Low-Carbon Impact of Urban Rail Transit Based on Passenger Demand Forecast in Baoji

Na Zhang,Jingni Song,Jianpo Wang,Feng Chen,Yu Li,Zijia Wang

doi:10.3390/en13040782

Na Zhang, Jingni Song + Show 4 more

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https://doi.org/10.3390/en13040782

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Journal: Energies	Publication Date: Feb 11, 2020
Citations: 7	License type: CC BY 4.0

Affiliation: Chang'an University, Beijing Jiaotong University

Abstract

There are increasing traffic pollution issues in the process of urbanization in many countries; urban rail transit is low-carbon and widely regarded as an effective way to solve such problems. The passenger flow proportion of different transportation types is changing along with the adjustment of the urban traffic structure and a growing demand from passengers. The reduction of carbon emissions brought about by rail transit lacks specific quantitative research. Based on a travel survey of urban residents, this paper constructed a method of estimating carbon emissions from two different scenarios where rail transit is and is not available. This study uses the traditional four-stage model to forecast passenger volume demand at the city level and then obtains the basic target parameters for constructing the carbon emission reduction model, including the trip origin-destination (OD), mode, and corresponding distance range of different modes on the urban road network. This model was applied to Baoji, China, where urban rail transit will be available from 2023. It calculates the changes in carbon emission that rail transit can bring about and its impact on carbon emission reductions in Baoji in 2023.

Highlights

Transportation is the main source of urban greenhouse gas emissions
Estimating the energy consumption and carbon emission of rail transit passengers, and constructing a method to forecast the emission reduction of rail transit based on passenger demand, could support the formulation of urban low-carbon transportation policies and the construction of low-carbon infrastructures
Using the traffic zone divided as a collection unit, the travel path and distance from different transportation demands generated on the road network under rail transit and rail transit free scenarios were determined

Summary

Introduction

Transportation is the main source of urban greenhouse gas emissions. To tackle this requires the development of low-carbon transportation to reduce the energy consumption of urban transportation.The development of rail transit in large- and medium-sized cities can improve and alleviate the traffic pressure of urban residents’ travel, and reduces the urban resources waste and protects the environment [1]. Transportation is the main source of urban greenhouse gas emissions. To tackle this requires the development of low-carbon transportation to reduce the energy consumption of urban transportation. The development of rail transit in large- and medium-sized cities can improve and alleviate the traffic pressure of urban residents’ travel, and reduces the urban resources waste and protects the environment [1]. Its structure has changed significantly; the carbon emission composition of urban transportation has changed [6,7]. With regards the framework of urban traffic structure, the proportion of rail transit is increasing year by year, contributing to urban traffic energy savings and significantly reducing emissions [8,9,10,11]. Estimating the energy consumption and carbon emission of rail transit passengers, and constructing a method to forecast the emission reduction of rail transit based on passenger demand, could support the formulation of urban low-carbon transportation policies and the construction of low-carbon infrastructures

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Results

Conclusion