Directory of Researchers

SEYA Hajime
Graduate School of Engineering / Department of Civil Engineering
Associate Professor
Civil Engineering / Architecutre and planning / Building Engineering
Last Updated :2022/10/04

Researcher Profile and Settings

Affiliation

  • <Faculty / Graduate School / Others>

    Graduate School of Engineering / Department of Civil Engineering
  • <Related Faculty / Graduate School / Others>

    Faculty of Engineering / Department of Civil Engineering

Teaching

Research Activities

Research Areas

  • Social infrastructure (civil Engineering, architecture, disaster prevention) / Civil engineering (planning and transportation)

Published Papers

  • Yamamoto, Hiromichi, Koike, Atsushi, Seya, Hajime

    In the Computable Urban Economic (CUE) Model, one land-use transport interaction (LUTI) model, improving the accuracy of the Location Choice Model is important to evaluate the effects of introducing urban transportation policies. However, our previous study revealed that the substantiation of the indirect utility function by a linear expenditure system has not been verified and that location choice behaviors estimated using the logit model depends on the adjustment factor. Therefore, in this study, we first examined the logical meaning of the utility function by a linear expenditure system, and then focused on identifying major constituent factors of the adjustment factor and statistically verified the adjustment factor and urban amenities. As a result, we have identified the following facts: that the conventional indirect utility function may underestimate the effect of introducing urban transportation policies; that if effects are estimated using WLS after adding housing supply factors to the indirect utility function, the estimation accuracy will be improved; and that the major constituent factors of the adjustment factor are those expressing local characteristics of cities and wards.

    ELSEVIER SCIENCE BV, Apr. 2019, JOURNAL OF URBAN MANAGEMENT, 8 (1), 89 - 108, English

    [Refereed]

    Scientific journal

  • Spatially filtered unconditional quantile regression: Application to a hedonic analysis

    Daisuke Murakami, Hajime Seya

    2019, Environmetrics, English

    [Refereed]

    Scientific journal

  • Parameter estimation of the spatial panel stochastic frontier model with random effects

    Hajime Seya

    2019, Applied Economics Letters, English

    [Refereed]

    Scientific journal

  • 大規模小売店舗の出店が既存小売店舗の撤退及び売上げに与えた影響

    SEYA HAJIME, 泊 将史, 力石 真

    2018, 土木学会論文集D3 (土木計画学), Japanese

    [Refereed]

    Scientific journal

  • 社会的相互作用に着目したエビデンスベース研究の展開と土木計画への応用可能性

    力石 真, SEYA HAJIME, 福田 大輔

    2018, 土木学会論文集D3 (土木計画学), Japanese

    [Refereed]

    Scientific journal

  • Study on the substantiation of location equilibrium in the CUE Model

    Hiromichi Yamamoto, Atsushi Koike, Hajime Seya

    2018, Journal of Urban Management, English

    [Refereed]

    Scientific journal

  • Decisions on truck parking place and time on expressways: An analysis using digital tachograph data

    Hajime Seya, Junyi Zhang, Makoto Chikaraishi, Ying Jiang

    2018, Transportation, English

    [Refereed]

    Scientific journal

  • Elderly's heterogeneous responses to topographical factors in travel mode choice within a hilly neighborhood: An analysis based on combined GPS and paper-based surveys

    Thi Anh Hong Nguyen, Makoto Chikaraishi, Hajime Seya, Akimasa Fujiwara, Junyi Zhang

    Because of the decline of physical abilities of the elderly, their mobility is more vulnerable to topographical factors than younger population groups. However, topographical factors have been neglected in studies on travel behavior, and elderly people's heterogeneous responses to topographical factors remain unknown. To fill this research gap, this study focuses on a hilly neighborhood called Koyo Newtown in Hiroshima City, Japan, where a multi-period (two waves) and multi-day (two weeks) panel survey was conducted in 2010 and 2011. The survey consisted of a GPS survey and a paper-based travel diary survey. In addition, a travel mode choice model is developed based on a panel mixed logit model. Heterogeneities are captured by introducing random effects to parameters of topographical factors, which are measured in terms of altitude difference, intensity of up/down movement, maximum slope, and changing slope. Furthermore, effects of introducing personal mobility vehicles (PM) to mitigate negative impacts of topographical factors are also evaluated. As a result, it is found that the altitude difference and maximum slope factors have significant impacts on mode choice decisions. The effectiveness of PM to support the mobility of elderly residents is also confirmed.

    EDITORIAL BOARD EJTIR, May 2017, EUROPEAN JOURNAL OF TRANSPORT AND INFRASTRUCTURE RESEARCH, 17 (3), 411 - 424, English

    [Refereed]

    Scientific journal

  • Daisuke Murakami, Takahiro Yoshida, Hajime Seya, Daniel A. Griffith, Yoshiki Yamagata

    This study develops a spatially varying coefficient model by extending the random effects eigenvector spatial filtering model. The developed model has the following properties: its spatially varying coefficients are defined by a linear combination of the eigenvectors describing the Moran coefficient; each of its coefficients can have a different degree of spatial smoothness; and it yields a variant of a Bayesian spatially varying coefficient model. Moreover, parameter estimation of the model can be executed with a relatively small computational burden. Results of a Monte Carlo simulation reveal that our model outperforms a conventional eigenvector spatial filtering (ESF) model and geographically weighted regression (GWR) models in terms of the accuracy of the coefficient estimates and computational time. We empirically apply our model to the hedonic land price analysis of flood hazards in Japan. (C) 2016 Elsevier B.V. All rights reserved.

