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Meng Meng
School of Management, University of Bath, Bath BA2 7AY, UK

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Journal article
Published: 10 August 2021 in Sustainability
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This study proposes a geographic information system (GIS)-based cellular automata (CA) model, which is designed for planning bikeways upon existing footpath networks within an urban area. The CA model was developed based on a GIS platform as a visual interface whereby spatiotemporal characteristics and spatial processing can be combined in a highly effective way. The host value of each CA cell is conditioned upon four indicator variables, namely cycling demand level, land-use nature, social value, and traffic safety. This model gives traffic planners a quick and intuitive framework to develop cycling facilities under limited land resources. A model prototype has been developed in a common desktop GIS and applied to a mid-sized rapidly developing area in Singapore.

ACS Style

Xu Zhao; Jie Zhang; Ning Zhang; Yiik Wong; Yufang Zhou; Meng Meng. A GIS-CA Model for Planning Bikeways upon the Footpath Network. Sustainability 2021, 13, 8926 .

AMA Style

Xu Zhao, Jie Zhang, Ning Zhang, Yiik Wong, Yufang Zhou, Meng Meng. A GIS-CA Model for Planning Bikeways upon the Footpath Network. Sustainability. 2021; 13 (16):8926.

Chicago/Turabian Style

Xu Zhao; Jie Zhang; Ning Zhang; Yiik Wong; Yufang Zhou; Meng Meng. 2021. "A GIS-CA Model for Planning Bikeways upon the Footpath Network." Sustainability 13, no. 16: 8926.

Research article
Published: 24 March 2021 in International Journal of Sustainable Transportation
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This study develops a methodology to determine the optimal allocation position to deploy the bikes in a competitive dockless bike sharing market. The community structure approach in complex network theory is utilized to offer the bike allocation strategies to the market leader in two specific market regimes, with a potential competitor, and without a potential competitor. Two different heuristics are proposed to handle the two scenarios respectively due to different design objectives, wherein the first one aims to attract maximum users and the other one aims to use minimum resources to cover maximum service area. Two hypothetic networks are adopted to illustrate the difference in design under these two regimes. Two numerical studies – a simplified Sioux Falls network and a real network in Singapore – are used to demonstrate the algorithm performance and show the applicability of the model for the scenario that no potential competitor exists.

ACS Style

J. Zhang; M. Meng; David Z. W. Wang; B. Du. Allocation strategies in a dockless bike sharing system: a community structure-based approach. International Journal of Sustainable Transportation 2021, 1 -10.

AMA Style

J. Zhang, M. Meng, David Z. W. Wang, B. Du. Allocation strategies in a dockless bike sharing system: a community structure-based approach. International Journal of Sustainable Transportation. 2021; ():1-10.

Chicago/Turabian Style

J. Zhang; M. Meng; David Z. W. Wang; B. Du. 2021. "Allocation strategies in a dockless bike sharing system: a community structure-based approach." International Journal of Sustainable Transportation , no. : 1-10.

Journal article
Published: 13 March 2021 in Case Studies on Transport Policy
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Many factors have been advanced to predicate the sustainability of bike sharing system (BSS) and bike sharing usage, such as fleet size, number of docking stations, payment type and financial support, but there have been few studies that examine survival duration of BSS’ operation. Therefore, this study investigates the determinants of BSS’ duration, using bike sharing monitoring map and respective annual report data from 106 cities around the world. Three categories of independent variables, namely infrastructural factors, social factors and economic factors are included in the generalised linear model (GLM). The findings indicate that coverage area, system capacity and payment type will affect the sustainability of bike sharing operation. Moreover, financial support and purchasing power parity (PPP) per capital are the distinctive factors that seem to influence the likelihood of success of a BSS. Payment method affects the survivability of a BSS after the system is stable.

ACS Style

Jie Zhang; Meng Meng; Puay Ping Koh; Yiik Diew Wong. Life duration of bike sharing systems. Case Studies on Transport Policy 2021, 9, 674 -680.

AMA Style

Jie Zhang, Meng Meng, Puay Ping Koh, Yiik Diew Wong. Life duration of bike sharing systems. Case Studies on Transport Policy. 2021; 9 (2):674-680.

