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Analyzing Overnight Parking Demand Characteristics Using City-Scale Automatic Vehicle Identification Data in Shanghai, China

  • Published:2023-01 Issue:1 Volume:149 Page:
  • ISSN:2473-2907
  • Container-title:Journal of Transportation Engineering, Part A: Systems
  • language:en
  • Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Xie Huahui1ORCID,Yu Zhi2,He Zhaocheng3,Chen Kaiying4,Liu Jiuping5,Xie Wenming5

Affiliation:

1. Master’s Student, School of Intelligent Systems Engineering, Sun Yat-Sen Univ., Guangzhou 510275, China. ORCID: .

2. Professor, School of Intelligent Systems Engineering, Sun Yat-Sen Univ., Guangzhou 510275, China (corresponding author).

3. Professor, School of Intelligent Systems Engineering, Sun Yat-Sen Univ., Guangzhou 510275, China.

4. Master, Guangzhou Fundway Smart Transportation R&D Co., Ltd., Qinglan St., University Town, Panyu, Guangzhou 511457, China.

5. Master, Shanghai Bigdata Co., Ltd., St. 99, Shouyang Rd., Jing’an, Shanghai 200072, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference40 articles.

1. A study of parking characteristics in a central part of Basrah city;Ahmed L. A.;J. Eng. Sustainable Dev.,2009

2. Establishing parking generation rates/models of selected land uses for Palestinian cities;Al-Sahili K.;Transp. Res. Part A Policy Pract.,2016

3. Vehicle sharing systems: A review and a holistic management framework;Ataç S.;EURO J. Transp. Logist.,2021

4. Determining Parking Demand and Locating Parking Areas Using Geographic Analytics Methods

5. Characteristics of Parking in Central Shanghai, China

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