Faculty Profiles - TANIKAWA, Hiroki

Papers - TANIKAWA, Hiroki

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Uncovering urban transportation infrastructure expansion and sustainability challenge in Bangkok: Insights from a material stock perspective Reviewed

Khumvongsa, K; Guo, J; Theepharaksapan, S; Shirakawa, H; Tanikawa, H

JOURNAL OF INDUSTRIAL ECOLOGY Vol. 27 ( 2 ) page： 476 - 490 2023.4

Language：English Publishing type：Research paper (scientific journal) Publisher：Journal of Industrial Ecology

Development of transportation infrastructure that extends roads and railways in Bangkok has overlooked the negative environmental impact of construction material accumulation. To analyze the extent of this impact, we originally established road and railway's material intensity coefficients and investigated spatially explicit roadway and railway material stock (MS) for the years of 2004, 2009, 2014, 2019, and 2037, based upon the master plans’ target year. We further analyzed how MS evolution relates to the city's socio-economic indicators and CO2 emission. Significant growth is found in transportation MS during 2004–2019, and roadways particularly increased from 122 to 164 million metric tons (Mt). The master plans would require 43 and 6.55 Mt construction materials for roadway and railway extension, respectively, by 2037. More material-intensive roads (cross-provincial highways and major local roads) built to the suburbs of the cities and underground/elevated structures of the mass rapid transit system in dense urban areas will require three times the annual cement and steel consumption of that in the 2004–2019 period. Furthermore, a 2–3 fold increase in the number of registered vehicles and associated CO2 emissions during the study period have brought questions to the transportation infrastructure MS efficiency. The findings of this study will enable informed decision-making regarding the concern of resource consumption and for considering environmentally friendly approaches in urban transportation planning for Bangkok and other developing cities.

DOI： 10.1111/jiec.13342

Web of Science

Scopus

日本における建設資材ストック・フローの時空間分析 Reviewed

太田裕也, 山下奈穂, 蛭田有希, 白川博章, 谷川寛樹

環境情報科学 Vol. 52 ( 1 ) page： 120 - 120 2023.3

滞留年数の延長による資源循環及び気候変動緩和への影響評価 Reviewed

藤川奈々, 山下奈穂, 蛭田有希, 白川博章, 谷川寛樹

環境情報科学 Vol. 52 ( 1 ) page： 119 - 119 2023.3

Does Deep Learning Enhance the Estimation for Spatially Explicit Built Environment Stocks through Nighttime Light Data Set? Evidence from Japanese Metropolitans Reviewed

Liu, ZW; Saito, R; Guo, J; Hirai, C; Haga, C; Matsui, T; Shirakawa, H; Tanikawa, H

ENVIRONMENTAL SCIENCE & TECHNOLOGY Vol. 57 ( 9 ) page： 3971 - 3979 2023.3

Language：English Publishing type：Research paper (scientific journal) Publisher：Environmental Science and Technology

Built environment stocks have attracted much attention in recent decades because of their role in material and energy flows and environmental impacts. Spatially refined estimation of built environment stocks benefits city management, for example, in urban mining and resource circularity strategy making. Nighttime light (NTL) data sets are widely used and are regarded as high-resolution products in large-scale building stock research. However, some of their limitations, especially blooming/saturation effects, have hampered performance in estimating building stocks. In this study, we experimentally proposed and trained a convolution neural network (CNN)-based building stock estimation (CBuiSE) model and applied it to major Japanese metropolitan areas to estimate building stocks using NTL data. The results show that the CBuiSE model is capable of estimating building stocks at a relatively high resolution (approximately 830 m) and reflecting spatial distribution patterns, although the accuracy needs to be further improved to enhance the model performance. In addition, the CBuiSE model can effectively mitigate the overestimation of building stocks arising from the blooming effect of NTL. This study highlights the potential of NTL to provide a new research direction and serve as a cornerstone for future anthropogenic stock studies in the fields of sustainability and industrial ecology.