    ELSEVIER SCI LTD, Feb. 2017, SPATIAL STATISTICS, 19, English

    [Refereed]

    Scientific journal

  • Ying Jiang, Junyi Zhang, Makoto Chikaraishi, Hajime Seya, Akimasa Fujiwara

    This study investigates Japanese drivers' over-speeding violation behaviors on expressways captured by a GPS-enabled smart phone App, called Safety Supporter and designed by the authors, with functions of both second-by-second safety diagnosis and traffic warning information provision as well as advices about safer driving. The research purpose is to clarify the effects of the App on safety improvements based on data from a three-month field experiment in 2014, where a series of questionnaire surveys were conducted. For the research purpose, a zero-inflated negative binomial regression model is adopted to represent over-speeding violation behaviors. As a result, drivers' heterogeneous responses to the App functions are confirmed with a focus on the role of driving safety change stages and the results highlight the importance of individualized safety measures. (C) 2017 The Authors. Published by Elsevier B.V.

    ELSEVIER SCIENCE BV, 2017, WORLD CONFERENCE ON TRANSPORT RESEARCH - WCTR 2016, 25, 1820 - 1828, English

    [Refereed]

    International conference proceedings

  • 交通サービス水準と活動機会の関連性分析-行動データに基づく活動機会の計測-

    薦田 悟, 四辻 裕文, SEYA HAJIME, 喜多 秀行

    2017, 土木学会論文集D3(土木計画学), Japanese

    [Refereed]

    Scientific journal

  • Influences of tour complexity and trip flexibility on stated commuting mode: A case of mass rapid transit in Ho Chi Minh City

    Ngoc An Huynh, Makoto Chikaraishi, Akimasa Fujiwara, SEYA HAJIME, Junyi Zhang

    2017, Asian Transport Studies, English

    [Refereed]

    Scientific journal

  • Yoshiki Yamagata, Daisuke Murakami, Takahiro Yoshida, Hajime Seya, Sho Kuroda

    This paper attempts to assess the value of urban views in a bay city (Yokohama), Japan. Firstly, three types of views, open view (goodness of visibility), green view (visibility of open space), and ocean view (visibility of ocean), were quantified employing the viewshed analysis implemented on the GIS with airborne LiDAR data and 0.5 m x 0.5 m high resolution aerial photos. Secondly, hedonic analyses were conducted to test the capitalization of value of those views into condominium prices using the spatial multilevel additive regression (SMAR) model, where possible non-linearity, multilevel structure of condominiums (unit building), and spatial dependence were considered. This study implies that "very nice" open view (in terms of the amount of visibility) and ocean view may have a positive premium, whereas "slightly nice" open and ocean views may not. Also, a "moderate amount" of green view may raise condominium prices, but "poor" and "too much" green view may reduce condominium prices. These results indicate that the effects of views are indeed non-linear, and therefore it may be misleading to interpret the results obtained by linear models as existing studies have done. (C) 2016 Elsevier B.V. All rights reserved.

    ELSEVIER SCIENCE BV, Jul. 2016, LANDSCAPE AND URBAN PLANNING, 151, 89 - 102, English

    [Refereed]

    Scientific journal

  • Hajime Seya, Takahiro Yoshida, Morito Tsutsumi

    This study proposes an approach for ex-post identification of the geographical extent of an area benefiting from a transportation project, using functional data analysis methods. Our approach focuses on real estate (land) price data for the ex-post spatial evaluation. First, we prepare a panel of land prices observed before, during, and after the project in the areas that are potentially impacted. Second, using functional data analysis, movements of land prices in each observed site during the target period are approximated by continuous functions. Third, using the functional ordinary Kriging technique, the functions for land price movements in each micro district are spatially predicted. Lastly, by employing the functional clustering (functional K-means) technique, potential areas of benefit may be identified. Different from exiting before-and-after methods, including difference-in-differences method, the proposed procedure based on functional data analysis can describe a map with a complex spatial distribution pattern of benefit rather than using distance bands (ring buffer) from transportation cores, such as railway stations, bus stops, and highway interchanges. Then, the proposed procedure is empirically applied to a large-scale Japanese heavy railway project. The obtained result shows so-called redistributive effect, that is, land prices decrease around exiting stations and increase around new stations. In addition, interestingly enough, the spatial distribution pattern of the identified areas of benefit using this procedure are fairly similar to that of ex-ante predicted areas of benefit by the hedonic approach. Thus, capitalization is observationally confirmed with regard to accessibility improvement. (C) 2016 Elsevier Ltd. All rights reserved.