Chicago/Turabian Style

Jie Zhang; Meng Meng; Puay Ping Koh; Yiik Diew Wong. 2021. "Life duration of bike sharing systems." Case Studies on Transport Policy 9, no. 2: 674-680.

Journal article
Published: 29 August 2020 in International Journal of Production Economics
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The new generation of bicycle-sharing is an O2O (online-to-offline) platform service that enables the users to access the bicycle with a smartphone App. This paper proposes a dynamic repositioning model with predicted demand, where the repositioning time interval is fixed. A data-driven Neural Network (NN) approach is introduced to forecast the bicycle-sharing demand. The repositioning objective function at each time interval is defined to simultaneously minimize the operator cost and penalty cost. In addition to the normal constraints in static repositioning problem, flow conservation, inventory-balance and travel time constraints are taken into account. Due to the non-deterministic polynomial-time hard (NP-hard) nature of this model, a hybrid metaheuristic approach of Adaptive Genetic Algorithm (AGA) and Granular Tabu Search (GTS) algorithm is applied to calculate the solution. Based on predicted demand, the initial repositioning plan is made by AGA statically at the beginning of study horizon, which ensures the global optimization of the first solution. As time goes on, repositioning plan is checked and updated according to the real-usage patterns using GTS algorithm, which has the advantage of high-performance local-search within a short computing time. Numerical analysis is conducted using the real cases. The simulation results reveal that the proposed methodology can effectively model the dynamic repositioning problem in response to real-time bicycle-sharing usage. The proposed methodology can be a value-added tool in enhancing the feasibility and sustainability of bicycle-sharing program.

ACS Style

Jie Zhang; Meng Meng; Yiik Diew Wong; Petros Ieromonachou; David Z.W. Wang. A data-driven dynamic repositioning model in bicycle-sharing systems. International Journal of Production Economics 2020, 231, 107909 .

AMA Style

Jie Zhang, Meng Meng, Yiik Diew Wong, Petros Ieromonachou, David Z.W. Wang. A data-driven dynamic repositioning model in bicycle-sharing systems. International Journal of Production Economics. 2020; 231 ():107909.

Chicago/Turabian Style

Jie Zhang; Meng Meng; Yiik Diew Wong; Petros Ieromonachou; David Z.W. Wang. 2020. "A data-driven dynamic repositioning model in bicycle-sharing systems." International Journal of Production Economics 231, no. : 107909.

Journal article
Published: 27 November 2019 in Transportation Research Part E: Logistics and Transportation Review
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The paper proposes a two-stage approach that combines data mining and complex network theory to optimize the locations and service areas of dry ports in a large-scale inland transportation system. In the first stage, candidate locations of dry ports are weighted based on their eigenvector centrality in the complex network of association rules mined from a large amount of international transaction data. In the second phrase, dry port locations and their service areas are optimized using the gravity-based community structure. The method is validated in a real case study which optimizes a large-scale dry port network in Mainland China in the context of the Belt and Road Initiatives (BRI). As a result, optimal dry port locations include key transportation hubs that closely reflect the real BRI development plan, hence, the proposed approach is validated.

ACS Style

Truong Van Nguyen; Jie Zhang; Li Zhou; Meng Meng; Yong He. A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory. Transportation Research Part E: Logistics and Transportation Review 2019, 134, 101816 .

AMA Style

Truong Van Nguyen, Jie Zhang, Li Zhou, Meng Meng, Yong He. A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory. Transportation Research Part E: Logistics and Transportation Review. 2019; 134 ():101816.

Chicago/Turabian Style

Truong Van Nguyen; Jie Zhang; Li Zhou; Meng Meng; Yong He. 2019. "A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory." Transportation Research Part E: Logistics and Transportation Review 134, no. : 101816.

