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Dr. Tomio Miwa
Institute of Materials and Systems for Sustainability, Nagoya University, Japan

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0 Sustainable Transportation
0 public transportation
0 intelligent transport systems
0 Travel behavior analysis
0 Green mobility

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Journal article
Published: 21 May 2021 in Accident Analysis & Prevention
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Crash severity model is a classical topic in road safety research. The multinomial logit (MNL) model, as a basic discrete outcome method, is widely applied to measure the association between crash severity and possible risk factors. However, the MNL model has several assumptions and properties that are possibly not consistent with the actual crash mechanism, and therefore with the association measure for crash severity. One significant attribute is the variation in drivers’ safety perception. Risk-taking drivers tends to drive at a higher speed, which increases the likelihood of severe crashes. However, the variations in speed and other driving performance lead to the error in the utility function more profound. This violates the assumption of identical error distributions between different crash severity outcomes. In this paper, we propose a multinomial multiplicative (MNM) model, as an alternative for crash severity model. There are two possible formulations for the proposed MNM model: (1) Weibull and (2) Fréchet, according to the distributions of random propensities and subject to the signs of the systematic parts of the regression equation. The two heavy-tailed distributions can capture the effect of unobserved contributory factors on crash injury severity. Additionally, the MNM model can incorporate the effects of the non-identical, heavy-tailed, and asymmetric properties of the distribution, whereas the conventional MNL model cannot. Several operational considerations are also attempted in this study, including the specifications of the systematic parts and the interpretations of the parameters. The MNM model is further extended to the mixed MNM (MMNM) model by considering unobserved heterogeneities using random coefficients, while the mixed MNL (MMNL) model is used as the benchmark model. The proposed MMNM model is calibrated using the crash dataset obtained from the Guangdong Province, China. Results indicated that the proposed MMNM model outperformed the MMNL model in this case. Also, the results of parameter estimates are indicative to impact factors on crash severity as well as the design and implementation of policies. This justified the use of MMNM model as an alternative for crash severity model in practice. This is the first application of MMNM model in the traffic safety literature, it is worth exploring the application of other advanced multiplicative models for safety analysis in the future.

ACS Style

Dawei Li; Yuchen Song; N.N. Sze; Yanyan Li; Tomio Miwa; Toshiyuki Yamamoto. An alternative closed-form crash severity model with the non-identical, heavy-tailed, and asymmetric properties. Accident Analysis & Prevention 2021, 158, 106192 .

AMA Style

Dawei Li, Yuchen Song, N.N. Sze, Yanyan Li, Tomio Miwa, Toshiyuki Yamamoto. An alternative closed-form crash severity model with the non-identical, heavy-tailed, and asymmetric properties. Accident Analysis & Prevention. 2021; 158 ():106192.

Chicago/Turabian Style

Dawei Li; Yuchen Song; N.N. Sze; Yanyan Li; Tomio Miwa; Toshiyuki Yamamoto. 2021. "An alternative closed-form crash severity model with the non-identical, heavy-tailed, and asymmetric properties." Accident Analysis & Prevention 158, no. : 106192.

Journal article
Published: 16 October 2020 in Journal of Safety Research
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Introduction: This study aims to explore the influence of Big Five personality traits in combination with various socio-demographic factors and experiences of accident involvement on aberrant driving behaviors. The study also compares the effects of the level of development (i.e., developed or developing) of three countries on the personality traits and driving behaviors. Method: The four-factor Driver Behavior Questionnaire was used to collect data on aberrant driving behaviors, while a short version of the 10-item Big Five Inventory was used to collect data on personality traits. Responses were collected from Japan (1,250 responses), China (1,250), and Vietnam (1,000). A latent variable model was applied after controlling data in each category (e.g., age). Results: This study revealed that respondents who experienced accidents in the past and scored higher on Agreeableness were less likely to commit aggressive violations in Japan, China, and Vietnam. Further, Japanese and Vietnamese female drivers who scored high on Conscientiousness were found to be less likely to commit ordinary violations. Neuroticism was positively correlated with aggressive violations only in the case of Vietnamese drivers, irrespective of the history of accident involvement. Conclusions: Drivers with particular personality types that are linked with aberrant driving behavior may need to receive additional training on behavior management. Practical Applications: This study may help road traffic policymakers predict future driving behaviors of Vietnamese and Chinese drivers based on those of Chinese and Japanese drivers, respectively, and act accordingly.