    ELSEVIER SCI LTD, Jul. 2016, JOURNAL OF TRANSPORT GEOGRAPHY, 55, 1 - 10, English

    [Refereed]

    Scientific journal

  • Hajime Seya, Kumiko Nakamichi, Yoshiki Yamagata

    Elsevier BV, Mar. 2016, Transportation Research Part A: Policy and Practice, 85, 123 - 134, English

    [Refereed]

    Scientific journal

  • David Perez Barbosa, Junyi Zhang, Hajime Seya

    MDPI AG, Feb. 2016, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 13 (2), English

    [Refereed]

    Scientific journal

  • Hajime Seya, Yoshiki Yamagata, Kumiko Nakamichi

    An assessment of residential CO2 emissions is typically performed through the intensity method, in which total energy consumption is estimated by multiplying floor space by intensity value. Although spatially detailed intensity data is required for an accurate estimation, the finer spatial resolution will result in a less stable estimated value due to the small sample size; hence, existing studies in Japan created intensity data at a regional or prefectural level. The objective of this study is to create municipality level intensity data via a statistical approach, using the household level micro data from the National Survey of Family Income and Expenditure, of the Ministry of Internal Affairs and Communications, Japan, by focusing on electricity. First, this study builds several (spatial) statistical models, where per household electricity expenditure is regressed on housing types (two categories), household types (seven categories), and other household specific variables. Second, by substituting averaged municipality level explanatory variables from official statistics into the model, it estimates municipality level intensity data. The obtained results suggest that conventional intensity data in Japan, created by the simple average of samples in each unit (prefecture), may suffer from an upward bias, suggesting a danger of overestimation of residential CO2 emissions. (C) 2015 Elsevier Ltd. All rights reserved.

    ELSEVIER SCI LTD, Jan. 2016, APPLIED ENERGY, 162, 1336 - 1344, English

    [Refereed]

    Scientific journal

  • Yoshiki Yamagata, Hajime Seya, Daisuke Murakami

    Springer International Publishing, 2016, Urban Resilience, 25 - 43

    [Refereed]

    In book

  • 非市場的相互作用を考慮した住宅地区住民の買物目的地選択行動のモデル分析

    力石 真, 西川 文人, SEYA HAJIME, 藤原 章正, 張 峻屹

    2016, 土木学会論文集D3(土木計画学), Japanese

    [Refereed]

    Scientific journal

  • Yoshiki Yamagata, Daisuke Murakami, Hajime Seya

    Elsevier BV, Nov. 2015, Applied Energy, 158, 255 - 262

    [Refereed]

    Scientific journal

  • Hajime Seya, Daisuke Murakami, Morito Tsutsumi, Yoshiki Yamagata

    Eigenvector-based spatial filtering is one of the often used approaches to model spatial autocorrelation among the observations or errors in a regression model. In this approach, a subset of eigenvectors extracted from a modified spatial weight matrix is added to the model as explanatory variables. The subset is typically specified via the selection procedure of the forward stepwise model, but it is disappointingly slow when the observations n take a large number. Hence, as a complement or alternative, the present article proposes the use of the least absolute shrinkage and selection operator (LASSO) to select the eigenvectors. The LASSO model selection procedure was applied to the well-known Boston housing data set and simulation data set, and its performance was compared with the stepwise procedure. The obtained results suggest that the LASSO procedure is fairly fast compared with the stepwise procedure, and can select eigenvectors effectively even if the data set is relatively large (n = 10(4)), to which the forward stepwise procedure is not easy to apply.

    WILEY, Jul. 2015, GEOGRAPHICAL ANALYSIS, 47 (3), 284 - 299, English

    [Refereed]

    Scientific journal

  • Yoshiki Yamagata, Daisuke Murakami, Hajime Seya

    OpenEdition, 31 Mar. 2015, Articulo, (14)

    [Refereed]

    Scientific journal

  • Yoshiki Yamagata, Hajime Seya

    Here, the authors propose the concept of a local electricity-sharing system as a complement or alternative to a feed-in tariff to achieve CO2-neutral transportation in cities. In the authors' proposed system, electricity generated from widely introduced solar photovoltaic panels (PVs) is stored in the cars 'not in use' in a city. In Japan, almost half of the cars in the central Tokyo metropolitan area are used only on weekends and thus are kept parked during weekdays. These cars represent a huge new potential storage depot if they were replaced by electric vehicles (EVs), that is, they could be used as storage batteries in a vehicle-to-grid system. Using an agent-based transportation simulator (MATSim), the authors modelled the effects of a large-scale introduction of EVs and PVs on the hourly regional power demand-supply for Yokohama city, Japan. The results of our simulation suggest that CO2-neutral EV trips can be achieved only during periods with current average solar irradiance.

    Institution of Engineering and Technology, 01 Feb. 2015, IET Intelligent Transport Systems, 9 (1), 38 - 49, English

    [Refereed]

    International conference proceedings

  • Daisuke Murakami, Yoshiki Yamagata, Hajime Seya

    Although city scale aggregate electricity demands are usually estimated by multiplying intensity data by floor space, in Japan there are few available sources for municipality level building stock (floor space) data. Hence in this study, we attempt to create municipality level building stock data using the techniques of spatial statistical downscaling. Firstly, this study compares predictive accuracy of several downscaling methods including both deterministic and statistical ones. The results support the use of statistical downscaling methods, which consider spatial autocorrelation or spatial heterogeneity. Secondly, it actually creates building stock data of Japan at municipality level (1803) in 2005 by downscaling prefectural level (49) data employing one of the spatial statistical downscaling methods. Thirdly, using the estimated building stock data, it empirically estimates electricity demand at municipality level. (C) 2015 The Authors. Published by Elsevier Ltd.

