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Jun Chen
School of Transportation, Southeast University, Si Pai Lou 2#, Nanjing 210096, China

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Journal article
Published: 27 July 2021 in Travel Behaviour and Society
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As a kind of intelligent parking mode, shared parking mode has been widely promoted, and parking app, as a product of the development of sharing economy in the field of transportation, is also being vigorously advocated. However, there are not many people who use parking app to find and reserve parking space in practice, which is largely caused by insufficient information provided by the parking apps. In order to better explain, predict and improve drivers’ choice of parking apps, a multinomial logit model was established to analyze the relationship between drivers’ parking app choice behavior and the influential factors. The influential factors include drivers’ individual characteristics and parking app’s attributes, which were extracted from a questionnaire and typical parking apps currently in operation. The results show that the reservation and shared parking spaces, available parking spaces, parking charges and distance to the destination are the main factors that determine the drivers’ choice of parking app. This paper provides a reference for the development of Ningbo parking apps.

ACS Style

Xiaofei Ye; Chang Yang; Tao Wang; Xingchen Yan; Song Li; Jun Chen. Research on parking app choice behavior based on MNL. Travel Behaviour and Society 2021, 25, 174 -182.

AMA Style

Xiaofei Ye, Chang Yang, Tao Wang, Xingchen Yan, Song Li, Jun Chen. Research on parking app choice behavior based on MNL. Travel Behaviour and Society. 2021; 25 ():174-182.

Chicago/Turabian Style

Xiaofei Ye; Chang Yang; Tao Wang; Xingchen Yan; Song Li; Jun Chen. 2021. "Research on parking app choice behavior based on MNL." Travel Behaviour and Society 25, no. : 174-182.

Journal article
Published: 11 June 2021 in International Journal of Environmental Research and Public Health
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For most signalized at-grade intersections, exclusive lanes for non-motorized vehicles have been applied to improve the level of service, capacity and safety of both motorized vehicles and non-motorized vehicles. However, because of various factors, riders of non-motorized vehicles have been observed using lanes for motorized vehicles instead of lanes for non-motorized vehicles, which usually negatively influences the performance of signalized intersections and sometimes may cause serious problems such as traffic congestion and accidents. The objective of this paper is to explore factors influencing the lane choice of riders of non-motorized vehicles at exit legs of signalized at-grade intersections and develop a prediction model for riders’ lane choice. Data concerning the lane choice of riders of non-motorized vehicles and other impacting factors were collected at exit legs of four typical signalized at-grade intersections. Applying binary logistic regression, a probability prediction model was developed to explain how various factors influence the lane choice of riders of non-motorized vehicles. The prediction model indicates that female riders of non-motorized vehicles have a higher probability of choosing the lane for non-motorized vehicles than male riders. Compared with riders of non-motorized vehicles powered by electricity, riders of traditional man-powered bicycles are more likely to choose the lane for non-motorized vehicles. Right-turning riders of non-motorized vehicles are more likely to choose the lane for non-motorized vehicles than straight-going riders, who in turn, are more likely to choose the lane for non-motorized vehicles than left-turning riders. Decreasing the volume of non-motorized vehicles, increasing the volume of motorized vehicles, and widening the lane for non-motorized vehicles will increase the probability of the correct choice of lane for non-motorized vehicles. The predictions of the model are in good agreement with the observed facts. The model is meaningful for guidance on the design and management of signalized at-grade intersections.

ACS Style

Guoqiang Zhang; QiQi Zhou; Jun Chen. Exploring Factors Impacting on the Lane Choice of Riders of Non-Motorized Vehicles at Exit Legs of Signalized At-Grade Intersections. International Journal of Environmental Research and Public Health 2021, 18, 6327 .

AMA Style

Guoqiang Zhang, QiQi Zhou, Jun Chen. Exploring Factors Impacting on the Lane Choice of Riders of Non-Motorized Vehicles at Exit Legs of Signalized At-Grade Intersections. International Journal of Environmental Research and Public Health. 2021; 18 (12):6327.

Chicago/Turabian Style

Guoqiang Zhang; QiQi Zhou; Jun Chen. 2021. "Exploring Factors Impacting on the Lane Choice of Riders of Non-Motorized Vehicles at Exit Legs of Signalized At-Grade Intersections." International Journal of Environmental Research and Public Health 18, no. 12: 6327.

Journal article
Published: 28 April 2021 in Sustainability
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This paper investigates the optimal congestion pricing problem that considers day-to-day evolutionary flow dynamics. Under the circumstance that traffic flows evolve from day to day and the system might be in a non-equilibrium state during a certain period of days after implementing (or adjusting) a congestion toll scheme, it is questionable to use an equilibrium-based index under steady state as the objective to measure the performance of a congestion toll scheme. To this end, this paper proposes a mean–variance-based congestion pricing scheme, which is a robust optimization model, to consider the evolution process of traffic flow dynamics in the optimal toll design problem. More specifically, in the mean–variance-based toll scheme, travelers aim to minimize the variance of expected total travel costs (ETTCs) on different days to reduce risk in daily travels, while the average ETTC over the whole planning period is restricted to being no larger than a predetermined target value set by the authorities. A metaheuristic approach based on the whale optimization algorithm is designed to solve the proposed mean–variance-based day-to-day dynamic congestion pricing problem. Finally, a numerical experiment is conducted to validate the effectiveness of the proposed model and solution algorithm. Results show that the used 9-node network can reach a steady state within 18 days after implementing the mean–variance-based congestion pricing, and the optimal toll scheme can be also obtained with this toll strategy.