ACS Style

Blawal Hussain; Hitomi Sato; Tomio Miwa; Takayuki Morikawa. Influence of personality traits on aberrant driving behaviors: A comparison of Japanese, Chinese, and Vietnamese drivers. Journal of Safety Research 2020, 75, 178 -188.

AMA Style

Blawal Hussain, Hitomi Sato, Tomio Miwa, Takayuki Morikawa. Influence of personality traits on aberrant driving behaviors: A comparison of Japanese, Chinese, and Vietnamese drivers. Journal of Safety Research. 2020; 75 ():178-188.

Chicago/Turabian Style

Blawal Hussain; Hitomi Sato; Tomio Miwa; Takayuki Morikawa. 2020. "Influence of personality traits on aberrant driving behaviors: A comparison of Japanese, Chinese, and Vietnamese drivers." Journal of Safety Research 75, no. : 178-188.

Review
Published: 14 August 2020 in Sensors
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The increasingly wide usage of smart infrastructure and location-aware terminals has helped increase the availability of trajectory data with rich spatiotemporal information. The development of data mining and analysis methods has allowed researchers to use these trajectory datasets to identify urban reality (e.g., citizens’ collective behavior) in order to solve urban problems in transportation, environment, public security, etc. However, existing studies in this field have been relatively isolated, and an integrated and comprehensive review is lacking the problems that have been tackled, methods that have been tested, and services that have been generated from existing research. In this paper, we first discuss the relationships among the prevailing trajectory mining methods and then, classify the applications of trajectory data into three major groups: social dynamics, traffic dynamics, and operational dynamics. Finally, we briefly discuss the services that can be developed from studies in this field. Practical implications are also delivered for participants in trajectory data mining. With a focus on relevance and association, our review is aimed at inspiring researchers to identify gaps among tested methods and guiding data analysts and planners to select the most suitable methods for specific problems.

ACS Style

Di Wang; Tomio Miwa; Takayuki Morikawa. Big Trajectory Data Mining: A Survey of Methods, Applications, and Services. Sensors 2020, 20, 4571 .

AMA Style

Di Wang, Tomio Miwa, Takayuki Morikawa. Big Trajectory Data Mining: A Survey of Methods, Applications, and Services. Sensors. 2020; 20 (16):4571.

Chicago/Turabian Style

Di Wang; Tomio Miwa; Takayuki Morikawa. 2020. "Big Trajectory Data Mining: A Survey of Methods, Applications, and Services." Sensors 20, no. 16: 4571.

Journal article
Published: 11 August 2020 in Asian Transport Studies
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The transit-induced residential gentrification caused by two urban rail transit lines in Nagoya, Japan is investigated individually. The difference-in-differences model, a quasi-experimental model, is used to explore the possible causal relationship between rail investments and residential gentrification. Two rail transit lines, which consist of subway and elevated railways, began operation in the same year and during a period of economic downturn. Investigations reveal that these rail transit lines located in different areas have achieved their own geographic scales of influence. Furthermore, the results show that the rail transit line located at the center of Nagoya causes a significant change in the household income of nearby neighborhoods, while evidence of transit-induced residential gentrification is not found for the suburb of Nagoya.

ACS Style

Lisha Wang; Meilan Jiang; Tomio Miwa; Eleni Bardaka; Takayuki Morikawa. Preliminary study on transit-induced residential gentrification in Nagoya, Japan. Asian Transport Studies 2020, 6, 100022 .

AMA Style

Lisha Wang, Meilan Jiang, Tomio Miwa, Eleni Bardaka, Takayuki Morikawa. Preliminary study on transit-induced residential gentrification in Nagoya, Japan. Asian Transport Studies. 2020; 6 ():100022.

Chicago/Turabian Style

Lisha Wang; Meilan Jiang; Tomio Miwa; Eleni Bardaka; Takayuki Morikawa. 2020. "Preliminary study on transit-induced residential gentrification in Nagoya, Japan." Asian Transport Studies 6, no. : 100022.

