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Ride-sharing can increase the accessibility of areas with limited transport options, such as rural areas. However, drivers may not be willing to detour from their route to collect passengers in low-demand areas. We analyse the introduction of an economic incentive to an intercity ride-sharing platform to encourage drivers to stop in small towns along their route. The results of a simulation analysis using a synthetic network show that social welfare is maximised when the economic incentive is about 3.3 times the value of travel time when demand and supply are in equilibrium. However, individual welfare gains were small. When passengers placed a high value on travel time, the incentive had a negative impact on social welfare. The incentive always had a negative impact on the income of the platform provider.
Azarel Chamorro-Obra; Daisuke Fukuda. Impacts of an economic incentive for intercity peer-to-peer ride-sharing in sparsely populated areas. Asian Transport Studies 2020, 6, 100008 .
AMA StyleAzarel Chamorro-Obra, Daisuke Fukuda. Impacts of an economic incentive for intercity peer-to-peer ride-sharing in sparsely populated areas. Asian Transport Studies. 2020; 6 ():100008.
Chicago/Turabian StyleAzarel Chamorro-Obra; Daisuke Fukuda. 2020. "Impacts of an economic incentive for intercity peer-to-peer ride-sharing in sparsely populated areas." Asian Transport Studies 6, no. : 100008.
The transit-oriented development (TOD) is expected to bring externalities, one of which is indirectly affecting the residential land values within the area. In Tokyo and its suburbs where people are heavily dependent on train networks, some station-area neighborhoods and railway lines operated by different railway companies may have intrinsic values, caused by either the quality and service of each neighborhood and line or other, unobservable traits. In this paper, the effects of TOD characteristics and different railway lines on residential land values are analyzed by utilizing the multiple membership multilevel model. The empirical result emphasizes three things. First, several TOD factors significantly affect residential land value. Second, differences across railway lines are responsible for creating a large share of land value variations. Third, the effects are the largest for the lines serving areas south to west of Tokyo in comparison with other selected railway lines.
Salsabila Panji Arum; Daisuke Fukuda. The impact of railway networks on residential land values within transit-oriented development areas. Asian Transport Studies 2020, 6, 100009 .
AMA StyleSalsabila Panji Arum, Daisuke Fukuda. The impact of railway networks on residential land values within transit-oriented development areas. Asian Transport Studies. 2020; 6 ():100009.
Chicago/Turabian StyleSalsabila Panji Arum; Daisuke Fukuda. 2020. "The impact of railway networks on residential land values within transit-oriented development areas." Asian Transport Studies 6, no. : 100009.
Qian Ge; Daisuke Fukuda; Ke Han; Wenjing Song. Reservoir-based surrogate modeling of dynamic user equilibrium. Transportation Research Part C: Emerging Technologies 2020, 113, 350 -369.
AMA StyleQian Ge, Daisuke Fukuda, Ke Han, Wenjing Song. Reservoir-based surrogate modeling of dynamic user equilibrium. Transportation Research Part C: Emerging Technologies. 2020; 113 ():350-369.
Chicago/Turabian StyleQian Ge; Daisuke Fukuda; Ke Han; Wenjing Song. 2020. "Reservoir-based surrogate modeling of dynamic user equilibrium." Transportation Research Part C: Emerging Technologies 113, no. : 350-369.
Transporting parcels on urban passenger rail transit is gaining growing interest as a response to the increasing demand and cost of urban parcel delivery. To analyze the welfare effects of different fare regimes when allowing parcel services on an urban rail transit, this paper models the optimal service problem where the transit operator chooses the number of trains and the departure intervals. By introducing a reduced form train timetable problem, the passenger train crowding model is extended to incorporate the effect of freight train scheduling. We show that the freight users are better off in the time-varying optimal fare regime, while passengers are worse off, and that the time-varying optimal fare regime calls for more trains than the optimal uniform fare regime. However, the reduction in passenger trains due to the introduction of freight service can eliminate the welfare gain from passenger time-varying fare. If the price elasticity of freight demand is relatively high, implementing road toll can generate welfare loss when rail transit is privately operated.
Chaoda Xie; Xifu Wang; Daisuke Fukuda. On the Pricing of Urban Rail Transit with Track Sharing Freight Service. Sustainability 2020, 12, 2758 .
