to help urban planners in different countries with similar urban growth and development situations.

Highlights

  • Urban planners need to consider people’s movement around the urban areas when considering sustainable land‐use planning, decongesting the road network, and promoting economic growth

  • Data required for the analysis are collected from Qatar Rail (QR), the Ministry of Transportation and Communications (MOTC), and the Ministry of Municipality and Environment (MME)

  • This study is developed as an initiative to implement smart growth development principles around rail stations by focusing on the two important indicators, which are land use density and rail transient ridership

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Summary

Introduction

Urban planners need to consider people’s movement around the urban areas when considering sustainable land‐use planning, decongesting the road network, and promoting economic growth. The planners need to focus on retaining the social and cultural fabric in the area. Increased vehicle ownership and lagged development of roads and associated infrastructure (like parking, side roads, and expressways) create congestion. Such a situation increases waiting time, pollution in the area, unproductive use of fuel, and the loss of economic activity due to congestion. Bilbao‐Ubillos (2008) mentions that the loss depends on the cumulative value of wage, reduced vehicle speed, and the time taken to the destination of economic activity. Bilbao‐Ubillos (2008) mentions that such congestions increase noise and emissions in the area

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