Journal article
Published: 06 August 2020 in Sustainability
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The limitation of battery size for electric vehicles has driven researchers to study driving distance. Trip patterns and traveler preferences in terms of distance are affected by multiple variables. This study, using socioeconomics, weather conditions, and vehicle characteristics as covariates, compares lognormal, log-logistic, and Weibull distribution assumptions on daily car travel distances with a parametric hazard model for both pooled and panel regression. The results reveal that the log-logistic distribution performed best for both the pooled and panel models, and the inclusion of heterogeneity by the panel model improves the model. The results suggest that the travel distances achieved by people in Toyota City, Japan, is highly dependent on the weather conditions, specifically the precipitation and wind speed. Socioeconomic indicators, such as age and gender, and vehicle characteristics, such as engine size and vehicle price, also significantly affect the car travel distance.

ACS Style

Jiahang He; Toshiyuki Yamamoto; Tomio Miwa; Takayuki Morikawa. Hazard Duration Model with Panel Data for Daily Car Travel Distance: A Toyota City Case Study. Sustainability 2020, 12, 6331 .

AMA Style

Jiahang He, Toshiyuki Yamamoto, Tomio Miwa, Takayuki Morikawa. Hazard Duration Model with Panel Data for Daily Car Travel Distance: A Toyota City Case Study. Sustainability. 2020; 12 (16):6331.

Chicago/Turabian Style

Jiahang He; Toshiyuki Yamamoto; Tomio Miwa; Takayuki Morikawa. 2020. "Hazard Duration Model with Panel Data for Daily Car Travel Distance: A Toyota City Case Study." Sustainability 12, no. 16: 6331.

Journal article
Published: 22 May 2020 in Journal of Choice Modelling
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The aim of the study is to examine the potential effect of attitudes towards physical activity on bus utility in the context of a rural area where studies have shown that the level and opportunity for physical activity are generally low. The need to analyze attitudes remains a strong motivation for the application of integrated choice and latent variable models. As such, we integrated attitudes towards physical activity with two specific attitudes towards bus and car use in a binary logit mode choice model between car and bus, looking at the area of Asuke, Japan. As we found data separation due to highly unbalanced mode shares in the input data, the choice models were estimated with the likelihood function penalized. While only a few parameters were found to be significant, arguably as a result of the unbalanced mode share pattern, attitude variables were almost unaffected by the data separation phenomenon. Whereas maximum likelihood estimates do not exist in the presence of data separation, the employed penalized maximum likelihood estimator was demonstrated to be a solution to this problem. Thus, we suggest that checking for data separation in the case of highly unbalanced mode share patterns is important and if data separation exits, penalizing the likelihood functions can be a solution rather than excluding out some irrelevant variables to avoid data separation. Overall, we found that attitude towards physical activity had a significant effect on bus utility, suggesting that policymakers could use this factor to connect transport and health policies.

ACS Style

Yen Tran; Toshiyuki Yamamoto; Hitomi Sato; Tomio Miwa; Takayuki Morikawa. The analysis of influences of attitudes on mode choice under highly unbalanced mode share patterns. Journal of Choice Modelling 2020, 36, 100227 .

AMA Style

Yen Tran, Toshiyuki Yamamoto, Hitomi Sato, Tomio Miwa, Takayuki Morikawa. The analysis of influences of attitudes on mode choice under highly unbalanced mode share patterns. Journal of Choice Modelling. 2020; 36 ():100227.

Chicago/Turabian Style

Yen Tran; Toshiyuki Yamamoto; Hitomi Sato; Tomio Miwa; Takayuki Morikawa. 2020. "The analysis of influences of attitudes on mode choice under highly unbalanced mode share patterns." Journal of Choice Modelling 36, no. : 100227.

Journal article
Published: 03 April 2020 in IATSS Research
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This study examines the effect of people's attitudes toward physical activity on their bus use intention in rural areas in Japan. We utilized the theory of planned behavior and designated three variables—attitude toward bus use, subjective norms, and perceived behavioral control—as mediators for the hypothesized effect. Analysis results showed that attitude toward physical activity had a significant effect on bus use intention. For transport policy, this implies that improving attitudes toward physical activity can increase bus use and reduce physical inactivity, partly caused by car dependence. Results from a multiple-group analysis, for the hypothesized model, revealed that this finding is particularly valid for young people, car drivers, and people living within five minutes of the nearest bus stop. Finally, the effect of attitude toward physical activity on bus use intention is higher with the presence of mediators; these mediators help to increase the model's predictability for the variance of bus use intention from 8.6% to 64.4%.

