A study of an environmental-friendly parking policy

Chu, Chih‐Peng; Tsai, Mei-Ting

doi:10.1016/j.trd.2010.07.009

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…The sensitive analysis also revealed that people with higher age and family income have a tendency to increase the parking demand at night. If the parking fee policy is implemented in the future on a daily or monthly basis, it will play a significant role in reducing the on-street parking demand at night and parking problems in residential areas (Chu, C.P. and Tsai, M.T.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of On-Street Night Parking Demand: A Case Study of Roorkee City

Bokadia

2023

European Transport/Trasporti Europei

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Nowadays, parking is a challenging issue all around the world, especially in the Central Business District (CBD) during the day and in residential areas during the night. Parking demand in CBD is increasing day by day due to insufficient off-street parking facilities and the tendency to park near the destination. The on-street night parking demand is increasing in residential areas due to the non-availability of sufficient off-street parking facilities on the premises. In this study, one residential area in Roorkee has been selected as the case study area. Socio-economic, demographic and parking characteristics were used as parameters to generate the parking demand model. The selected parameters were collected from the field using the in-out survey and questionnaire survey. Two parking demand models were developed by logistic regression analysis. The first model was developed without the parking fees, while the second model considers parking fees as a parameter. Also, the sensitivity analysis was done on both models to examine the changes in the existing parking demand.

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Section: Discussionmentioning

confidence: 99%

Evaluation of On-Street Night Parking Demand: A Case Study of Roorkee City

Bokadia

2023

European Transport/Trasporti Europei

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“…The absence of parking areas near major public structures prevents people from carrying out their activities, which is detrimental to the local economy. In a city, the presence of a parking lot is also strategic in terms of security: a dark and abandoned place would prove much safer if it were used as a lighted parking area [2]. The parking sector in Europe and North America is going through an innovation process towards intelligent systems.…”

Section: Introductionmentioning

confidence: 99%

Sound Event Detection in Underground Parking Garage Using Convolutional Neural Network

Ciaburro

2020

BDCC

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Parking is a crucial element in urban mobility management. The availability of parking areas makes it easier to use a service, determining its success. Proper parking management allows economic operators located nearby to increase their business revenue. Underground parking areas during off-peak hours are uncrowded places, where user safety is guaranteed by company overseers. Due to the large size, ensuring adequate surveillance would require many operators to increase the costs of parking fees. To reduce costs, video surveillance systems are used, in which an operator monitors many areas. However, some activities are beyond the control of this technology. In this work, a procedure to identify sound events in an underground garage is developed. The aim of the work is to detect sounds identifying dangerous situations and to activate an automatic alert that draws the attention of surveillance in that area. To do this, the sounds of a parking sector were detected with the use of sound sensors. These sounds were analyzed by a sound detector based on convolutional neural networks. The procedure returned high accuracy in identifying a car crash in an underground parking area.

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“…Parking policy is significant in influencing travel behavior, and has been extensively employed by urban and transport planners in an attempt to promote sustainable transport [1]. Many studies have examined the performance of various parking restriction measures [2][3][4][5] and the effects of parking, in addition to other built environment variables, on car ownership [6] and use [7][8][9][10][11][12]. This literature concludes that parking charges and restraints on parking provision are effective in reducing car use and ownership.…”

Section: Introductionmentioning

confidence: 99%

“…The final TAI is calculated by the following two formulas: (1) TAI mode = EDFmax + (0.5 *All other EDFs) and (2) TAIall = TAIbus+TAIrail. A higher TAI indicates better transit service 2. All buildings are allocated to three city centers by location.…”

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confidence: 99%

Workplace Parking Provision and Built Environments: Improving Context-Specific Parking Standards Towards Sustainable Transport

2019

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Both academics and practitioners concur that parking restraints should be actively introduced in urban centers and job-intensive areas, to prevent overdependence on automobiles. Many Chinese metropolises have reduced the level of parking minimums for non-residential premises in central and transit-rich areas. However, there is a lack of research examining the effectiveness of these policies. Taking Shenzhen as a case study, this paper compares the parking supply with the parking minimums at each policy period, and analyzes the spatial characteristics of parking provision for office use. The descriptive analysis found that the effects of minimum parking requirements (MPRs) on parking provision vary by floor area ratio (FAR), operation period, and transit accessibility. By conducting a geographical weighted regression (GWR) model, this paper further examines the spatially varying effects of the built environment on parking provision. The modeling results conclude that the significance and strength of the effects of built environments on parking provision vary across space. (1) The total parking quantity increases with the growth of the FAR, and this increasing effect is larger in suburban areas than in the city proper. (2) Lot size has a positive relationship with parking provision, and the effects are stronger in areas with higher parking demand. (3) Transit accessibility has inconsistent associations with parking provision at different locations, in terms of the direction and strength of the influence. These results provide relevant insights into the development of context-specific parking policies in the high-density contexts of China’s large cities.

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A study of an environmental-friendly parking policy

Cited by 7 publications

References 2 publications

Evaluation of On-Street Night Parking Demand: A Case Study of Roorkee City

Evaluation of On-Street Night Parking Demand: A Case Study of Roorkee City

Sound Event Detection in Underground Parking Garage Using Convolutional Neural Network

Workplace Parking Provision and Built Environments: Improving Context-Specific Parking Standards Towards Sustainable Transport

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