AMA StyleChaoda Xie, Xifu Wang, Daisuke Fukuda. On the Pricing of Urban Rail Transit with Track Sharing Freight Service. Sustainability. 2020; 12 (7):2758.
Chicago/Turabian StyleChaoda Xie; Xifu Wang; Daisuke Fukuda. 2020. "On the Pricing of Urban Rail Transit with Track Sharing Freight Service." Sustainability 12, no. 7: 2758.
Safety guidelines for autonomous vehicles (AVs) in many regions or countries require AV service providers to have the means to communicate with vehicles and the ability to stop them safely in case of emergencies. The transition to full deployment of AV services is dependent on more advanced monitoring methods. This study uses a survey of approximately 2000 residents of Japanese cities to investigate how monitoring methods affect their intentions to use these services. In particular, the survey is designed to understand how individuals react to unattended operations and remote monitoring in road passenger services including buses and taxis; the survey includes direct questions about intentions to use autonomous buses and taxis and a stated choice experiment based on the respondents’ preferences over their current mode of transportation and autonomous taxis. The results show that monitoring methods have mixed impacts. On one hand, monitoring could affect the general acceptance of AV services. The difference in the overall resistance to using these services is particularly large between the onboard human and remote monitoring options. Individuals tend to express stronger resistance to more advanced remote monitoring. On the other hand, the stated choice results show that the effects of these monitoring factors could be less significant in the actual settings of transportation mode choices; the effects of travel cost and time factors are likely to be more significant. These results suggest that when individuals consider AVs in the context of real-world decisions, their resistance to new technologies is diminished in comparison to their responses to abstract questions.
Ryosuke Abe; Yusuke Kita; Daisuke Fukuda. An Experimental Approach to Understanding the Impacts of Monitoring Methods on Use Intentions for Autonomous Vehicle Services: Survey Evidence from Japan. Sustainability 2020, 12, 2157 .
AMA StyleRyosuke Abe, Yusuke Kita, Daisuke Fukuda. An Experimental Approach to Understanding the Impacts of Monitoring Methods on Use Intentions for Autonomous Vehicle Services: Survey Evidence from Japan. Sustainability. 2020; 12 (6):2157.
Chicago/Turabian StyleRyosuke Abe; Yusuke Kita; Daisuke Fukuda. 2020. "An Experimental Approach to Understanding the Impacts of Monitoring Methods on Use Intentions for Autonomous Vehicle Services: Survey Evidence from Japan." Sustainability 12, no. 6: 2157.
Partitioning a heterogeneous road network into homogenous subnetworks is one way of solving the problem of high scattering or a hysteresis loop that may be inherent in the empirics of a macroscopic fundamental diagram. This study conducts cross-comparison analysis of two well-studied partitioning methods—(i) community detection through modularity maximization and (ii) normalized cut graph partitioning—to investigate the applicability of these methods. Through a case study using real traffic data recorded by an enormous number of detectors in the Tokyo central business district, we found that both methods work well for the test transportation network; however, undesirable results may be obtained if there is only one bottleneck in a subnetwork, or if there is a drastic change in traffic conditions between adjacent links.
Takao Dantsuji; Shin Hirabayashi; Qian Ge; Daisuke Fukuda. Cross Comparison of Spatial Partitioning Methods for an Urban Transportation Network. International Journal of Intelligent Transportation Systems Research 2019, 18, 412 -421.
AMA StyleTakao Dantsuji, Shin Hirabayashi, Qian Ge, Daisuke Fukuda. Cross Comparison of Spatial Partitioning Methods for an Urban Transportation Network. International Journal of Intelligent Transportation Systems Research. 2019; 18 (3):412-421.
Chicago/Turabian StyleTakao Dantsuji; Shin Hirabayashi; Qian Ge; Daisuke Fukuda. 2019. "Cross Comparison of Spatial Partitioning Methods for an Urban Transportation Network." International Journal of Intelligent Transportation Systems Research 18, no. 3: 412-421.
Hideki Oka; Yasukatsu Hagino; Takeshi Kenmochi; Ryota Tani; Ryuta Nishi; Kotaro Endo; Daisuke Fukuda. Predicting travel pattern changes of freight trucks in the Tokyo Metropolitan area based on the latest large-scale urban freight survey and route choice modeling. Transportation Research Part E: Logistics and Transportation Review 2019, 129, 305 -324.