ACS Style

Yen Tran; Toshiyuki Yamamoto; Hitomi Sato; Tomio Miwa; Takayuki Morikawa. Attitude toward physical activity as a determinant of bus use intention: A case study in Asuke, Japan. IATSS Research 2020, 44, 293 -299.

AMA Style

Yen Tran, Toshiyuki Yamamoto, Hitomi Sato, Tomio Miwa, Takayuki Morikawa. Attitude toward physical activity as a determinant of bus use intention: A case study in Asuke, Japan. IATSS Research. 2020; 44 (4):293-299.

Chicago/Turabian Style

Yen Tran; Toshiyuki Yamamoto; Hitomi Sato; Tomio Miwa; Takayuki Morikawa. 2020. "Attitude toward physical activity as a determinant of bus use intention: A case study in Asuke, Japan." IATSS Research 44, no. 4: 293-299.

Journal article
Published: 06 January 2020 in Transportation Research Part D: Transport and Environment
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Road transportation is one of the major sources of greenhouse gas emissions. To reduce energy consumption and alleviate this environmental problem, this study aims to develop an eco-routing algorithm for navigation systems. Considering that both fuel consumption and travel time are important factors when planning a trip, the proposed routing algorithm finds a path that consumes the minimum amount of gasoline while ensuring that the travel time satisfies a specified travel time budget and an on-time arrival probability. We first develop link-based fuel consumption models based on vehicle dynamics, and then the Lagrangian-relaxation-based heuristic approach is proposed to efficiently solve this NP-hard problem. The performance of the proposed eco-routing strategy is verified in a large-scale network with real travel time and fuel consumption data. Specifically, a sensitivity analysis of fuel consumption reduction for travel demand and travel time buffer is discussed in our simulation study.

ACS Style

Weiliang Zeng; Tomio Miwa; Takayuki Morikawa. Eco-routing problem considering fuel consumption and probabilistic travel time budget. Transportation Research Part D: Transport and Environment 2020, 78, 102219 .

AMA Style

Weiliang Zeng, Tomio Miwa, Takayuki Morikawa. Eco-routing problem considering fuel consumption and probabilistic travel time budget. Transportation Research Part D: Transport and Environment. 2020; 78 ():102219.

Chicago/Turabian Style

Weiliang Zeng; Tomio Miwa; Takayuki Morikawa. 2020. "Eco-routing problem considering fuel consumption and probabilistic travel time budget." Transportation Research Part D: Transport and Environment 78, no. : 102219.

Journal article
Published: 05 December 2019 in Sustainability
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This article focuses on understanding the factors affecting the subconscious minds of urban citizens in terms of promoting clean energy and deregulation of the electricity sector. Does risk perception related to climate change and nuclear energy effect their choices? Does it differ between cities? A comparative analysis was performed for four cities after the accident at the Tokyo Electric Power Corporation’s (TEPCO)’s Fukushima Daiichi Nuclear Power Plant in 2011. This article uses a modeling technique based on surveys gathered in 2012. The results show that nuclear risks had a larger influence than climate-change risks with regards to supporting the deregulation of the electricity sector in TEPCO-serviced cities. Meanwhile, in non TEPCO-serviced cities, nuclear risks were more influential when the proportion of nuclear within the energy mix of the local utility was large. When the proportion was low, climate-change risks had the larger influence. Meanwhile, results from all four cities show that there is indeed a positive causal relationship between citizens’ levels of awareness of climate change and energy savings.

ACS Style

Ryoko Nakano; Tomio Miwa; Takayuki Morikawa. Factors Promoting Clean Energy in Japanese Cities: Nuclear Risks Versus Climate Change Risks. Sustainability 2019, 11, 6918 .

AMA Style

Ryoko Nakano, Tomio Miwa, Takayuki Morikawa. Factors Promoting Clean Energy in Japanese Cities: Nuclear Risks Versus Climate Change Risks. Sustainability. 2019; 11 (24):6918.

Chicago/Turabian Style

Ryoko Nakano; Tomio Miwa; Takayuki Morikawa. 2019. "Factors Promoting Clean Energy in Japanese Cities: Nuclear Risks Versus Climate Change Risks." Sustainability 11, no. 24: 6918.