Journal article
Published: 27 November 2019 in Journal of Cleaner Production
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Cost-related factors (e.g., subsides) play a vital role in the diffusion of Electric Vehicle (EV). However, it remains unclear how these factors would influence the diffusion and further the associated urban elements (e.g., infrastructures) at the micro scale. In response, this paper tried to quantify the influence of two types of cost-related factors on the adoption of Electric Vehicle (EV), namely upfront cost and usage-related cost, using purchase subsides and fuel prices as examples, respectively. An agent-based integrated micro-simulation model (SelfSim-EV) was used here to simulate how the EV market in Beijing might evolve from 2016 to 2020, within several “what-if” scenarios considering different Plug-in Hybrid Electric Vehicle (PHEV) subsides, petrol prices and electricity prices. The results suggested that 1) doubling the PHEV subsidy would make PHEV price competitive and thus increase the PHEV sale from around zero to 2500 in 2019. The PHEV sale price increases by around 3500 RMB (from around 261,000 to 264,500 RMB) due to the increase in the PHEV penetrate rate. This further gives rise to the changes in those urban elements connected with the EV market, including the urban environment, electricity and infrastructure systems, especially at the disaggregate level; 2) both electricity and petrol prices have little influence on the adoption of EVs at the macro level (i.e. the city level), but they do influence the spatial distributions of both CV and EV owners (based on the analyses of their residential locations) and further geographical distributions of vehicular emissions, EV-related facilities (e.g., charging posts) and electricity demand of EV at multiple resolutions, ranging from the facility level to district level.

ACS Style

Chengxiang Zhuge; Binru Wei; Chunfu Shao; Chunjiao Dong; Meng Meng; Jie Zhang. The potential influence of cost-related factors on the adoption of electric vehicle: An integrated micro-simulation approach. Journal of Cleaner Production 2019, 250, 119479 .

AMA Style

Chengxiang Zhuge, Binru Wei, Chunfu Shao, Chunjiao Dong, Meng Meng, Jie Zhang. The potential influence of cost-related factors on the adoption of electric vehicle: An integrated micro-simulation approach. Journal of Cleaner Production. 2019; 250 ():119479.

Chicago/Turabian Style

Chengxiang Zhuge; Binru Wei; Chunfu Shao; Chunjiao Dong; Meng Meng; Jie Zhang. 2019. "The potential influence of cost-related factors on the adoption of electric vehicle: An integrated micro-simulation approach." Journal of Cleaner Production 250, no. : 119479.

Journal article
Published: 01 November 2019 in Transportation Research Part E: Logistics and Transportation Review
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ACS Style

Linghui Han; Chengjuan Zhu; David Z.W. Wang; Huijun Sun; Zhijia Tan; Meng Meng. Discrete-time dynamic road congestion pricing under stochastic user optimal principle. Transportation Research Part E: Logistics and Transportation Review 2019, 131, 24 -36.

AMA Style

Linghui Han, Chengjuan Zhu, David Z.W. Wang, Huijun Sun, Zhijia Tan, Meng Meng. Discrete-time dynamic road congestion pricing under stochastic user optimal principle. Transportation Research Part E: Logistics and Transportation Review. 2019; 131 ():24-36.

Chicago/Turabian Style

Linghui Han; Chengjuan Zhu; David Z.W. Wang; Huijun Sun; Zhijia Tan; Meng Meng. 2019. "Discrete-time dynamic road congestion pricing under stochastic user optimal principle." Transportation Research Part E: Logistics and Transportation Review 131, no. : 24-36.

Journal article
Published: 03 September 2019 in IEEE Access
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ACS Style

Yongxing Li; David Z. W. Wang; Meng Meng; Ke Wang. Simulation of Pedestrian Evacuation in University Canteen Based on Cellular Automata. IEEE Access 2019, 7, 130120 -130132.

AMA Style

Yongxing Li, David Z. W. Wang, Meng Meng, Ke Wang. Simulation of Pedestrian Evacuation in University Canteen Based on Cellular Automata. IEEE Access. 2019; 7 ():130120-130132.

Chicago/Turabian Style

Yongxing Li; David Z. W. Wang; Meng Meng; Ke Wang. 2019. "Simulation of Pedestrian Evacuation in University Canteen Based on Cellular Automata." IEEE Access 7, no. : 130120-130132.