ACS Style

Qixiu Cheng; Jun Chen; Honggang Zhang; Zhiyuan Liu. Optimal Congestion Pricing with Day-to-Day Evolutionary Flow Dynamics: A Mean–Variance Optimization Approach. Sustainability 2021, 13, 4931 .

AMA Style

Qixiu Cheng, Jun Chen, Honggang Zhang, Zhiyuan Liu. Optimal Congestion Pricing with Day-to-Day Evolutionary Flow Dynamics: A Mean–Variance Optimization Approach. Sustainability. 2021; 13 (9):4931.

Chicago/Turabian Style

Qixiu Cheng; Jun Chen; Honggang Zhang; Zhiyuan Liu. 2021. "Optimal Congestion Pricing with Day-to-Day Evolutionary Flow Dynamics: A Mean–Variance Optimization Approach." Sustainability 13, no. 9: 4931.

Journal article
Published: 12 March 2021 in World Electric Vehicle Journal
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Cycling is an increasingly popular mode of transport as part of the response to air pollution, urban congestion, and public health issues. The emergence of bike sharing programs and electric bicycles have also brought about notable changes in cycling characteristics, especially cycling speed. In order to provide a better basis for bicycle-related traffic simulations and theoretical derivations, the study aimed to seek the best distribution for bicycle riding speed considering cyclist characteristics, vehicle type, and track attributes. K-means clustering was performed on speed subcategories while selecting the optimal number of clustering using L method. Then, 15 common models were fitted to the grouped speed data and Kolmogorov–Smirnov test, Akaike information criterion, and Bayesian information criterion were applied to determine the best-fit distribution. The following results were acquired: (1) bicycle speed sub-clusters generated by the combinations of bicycle type, bicycle lateral position, gender, age, and lane width were grouped into three clusters; (2) Among the common distribution, generalized extreme value, gamma and lognormal were the top three models to fit the three clusters of speed dataset; and (3) integrating stability and overall performance, the generalized extreme value was the best-fit distribution of bicycle speed.

ACS Style

Xingchen Yan; Xiaofei Ye; Jun Chen; Tao Wang; Zhen Yang; Hua Bai. Bicycle Speed Modelling Considering Cyclist Characteristics, Vehicle Type and Track Attributes. World Electric Vehicle Journal 2021, 12, 43 .

AMA Style

Xingchen Yan, Xiaofei Ye, Jun Chen, Tao Wang, Zhen Yang, Hua Bai. Bicycle Speed Modelling Considering Cyclist Characteristics, Vehicle Type and Track Attributes. World Electric Vehicle Journal. 2021; 12 (1):43.

Chicago/Turabian Style

Xingchen Yan; Xiaofei Ye; Jun Chen; Tao Wang; Zhen Yang; Hua Bai. 2021. "Bicycle Speed Modelling Considering Cyclist Characteristics, Vehicle Type and Track Attributes." World Electric Vehicle Journal 12, no. 1: 43.

Journal article
Published: 16 February 2021 in International Journal of Environmental Research and Public Health
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With the sustained and rapid development of China’s national economy, the number of motor vehicles owned by families in cities is rapidly growing. Consequently, problems of traffic congestion and air pollution have also appeared in these cities. Roadside parking traffic has also become an important part of the transportation system in cities. However, there is no specific measurement model for carbon emissions caused by roadside parking in the proposed traffic carbon emission model. Therefore, we aim to establish a carbon emission measurement model for roadside parking. In this paper, we first study the characteristics of the deceleration and maneuvering of parking vehicles and the blocking impact on running vehicles in a typical roadside parking scenario. We then establish and fit models of the direct and indirect carbon emissions during roadside parking. Based on the carbon emission model, we propose a calculation method for roadside parking carbon emissions, including accounting and estimation methods. These models can be used to calculate the carbon emissions from roadside parking in a traffic carbon emissions system. We also hope that these models will help future research on the optimization of roadside parking facilities for energy saving and emission reduction.

ACS Style

Wei Wang; Hongming Zhong; Yu Zeng; Yachao Liu; Jun Chen. A Carbon Emission Calculation Model for Roadside Parking. International Journal of Environmental Research and Public Health 2021, 18, 1906 .

AMA Style

Wei Wang, Hongming Zhong, Yu Zeng, Yachao Liu, Jun Chen. A Carbon Emission Calculation Model for Roadside Parking. International Journal of Environmental Research and Public Health. 2021; 18 (4):1906.

Chicago/Turabian Style

Wei Wang; Hongming Zhong; Yu Zeng; Yachao Liu; Jun Chen. 2021. "A Carbon Emission Calculation Model for Roadside Parking." International Journal of Environmental Research and Public Health 18, no. 4: 1906.