Journal article
Published: 23 April 2019 in Transportation Research Part C: Emerging Technologies
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Dynamic shared autonomous taxi (SAT) systems are regarded as a promising means of improving travel flexibility. With no human drivers, SATs urgently require precise traffic information in order to plan accurate paths independently; in addition, on-time arrival is an essential service quality in SAT systems. In this study, taxis are assumed to be replaced with ride-sharing autonomous vehicles. To improve the probability of on-time arrival, the reliable path concept and collected travel time information are used to facilitate path finding for SATs, and the potential benefits are examined. Two simulation scenarios—one based on historical traffic information and the other based on real-time traffic information—are executed to evaluate the information’s usefulness in reliable path finding. In simulation results, reliable path scenarios showed a higher on-time arrival ratio than shortest path scenarios, in which the shortest path algorithm is used in path finding for SATs, and the historical information-based scenarios showed a higher on-time arrival ratio than the real-time information-based scenarios. A system-beneficial path finding method is proposed and is verified to be effective for mitigating road network congestion.

ACS Style

Zhiguang Liu; Tomio Miwa; Weiliang Zeng; Michael G.H. Bell; Takayuki Morikawa. Dynamic shared autonomous taxi system considering on-time arrival reliability. Transportation Research Part C: Emerging Technologies 2019, 103, 281 -297.

AMA Style

Zhiguang Liu, Tomio Miwa, Weiliang Zeng, Michael G.H. Bell, Takayuki Morikawa. Dynamic shared autonomous taxi system considering on-time arrival reliability. Transportation Research Part C: Emerging Technologies. 2019; 103 ():281-297.

Chicago/Turabian Style

Zhiguang Liu; Tomio Miwa; Weiliang Zeng; Michael G.H. Bell; Takayuki Morikawa. 2019. "Dynamic shared autonomous taxi system considering on-time arrival reliability." Transportation Research Part C: Emerging Technologies 103, no. : 281-297.

Journal article
Published: 14 January 2019 in Sustainability
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This paper investigates the factors affecting drivers’ vehicle fuel consumption efficiency, which was defined as the daily average fuel consumption for a unit of driving mileage. Based on the long-term Controller Area Network (CAN) data collected from private cars during 10 months in Toyota City, Japan, we explored the relationships between drivers’ fuel consumption efficiencies, and factors including drivers’ characteristics, car attributes, date-specific environmental attributes, and travel behavior. Furthermore, a multi-level model was applied to explicitly incorporate the effects of individual-specific, date-specific, and observation-specific unobserved factors. According to the estimation results, it was found that, on working days, model fit was significantly enhanced by incorporating all three error terms. Several findings regarding the relationships between observed factors and drivers’ fuel consumption efficiencies were also obtained.

ACS Style

Dawei Li; Cheng Li; Tomio Miwa; Takayuki Morikawa. An Exploration of Factors Affecting Drivers’ Daily Fuel Consumption Efficiencies Considering Multi-Level Random Effects. Sustainability 2019, 11, 393 .

AMA Style

Dawei Li, Cheng Li, Tomio Miwa, Takayuki Morikawa. An Exploration of Factors Affecting Drivers’ Daily Fuel Consumption Efficiencies Considering Multi-Level Random Effects. Sustainability. 2019; 11 (2):393.

Chicago/Turabian Style

Dawei Li; Cheng Li; Tomio Miwa; Takayuki Morikawa. 2019. "An Exploration of Factors Affecting Drivers’ Daily Fuel Consumption Efficiencies Considering Multi-Level Random Effects." Sustainability 11, no. 2: 393.

Journal article
Published: 07 January 2019 in Sustainability
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Population decline is a pressing issue facing Japan and other developed countries. Local governments in Japan are seeking solutions to insure they meet the daily travel demands of the elderly. Although subsidy for local bus companies is a highly practical policy, a careful investigation to determine its reasonable level is required. This paper investigates the option price of local bus services, that is, the willingness of residents to pay to maintain the services and attempts to gain insights on a reasonable level of subsidy for local bus companies. A comparative analysis among age groups and different city size groups was made. The result showed that elderly residents show a higher option price value than younger and middle-age residents.

ACS Style

Xun Zheng; Tomio Miwa. A Comparative Analysis on Residents’ Reservation Willingness for Bus Service Based on Option Price. Sustainability 2019, 11, 260 .

AMA Style

Xun Zheng, Tomio Miwa. A Comparative Analysis on Residents’ Reservation Willingness for Bus Service Based on Option Price. Sustainability. 2019; 11 (1):260.