    ELSEVIER SCIENCE BV, 2015, CLEAN, EFFICIENT AND AFFORDABLE ENERGY FOR A SUSTAINABLE FUTURE, 75, 2751 - 2756, English

    [Refereed]

    International conference proceedings

  • Sachiho A. Adachi, Fuji Kimura, Hiroyuki Kusaka, Michael G. Duda, Yoshiki Yamagata, Hajime Seya, Kumiko Nakamichi, Toshinori Aoyagi

    This study investigated the moderation of the urban heat island via changes in the urban form in the Tokyo metropolitan area (TMA). Two urban scenarios with the same population as that of the current urban form were used for sensitivity experiments: the dispersed-city and compact-city scenarios. Numerical experiments using the two urban scenarios as well as an experiment using the current urban form were conducted using a regional climate model coupled with a single-layer urban canopy model. The averaged nighttime surface air temperature in TMA increased by similar to 0.34 degrees C in the dispersed-city scenario and decreased by similar to 0.1 degrees C in the compact-city scenario. Therefore, the compact-city scenario had significant potential for moderating the mean areal heat-island effect in the entire TMA. Alternatively, in the central part of the TMA, these two urban-form scenarios produced opposite effects on the surface air temperature; that is, severe thermal conditions worsened further in the compact-city scenario because of the denser population. This result suggests that the compact-city form is not always appropriate for moderation of the urban-heat-island effect. This scenario would need to combine with other mitigation strategies, such as the additional greening of urban areas, especially in the central area. This study suggests that it is important to design a plan to adapt to higher urban temperatures, which are likely to ensue from future global warming and the urban heat island, from several perspectives; that is, designs should take into account not only climatological aspects but also impacts on urban inhabitants.

    AMER METEOROLOGICAL SOC, Aug. 2014, JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 53 (8), 1886 - 1900, English

    [Refereed]

    Scientific journal

  • Hajime Seya, Morito Tsutsumi, Yoshiki Yamagata

    Recently, model averaging techniques have been employed widely in empirical investigations as an alternative to the conventional model selection procedure, a procedure criticized because it disregards a major component of uncertainty, namely, uncertainty regarding the model itself, and, thus, it leads to the underestimation of uncertainty regarding the quantities of interest. Bayesian model averaging (BMA) is one of the most popular model averaging techniques. Some studies indicate that BMA has cumbersome aspects. One of the major practical issues of using BMA is its substantial computational burden, which obstructs the process of obtaining exact estimates. A simulation method, such as Markov chain Monte Carlo (MCMC), is required to resolve this problem. Weighted-average least squares (WALS) estimation has been proposed as an alternative to BMA. The computational burden of WALS estimation is negligible; therefore, it does not require the MCMC method. Furthermore, WALS estimation has theoretical advantages over BMA estimation. This article presents two contributions to the WALS literature. First, it applies WALS to spatial lag/error models in order to consider spatial dependence. Se

    Wiley, Apr. 2014, Geographical Analysis, 46 (2), 126 - 147, English

    [Refereed]

    Scientific journal

  • Hajime Seya, Yoshiki Yamagata, Kumiko Nakamichi

    Studies have suggested the importance of implementing climate change mitigation and adaptation measures in combination with considering possible co-benefit and trade-off among them. However, quantification of such cobenefit/ trade-off at city level is still in its infancy. Accordingly, using a micro zone level spatial explicit land use model which we have developed, this study assesses the co-benefit/trade-off of mitigation measure (compact city policy) and adaptation measure (retreat from high flood hazard areas) from the view point of CO2 emissions and expected loss due to the damage by river floods. For the assessment of residential CO2 emissions, this paper utilizes the microdata of National survey of family income and expenditure. The results suggest the importance of careful planning to create compact city to avoid trade-off. This study was funded by "Research Program on Climate Change Adaptation (RECCA)" of the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.

    Elsevier Ltd, 2014, Energy Procedia, 61, 357 - 360, English

    [Refereed]

    International conference proceedings

  • Yoshiki Yamagata, Hajime Seya, Daisuke Murakami

    Spatially-fine data of gridded population of the world (GPW) is useful for various objective including energy demand modelling, climate modelling, urban mitigation/adaptation planning, among others. However, future projection of GPW is typically performed using fairly simple methods, and its validity is still unclear. This study first empirically compares the performances of several representative methods for GPW projection (forecasting), subsequently it performs scenario creations of Japanese residential electricity demand for 2050 using the population projections, derived using the models, multiplied by an intensity. This paper discusses the potential dangers of applying widely used constant-share method to the depopulation country like Japan, which include urban declining regions. (C) 2014 The Authors. Published by Elsevier Ltd.