AMA StyleHideki Oka, Yasukatsu Hagino, Takeshi Kenmochi, Ryota Tani, Ryuta Nishi, Kotaro Endo, Daisuke Fukuda. Predicting travel pattern changes of freight trucks in the Tokyo Metropolitan area based on the latest large-scale urban freight survey and route choice modeling. Transportation Research Part E: Logistics and Transportation Review. 2019; 129 ():305-324.
Chicago/Turabian StyleHideki Oka; Yasukatsu Hagino; Takeshi Kenmochi; Ryota Tani; Ryuta Nishi; Kotaro Endo; Daisuke Fukuda. 2019. "Predicting travel pattern changes of freight trucks in the Tokyo Metropolitan area based on the latest large-scale urban freight survey and route choice modeling." Transportation Research Part E: Logistics and Transportation Review 129, no. : 305-324.
Understanding inter-region travel patterns is an important issue for many reasons. This paper aims at utilising the data of the number of travellers, which nowadays can be obtained easily at any time by using mobile phone location data. In this study, an automatic feature extraction method is proposed with a random matrix theory-based principal component analysis (RMT-PCA), and its ability is confirmed by applying it to the data of the number of long-period inter-region travellers. The results show that some seasonal and weekly patterns, as well as economic and climatic situations, were revealed by the data, some of which might be missed by a conventional method. In addition, the selection of data, whether daytime or nighttime, brought about a different result in both the number of extracted features and their interpretation.
Wataru Nakanishi; Hiromichi Yamaguchi; Daisuke Fukuda. Feature Extraction of Inter-Region Travel Pattern Using Random Matrix Theory and Mobile Phone Location Data. Transportation Research Procedia 2018, 34, 115 -122.
AMA StyleWataru Nakanishi, Hiromichi Yamaguchi, Daisuke Fukuda. Feature Extraction of Inter-Region Travel Pattern Using Random Matrix Theory and Mobile Phone Location Data. Transportation Research Procedia. 2018; 34 ():115-122.
Chicago/Turabian StyleWataru Nakanishi; Hiromichi Yamaguchi; Daisuke Fukuda. 2018. "Feature Extraction of Inter-Region Travel Pattern Using Random Matrix Theory and Mobile Phone Location Data." Transportation Research Procedia 34, no. : 115-122.
Identification of an appropriate route choice model to understand travel behavior remains challenging. To this end, Fosgerau et al. (2013) have recently developed a link-based route choice model termed the “recursive logit” (RL) model. A decision-maker is assumed to choose the next link recursively that maximizes the sum of instantaneous utility and expected downstream utility at each node. However, in practical application, some computational issues remain, including large (and often ill-defined) matrix inversions. Here, we develop an alternative RL model that considers the probability of awareness of the next link that improves the stability of model estimations. The model was estimated using vehicle trajectory data from the ETC (Electronic Toll Collection) 2.0 dataset of the Tokyo Metropolitan area, and the results were compared to those of a conventional RL model in terms of predictive accuracy and computational efficiency.
Noriko Kaneko; Hideki Oka; Makoto Chikaraishi; Henrik Becker; Daisuke Fukuda. Route Choice Analysis in the Tokyo Metropolitan Area Using a Link-based Recursive Logit Model Featuring Link Awareness. Transportation Research Procedia 2018, 34, 251 -258.
AMA StyleNoriko Kaneko, Hideki Oka, Makoto Chikaraishi, Henrik Becker, Daisuke Fukuda. Route Choice Analysis in the Tokyo Metropolitan Area Using a Link-based Recursive Logit Model Featuring Link Awareness. Transportation Research Procedia. 2018; 34 ():251-258.
Chicago/Turabian StyleNoriko Kaneko; Hideki Oka; Makoto Chikaraishi; Henrik Becker; Daisuke Fukuda. 2018. "Route Choice Analysis in the Tokyo Metropolitan Area Using a Link-based Recursive Logit Model Featuring Link Awareness." Transportation Research Procedia 34, no. : 251-258.
The purpose of this study is to develop a method to estimate duration of stay at transit facilities by detecting Wi-Fi MAC addresses. The validation survey was conducted at one of the largest highway bus terminals, “Busta Shinjuku”, in Tokyo, Japan. The data is compared to interview survey results obtained during the same period for verification. The estimated staying duration was smaller than the one obtained by interview surveys. This implies that Wi-Fi survey possibly observed through traffic as well as the staying travelers.