Journal article
Published: 01 September 2019 in Transportation Research Part B: Methodological
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ACS Style

J. Zhang; Meng Meng; Z.W. Wang David. A dynamic pricing scheme with negative prices in dockless bike sharing systems. Transportation Research Part B: Methodological 2019, 127, 201 -224.

AMA Style

J. Zhang, Meng Meng, Z.W. Wang David. A dynamic pricing scheme with negative prices in dockless bike sharing systems. Transportation Research Part B: Methodological. 2019; 127 ():201-224.

Chicago/Turabian Style

J. Zhang; Meng Meng; Z.W. Wang David. 2019. "A dynamic pricing scheme with negative prices in dockless bike sharing systems." Transportation Research Part B: Methodological 127, no. : 201-224.

Journal article
Published: 26 August 2019 in IEEE Access
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A pedestrian choice model of vertical walking facilities based on random forest is established in rail transit station considering four key influence factors: interlayer height, luggage, the difference in the number of pedestrians in front of elevator and stairway, and walking speed. This model is verified with the collected data of Changchun light-rail transfer station and Beijing Xi-zhi-men railway transfer station, China, and compared with the choice model based on support vector machine. Prediction results of these two choice models are all good and acceptable. The difference between the mean prediction accuracies of these two pedestrian choice models is small (0.62%). Incorporating the choice model of vertical walking facilities into a cellular automata (CA)-based pedestrian simulation model, and setting reminder sign in front of pedestrian choice zone to reduce conflicts, pedestrian choice behavior of vertical walking facilities in rail transit station is simulated. The simulation results indicate that efficiency of pedestrians passing is improved with the effect of reminder sign, and the distance between reminder sign and vertical walking facilities should be set to be larger than 4 m.

ACS Style

Yongxing Li; David Z. W. Wang; Meng Meng; Yanyan Chen; Zhijian Fu. Modeling Pedestrian Choice Behavior of Vertical Walking Facilities in Rail Transit Station Considering Reminder Sign. IEEE Access 2019, 7, 122006 -122018.

AMA Style

Yongxing Li, David Z. W. Wang, Meng Meng, Yanyan Chen, Zhijian Fu. Modeling Pedestrian Choice Behavior of Vertical Walking Facilities in Rail Transit Station Considering Reminder Sign. IEEE Access. 2019; 7 (99):122006-122018.

Chicago/Turabian Style

Yongxing Li; David Z. W. Wang; Meng Meng; Yanyan Chen; Zhijian Fu. 2019. "Modeling Pedestrian Choice Behavior of Vertical Walking Facilities in Rail Transit Station Considering Reminder Sign." IEEE Access 7, no. 99: 122006-122018.

Journal article
Published: 15 June 2019 in Journal of Cleaner Production
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This paper investigates bike allocation strategy in a competitive dockless bike sharing market from both market leader and market follower's perspective. Market leader aims to grasp the market using the shortest time, while market follower wants to get the market share from market leader. The initial bike allocation position, coverage area and allocation method are investigated based on community structure method. An approximate optimal allocation model is proposed to maximise the recourses. Numerical examples are tested in a simplified Sioux Falls network and a real bike sharing network in Singapore to illustrate the effectiveness and practicability. Results show that the proposed method could identify the reasonable and efficient allocation position quickly. Market follower should apply the same allocation strategy as market leader, while use lower ticket, more bikes, and large batches allocation to strive for market share.

ACS Style

J. Zhang; M. Meng. Bike allocation strategies in a competitive dockless bike sharing market. Journal of Cleaner Production 2019, 233, 869 -879.

AMA Style

J. Zhang, M. Meng. Bike allocation strategies in a competitive dockless bike sharing market. Journal of Cleaner Production. 2019; 233 ():869-879.

Chicago/Turabian Style

J. Zhang; M. Meng. 2019. "Bike allocation strategies in a competitive dockless bike sharing market." Journal of Cleaner Production 233, no. : 869-879.