Chicago/Turabian Style

Xun Zheng; Tomio Miwa. 2019. "A Comparative Analysis on Residents’ Reservation Willingness for Bus Service Based on Option Price." Sustainability 11, no. 1: 260.

Research article
Published: 04 December 2018 in IET Intelligent Transport Systems
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This study explores the effects of origin–destination (O–D) attributes on route choice with long-term GPS data collected by private vehicles in Toyota city, Japan. The non-linear fixed effects are captured by the piecewise specified structural tastes on costs in the utility functions. The multi-level random effects are captured by the multi-level random terms. This empirical analysis demonstrates that the incorporation of O–D attributes can enhance the route choice models significantly. The effects of both O–D distance and drivers’ familiarity with the O–D on route utilities are proved to be non-linear and non-monotonic. Besides the fixed effects, the multi-level random effects of OD attributes are also confirmed to be significant.

ACS Style

Dawei Li; Tomio Miwa; Chengcheng Xu; Zhibin Li. Non‐linear fixed and multi‐level random effects of origin–destination specific attributes on route choice behaviour. IET Intelligent Transport Systems 2018, 13, 654 -660.

AMA Style

Dawei Li, Tomio Miwa, Chengcheng Xu, Zhibin Li. Non‐linear fixed and multi‐level random effects of origin–destination specific attributes on route choice behaviour. IET Intelligent Transport Systems. 2018; 13 (4):654-660.

Chicago/Turabian Style

Dawei Li; Tomio Miwa; Chengcheng Xu; Zhibin Li. 2018. "Non‐linear fixed and multi‐level random effects of origin–destination specific attributes on route choice behaviour." IET Intelligent Transport Systems 13, no. 4: 654-660.

Original paper
Published: 11 November 2018 in Clean Technologies and Environmental Policy
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A public transport (PT) system that is a low-carbon transport option is vital for sustainable urban development. However, introducing this type of system in developing cities may be a challenge given residents’ common practice of using private vehicles, especially motorcycles, for transportation. Taking Ho Chi Minh City as an example, this study aims to enhance understanding of preferences for PT. A dataset of 591 motorcycle users about their responses to the planned PT system was analyzed, considering their heterogeneity. The usage frequencies of PT were treated as an indicator of preference. The potential customers were classified into latent classes based on the assumption that there are differences in the factors that influence specific groups. A latent class choice model including two components of class assignment and utility functions was estimated to explain the preferences. Two latent classes were identified: the “collectivistic” class (69.5% of sample) and the “individualistic” class (30.5% of sample). The correlation between preferences for the current bus system and the new PT was captured within each class. The positive roles of social interaction and agreement with PT projects were observed in the “collectivistic” class, while the positive role of distance to work and negative role of dissatisfaction with service were found in the “individualistic” class. Comfort significantly impacted both classes, but the “collectivistic” class responded in a more positive way. The results suggest that differential marketing strategies should be developed to encourage users with different characteristics to make the change to PT.

ACS Style

Ngoc T. Nguyen; Tomio Miwa; Takayuki Morikawa. Response to the planned public transport system in Ho Chi Minh City: analysis of latent classes. Clean Technologies and Environmental Policy 2018, 21, 1925 -1935.

AMA Style

Ngoc T. Nguyen, Tomio Miwa, Takayuki Morikawa. Response to the planned public transport system in Ho Chi Minh City: analysis of latent classes. Clean Technologies and Environmental Policy. 2018; 21 (10):1925-1935.

Chicago/Turabian Style

Ngoc T. Nguyen; Tomio Miwa; Takayuki Morikawa. 2018. "Response to the planned public transport system in Ho Chi Minh City: analysis of latent classes." Clean Technologies and Environmental Policy 21, no. 10: 1925-1935.

