基于用地分布特征的共享汽车需求估计模型

doi:10.3969/j.issn.16740696.2020.05.01

重庆交通大学学报（自然科学版） ›› 2020, Vol. 39 ›› Issue (05): 1-6.DOI: 10.3969/j.issn.16740696.2020.05.01

• 交通+大数据人工智能 • 下一篇

基于用地分布特征的共享汽车需求估计模型

孙立山1，王顺超1，罗薇1，姚丽亚2，王琨1

(1. 北京工业大学北京市交通工程重点实验室，北京 100124； 2. 北京理工大学机械与车辆工程学院，北京 100081)

收稿日期:2018-05-14 修回日期:2018-10-04 出版日期:2020-05-26 发布日期:2020-06-18
作者简介:孙立山(1980—)，男，河北唐山人，教授，博士，主要从事共享汽车发展定位与规划、行人行为分析与枢纽规划方面的研究。Email:lssun@bjut.edu.cn。
基金资助:
国家自然科学基金项目（51308017）;北京市科技计划项目(D161100005616001);北京市自然科学基金重点项目（4181002）;北京市交通委科技项目（Z191100002519002）

CarSharing Demand Estimation Model Based on Land Use Distribution Characteristics

SUN Lishan1, WANG Shunchao1, LUO Wei1, YAO Liya2, WANG Kun1

(1. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China; 2. School of Mechanical and Vehicle Engineering, Beijing Institute of Technology, Beijing 100081, China)

Received:2018-05-14 Revised:2018-10-04 Online:2020-05-26 Published:2020-06-18

摘要/Abstract

摘要： 在交通拥堵与环境污染问题不断加剧的背景之下，共享汽车因其资源利用低、降低出行量等方面的优势受到广泛关注。但由于共享条件下汽车需求分布机理研究的尚不清晰，抑制着共享汽车的优势发挥与规模发展。针对此问题，提供了一种基于用地分布特征的共享汽车需求预测方法。该方法主要由数据调查、用地指标构建和需求模型搭建与验证等部分组成。根据居民出行目的，通过分类与统计站点影响范围内的兴趣点(POI)类型及分布，精细化站点周边用地分布特征，建立基于用地指标的需求预测模型，以深入挖掘了共享汽车需求与周边用地分布特征的互动机理。模型构建与验证结果呈现较好的拟合度与符合度，较好地揭示与验证了共享汽车需求与用地分布的互动关系。研究结果对于共享汽车需求分布机理的理论挖掘具有指导意义，并可为共享汽车的运营与发展决策提供支撑与指导。

关键词: 交通运输工程, 城市交通, 共享汽车, 精细化用地, 兴趣点, 直接估计模型

Abstract: In the context of increasing traffic congestion and environmental pollution, carsharing has received widespread attention due to their advantages in resource utilization and travel volume reduction. However, due to the unclear research on the distribution mechanism of vehicle demand under the condition of sharing, the advantages and scale development of carsharing are restrained. In order to solve this problem, a method for forecasting traffic demand of carsharing based on land use characteristics was proposed. The proposed method consisted of three parts: data investigation, land use index construction and demand model building as well as verification. According to the purpose of residents travel, through the classification and statistics of POI types and distribution within the influence scope of the site, the distribution characteristics of the surrounding land of the site were refined, and the demand prediction model based on the land use indicators was established, so as to deeply explore the interaction mechanism between the carsharing demand and the surrounding land distribution characteristics. The results of model construction and verification show a good fit and compliance, which reveals and verifies the interaction between the demand of car sharing and the distribution of land. The research results are of guiding significance for the theoretical mining of the demand distribution mechanism of carsharing, and can provide support and guidance for the operation and development decisionmaking of carsharing.

Key words: traffic and transportation engineering, urban traffic, carsharing, precise land use, point of interest, direct estimation model

中图分类号:

U 491.1

孙立山1，王顺超1，罗薇1，姚丽亚2，王琨1. 基于用地分布特征的共享汽车需求估计模型[J]. 重庆交通大学学报（自然科学版）, 2020, 39(05): 1-6.

SUN Lishan1, WANG Shunchao1, LUO Wei1, YAO Liya2, WANG Kun1. CarSharing Demand Estimation Model Based on Land Use Distribution Characteristics[J]. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(05): 1-6.

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基于用地分布特征的共享汽车需求估计模型

CarSharing Demand Estimation Model Based on Land Use Distribution Characteristics

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