Articles
Published: 22 March 2019 in Transportation Letters
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This paper proposes an optimization model formulation for the design of bus stop spacing of on-demand public bus (ODPB) service. The objective of this model is to minimize the total travel time of all the passengers. To capture the unique characteristics of ODPB service, model constraints such as the length of segment, the configuration of shed line, minimum stop spacing, vehicle capacity limitation, are explicitly considered. Numerical results show that the optimal bus stop spacing for ODPB is very different from a conventional bus. Factors like passenger density, travel time perception weight ratio, access/egress walking speed, and the time loss near/at the stop would affect the ODPB stop spacing significantly.

ACS Style

Jie Zhang; David Z.W. Wang; Meng Meng. Optimization of bus stop spacing for on-demand public bus service. Transportation Letters 2019, 12, 329 -339.

AMA Style

Jie Zhang, David Z.W. Wang, Meng Meng. Optimization of bus stop spacing for on-demand public bus service. Transportation Letters. 2019; 12 (5):329-339.

Chicago/Turabian Style

Jie Zhang; David Z.W. Wang; Meng Meng. 2019. "Optimization of bus stop spacing for on-demand public bus service." Transportation Letters 12, no. 5: 329-339.

Journal article
Published: 01 February 2019 in International Journal of Modern Physics C
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This paper analyses the characteristics of separating pedestrian flow in T-shaped passage. Pedestrians would wave and the crowed phenomenon may happen in the connection area of the main passage and branch passage. In order to reduce the pedestrian conflicts, guide sign is set to guide the pedestrians and subconscious strength is introduced to show the effect of guide sign. On this basis, simulation model of separating pedestrian flow in T-shaped passage based on guide sign considering unbalanced flow is established. On the platform of MATLAB software, separating pedestrian flow simulation with the effect of guide sign is realized. Simulations indicate that efficiency of pedestrians passing the passage is improved with the effect of guide sign, suitable position of guide sign is obtained, and compared with the separating pedestrian flow based on guide sign without considering unbalanced flow, the model considering unbalanced flow is better in describing pedestrian distribution.

ACS Style

Yongxing Li; David Z. W. Wang; Yan Wang; Yanyan Chen; Meng Meng; Hongfei Jia. Simulation of separating pedestrian flow in T-shaped passage based on guide sign considering unbalanced flow. International Journal of Modern Physics C 2019, 30, 1 .

AMA Style

Yongxing Li, David Z. W. Wang, Yan Wang, Yanyan Chen, Meng Meng, Hongfei Jia. Simulation of separating pedestrian flow in T-shaped passage based on guide sign considering unbalanced flow. International Journal of Modern Physics C. 2019; 30 (02n03):1.

Chicago/Turabian Style

Yongxing Li; David Z. W. Wang; Yan Wang; Yanyan Chen; Meng Meng; Hongfei Jia. 2019. "Simulation of separating pedestrian flow in T-shaped passage based on guide sign considering unbalanced flow." International Journal of Modern Physics C 30, no. 02n03: 1.

Journal article
Published: 30 October 2018 in Transportation Research Part A: Policy and Practice
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This paper develops an analytical model to support the decision-making for selection of a public transport service (PTS) provision between park & ride and on-demand public bus (ODPB). The objective of the model is to maximise the total social welfare, which includes consumer surplus and operator’s net profit. The model is solved by a heuristic solution procedure and tested on an idealized linear travel corridor. The case study considers the effects from population density, density distribution, size of residential area, P&R station location, distance from the residential area to centre business area (CBD), as well as the changes of residential area layout and population growth. Results show that P&R fits for low population density area while ODPB is more suitable for high population density area. Population distribution type has little influence on the services’ social welfare. ODPB is a preferable service for the city which does not have advanced metro network. Besides, the investment time for building ODPB service in the planning horizon is discussed with consideration of the development of residential area.

ACS Style

Jie Zhang; David Z.W. Wang; Meng Meng. Which service is better on a linear travel corridor: Park & ride or on-demand public bus? Transportation Research Part A: Policy and Practice 2018, 118, 803 -818.

AMA Style

Jie Zhang, David Z.W. Wang, Meng Meng. Which service is better on a linear travel corridor: Park & ride or on-demand public bus? Transportation Research Part A: Policy and Practice. 2018; 118 ():803-818.