Journal article
Published: 08 February 2021 in International Journal of Environmental Research and Public Health
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In order to effectively control carbon dioxide emissions of motorized vehicles, it is very important to measure their carbon dioxide emission factors. The objective of this paper was to develop measurement models for the carbon dioxide emission factors of passenger cars. Road systems of downtown areas of four typical Chinese counties were explored and 12 types of basic road networks were recognized and defined. With PTV Vissim, microscopic traffic simulation models were set up for every type of basic road network, average speeds of the simulated cars were collected, and carbon dioxide emissions were calculated using MOVES (Motor Vehicle Emission Simulator) software. For model development, the paper put forth two compound explanatory variables: the weighted average of segment lengths and the sum of critical ratios of volume to saturation flow rate. Six functional relationships for the variables were tested and the double exponential function was proven to be the most appropriate. Finally, for each of the 12 types of basic road networks, a measurement model for carbon dioxide emission factors was calibrated using the double exponential function for the variables. The measurement models can be used to estimate the carbon dioxide emissions of passenger cars concerning potential improvement schemes impacting traffic demand and/or traffic supply.

ACS Style

Guoqiang Zhang; Lianghui Wu; Jun Chen. Measurement Models for Carbon Dioxide Emission Factors of Passenger Cars Considering Characteristics of Roads and Traffic. International Journal of Environmental Research and Public Health 2021, 18, 1594 .

AMA Style

Guoqiang Zhang, Lianghui Wu, Jun Chen. Measurement Models for Carbon Dioxide Emission Factors of Passenger Cars Considering Characteristics of Roads and Traffic. International Journal of Environmental Research and Public Health. 2021; 18 (4):1594.

Chicago/Turabian Style

Guoqiang Zhang; Lianghui Wu; Jun Chen. 2021. "Measurement Models for Carbon Dioxide Emission Factors of Passenger Cars Considering Characteristics of Roads and Traffic." International Journal of Environmental Research and Public Health 18, no. 4: 1594.

Journal article
Published: 30 January 2021 in International Journal of Environmental Research and Public Health
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Given that there are no practical quantitative indicators of traffic conditions for facility location selection in the process of urbanization, this article proposes a comprehensive accessibility index of location and its measurement method. Urban land is rasterized using GIS to obtain the grids, and the road network data are used to calculate the external accessibility and internal accessibility of the grids. The external accessibility and the internal accessibility of a grid are combined to obtain the comprehensive accessibility of the location. The comprehensive accessibilities of grids are measured for Zhicheng, an urban area in China. The results show that the pattern of gradual spatial changes in the comprehensive accessibility of the grids in Zhicheng is highly consistent with the urban land’s spatial development trend, which verifies the feasibility and accuracy of the comprehensive accessibility measurement method. On one hand, the comprehensive accessibility of the grid is more portable than the accessibility of a single point and can be calculated in batches. On the other hand, it is more specific than the regional accessibility and better guides the location selection of urban facilities.

ACS Style

Wei Wang; Jian Chen; Zhiyuan Wang; Jun Chen; Wen Cheng; Zihao Zhou. An Estimation Model of Urban Land Accessibility. International Journal of Environmental Research and Public Health 2021, 18, 1258 .

AMA Style

Wei Wang, Jian Chen, Zhiyuan Wang, Jun Chen, Wen Cheng, Zihao Zhou. An Estimation Model of Urban Land Accessibility. International Journal of Environmental Research and Public Health. 2021; 18 (3):1258.

Chicago/Turabian Style

Wei Wang; Jian Chen; Zhiyuan Wang; Jun Chen; Wen Cheng; Zihao Zhou. 2021. "An Estimation Model of Urban Land Accessibility." International Journal of Environmental Research and Public Health 18, no. 3: 1258.

Journal article
Published: 10 January 2021 in International Journal of Environmental Research and Public Health
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Urbanization has been a flourishing process in a wide range of developing countries. The planning and construction of public service facilities is a crucial component of this process. Existing planning methods of public service facilities focused on macroscopic indicators like population and GDP. In this way, accessibility and transportation conditions were neglected. Four typical counties in China were selected as samples where travel surveys and questionnaire surveys on public service facilities were conducted. Taking education and medical care as representative public service facilities, this study used geographic information processing to connect the locations of public service facilities at all levels with the urban land accessibility. Then, analysis of variance was used to obtain correlations between the level of public service facilities and the urban land accessibility. The results showed that the urban land accessibility of locations of public service facilities follows a normal distribution. Categories of facilities showed significant difference on urban land accessibility. Therefore, intervals of urban land accessibility of locations of public service facilities within one standard deviation from the mean were constructed by category. These intervals built a connection between transportation conditions with locations of public service facilities. Corresponding relation of carbon emission of facility-related trips and urban land accessibility was established as an example of an application. Carbon emissions caused by facility-related trips can be reduced by locating facilities at locations with appropriate urban land accessibility.

ACS Style

Wei Wang; Zihao Zhou; Jun Chen; Wen Cheng; Jian Chen. Analysis of Location Selection of Public Service Facilities Based on Urban Land Accessibility. International Journal of Environmental Research and Public Health 2021, 18, 516 .