    ELSEVIER SCIENCE BV, 2014, INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014, 61, 1446 - 1450, English

    [Refereed]

    International conference proceedings

  • Yoshiki Yamagata, Hajime Seya, Sho Kuroda

    In order to design energy resilient communities against disaster-driven blackout risks, this paper propose a new system to share photovoltaic (PV) generated green electricity using V2G technology, which we call vehicle to community (V2C) system. In this system, electricity generated from widely introduced solar photovoltaic panels (PVs) is stored in the "cars not in use" in a city. In Japan, almost half of the cars in the central Tokyo metropolitan area are used only on weekends and thus are kept parked during weekdays. These cars represent a huge new potential storage depot if they were replaced by electric vehicles (EVs), that is, they could be used as storage batteries in a V2G system to attain carbon neutral energy self-sufficient community. The results of our study showed that although the entire electricity surplus (PV supply minus demand) could be stored without waste if 12% of the EVs not in use were utilized as storage batteries at an aggregate (city) level in August (with maximum solar irradiance), there exist significant regional mismatches at the local district level. Hence, based on the geographical electricity surplus estimates, this paper develops a metaheuristic-based graph portioning spatial clustering algorithm to find optimal spatial clusters which minimizing local spatial discrepancies between electricity surplus and storage potential. (C) 2014 The Authors. Published by Elsevier Ltd.

    ELSEVIER SCIENCE BV, 2014, INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014, 61, 84 - 87, English

    [Refereed]

    International conference proceedings

  • Kumiko NAKAMICHI, Yoshiki YAMAGATA, Hajime SEYA

    After the Tohoku Earthquake, the concept of urban resilience has been discussed widely in Japan. Resilient cities cannot be realized without considering energy and natural disaster risks. In this paper several land-use scenarios are used for the Tokyo Metropolitan Area in 2050 using a land-use model considering these two aspects. These scenarios consider the co-benefits of [i] change of urban form (compact city), [ii] adaptation to flooding risks, and [iii] diffusion of electric vehicles (EVs) and solar photovoltaic (PV) panels. Also, in this paper the effects of emission factor change on direct/indirect CO2 emissions due to the shutdown of nuclear power plants after the earthquake are analyzed. The results suggest that the diffusion of PVs is more important in the non-nuclear world to reduce CO2 emissions, and that EVs still can contribute to CO2 emission reduction despite changes in emission factor. Also, compact urban form can effectively reduce CO2 emissions.

    Eastern Asia Society for Transportation Studies, Dec. 2013, Journal of the Eastern Asia Society for Transportation Studies (EASTS), Vol.10, 1025 - 1044, English

    [Refereed]

  • Yoshiki Yamagata, Hajime Seya, Kumiko Nakamichi

    Informa UK Limited, Sep. 2013, Annals of GIS, 19 (3), 153 - 168, English

    [Refereed]

    Scientific journal

  • Hajime Seya, Yoshiki Yamagata, Morito Tsutsumi

    The recent progress of spatial econometrics has developed a new technique called the "spatial hedonic approach," which considers the elements of spatial autocorrelation among property values and geographically distributed attributes. The practical difficulties in applying spatial econometric models include the specification of the spatial weight matrix (SWM), which affects the final analysis results. Some simulation studies suggest that information criteria such as AIC are useful for the SWM's selection, but if many model candidates exist (e.g., when the selections of explanatory variables are performed simultaneously), then the computational burden of calculating such criteria for each model is large. The present study develops an automatic model selection algorithm using the technique of reversible jump MCMC combined with simulated annealing termed trans-dimensional simulated annealing (TDSA). The performance of the TDSA algorithm is verified using the well-known Boston housing dataset, and it is applied empirically to a Japanese real estate dataset. The obtained results suggest a two-step strategy for model selection, with SWM (W) first, followed by the explanatory variables (X and WX), will result in local optima, and therefore these variables should be selected simultaneously. The TDSA algorithm can find the significant variables that are "hidden" because of multicollinearity in the unrestricted model, and can attain the minimum AIC automatically. © 2013 Elsevier B.V.

    May 2013, Regional Science and Urban Economics, 43 (3), 429 - 444, English

    [Refereed]

    Scientific journal

  • Geographically explicit direct/indirect CO2 emission scenarios for a compact city in 2050

    Kumiko NAKAMICHI, Hajime SEYA, Yoshiki YAMAGATA

    Feb. 2013, Proceeding of the 10th Symposium of the International Urban Planning and Environment Association (UPE10 Next City), 14 - 26, English

    [Refereed]

    International conference proceedings

  • Yoshiki Yamagata, Hajime Seya

    This paper extends our proposing (Yamagata and Seya 2012) concept of a community-based disaster resilient electricity sharing system (DRESS) as a complement or an alternative to the feed-in-tariff (FiT) to achieve CO 2 neutral in cities. In this system, electricity generated from widely introduced solar photovoltaic panels (PVs) is stored to the 'cars not in use' in a city. In the central part of the Tokyo metropolitan area, almost half of the cars is used only on weekends and are kept parking during the weekdays. Hence, there exists a huge new potential if those cars are replaced by electric vehicles (EVs) in the future, namely they may be used as new battery storages using vehicle to grid (V2G) at a community level. This study extends our previous paper. Firstly, by using actual ground areas of buildings, we estimate PVs supply potential more accurately. The result shows that the hourly electricity surplus (PV supply minus demand) can be fully stored without waste if 27% of the parking EVs are used as battery storage at the whole city level, although there exist significant spatial differences at local district level. Secondly, based on the geographical demand-supply estimates, we check the possibility of local electricity sharing by combing high and low storage potential districts to form electricity self-sufficient resilient communities. Finally, we analyze the optimal community clustering using Moran's I index. We show that the 40%, instead of 27%, is an optimal EV electricity sharing rate, if we consider the resilience against black-out risk. © 2013 IEEE.