Takahiko Kusakabe; Hideki Yaginuma; Daisuke Fukuda. Estimation of bus passengers’ waiting time at a coach terminal with Wi-Fi MAC addresses. Transportation Research Procedia 2018, 32, 62 -68.
AMA StyleTakahiko Kusakabe, Hideki Yaginuma, Daisuke Fukuda. Estimation of bus passengers’ waiting time at a coach terminal with Wi-Fi MAC addresses. Transportation Research Procedia. 2018; 32 ():62-68.
Chicago/Turabian StyleTakahiko Kusakabe; Hideki Yaginuma; Daisuke Fukuda. 2018. "Estimation of bus passengers’ waiting time at a coach terminal with Wi-Fi MAC addresses." Transportation Research Procedia 32, no. : 62-68.
In this paper, we present a dynamic network loading (DNL) model that captures the traffic dynamics for multiple-reservoir networks dependent on the relationship among macroscopic traffic characteristics, and develop a numerical method based on the Godunov scheme. The proposed DNL model consists of link model and node model. The traffic dynamics of the internal paths in a reservoir are specified by a system of Lighthill–Whitham–Richards-like partial differential equations, which build on the conservation law, while the flows at the boundaries between reservoirs are determined by the supply–demand balances between upstream and downstream reservoirs. A novel numerical method is developed based on the Godunov scheme to track the movement of vehicles in the network while maintaining the relevant priority rules. In comparison with previous approaches, the proposed numerical scheme is computationally efficient, considers the non-uniform cell sizes inherent in different internal paths within a reservoir, and conserves the flow through holding and balancing rules. Numerical experiments indicate that the proposed methodology can describe the dynamics of vehicles in large-scale traffic network efficiently.
Qian Ge; Daisuke Fukuda. A macroscopic dynamic network loading model for multiple-reservoir system. Transportation Research Part B: Methodological 2018, 126, 502 -527.
AMA StyleQian Ge, Daisuke Fukuda. A macroscopic dynamic network loading model for multiple-reservoir system. Transportation Research Part B: Methodological. 2018; 126 ():502-527.
Chicago/Turabian StyleQian Ge; Daisuke Fukuda. 2018. "A macroscopic dynamic network loading model for multiple-reservoir system." Transportation Research Part B: Methodological 126, no. : 502-527.
We consider the problem of coordination via signaling in network congestion games to improve social welfare deteriorated by incomplete information about traffic flow. Traditional studies on signaling, which focus on exogenous factors of congestion and ignore congestion externalities, fail to discuss the oscillations of traffic flow. To address this gap, we formulate a problem of designing a coordination signal on endogenous information about traffic flow and introduce a self-fulfilling characteristic of a signal that guarantees an outcome flow consistent with the signal itself without causing the unwanted oscillation. An instance of the self-fulfilling signal is shown in the case of a Gaussian signal distribution. In addition, we show simple numerical examples. The results reveal how a self-fulfilling signal suppresses the oscillation and simultaneously improves social welfare through improved network efficiency.
Tatsuya Iwase; Yukihiro Tadokoro; Daisuke Fukuda. Self-Fulfilling Signal of an Endogenous State in Network Congestion Games. Networks and Spatial Economics 2017, 17, 889 -909.
AMA StyleTatsuya Iwase, Yukihiro Tadokoro, Daisuke Fukuda. Self-Fulfilling Signal of an Endogenous State in Network Congestion Games. Networks and Spatial Economics. 2017; 17 (3):889-909.
Chicago/Turabian StyleTatsuya Iwase; Yukihiro Tadokoro; Daisuke Fukuda. 2017. "Self-Fulfilling Signal of an Endogenous State in Network Congestion Games." Networks and Spatial Economics 17, no. 3: 889-909.