AMA Style

Wei Wang, Zihao Zhou, Jun Chen, Wen Cheng, Jian Chen. Analysis of Location Selection of Public Service Facilities Based on Urban Land Accessibility. International Journal of Environmental Research and Public Health. 2021; 18 (2):516.

Chicago/Turabian Style

Wei Wang; Zihao Zhou; Jun Chen; Wen Cheng; Jian Chen. 2021. "Analysis of Location Selection of Public Service Facilities Based on Urban Land Accessibility." International Journal of Environmental Research and Public Health 18, no. 2: 516.

Journal article
Published: 28 October 2020 in IEEE Access
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With the rapid development and convenient service of online car-hailing, it has gradually become the preferred choice for people to travel. Accurate forecasting of car-hailing trip demand not only enables the drivers and companies to dispatch the vehicles and increase the mileage utilization, but also reduces the passengers’ waiting-time. The rebalance of spatiotemporal demand and supply could mitigate traffic congestion, reduce traffic emission, and guide people’s travel patterns. This study aimed to develop a short-term demand forecasting model for car-hailing services using stacking ensemble learning approach. The spatial-temporal characteristics of online car-hailing demand were analyzed and extracted through data analysis. The region-level spatial characteristics, time features, and weather conditions were added into the forecasting model. Then the stacking ensemble learning model was developed to predict the car-hailing demand at region-level for different time intervals, including 10 min, 15 min, and 30 min. The validation results suggested that the proposed stacking ensemble learning model has reasonable good prediction accuracy for different time intervals. The comparison results show that the short-term demand forecasting model based on stacking ensemble learning is better than single LSTM, SVR, lightGBM and Random Forest models. MAE and RMSE increased by 6.0% and 5.2% respectively at 30 min time interval, which further verifies the effectiveness and feasibility of the proposed model.

ACS Style

Yuming Jin; Xiaofei Ye; Qiming Ye; Tao Wang; Jun Cheng; Xingchen Yan. Demand Forecasting of Online Car-Hailing With Stacking Ensemble Learning Approach and Large-Scale Datasets. IEEE Access 2020, 8, 199513 -199522.

AMA Style

Yuming Jin, Xiaofei Ye, Qiming Ye, Tao Wang, Jun Cheng, Xingchen Yan. Demand Forecasting of Online Car-Hailing With Stacking Ensemble Learning Approach and Large-Scale Datasets. IEEE Access. 2020; 8 ():199513-199522.

Chicago/Turabian Style

Yuming Jin; Xiaofei Ye; Qiming Ye; Tao Wang; Jun Cheng; Xingchen Yan. 2020. "Demand Forecasting of Online Car-Hailing With Stacking Ensemble Learning Approach and Large-Scale Datasets." IEEE Access 8, no. : 199513-199522.

Journal article
Published: 24 October 2020 in Sustainability
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In order to reduce the pressure on urban road traffic, multi-modal travel is gradually replacing single-modal travel. Park and ride (P + R) and kiss and ride (K + R) are effective methods to integrate car transportation and rail transit. However, there is often an imbalance between supply and demand in existing car occupant transfer facilities, which include both P + R and K + R facilities. Therefore, we aim to conduct a research on P + R and K + R facilities’ collaborative decision. It first classifies car occupant transfer facilities into types and levels and sets the service capacity of each category. On the premise of ensuring the occupancy of parking spaces, our model aims to maximize the intercepted vehicle mileage and transfer utility and establishes an optimal decision model for car occupant transfer facilities. The model collaboratively decides the facilities in terms of location selection, layout arrangement, and overflow demand conversion to balance the supply and demand. We choose Chengdu as an example, apply the multi-objective optimization model of car occupant transfer facilities, give improved schemes, and further explore the influence of the quantity of facilities on the optimization objectives. The results show that the scheme obtained by the proposed model is significantly better than the existing scheme.

ACS Style

Wei Wang; Zhentian Sun; Zhiyuan Wang; Yue Liu; Jun Chen. Multi-Objective Optimization Model for P + R and K + R Facilities’ Collaborative Layout Decision. Sustainability 2020, 12, 8833 .

AMA Style

Wei Wang, Zhentian Sun, Zhiyuan Wang, Yue Liu, Jun Chen. Multi-Objective Optimization Model for P + R and K + R Facilities’ Collaborative Layout Decision. Sustainability. 2020; 12 (21):8833.

Chicago/Turabian Style

Wei Wang; Zhentian Sun; Zhiyuan Wang; Yue Liu; Jun Chen. 2020. "Multi-Objective Optimization Model for P + R and K + R Facilities’ Collaborative Layout Decision." Sustainability 12, no. 21: 8833.

Journal article
Published: 25 September 2020 in Information
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To provide a knowledge basis for updating the design speed in bicycle facility codes, this paper examines factors that influence bicycle free-flow speed. We investigated six segments of Nanjing’s separated bicycle lane and established a generalized linear model of the relationship between bicycle free-flow speed and bicyclists’ gender, age, bicycle type, lane width, bicycle lateral position, and travel period. With the model, we determined the statistical significance of each factor and assessed each factor’s impact extent. Through comparing the 85th percentile speeds of different groups, we proposed the recommended values and a method for calculating the design speed of separate bicycle lanes. The following results and conclusions were obtained: (1) The significant influential factors of bicycle free-flow speed were bicyclists’ gender and age, bicycle type, lane width, and bicycles’ lateral position. (2) Bicycle type had the greatest impact on bicycle free-flow speed, following by bicycle lateral position, gender, age, and lane width in sequence. (3) The recommended design speeds for separate lanes of less than 3.5 m and the wider lanes were 25 km/h and 30 km/h, respectively.