Journal article
Published: 18 September 2018 in Case Studies on Transport Policy
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Urban congestion charging (CC) is regarded as a potentially powerful instrument aimed at changing road users’ travel behavior and achieving efficient infrastructure use. Yet, at the same time, implementing this policy is not easy. There are thoughtful barriers to the pursuit of the CC implementation. The public is skeptical about such a policy, so public rejection arises mainly among car users. The acceptability of a CC reflects public’s attitudes towards the scheme and public support is regarded as a prerequisite. Understanding this is crucial to any investigation of what might improve public acceptability. Given an absence of studies from the perspective of Asian megacities, a comprehensive stated choice (SC) survey is conducted in Jakarta, where CC scheme has been introduced and remain under consideration as a way to mitigate acute traffic congestion. A multiple-indicators multiple-causes (MIMIC) approach is applied to investigate causal paths among psychological determinants that representing public’s attitudes and their strength from a psychological perspectives. Statistical findings depict that a CC acceptance can be influenced and explained by individual’s psychological motivations such as perceived effectiveness and awareness of the proposed scheme. Psychological motivations including “awareness of the city’s environment” and “awareness of the problem of cars in society” appear to be the most important direct determinants leading to recognition of the effects of a CC scheme and they are indirect determinants of policy acceptance. Furthermore, the car-dependent society is seen as part of the problem in Jakarta, and people who are dependent on the car are more likely to understand that an effective policy is needed to address this problem. We found that people had explicitly mentioned “awareness of city’s environment” and “awareness of problem car in society” as the two most popular reasons for supporting the CC. Additionally, path analysis result on the effect of specific measure “trust in government policy” on the correct and acceptable policy has revealed a positive determinant. These indicate the important role of current government performance for achieving acceptability for CC proposal. Public marketing campaigns to promote CC are strongly recommended to focus on providing the public with credible and specific information related to perceived effectiveness and awareness (less congestion and a better environment).

ACS Style

Sugiarto Sugiarto; Tomio Miwa; Takayuki Morikawa. The tendency of public’s attitudes to evaluate urban congestion charging policy in Asian megacity perspective: Case a study in Jakarta, Indonesia. Case Studies on Transport Policy 2018, 8, 143 -152.

AMA Style

Sugiarto Sugiarto, Tomio Miwa, Takayuki Morikawa. The tendency of public’s attitudes to evaluate urban congestion charging policy in Asian megacity perspective: Case a study in Jakarta, Indonesia. Case Studies on Transport Policy. 2018; 8 (1):143-152.

Chicago/Turabian Style

Sugiarto Sugiarto; Tomio Miwa; Takayuki Morikawa. 2018. "The tendency of public’s attitudes to evaluate urban congestion charging policy in Asian megacity perspective: Case a study in Jakarta, Indonesia." Case Studies on Transport Policy 8, no. 1: 143-152.

Research article
Published: 08 August 2018 in Journal of Advanced Transportation
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Shared autonomous taxi systems (SATS) are being regarded as a promising means of improving travel flexibility. Each shared autonomous taxi (SAT) requires very precise traffic information to independently and accurately select its route. In this study, taxis were replaced with ride-sharing autonomous vehicles, and the potential benefits of utilizing collected travel-time information for path finding in the new taxi system examined. Specifically, four categories of available SATs for every taxi request were considered: currently empty, expected-empty, currently sharable, and expected-sharable. Two simulation scenarios—one based on historical traffic information and the other based on real-time traffic information—were developed to examine the performance of information use in a SATS. Interestingly, in the historical traffic information-based scenario, the mean travel time for taxi requests and private vehicle users decreased significantly in the first several simulation days and then remained stable as the number of simulation days increased. Conversely, in the real-time information-based scenario, the mean travel time was constant. As the SAT fleet size increased, the total travel time for taxi requests significantly decreased, and convergence occurred earlier in the historical information-based scenario. The results demonstrate that historical traffic information is better than real-time traffic information for path finding in SATS.

ACS Style

Zhiguang Liu; Tomio Miwa; Weiliang Zeng; Michael G. H. Bell; Takayuki Morikawa. Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information. Journal of Advanced Transportation 2018, 2018, 1 -13.

AMA Style

Zhiguang Liu, Tomio Miwa, Weiliang Zeng, Michael G. H. Bell, Takayuki Morikawa. Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information. Journal of Advanced Transportation. 2018; 2018 ():1-13.

Chicago/Turabian Style

Zhiguang Liu; Tomio Miwa; Weiliang Zeng; Michael G. H. Bell; Takayuki Morikawa. 2018. "Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information." Journal of Advanced Transportation 2018, no. : 1-13.

Journal article
Published: 11 July 2018 in Sustainability
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This paper focuses on understanding the difference between East and West Japan with respect to citizens’ subjective views on renewable energy. A comparative analysis was performed for cities in the east and west because renewable energy is a natural resource unique to each location and suitable for a distributed energy network operated under the autonomy of the local community. This paper indicates that the social acceptance of renewable energy and willingness to pay in East Japan is affected by the citizens’ strong concerns about the global environment and willingness to participate in policy-making, while the support of the deregulation of the retail electricity market and development of a distributed power system is more relevant in West Japan.