    2013, Proceedings of the International Conference on Dependable Systems and Networks, English

    [Refereed]

    International conference proceedings

  • Yoshiki Yamagata, Hajime Seya

    Designing a future smart city (FSC) that copes with the reduction of CO2 has become one of the urgent tasks of the next 20years. One promising approach to achieve FSC is to combine appropriate land use (compact city with energy efficient buildings and photovoltaic panels (PVs)), transportation (electric vehicles (EVs) and public transportation system) and energy systems (smart grid systems), because of the interaction between these elements. However, there are few models which simulate these elements in an integrated manner. This paper presents the concept of the integrated model, and shows the land use-energy part of the model created for the Tokyo metropolitan area, which is the largest Mega city in the world. Firstly, a spatially explicit land use model (urban economic model) is constructed for the study area, and the model is calibrated using existing statistical data. Secondly, possible future compact/dispersion city scenarios for the year 2050 are created using the model. Thirdly, intra-day dynamics (hourly) of electricity demand and supply from PVs, which is assumed to be installed to the roofs of all detached houses in the study area, under two urban scenarios is simulated. The obtained results suggest that [1] "compact" urban form may contribute to the reduction of electricity demand from the residential sector, but [2] PV-supply under the scenario may also be reduced because of the decreased share of detached houses. Hence in the compact city scenario, it is important to discuss the effective use of vacant areas in suburbs, which may be used for large PV installations, or be re-vegetated to mitigate urban heat island effects. © 2013 Elsevier Ltd.

    Elsevier Ltd, 2013, Applied Energy, 112, 1466 - 1474, English

    [Refereed]

    Scientific journal

  • Kumiko NAKAMICHI, Yoshiki YAMAGATA, Hajime SEYA

    Japan Society of Civil Engineers, 2013, Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management), 69 (5), I_381 - I_389, Japanese

    [Refereed]

    Scientific journal

  • COMPUTABLE URBAN ECONOMIC MODELS: CURRENT ISSUES AND PERSPECTIVES

    山崎,清, 堤,盛人, 小池,淳司, 瀬谷,創

    The computable urban economic (CUE) model, which is completely based on microeconomic foundations, is an advanced form of the urban model that was developed from land-use transport-interaction models; further, theCUEmodel is both operational and practical. In recent times, theCUEmodel has been widely used as a tool for analyzing real urban economies and evaluating the implementation of urban polices in practice. In this paper, we discuss the current issues and perspectives of CUE models. First, the significance of the CUE models is reiterated by providing an overview of its prehistory and a description of their characteristics. Subsequently, the paper lists the current issues from the viewpoints of model construction, identification, and application as well as its practical applications and propagation. Finally, the paper presents important perspectives on the issues and discusses the directions for further theoretical developments.

    Japan Society of Civil Engineers, Nov. 2012, INFRASTRUCTURE PLANNING REVIEW, 68 (4), 344 - 357, Japanese

    [Refereed]

    Scientific journal

  • Hajime Seya, Morito Tsutsumi, Yoshiki Yamagata

    With the collapse of the bubble economy in the early 1990s, economic disparities among both people and regions have arisen in Japan. Although developments in spatial econometrics have provided regional convergence studies with highly effective tools to explicitly consider spatial dependence and heterogeneity, there has as yet been no significant research on Japan's economic disparity using spatial econometrics. Moreover, most conventional regional convergence studies on Japan study the post-war high economic growth period before the economic bubble.Hence, the objective of this study is to analyze regional income disparities in Japan in the period after the bubble burst. We use the Bayesian spatial Durbin model, which can consider both spatial dependence and heterogeneity. The data used in this research are annual data collected at the municipality level during 1989-2007. To the best of our knowledge, no research has been conducted to analyze Japan's regional income disparities at the municipality level, though some research has been done at the prefecture level.First, the study suggests that σ-convergence does not hold whether or not spatial dependence is considered. Second, it analyzes regional income convergence by applying the simplified Bayesian spatial Durbin model to the β -convergence approach. The results show that β-convergence holds over 1990-2007. © 2010 Elsevier B.V.