ACS Style

Xingchen Yan; Jun Chen; Hua Bai; Tao Wang; Zhen Yang. Influence Factor Analysis of Bicycle Free-Flow Speed for Determining the Design Speeds of Separated Bicycle Lanes. Information 2020, 11, 459 .

AMA Style

Xingchen Yan, Jun Chen, Hua Bai, Tao Wang, Zhen Yang. Influence Factor Analysis of Bicycle Free-Flow Speed for Determining the Design Speeds of Separated Bicycle Lanes. Information. 2020; 11 (10):459.

Chicago/Turabian Style

Xingchen Yan; Jun Chen; Hua Bai; Tao Wang; Zhen Yang. 2020. "Influence Factor Analysis of Bicycle Free-Flow Speed for Determining the Design Speeds of Separated Bicycle Lanes." Information 11, no. 10: 459.

Journal article
Published: 21 September 2020 in IEEE Access
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Reliable short-term prediction of available parking space (APS) is the basic theory of parking guidance information system (PGIS). Based on the Intelligent parking system at the Eastern New Town, Yinzhou District, Ningbo, China, this study collected the data of parking availability in the on-street parking areas. The variation characteristics of APS were investigated and analyzed at different spatial-temporal levels. Then the APS prediction models based on Gradient Boosting Decision Tree (GBDT) and Wavelet Neural Network (WNN) were proposed. Furthermore, an improved WNN algorithm with (WA) decomposition and Particle Swarm Optimization (PSO) were presented. The original time series was decomposed and reconstructed by wavelet analysis, and the WNN algorithm found the optimal threshold of initial weight through PSO. The result of GBDT (weekday: MSE=27.37, SMSE=0, TIME=35min, weekend: MSE=9.9, SMSE=0,TIME=35min ) and WA-PSO-WNN (weekday: MSE=14.93,SMSE=1.88, TIME=160.32s, weekend: MSE=12.33, SMSE=10.23, TIME=160.95s) approximated the true value. But the prediction time of GBDT was too long to be applicable to the short-term prediction of APS in this paper. Compared with the methods of GBDT, WNN, and PSO-WNN, the WA-PSO-WNN algorithm performs much better. The average differences in MSE between WA-PSO-WNN and GBDT for weekday and weekend data are 45.45% and 58.76%, respectively, indicating that WA-PSO-WNN can increase the prediction accuracy of weekday and weekend data by an average of 45.45% and 58.76% compared with the GBDT model. Finally, the application prospects of short-term APS forecasting were also discussed in reducing cruising parking behavior, reducing illegal parking behavior and adjusting dynamic parking rates to verify the importance of APS short-term forecasting.

ACS Style

Xiaofei Ye; Jinfen Wang; Tao Wang; Xingchen Yan; Qiming Ye; Jun Chen. Short-Term Prediction of Available Parking Space Based on Machine Learning Approaches. IEEE Access 2020, 8, 174530 -174541.

AMA Style

Xiaofei Ye, Jinfen Wang, Tao Wang, Xingchen Yan, Qiming Ye, Jun Chen. Short-Term Prediction of Available Parking Space Based on Machine Learning Approaches. IEEE Access. 2020; 8 (99):174530-174541.

Chicago/Turabian Style

Xiaofei Ye; Jinfen Wang; Tao Wang; Xingchen Yan; Qiming Ye; Jun Chen. 2020. "Short-Term Prediction of Available Parking Space Based on Machine Learning Approaches." IEEE Access 8, no. 99: 174530-174541.

Journal article
Published: 14 September 2020 in Sustainability
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As a product of urban motorized traffic, sharing roads between pedestrians and non-motor vehicles has been widely used in the world. In order to improve the service quality of slow traffic, it is necessary to evaluate the service level of the shared-use path to determine whether the road is suitable for setting up shared forms. Therefore, the purpose of this study is to provide an analytical framework to quantify and accurately express the service level of shared-use paths. Considering the direct impact of traffic conflicts on service quality, fuzzy clustering analysis is used to analyze traffic conflicts. Then, the corresponding relationship between traffic conflict events and service levels is established, and the classification criteria of the service levels at all levels and the corresponding range of conflict events are determined. By judging the interval in which the number of conflict events belongs, we can determine the service level of the shared-use path, and then determine whether the slow-moving road is suitable for sharing between pedestrians and non-motor vehicles. The research results can provide a reference for traffic management departments to determine the service level and applicability of shared roads.

ACS Style

Wei Wang; Zhentian Sun; Liya Wang; Shanshan Yu; Jun Chen. Evaluation Model for the Level of Service of Shared-Use Paths Based on Traffic Conflicts. Sustainability 2020, 12, 7578 .