Chicago/Turabian Style

Jie Zhang; David Z.W. Wang; Meng Meng. 2018. "Which service is better on a linear travel corridor: Park & ride or on-demand public bus?" Transportation Research Part A: Policy and Practice 118, no. : 803-818.

Journal article
Published: 01 October 2018 in Proceedings of the Institution of Civil Engineers - Engineering Sustainability
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This study analysed the feasibility of a bike-sharing programme in Singapore based on a case study in the Jurong Lake district. Data were collected using a two-stage perception survey to gather the public’s general awareness and opinions about bike sharing and followed by estimating the likely take-up rate of bike sharing. The results showed that bike-sharing schemes would be suitable around mass rapid transit stations and low rental costs would encourage bike sharing. Finally, a distance-based mode-choice model was established for four scenarios (morning peak and good weather, morning peak and bad weather, evening peak and good weather and evening peak and bad weather), focusing on walking, bike sharing and taking a bus. Weather could have an obvious impact on the frequency of bike sharing.

ACS Style

Jie Zhang; Puay Ping Koh; Meng Meng; Bok Wee Leow; Yiik Diew Wong. Feasibility study of bike sharing in Singapore. Proceedings of the Institution of Civil Engineers - Engineering Sustainability 2018, 171, 351 -357.

AMA Style

Jie Zhang, Puay Ping Koh, Meng Meng, Bok Wee Leow, Yiik Diew Wong. Feasibility study of bike sharing in Singapore. Proceedings of the Institution of Civil Engineers - Engineering Sustainability. 2018; 171 (7):351-357.

Chicago/Turabian Style

Jie Zhang; Puay Ping Koh; Meng Meng; Bok Wee Leow; Yiik Diew Wong. 2018. "Feasibility study of bike sharing in Singapore." Proceedings of the Institution of Civil Engineers - Engineering Sustainability 171, no. 7: 351-357.

Journal article
Published: 01 August 2018 in Transportation Research Part A: Policy and Practice
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ACS Style

Meng Meng; Andreas Rau; Hita Mahardhika. Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage. Transportation Research Part A: Policy and Practice 2018, 114, 24 -37.

AMA Style

Meng Meng, Andreas Rau, Hita Mahardhika. Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage. Transportation Research Part A: Policy and Practice. 2018; 114 ():24-37.

Chicago/Turabian Style

Meng Meng; Andreas Rau; Hita Mahardhika. 2018. "Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage." Transportation Research Part A: Policy and Practice 114, no. : 24-37.

Conference paper
Published: 01 February 2018 in Proceedings of the Institution of Civil Engineers - Transport
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This paper analysed automobile commuters' mode choice behaviour under the influence of simulated multimodal traveller information by developing two logit models. A combined revealed preference (RP)/stated preference (SP) travel behaviour survey was administered to drivers to gather individual commuters' travel decisions under integrated multimodal traveller information. Two SP scenarios were designed where the first scenario is to test the mode choice preference in a basic situation involving a congested work/school trip with information on several travel options, and the second scenario is to investigate the mode choice decision when certain incentives are given for public transport. Results showed that integrated multimodal traveller information can influence a traveller's mode choice decision. The influencing factors that significantly affect the mode choice decision include socio-economic characteristics – for example, gender, age, level of education and level of income – and multimodal traveller information attributes – for example, access mode to mass rapid transit (MRT) station, access time to MRT station and transit seat availability. The findings are useful to traffic management agencies for designing better operational policy and information publication strategies.

ACS Style

Meng Meng; Abdul Ahad Memon; Soi-Hoi Lam; Yiik Diew Wong. Impact of traveller information on mode choice behaviour. Proceedings of the Institution of Civil Engineers - Transport 2018, 171, 11 -19.

AMA Style

Meng Meng, Abdul Ahad Memon, Soi-Hoi Lam, Yiik Diew Wong. Impact of traveller information on mode choice behaviour. Proceedings of the Institution of Civil Engineers - Transport. 2018; 171 (1):11-19.