ACS Style

Ryoko Nakano; Tomio Miwa; Takayuki Morikawa. Comparative Analysis on Citizen’s Subjective Responses Related to Their Willingness to Pay for Renewable Energy in Japan Using Latent Variables. Sustainability 2018, 10, 2423 .

AMA Style

Ryoko Nakano, Tomio Miwa, Takayuki Morikawa. Comparative Analysis on Citizen’s Subjective Responses Related to Their Willingness to Pay for Renewable Energy in Japan Using Latent Variables. Sustainability. 2018; 10 (7):2423.

Chicago/Turabian Style

Ryoko Nakano; Tomio Miwa; Takayuki Morikawa. 2018. "Comparative Analysis on Citizen’s Subjective Responses Related to Their Willingness to Pay for Renewable Energy in Japan Using Latent Variables." Sustainability 10, no. 7: 2423.

Journal article
Published: 01 April 2018 in Journal of Transport Geography
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ACS Style

Cristian Toşa; Hitomi Sato; Takayuki Morikawa; Tomio Miwa. Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania. Journal of Transport Geography 2018, 68, 78 -93.

AMA Style

Cristian Toşa, Hitomi Sato, Takayuki Morikawa, Tomio Miwa. Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania. Journal of Transport Geography. 2018; 68 ():78-93.

Chicago/Turabian Style

Cristian Toşa; Hitomi Sato; Takayuki Morikawa; Tomio Miwa. 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania." Journal of Transport Geography 68, no. : 78-93.

Journal article
Published: 05 January 2018 in Journal of Transport and Land Use
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This paper concentrates explicitly on examining the structural and functional transformations occurring within the metropolitan area of Bucharest, resulting from sustained economic growth during the past quarter century, by conducting a time analysis, spanning the entire period since the fall of the communist regime in late 1989. Cities in developed countries of Western Europe and Asia experienced rapid economic growth during the second half of the 20th century and exhibited novel patterns of evolution in terms of urban form and associated functional characteristics. Lately, these patterns have become manifest in Bucharest as well. However, transformations in human, social, residential, and transportation supply capital are difficult to observe directly. Hence, our methodology concentrates on studying interactions between several proxies connected to economic development within the metropolitan area of Bucharest. This paper should be read as an exploratory study that buttresses the assumption that improved economic well-being, when accompanied by the transition between a centrally planned economy to a market economy, increases motorization rates, while at the same time triggering a sharp decline in the use of public transport and contributing to aggressive urban sprawl processes. Moreover, hopefully it will guide future research dedicated to forecasting urban expansion paths and their determinants. Hopefully, it also informs policy design intended to promote sustainable urban mobility and accessibility.

ACS Style

Cristian Tosa; Andrei Mitrea; Hitomi Sato; Tomio Miwa; Takayuki Morikawa. Economic growth and urban metamorphosis: A quarter century of transformations within the metropolitan area of Bucharest. Journal of Transport and Land Use 2018, 11, 1 .

AMA Style

Cristian Tosa, Andrei Mitrea, Hitomi Sato, Tomio Miwa, Takayuki Morikawa. Economic growth and urban metamorphosis: A quarter century of transformations within the metropolitan area of Bucharest. Journal of Transport and Land Use. 2018; 11 (1):1.

Chicago/Turabian Style

Cristian Tosa; Andrei Mitrea; Hitomi Sato; Tomio Miwa; Takayuki Morikawa. 2018. "Economic growth and urban metamorphosis: A quarter century of transformations within the metropolitan area of Bucharest." Journal of Transport and Land Use 11, no. 1: 1.

Journal article
Published: 01 December 2017 in Transportation Research Part D: Transport and Environment
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ACS Style

Weiliang Zeng; Tomio Miwa; Takayuki Morikawa. Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint. Transportation Research Part D: Transport and Environment 2017, 57, 458 -473.

AMA Style

Weiliang Zeng, Tomio Miwa, Takayuki Morikawa. Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint. Transportation Research Part D: Transport and Environment. 2017; 57 ():458-473.

Chicago/Turabian Style

Weiliang Zeng; Tomio Miwa; Takayuki Morikawa. 2017. "Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint." Transportation Research Part D: Transport and Environment 57, no. : 458-473.