AMA Style

Wei Wang, Zhentian Sun, Liya Wang, Shanshan Yu, Jun Chen. Evaluation Model for the Level of Service of Shared-Use Paths Based on Traffic Conflicts. Sustainability. 2020; 12 (18):7578.

Chicago/Turabian Style

Wei Wang; Zhentian Sun; Liya Wang; Shanshan Yu; Jun Chen. 2020. "Evaluation Model for the Level of Service of Shared-Use Paths Based on Traffic Conflicts." Sustainability 12, no. 18: 7578.

Journal article
Published: 26 August 2020 in Information
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Shared parking schemes are not commonly implemented in residential areas due to the uncertainty and conflicts associated with the benefits of such schemes for stakeholders, namely, parking suppliers, parking managers, and the public. To evaluate the economic and social impacts of shared parking in residential areas on its stakeholders, the risk and benefit factors were determined through influential analysis and a questionnaire. A risk–benefit model was established to quantify the risks and benefits for stakeholders. The social return on investment and sensitivity analysis were applied to estimate the economic feasibility of shared parking in residential areas. The methodology combined the use of qualitative, quantitative, and financial information gathered and analyzed to estimate the “value” of shared parking, including its risks, benefits, management pressure, and social benefit. The model was calibrated using the survey data collected from the city of Ningbo in China. The results showed that: (1) The net present value was negative, indicating that the benefits of shared parking were lower than the risks, and thus this scheme would not be economically feasible in residential areas. (2) The cost of purchasing new equipment and rebuilding parking lots had the greatest impact on the benefits of shared parking in residential areas, with a sensitivity coefficient of 4.396, followed by the income from shared parking charges (3.885), and the salary of parking managers (3.619). (3) If the income from parking charges and the salary of parking managers were more than 69,408.5 and 31,091.1 yuan per month, respectively, and the cost of improving parking infrastructure was less than 14,003.2 yuan per month, residential areas could obtain additional benefits due to the acceptance of a shared parking scheme. This study provides theoretical support for the reasonable determination of the costs, risks, and benefits associated with participating in a shared parking scheme in a residential area.

ACS Style

Xiaofei Ye; Xinliu Sui; Jin Xie; Tao Wang; Xingchen Yan; Jun Chen. Assessment of the Economic and Social Impact of Shared Parking in Residential Areas. Information 2020, 11, 411 .

AMA Style

Xiaofei Ye, Xinliu Sui, Jin Xie, Tao Wang, Xingchen Yan, Jun Chen. Assessment of the Economic and Social Impact of Shared Parking in Residential Areas. Information. 2020; 11 (9):411.

Chicago/Turabian Style

Xiaofei Ye; Xinliu Sui; Jin Xie; Tao Wang; Xingchen Yan; Jun Chen. 2020. "Assessment of the Economic and Social Impact of Shared Parking in Residential Areas." Information 11, no. 9: 411.

Research article
Published: 20 August 2020 in Mathematical Problems in Engineering
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In order to improve the adaptation of driver to the advanced driver assistance system (ADAS) and optimize the active safety control technology of vehicle under man-computer cooperative driving, this paper investigated the correlation between driver’s improper driving behaviors and abnormal vehicle states under the ADAS. Based on the warning data collected from the driver’s assistance warning system equipped on buses, the interaction between improper behaviors, between abnormal vehicle states, and between improper behaviors and abnormal vehicle states were quantitatively analyzed through the hierarchical clustering method and improved Apriori algorithm. The results showed that eye closure and yawn were high in concurrency (probability: 0.888) and interaction (average probability: 0.946); the interaction among lane departure, rapid acceleration, and rapid deceleration are frequent (average probability: 0.7224); eye closure (average probability: 0.452) and yawn (average probability: 0.444) are likely to induce abnormal vehicle states such as rapid acceleration and rapid deceleration. Some suggestions proposed based on the results are as follows. First, it is suggested that the ADAS should combine the warning modes of eye closure and yawn; second, when the driver closes eyes or yawns, the control of the ADAS over the lateral and longitudinal performance of vehicle should be enhanced; third, the extent of control by the ADAS should be determined according to the relationship probability; finally, the lateral control over the vehicle by the ADAS should be strengthened when there is a forward collision warning.

ACS Style

Tao Wang; Yuzhi Chen; Xingchen Yan; Jun Chen; Wenyong Li. The Relationship between Bus Drivers’ Improper Driving Behaviors and Abnormal Vehicle States Based on Advanced Driver Assistance Systems in Naturalistic Driving. Mathematical Problems in Engineering 2020, 2020, 1 -12.

AMA Style

Tao Wang, Yuzhi Chen, Xingchen Yan, Jun Chen, Wenyong Li. The Relationship between Bus Drivers’ Improper Driving Behaviors and Abnormal Vehicle States Based on Advanced Driver Assistance Systems in Naturalistic Driving. Mathematical Problems in Engineering. 2020; 2020 ():1-12.

Chicago/Turabian Style

Tao Wang; Yuzhi Chen; Xingchen Yan; Jun Chen; Wenyong Li. 2020. "The Relationship between Bus Drivers’ Improper Driving Behaviors and Abnormal Vehicle States Based on Advanced Driver Assistance Systems in Naturalistic Driving." Mathematical Problems in Engineering 2020, no. : 1-12.