A model system to forecast urban rail travel demand technically supported the formulation of the Tokyo Urban Rail Development Master Plan for 2016. The model system was included in the forthcoming 15-year urban rail investment strategy for Tokyo and was used to make a quantitative assessment of urban rail projects, including 24 new rail development projects that had been proposed in response to expected changes in sociodemographic patterns, land use markets, and the government’s latest transportation policy goals. The system covered the entire urban rail network within the Tokyo metropolitan area, with approximately a 50-km radius and a population of more than 34 million. The system would have to have handled more than 80 million trips per day. Three demand models were used to predict daily rail passenger link flows: urban rail, airport rail access, and high-speed rail access. These practical models had unique characteristics, such as incorporating differences in behavior between older and younger travelers, reflecting expected influences of urban redevelopment on trip generation and distribution, highlighting urban rail access to airports or high-speed-rail stations, examining effects of in-vehicle crowding on rail route choice, and deploying mode choice models for urban rail station access–egress for rail route choice. The authors concluded that the model system would be well calibrated with observed data for reproducing travel patterns, identifying potential problems, assessing proposed projects, presenting results with high accuracy, and assisting decision making of urban rail planners.
Hironori Kato; Daisuke Fukuda; Yoshihisa Yamashita; Seiji Iwakura; Tetsuo Yai. Latest Urban Rail Demand Forecast Model System in the Tokyo Metropolitan Area. Transportation Research Record: Journal of the Transportation Research Board 2017, 2668, 60 -77.
AMA StyleHironori Kato, Daisuke Fukuda, Yoshihisa Yamashita, Seiji Iwakura, Tetsuo Yai. Latest Urban Rail Demand Forecast Model System in the Tokyo Metropolitan Area. Transportation Research Record: Journal of the Transportation Research Board. 2017; 2668 (1):60-77.
Chicago/Turabian StyleHironori Kato; Daisuke Fukuda; Yoshihisa Yamashita; Seiji Iwakura; Tetsuo Yai. 2017. "Latest Urban Rail Demand Forecast Model System in the Tokyo Metropolitan Area." Transportation Research Record: Journal of the Transportation Research Board 2668, no. 1: 60-77.
Daisuke Fukuda; Masanori Mizuguchi; Toru Seo; Takahiko Kusakabe; Yasuo Asakura. EVALUATION OF AREA LEVEL TRAVEL TIME RELIABILITY USING LARGE-SCALE PROBE VEHICLE TRAJECTORIES RECORDED FOR A LONG PERIOD. Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 2017, 73, I_1105 -I_1118.
AMA StyleDaisuke Fukuda, Masanori Mizuguchi, Toru Seo, Takahiko Kusakabe, Yasuo Asakura. EVALUATION OF AREA LEVEL TRAVEL TIME RELIABILITY USING LARGE-SCALE PROBE VEHICLE TRAJECTORIES RECORDED FOR A LONG PERIOD. Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management). 2017; 73 (5):I_1105-I_1118.
Chicago/Turabian StyleDaisuke Fukuda; Masanori Mizuguchi; Toru Seo; Takahiko Kusakabe; Yasuo Asakura. 2017. "EVALUATION OF AREA LEVEL TRAVEL TIME RELIABILITY USING LARGE-SCALE PROBE VEHICLE TRAJECTORIES RECORDED FOR A LONG PERIOD." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 73, no. 5: I_1105-I_1118.
The practice of estimating origin–destination (OD) demand usually requires large-scale travel surveys. To reduce the cost and time spent on surveys, individual trajectory data obtained from mobile devices has been used as an alternative dataset since the last two decades for OD estimation but also constrained in practice in some countries. To estimate OD matrices while protecting privacy, this study uses aggregated data of mobile phone traces to estimate work-related trips. The proposed approach is a sequential updater based on the maximum entropy principle. Trip production and attraction are firstly calculated by a non-linear programming problem followed by a matrix fitting problem to distribute trips to each OD pair. Numerical study shows that updated values are much closer to the synthesize real values than the referred ones. The case study in Tokyo further demonstrates that the proposed updating approach can track the change of travel pattern.
Qian Ge; Daisuke Fukuda. Updating origin–destination matrices with aggregated data of GPS traces. Transportation Research Part C: Emerging Technologies 2016, 69, 291 -312.
AMA StyleQian Ge, Daisuke Fukuda. Updating origin–destination matrices with aggregated data of GPS traces. Transportation Research Part C: Emerging Technologies. 2016; 69 ():291-312.
Chicago/Turabian StyleQian Ge; Daisuke Fukuda. 2016. "Updating origin–destination matrices with aggregated data of GPS traces." Transportation Research Part C: Emerging Technologies 69, no. : 291-312.
Jiangshan Ma; Daisuke Fukuda. A hyperpath-based network generalized extreme-value model for route choice under uncertainties. Transportation Research Part C: Emerging Technologies 2015, 59, 19 -31.