    Jan. 2012, Economic Modelling, 29 (1), 60 - 71, English

    [Refereed]

    Scientific journal

  • Empirical Comparison of the Various Spatial Predication Models: In Spatial Econometrics, Spatial Statistics, and Semiparametric Statistics

    Hajime, Seya, Morito, Tsutsumi, Yasushi, Yoshida, Yuichiro, Kawaguchi

    Dec. 2011, Procedia Social and Be-havioral Sciences, 21, 120-129, English

    [Refereed]

    International conference proceedings

  • Yoshiki YAMAGATA, Hajime SEYA, Kumiko NAKAMICHI

    環境科学会, Jun. 2011, Environmental Science, 24 (3), 169 - 179, Japanese

    [Refereed]

  • Morito Tsutsumi, Hajime Seya

    This study discusses the theoretical foundation of the application of spatial hedonic approaches-the hedonic approach employing spatial econometrics or/and spatial statistics-to benefits evaluation. The study highlights the limitations of the spatial econometrics approach since it uses a spatial weight matrix that is not employed by the spatial statistics approach. Further, the study presents empirical analyses by applying the Spatial Autoregressive Error Model (SAEM), which is based on the spatial econometrics approach, and the Spatial Process Model (SPM), which is based on the spatial statistics approach. SPMs are conducted based on both isotropy and anisotropy and applied to different mesh sizes. The empirical analysis reveals that the estimated benefits are quite different, especially between isotropic and anisotropic SPM and between isotropic SPM and SAEM the estimated benefits are similar for SAEM and anisotropic SPM. The study demonstrates that the mesh size does not affect the estimated amount of benefits. Finally, the study provides a confidence interval for the estimated benefits and raises an issue with regard to benefit evaluation. © 2009 Springer-Verlag.

    Dec. 2009, Journal of Geographical Systems, 11 (4), 357 - 380, English

    [Refereed]

    Scientific journal

  • Measuring the Impact of Large-Scale Transportation Project on Land Price Using Spatial Statistical Models

    Morito, Tsutsumi, Hajime, Seya

    Jan. 2008, Paper in Regional Science, 87 (3), 385-401, English

    [Refereed]

    Scientific journal

  • DAIRAKU Koji, YAMAGATA Yoshiki, HIRANO Junpei, SEYA Hajime

    Japan Association for Real Estate Sciences, 2015, The Japanese Journal of Real Estate Sciences, 29 (1), 40 - 45, Japanese

  • YAMAGATA Yoshiki, MURAKAMI Daisuke, SEYA Hajime, TSUTSUMI Morito

    One of the principal triggers of industrial agglomeration is the reduction of costs for business trips; business trip data-based analysis seems to furnish a lot of insights about industrial agglomeration. Fortunately, business trip data is provided every 10 years in Tokyo metropolitan area, though, to the best of the authors' knowledge, no studies have discussed spatial industrial agglomeration using its small zone-level detailed business trip data. This study analyzes spatial industrial agglomeration in the 23 wards of Tokyo utilizing the small zone-level data. Specifically, we first show that the spatial scan statistics, a test statistics of spatial agglomeration, is readily applicable to the business trip data, and, then, spatial industrial agglomerations of the business trips in each industry classification are analyzed by applying the statistics. Besides, we analyze the difference between the agglomerations of the business trips and those of the number of employees too.

    Japan Society of Civil Engineers, 2014, INFRASTRUCTURE PLANNING REVIEW, 70 (5), I_343 - I_351, Japanese

  • YAMAGATA Yoshiki, SEYA Hajime

    This paper extends the concept of our proposed (Yamagata and Seya, 2012) community-based disaster resilient electricity sharing system (DRESS) as a complement or alternative to a feed-in tariff(FiT) to achieve CO2-neutral transportation in cities. In our proposed system, electricity generated from widely introduced solar photovoltaic panels (PVs) is stored in the"cars not in use "in a city. For example, almost half of the cars in the central Tokyo metropolitan area are used only on weekends and thus are kept parked during weekdays. These cars represent a huge new potential storage depot if they were replaced by electric vehicles (EVs), that is, they could be used as storage batteries in a V2G system. The present study extends our proposed system in the following two senses. Firstly, different from Yamagata and Seya (2012), this paper uses actual ground area data (footprint) of each building to estimate PV supply, which may lead to more accurate estimations. The results show that although the entire electricity surplus (PV supply minus demand) could be stored without waste if 12% of the EVs not in use were utilized as storage batteries at an aggregate (city) level,there exist significant regional mismatches at the local district level. Hence secondly, based on the geographical PV supply-demand estimates, this paper analyses the possibility of local electricity sharing by looking at the geographical distribution of high-storage potential areas using a spatial clustering technique. This paper extends the concept of our proposed (Yamagata and Seya, 2012) community-based disaster resilient electricity sharing system (DRESS) as a complement or alternative to a feed-in tariff(FiT) to achieve CO2-neutral transportation in cities. In our proposed system, electricity generated from widely introduced solar photovoltaic panels

    Japan Management Training Center, 2013, iscm, 7 (3), 75 - 82, English

  • ZHANG Junyi, SEYA Hajime, KANESHIGE Hitoshi, CHIKARAISHI Makoto

    THE JAPANESE SOCIETY FOR GEOGRAPHICAL SCIENCES, 2016, GEOGRAPHICAL SCIENCES, 71 (3), 118 - 132, Japanese

  • Daisuke Murakami, Hajime Seya

    Transportation networks have a hierarchical structure, and the spatial scale of their impact on urban growth differs depending on the hierarchy. However, in empirical analyses of the impacts that transportation has on land use and prices, such hierarchy is often examined using dummy variables, and the network dependence and heterogeneity of impacts are often ignored. Thus, this study develops a spatial regression method that considers not only spatial dependence, but also network dependence within a hierarchical transportation network. This method was developed by extending the random effects eigenvector spatial filtering approach. Subsequently, it was applied to a pre-existing analysis that focused on the impacts that high-speed rail (HSR) had on residential land prices in Japan over the last 30 years. The results of the analysis suggested that HSR lines had hierarchical effects on residential land prices. The results also provide interesting insight into the ongoing problem of Japanese urban hierarchy; that is, the excessive concentration of population and industry in the Tokyo metropolitan area.