Journal article
Published: 17 August 2020 in International Journal of Environmental Research and Public Health
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With the strengthening of environmental awareness, the government pays much more attention to environmental protection and thus implements carbon trading schemes to promote the reduction of global carbon dioxide emissions. The carbon Generalized System of Preferences (GSP) is an incentive mechanism for citizens to value their energy conservation and carbon reduction. Individual travel needs to rely on various means of transportation, resulting in energy consumption. Carbon tax or subsidy can only be carried out after carbon GSP accurately measures individual carbon emissions. The big data acquired from the smart cards of passengers’ travels provide the possibility for carbon emission accounting of individual travel. This research proposes a carbon emission measurement of individual travel. Through establishing the network model of the Nanjing metro with a complex method, the shortest path of the passengers’ travels is obtained. Combined with the origination–destination (OD) records of the smart cards, the total distance of the passengers’ travels is obtained. By selecting the operation table to estimate the carbon emissions generated by the daily operation of the subway system, the carbon emissions per kilometer or per time of passenger travel are finally obtained. With the accurate tracking of carbon emissions for individual travel, the government may establish a comprehensive monitoring system so as to establish a carbon tax and carbon supplement mechanism for citizens.

ACS Style

Wei Yu; Tao Wang; Yujie Xiao; Jun Chen; Xingchen Yan. A Carbon Emission Measurement Method for Individual Travel Based on Transportation Big Data: The Case of Nanjing Metro. International Journal of Environmental Research and Public Health 2020, 17, 5957 .

AMA Style

Wei Yu, Tao Wang, Yujie Xiao, Jun Chen, Xingchen Yan. A Carbon Emission Measurement Method for Individual Travel Based on Transportation Big Data: The Case of Nanjing Metro. International Journal of Environmental Research and Public Health. 2020; 17 (16):5957.

Chicago/Turabian Style

Wei Yu; Tao Wang; Yujie Xiao; Jun Chen; Xingchen Yan. 2020. "A Carbon Emission Measurement Method for Individual Travel Based on Transportation Big Data: The Case of Nanjing Metro." International Journal of Environmental Research and Public Health 17, no. 16: 5957.

Journal article
Published: 22 July 2020 in Information
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This study aimed to explore the effects of type and specifications of bus stop on bicycle speed and cycle track capacity. This paper investigates the traffic flow operations of tracks at basic sections, curbside stops, and bus bays by video recording. T-test and comparative study were used to analyze the influences of stop types on bicycle speed and capacity of track. The relationships between stop specifications and speed and capacity of track are analyzed with correlation analysis. The main results are as follows: (1) Without passengers crossing, bus bays have significant impact on bicycle speed, while it is not for curbside stops; (2) except platform length, there are strong negative relationships between bicycle speed and density of platform access, total width of platform accesses (TWPA), total width of platform accesses-to-platform length ratio (TWPA-to-PL ratio), total width of platform accesses-to-track width ratio (TWPA-to-TW ratio); (3) curbside stop and bus bay reduce track capacities by 32% and 13.5% on average, respectively; and (4) in contrast to bus bays, curbside stops have more significant impact on capacity of track, which also presents in the influence of the setting parameters of stops. Based the results above, some suggestions on stop specifications are finally proposed.

ACS Style

Xingchen Yan; Jun Chen; Xiaofei Ye; Tao Wang; Zhen Yang; Hua Bai. Studying the Influences of Bus Stop Type and Specifications on Bicycle Flow and Capacity for Better Bicycle Efficiency. Information 2020, 11, 370 .

AMA Style

Xingchen Yan, Jun Chen, Xiaofei Ye, Tao Wang, Zhen Yang, Hua Bai. Studying the Influences of Bus Stop Type and Specifications on Bicycle Flow and Capacity for Better Bicycle Efficiency. Information. 2020; 11 (8):370.

Chicago/Turabian Style

Xingchen Yan; Jun Chen; Xiaofei Ye; Tao Wang; Zhen Yang; Hua Bai. 2020. "Studying the Influences of Bus Stop Type and Specifications on Bicycle Flow and Capacity for Better Bicycle Efficiency." Information 11, no. 8: 370.

Journal article
Published: 02 July 2020 in International Journal of Environmental Research and Public Health
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To identify and quantify the factors that influence the risky riding behaviors of electric bike riders, we designed an e-bike rider behavior questionnaire (ERBQ) and obtained 573 valid samples through tracking surveys and random surveys. An exploratory factor analysis was then conducted to extract four scales: riding confidence, safety attitude, risk perception, and risky riding behavior. Based on the exploratory factor analysis, a structural equation model (SEM) of electric bike riding behaviors was constructed to explore the intrinsic causal relationships among the variables that affect the risky e-bike riding behavior. The results show that the relationship between riding confidence and risky riding behavior is mediated by risk perception and safety attitudes. Safety attitude was found to be significantly associated with risky riding behaviors. Specifically, herd mentality is most closely related to safety attitudes, which means that those engaged in e-bike traffic management and safety education should pay special attention to riders’ psychological management and education. Risk perception has a direct path to risky riding behaviors. Specifically, stochastic evaluation and concern degree are significantly related to e-bike riders’ risk perception. The findings of this study provide an empirical basis for the creation of safety interventions for e-bike riders in China.