AMA StyleJiangshan Ma, Daisuke Fukuda. A hyperpath-based network generalized extreme-value model for route choice under uncertainties. Transportation Research Part C: Emerging Technologies. 2015; 59 ():19-31.
Chicago/Turabian StyleJiangshan Ma; Daisuke Fukuda. 2015. "A hyperpath-based network generalized extreme-value model for route choice under uncertainties." Transportation Research Part C: Emerging Technologies 59, no. : 19-31.
Yu Xiao; Daisuke Fukuda. On the cost of misperceived travel time variability. Transportation Research Part A: Policy and Practice 2015, 75, 96 -112.
AMA StyleYu Xiao, Daisuke Fukuda. On the cost of misperceived travel time variability. Transportation Research Part A: Policy and Practice. 2015; 75 ():96-112.
Chicago/Turabian StyleYu Xiao; Daisuke Fukuda. 2015. "On the cost of misperceived travel time variability." Transportation Research Part A: Policy and Practice 75, no. : 96-112.
Jiangshan Ma; Daisuke Fukuda. A Hyperpath-based Network Generalized Extreme-value Model for Route Choice under Uncertainties. Transportation Research Procedia 2015, 7, 44 -58.
AMA StyleJiangshan Ma, Daisuke Fukuda. A Hyperpath-based Network Generalized Extreme-value Model for Route Choice under Uncertainties. Transportation Research Procedia. 2015; 7 ():44-58.
Chicago/Turabian StyleJiangshan Ma; Daisuke Fukuda. 2015. "A Hyperpath-based Network Generalized Extreme-value Model for Route Choice under Uncertainties." Transportation Research Procedia 7, no. : 44-58.
Route planning is one of the core issues in transportation fields such as logistics, route guidance and traffic assignments. Many useful algorithms dealing with various problems have been proposed in the past. Some of them have been implemented in commercial software, while some others are still far from practice. In recent decades, the open source GIS has been developing very fast and many excellent projects have been built. In this paper, we make a note on route planning in transportation by utilizing such open sources. A data storage model, as well as the architecture of open sources, are introduced. As an example, the process of developing the hyperpath algorithm is illustrated. This paper may be useful for those who would like to customize GIS-based transportation analyzing tools by themselves for various purposes.
Jiangshan Ma; Daisuke Fukuda. A Note on Route Planning in Transportation with Open Sources. CICTP 2014 2014, 1 .
AMA StyleJiangshan Ma, Daisuke Fukuda. A Note on Route Planning in Transportation with Open Sources. CICTP 2014. 2014; ():1.
Chicago/Turabian StyleJiangshan Ma; Daisuke Fukuda. 2014. "A Note on Route Planning in Transportation with Open Sources." CICTP 2014 , no. : 1.
We propose an econometric-based model for the behavior of pedestrian walking that implicitly considers strategic or tactical decisions. In real situations, it is only possible to observe pedestrian trajectories and final choices of destination (e.g., the ticket gate they have actually chosen) and the targeted destination en route is latent and unobservable. To reflect this, a model of dynamic latent plans was extensively used by assuming destination choice as a decision at the planning level and walking at the action level. The latent plans (destinations) of pedestrians may dynamically change subject to the environment, leading to a dynamical and structural change in their action choices (walking trajectories).
Daisuke Fukuda; Toru Seo; Kaoru Yamada; Hideki Yaginuma; Nobuhiro Matsuyama. An Econometric-based Model of Pedestrian Walking Behavior Implicitly Considering Strategic or Tactical Decisions. Pedestrian and Evacuation Dynamics 2012 2013, 615 -624.
AMA StyleDaisuke Fukuda, Toru Seo, Kaoru Yamada, Hideki Yaginuma, Nobuhiro Matsuyama. An Econometric-based Model of Pedestrian Walking Behavior Implicitly Considering Strategic or Tactical Decisions. Pedestrian and Evacuation Dynamics 2012. 2013; ():615-624.
Chicago/Turabian StyleDaisuke Fukuda; Toru Seo; Kaoru Yamada; Hideki Yaginuma; Nobuhiro Matsuyama. 2013. "An Econometric-based Model of Pedestrian Walking Behavior Implicitly Considering Strategic or Tactical Decisions." Pedestrian and Evacuation Dynamics 2012 , no. : 615-624.