Journal of Advanced Transportation

Parking Behavior and Policy


Status
Published

1University of Cantabria, Cantabria, Spain


Parking Behavior and Policy

Description

Parking policies can play a key role within the broader context of managing transport demand. Private vehicles can spend over 90% of the time parked, having considerable impacts on land use and economic activities in urban areas. Furthermore, the process of users’ parking search may have important impacts on traffic congestion, air pollution, and accidents. However, research in the field of user behavior when choosing for parking has been limited, and management policies have been often based on ad hoc criteria instead of theoretically robust models or available empirical evidence. This special issues aims at publishing quality papers contributing to the understanding of users’ choices, both for passenger and for freight, when parking and to the development of parking policies so as to foster more sustainable mobility in urban areas.

This special issue is focused on the behavior of users when choosing parking type and location with special emphasis on the evaluation of different parking policies. It aims at improving both the theoretical knowledge and the definition and deployment of effective parking policies. Thus, all methodological research and relevant case studies are welcome. The first seven of the following topics are related to the methodology, while the last five are related to the policies.

Potential topics include but are not limited to the following:

  • Methodology
    • Econometric and spatial econometric techniques, applied to the simulation of user behavior
    • Support systems for decision making in the field of parking
    • Sustainability indicators in the field of parking
    • Parking demand forecasting systems
    • Cost-benefit assessment in parking systems
    • Smart technologies applied in the field of parking
    • Surveys and travel diaries analysis with parking information
  • Policies
    • Assessment of externalities caused by parking
    • Assessment and acceptability evaluation of different parking policies
    • Parking demand management policies
    • Land use and parking policies
    • Park pricing and new pricing forms

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 1580287
  • - Research Article

Parking Management Efficiency Analysis through Various Charge Schemes for Day-Long Commuting considering Elastic Travel Demand

Jing Wang | Chaowu Tan | Zhigang Liu
  • Special Issue
  • - Volume 2018
  • - Article ID 1075946
  • - Editorial

Parking Behavior and Policy

Angel Ibeas | Luigi dell’Olio | Jose Luis Moura
  • Special Issue
  • - Volume 2017
  • - Article ID 1812045
  • - Research Article

The Impact of Bottom-Up Parking Information Provision in a Real-Life Context: The Case of Antwerp

Geert Tasseron | Karel Martens
  • Special Issue
  • - Volume 2017
  • - Article ID 1760842
  • - Research Article

Cooperative Multiagent System for Parking Availability Prediction Based on Time Varying Dynamic Markov Chains

Surafel Luleseged Tilahun | Giovanna Di Marzo Serugendo
  • Special Issue
  • - Volume 2017
  • - Article ID 6296720
  • - Research Article

Designing Dynamic Delivery Parking Spots in Urban Areas to Reduce Traffic Disruptions

Mireia Roca-Riu | Jin Cao | ... | Monica Menendez
  • Special Issue
  • - Volume 2017
  • - Article ID 9452506
  • - Research Article

A Dynamic Information-Based Parking Guidance for Megacities considering Both Public and Private Parking

Jong-Ho Shin | Namhun Kim | ... | Duck Young Kim
  • Special Issue
  • - Volume 2017
  • - Article ID 8426946
  • - Research Article

More Effective Use of Urban Space by Autonomous Double Parking

Rafael Estepa | Antonio Estepa | ... | Annika Stensson-Trigell
  • Special Issue
  • - Volume 2017
  • - Article ID 6463586
  • - Research Article

Modelling the Effects of Parking Charge and Supply Policy Using System Dynamics Method

Zhenyu Mei | Qifeng Lou | ... | Fei Shi
Journal of Advanced Transportation
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Acceptance rate36%
Submission to final decision106 days
Acceptance to publication75 days
CiteScore3.000
Impact Factor1.670
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