ACS Style

Tao Wang; Sihong Xie; Xiaofei Ye; Xingchen Yan; Jun Chen; Wenyong Li. Analyzing E-Bikers’ Risky Riding Behaviors, Safety Attitudes, Risk Perception, and Riding Confidence with the Structural Equation Model. International Journal of Environmental Research and Public Health 2020, 17, 4763 .

AMA Style

Tao Wang, Sihong Xie, Xiaofei Ye, Xingchen Yan, Jun Chen, Wenyong Li. Analyzing E-Bikers’ Risky Riding Behaviors, Safety Attitudes, Risk Perception, and Riding Confidence with the Structural Equation Model. International Journal of Environmental Research and Public Health. 2020; 17 (13):4763.

Chicago/Turabian Style

Tao Wang; Sihong Xie; Xiaofei Ye; Xingchen Yan; Jun Chen; Wenyong Li. 2020. "Analyzing E-Bikers’ Risky Riding Behaviors, Safety Attitudes, Risk Perception, and Riding Confidence with the Structural Equation Model." International Journal of Environmental Research and Public Health 17, no. 13: 4763.

Research article
Published: 22 April 2020 in Journal of Advanced Transportation
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With the concept of sharing economic entering into our lives, many parking Apps are designed for connecting the drivers and vacated parking spaces. However, there are not many drivers who use the mobile Apps to reserve and find available parking spaces, which is largely due to the insufficient information provided by the parking App. In order to better explain, predict, and improve drivers’ acceptance of parking App, the conceptual framework based on technology acceptance model was developed to establish the relationships between the drivers’ intention to accept parking App, trust in parking App, perceived usefulness of parking App, and perceived ease of its use. Then structural equation model was established to analyze the relationship between various variables. The results show that the trust in parking App, perceived usefulness, perceived ease of use, and parking App attributes are the main factors that determine the intention to use parking App. Through the test of direct effect, indirect effect, and total effect in the model, it is found that perceived usefulness has the largest total impact on acceptance intention, with a standardized coefficient of 0.984, followed by parking App attribute (0.743), perceived ease of use (0.384), and trust in parking App (0.381).

ACS Style

Chang Yang; Xiaofei Ye; Jin Xie; Xingchen Yan; Lili Lu; Zhen Yang; Tao Wang; Jun Chen. Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model. Journal of Advanced Transportation 2020, 2020, 1 -11.

AMA Style

Chang Yang, Xiaofei Ye, Jin Xie, Xingchen Yan, Lili Lu, Zhen Yang, Tao Wang, Jun Chen. Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model. Journal of Advanced Transportation. 2020; 2020 ():1-11.

Chicago/Turabian Style

Chang Yang; Xiaofei Ye; Jin Xie; Xingchen Yan; Lili Lu; Zhen Yang; Tao Wang; Jun Chen. 2020. "Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model." Journal of Advanced Transportation 2020, no. : 1-11.

Journal article
Published: 12 April 2020 in Sustainability
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Cruising for parking creates a moving queue of cars that are waiting for vacated parking spaces, but no one can see how many cruisers are in the queue because they are mixed in with normal cars that are actually going somewhere. In order to mitigate the influence of cruising for parking on the normal cars, the park-and-visit cruising tests with GPS and cameras was applied to collect the behavior of the cruisers, and the videotapes of traffic flows were used to measure the volume of cruising cars and the traffic status of normal cars, simultaneously. On this basis, a parking time model based on proportional hazard-based duration model was proposed, and the factors affecting cruise for parking were analyzed, including the volume, search time, speed, acceleration, lane-change frequency, and distracted time of the cruising car. The multiple linear regression model was also established to compare with proportional hazard-based duration model results. The results indicated that between 9 and 56 percent of the traffic was cruising for parking, and the average search time was about 6.03 min. The low-speed, volume, high acceleration frequency, and lane-change times of cruising cars have a negative effect on shortening travel time of the normal traffic flow. Conversely, high-speed of cruising cars has a positive effect on shortening travel time of traffic flow. Moreover, travel time changes in varying degrees due to various factors. Under postulated conditions, the model can be used to estimate the travel time. It is hoped that this study will contribute to improve the planning and management of cruising for parking.

ACS Style

Yating Zhu; Xiaofei Ye; Jun Chen; Xingchen Yan; Tao Wang. Impact of Cruising for Parking on Travel Time of Traffic Flow. Sustainability 2020, 12, 3079 .

AMA Style

Yating Zhu, Xiaofei Ye, Jun Chen, Xingchen Yan, Tao Wang. Impact of Cruising for Parking on Travel Time of Traffic Flow. Sustainability. 2020; 12 (8):3079.

Chicago/Turabian Style

Yating Zhu; Xiaofei Ye; Jun Chen; Xingchen Yan; Tao Wang. 2020. "Impact of Cruising for Parking on Travel Time of Traffic Flow." Sustainability 12, no. 8: 3079.