scholarly journals Observing Trip Chain Characteristics of Round-Trip Carsharing Users in China: A Case Study Based on GPS Data in Hangzhou City

2017 ◽  
Vol 9 (6) ◽  
pp. 949 ◽  
Author(s):  
Ying Hui ◽  
Mengtao Ding ◽  
Kun Zheng ◽  
Dong Lou
Keyword(s):  
Gps Data ◽  
Round Trip ◽  
Trip Chain

Trip chain based usage patterns analysis of the round-trip carsharing system: A case study in Beijing

2020 ◽  
Vol 140 ◽  
pp. 190-203 ◽  
Author(s):  
Xiaoyan Feng ◽  
Huijun Sun ◽  
Jianjun Wu ◽  
Zhiyuan Liu ◽  
Ying Lv
Keyword(s):  
Round Trip ◽  
Trip Chain ◽  
System A ◽  
Usage Patterns

scholarly journals Parking Places to Moped-Style Scooter Sharing Services Using GIS Location-Allocation Models and GPS Data

2021 ◽  
Vol 10 (4) ◽  
pp. 230
Author(s):  
Onel Pérez-Fernández ◽  
Juan Carlos García-Palomares
Keyword(s):  
Global Positioning System ◽  
Catchment Area ◽  
Public Spaces ◽  
Gps Data ◽  
Positioning System ◽  
Urban Centers ◽  
Location Allocation ◽  
Global Positioning ◽  
The City

Moped-style scooters are one of the most popular systems of micro-mobility. They are undoubtedly good for the city, as they promote forms of environmentally-friendly mobility, in which flexibility helps prevent traffic build-up in the urban centers where they operate. However, their increasing numbers are also generating conflicts as a result of the bad behavior of users, their unwarranted use in public spaces, and above all their parking. This paper proposes a methodology for finding parking spaces for shared motorcycle services using Geographic information system (GIS) location-allocation models and Global Positioning System (GPS) data. We used the center of Madrid and data from the company Muving (one of the city’s main operators) for our case study. As well as finding the location of parking spaces for motorbikes, our analysis examines how the varying distribution of demand over the course of the day affects the demand allocated to parking spaces. The results demonstrate how reserving a relatively small number of parking spaces for scooters makes it possible to capture over 70% of journeys in the catchment area. The daily variations in the distribution of demand slightly reduce the efficiency of the network of parking spaces in the morning and increase it at night, when demand is strongly focused on the most central areas.

scholarly journals Fuel economy assessment tool for auxiliary kite propulsion of merchant ship

2018 ◽  
pp. 5-7 ◽  
Author(s):  
Vincent Podeur ◽  
Damien Merdrignac ◽  
Morgan Behrel ◽  
Kostia Roncin ◽  
Caroline Fonti ◽  
...  
Keyword(s):  
Fuel Economy ◽  
Assessment Tool ◽  
Round Trip ◽  
Merchant Ship ◽  
Added Resistance In Waves ◽  
The Mean ◽  
The Impact ◽  
Engine Power

A tool dedicated to assess fuel economy induced by kite propulsion has been developed. To produce reliable results, computations must be performed on a period over several years, for several routes and for several ships. In order to accurately represent the impact of meteorological trends variations on the exploitability of the kite towing concept, a time domain approach of the problem has been used. This tool is based on the weather database provided by the ECMWF. Two sailing strategies can be selected for assessing the performance of the kite system. For a given kite area, the simulation can be run either at constant speed or at constant engine power. A validation has been made, showing that predicted consumption is close from in-situ measurement. It shows an underestimation of 11.9% of the mean fuel consumption mainly due to auxiliary consumption and added resistance in waves that were not taken into account. To conclude, a case study is performed on a 2200 TEU container ship equipped with an 800m² kite on a transatlantic route between Halifax and Le Havre. Round trip simulations, performed over 5 years of navigation, show that the total economy predicted is of around 12% at a speed of 16 knots and around 6.5% at a speed of 19 knots.