    Frontiers Media SA, 23 May 2022, Frontiers in Sustainable Cities, 4

    Scientific journal

  • Takahiro Yoshida, Yoshiki Yamagata, Soowon Chang, Vincent de Gooyert, Hajime Seya, Daisuke Murakami, Peraphan Jittrapirom, Gerasimos Voulgaris

    Elsevier, 2020, Urban Systems Design, 199 - 255

    [Refereed]

    In book

  • Hajime Seya, Takahiro Yoshida, Yoshiki Yamagata

    Elsevier, 2020, Spatial Analysis Using Big Data, 113 - 158

    [Refereed]

    In book

  • Hajime Seya, Yoshiki Yamagata

    Elsevier, 2020, Spatial Analysis Using Big Data, 9 - 31

    [Refereed]

    In book

MISC

  • 平成22年度土木学会論文賞 受賞論文 便益計測への空間ヘドニック・アプローチの適用

    堤 盛人, 瀬谷 創

    日本測量協会, Nov. 2011, 測量, 61 (11), 14 - 16, Japanese

  • PERSPECTIVE ON APPLIED SPATIAL STATISTICS : FOCUSING ON THE APPLICATION TO INFRASTRUCTURE PLANNING

    堤 盛人, 瀬谷 創

    土木学会, 2012, 土木学会論文集. D3, 土木計画学, 68 (5), I_1 - 20, Japanese

  • Longitudinal Analysis of Factors Affecting Inter-prefecture Population Mobility based on a Discrete Choice Model with Spatial Context Dependency

    張 峻屹, 瀬谷 創, 兼重 仁, 力石 真

    地理科学学会, Jul. 2016, 地理科学, 71 (3), 118 - 132, Japanese

  • 空間競争に関する離散選択モデル-ガソリンスタンドの撤退行動の実証分析-

    瀬谷創, 丸田雅晴, 力石真, 藤原章正, 張峻屹

    2016, 土木計画学研究・講演集(CD-ROM), 53

  • Basics of Applied Spatial Statistics : Spatial Statistics and Spatial Econometrics

    堤 盛人, 瀬谷 創

    統計数理研究所, Jun. 2012, 統計数理, 60 (1), 3 - 25, Japanese

  • Applying weighted-average least squares estimator to spatial econometric models

    瀬谷 創, 堤 盛人, 山形 与志樹

    2011, 応用地域学研究, (16), 43 - 54, Japanese

  • Dairaku Koji, Tsunematsu Nobumitsu, Hirano Junpei, Nakane Kazurou, Yamagata Yoshiki, Nakamichi Kumiko, Seya Hajime

    It is necessary to develop assessment tools for regional scale adaptation to climate change. We are developing 1) dynamical downscaling method using socio-economic land use scenarios in Tokyo Metropolitan Area to add spatial resolution to accurately assess critical interactions within the regional climate system for vulnerability assessments to climate change for regional scale adaptation, 2) regional-scale assessment of the impacts of climate and socio-economic change on flood and agriculture with the bottom-up perspective and landuse scenarios in Tokyo Metropolitan Area using an urban economic model. We will introduce our current perspectives and progress on this newly launched integrated research project.

    水文・水資源学会, 2012, Proceeding of Annual Conference, 25 (0), 260 - 260, Japanese

  • ヘドニック・アプローチを用いた便益評価と空間計量経済学・空間統計学

    堤 盛人, 瀬谷 創

    日本住宅総合センタ-, 2009, 住宅土地経済, (72), 27 - 35, Japanese

  • P238 東京都市圏夏季を対象とした都市形態変化によるヒートアイランド緩和効果(ポスター・セッション)

    足立,幸穂, 日下,博幸, 木村,富士男, 山形,与志樹, 瀬谷,創, 中道,久美子, 青柳,曉典, 津川,元彦, 高橋,洋, 吉兼,隆生

    日本気象学会, 30 Apr. 2012, 大会講演予講集, 101, 264, Japanese

Books etc

  • An overview of Asian studies on transport and land use, in Junyi Zhang and Cheng-Min Feng (eds.), Routledge Handbook of Transport in Asia

    SEYA HAJIME, Harry Timmermans

    Others, Routledge, 2018, English

    Scholarly book

  • The car-dependent life, in Junyi Zhang (eds.), Life-Oriented Behavioral Research for Urban Policy

    Junyi Zhang, Masashi Kuwano, Makoto Chikaraishi, SEYA HAJIME

    Others, Springer, 2017, English

    Scholarly book

  • Urban economics model for land-Use planning, in Yoshiki Yamagata, Yoshiki and Hiroshi Maruyama (eds.), Urban Resilience: A Transformative Approach

    Yoshiki Yamagata, SEYA HAJIME, Daisuke Murakami

    Others, Springer, 2016, English

    Scholarly book

Research Projects