Chicago/Turabian Style

Meng Meng; Abdul Ahad Memon; Soi-Hoi Lam; Yiik Diew Wong. 2018. "Impact of traveller information on mode choice behaviour." Proceedings of the Institution of Civil Engineers - Transport 171, no. 1: 11-19.

Journal article
Published: 01 November 2017 in Journal of Transportation Engineering, Part A: Systems
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ACS Style

J. Zhang; David Z. W. Wang; M. Meng. Analyzing Customized Bus Service on a Multimodal Travel Corridor: An Analytical Modeling Approach. Journal of Transportation Engineering, Part A: Systems 2017, 143, 04017057 .

AMA Style

J. Zhang, David Z. W. Wang, M. Meng. Analyzing Customized Bus Service on a Multimodal Travel Corridor: An Analytical Modeling Approach. Journal of Transportation Engineering, Part A: Systems. 2017; 143 (11):04017057.

Chicago/Turabian Style

J. Zhang; David Z. W. Wang; M. Meng. 2017. "Analyzing Customized Bus Service on a Multimodal Travel Corridor: An Analytical Modeling Approach." Journal of Transportation Engineering, Part A: Systems 143, no. 11: 04017057.

Journal article
Published: 01 March 2017 in Journal of Public Transportation
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The design of bus stops significantly affects bus operation. The delay time caused by inappropriate bus stop design adversely influences the efficiency of the system. This paper aims to examine the influence of bus stops on bus operating time components through statistical analysis, using Singapore as a case study. Two common types of bus stops, bus bay and curb-side stop, were investigated during the field survey to obtain actual data of bus operation at stops. Sixteen stops were chosen in pairs to compare the differences in operating time at bus stops. Bus operating times, including acceleration time, dwell time, deceleration time, and delay time, were recorded, with five types of delay time categorized. A total of 2,653 valid data records were collected and processed. The results showed that buses have better operational performance at curb-side stops than at bus bays in terms of average passenger boarding and alighting time and acceleration time. These findings have operational and planning implications for transport authorities and operators with regard to evaluating the performance of bus operation and improving the design of bus stops.

ACS Style

Xiaodong Liu; Yao Yang; Meng Meng; Andreas Rau; Tum Create Ltd.. Impact of Different Bus Stop Designs on Bus Operating Time Components. Journal of Public Transportation 2017, 20, 104 -118.

AMA Style

Xiaodong Liu, Yao Yang, Meng Meng, Andreas Rau, Tum Create Ltd.. Impact of Different Bus Stop Designs on Bus Operating Time Components. Journal of Public Transportation. 2017; 20 (1):104-118.

Chicago/Turabian Style

Xiaodong Liu; Yao Yang; Meng Meng; Andreas Rau; Tum Create Ltd.. 2017. "Impact of Different Bus Stop Designs on Bus Operating Time Components." Journal of Public Transportation 20, no. 1: 104-118.

Journal article
Published: 28 February 2017 in The Open Transportation Journal
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Aim: Real-time traveler information affects auto commuter’s travel behavior. Method: An ordered probit model is used to analyze auto commuter’s mode switching propensity under influence of simulated real-time multimodal traveler information. A travel preference survey is administered to car drivers to gather individual commuter’s travel decisions under integrated multimodal traveler information. Result: It is shown that integrated multimodal traveler information can influence willingness of car drivers to switch mode of travel, while socio-economic characteristics also influence the mode choice decision.

ACS Style

A.A. Memon; M. Meng; Yiik Diew Wong; S.H. Lam. Impact of Integrated Multimodal Traveler Information on Auto Commuter’s Mode Switching Propensity. The Open Transportation Journal 2017, 11, 20 -30.

AMA Style

A.A. Memon, M. Meng, Yiik Diew Wong, S.H. Lam. Impact of Integrated Multimodal Traveler Information on Auto Commuter’s Mode Switching Propensity. The Open Transportation Journal. 2017; 11 (1):20-30.

Chicago/Turabian Style

A.A. Memon; M. Meng; Yiik Diew Wong; S.H. Lam. 2017. "Impact of Integrated Multimodal Traveler Information on Auto Commuter’s Mode Switching Propensity." The Open Transportation Journal 11, no. 1: 20-30.