A Role for GPS Data in Qualitative Research

2014 ◽  
pp. 309-324
Author(s):  
Christoffel Venter ◽  
Nyasha Minora ◽  
Kory Shukrani ◽  
Jacques du Toit
Keyword(s):  
South Africa ◽  
Qualitative Research ◽  
Fear Of Crime ◽  
Gps Data ◽  
Factors Affecting ◽  
Walking Activity ◽  
Multi Method Approach ◽  
Gps Tracks ◽  
Adaptive Behaviours

This chapter describes the use of GPS in a multi-method approach to explore environmental factors affecting walking patterns in South Africa. Quantitative measures of walking activity are derived from multiday GPS tracks of a sample of people in three case study areas in Pretoria, South Africa. The data suggests that a significant amount of walking takes place across a range of neighbourhood types. The authors then describe a methodology that marries the strengths of GPS data—notably its detail and its suitability for visualisation—with the benefits of more open-ended qualitative research methods to obtain richer insights into the motivations behind the observed behaviours, and the extent to which these are related to built environment factors. A key finding is that personal security and fear of crime is a critically important factor driving both the perceptions and behaviour of pedestrians, especially women. Specific adaptive behaviours are observed that warrant further research.

Home-Work Zone Identification from Taxi GPS Data: A Case Study of Shanghai, China

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Huang Yan ◽  
Yue Li ◽  
Xujian Guo ◽  
Changpeng Guo
Keyword(s):  
Work Zone ◽  
Gps Data ◽  
Home Work

Preliminary Design and Performance Assessment of an Underwater CAES System (UW-CAES) for Wind Power Balancing

2019 ◽  
Author(s):  
Marco Astolfi ◽  
Giulio Guandalini ◽  
Marco Belloli ◽  
Adriano Hirn ◽  
Paolo Silva ◽  
...  
Keyword(s):  
Energy Storage ◽  
Performance Assessment ◽  
Power Input ◽  
Compressed Air ◽  
Preliminary Design ◽  
Round Trip ◽  
Peak Shaving ◽  
Renewable Power ◽  
And Performance

Abstract A key approach to large renewable power management is based on implementing storage technologies, including batteries, power-to-gas and compressed air energy storage (CAES). This work presents the preliminary design and performance assessment of an innovative type of CAES, based on underwater storage volumes (UW-CAES) and intended for installation in the proximity of deep water seas or lakes. The UW-CAES works with constant hydrostatic pressure storage and variable volumes. The proposed system is adiabatic, not using any fuel to increase the air temperature before expansion; a sufficient TIT is instead obtained through a thermal energy storage system which recovers the compression heat. The system includes (i) a set of turbomachines (modular multi-stage compressor, with partial intercooling; expansion turbine); (ii) a thermal energy storage (TES) system with different temperature levels designed to recover a large fraction of the compression heat, allowing the subsequent heating of air prior to the expansion phase; (iii) an underwater modular compressed air storage, conceived as a network of rigid but open tanks lying on the seabed and allowing a variable-volume and constant pressure operation. The compressor operates at variable loads, following an oscillating renewable power input, according to strategies oriented to improve the overall system dispatchability; the expander can be designed to work either at full load, thanks to the stability of the air flow rate and of the TIT guaranteed by the thermal storage, or at variable load. The paper first discusses in detail the sizing and off-design characterization of the overall system; it is then simulated a case study where the UW-CAES is coupled to a wind farm for peak shaving and dispatchability enhancement, evaluating the impact of a realistic power input on performances and plant flexibility. Although the assessment shall be considered preliminary, it is shown that round trip efficiency in the range of 75%–80% can be obtained depending on the compressor section configuration; making the UW-CAES a promising technology compared to electrochemical and pumped-hydro storage systems. The technology is also applied to perform peak-shaving of the electricity production from a wind park; annual simulations considering part load operation result in global round trip efficiency around 75% with a 10 to 15% reduction in the average unplanned energy injection in the electric grid. The investigated case study provides an example of the potential of this system in providing power output peak shaving when coupled with an intermittent and non-predictable energy source.

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