DOI： 10.1021/acs.est.2c08468

Web of Science

Scopus

PubMed

Spatial-temporal dynamics of the built environment toward sustainability: A material stock and flow analysis in Chinese new and old urban areas Reviewed

Yang, D; Dang, MY; Guo, J; Sun, LW; Zhang, RR; Han, F; Shi, F; Liu, Q; Tanikawa, H

JOURNAL OF INDUSTRIAL ECOLOGY Vol. 27 ( 1 ) page： 84 - 95 2023.2

Language：English Publishing type：Research paper (scientific journal) Publisher：Journal of Industrial Ecology

The urban built environment has accumulated massive amounts of resources, which is the main “hot spot” of construction materials and energy consumption in cities. To effectively monitor and manage resources use and waste disposal toward sustainability, this study intended to explore different metabolic paths of the urban built environment, as well as strategies for new and old urban areas separately with the help of material stock and flow analysis. Based on snapshots of 2003, 2010, and 2017 and combined with big data, a four-dimensional geographic information system buildings database of Lixia District in Jinan, China, was compiled for bottom-up stock modeling. Finally, the environmental impact assessment of the buildings’ demolition and disposal stage was carried out. The results showed that the building material stock was 142.31 Mt in 2017, with an increase of 69% from 2003. The reinforced concrete buildings increased rapidly from 2003 to 2017, especially in new urban areas, which has boosted demand for steel and cement by more than 150% during these 15 years. The material stock of the old urban area tends to be saturated, whereas the new urban area has experienced a rapid expansion with the material inflow four times as large as the material outflow. Potential recycling of waste concrete can reduce the generation of building demolition waste by 50%, save 0.15 km2 of land occupation, increase raw material substitution by nearly 10 times, and reduce CO2 emissions by 2.5 times.

DOI： 10.1111/jiec.13335

Web of Science

Scopus

Estimation of the Lifespan of Imported Passenger Vehicles in Mongolia Reviewed Open Access

Tulga Mendjargal, Eiji Yamasue, Hiroki Tanikawa

Sustainability Vol. 14 ( 21 ) 2022.11

What matters most to the material intensity coefficient of buildings? Random forest‐based evidence from China Reviewed

Ruirui Zhang, Jing Guo, Dong Yang, Hiroaki Shirakawa, Feng Shi, Hiroki Tanikawa

Journal of Industrial Ecology Vol. 26 ( 5 ) page： 1809 - 1823 2022.10

Application of GIS and Machine Learning to Predict Flood Areas in Nigeria Reviewed Open Access

Ighile, EH; Shirakawa, H; Tanikawa, H

SUSTAINABILITY Vol. 14 ( 9 ) 2022.5

Language：English Publishing type：Research paper (scientific journal) Publisher：Sustainability (Switzerland)

Floods are one of the most devastating forces in nature. Several approaches for identifying flood-prone locations have been developed to reduce the overall harmful impacts on humans and the environment. However, due to the increased frequency of flooding and related disasters, coupled with the continuous changes in natural and social-economic conditions, it has become vital to predict areas with the highest probability of flooding to ensure effective measures to mitigate impending disasters. This study predicted the flood susceptible areas in Nigeria based on historical flood records from 1985~2020 and various conditioning factors. To evaluate the link between flood incidence and the fifteen (15) explanatory variables, which include climatic, topographic, land use and proximity information, the artificial neural network (ANN) and logistic regression (LR) models were trained and tested to develop a flood susceptibility map. The receiver operating characteristic curve (ROC) and area under the curve (AUC) were used to evaluate both model accuracies. The results show that both techniques can model and predict flood-prone areas. However, the ANN model produced a higher performance and prediction rate than the LR model, 76.4% and 62.5%, respectively. In addition, both models highlighted that those areas with the highest susceptibility to flood are the low-lying regions in the southern extremities and around water areas. From the study, we can establish that machine learning techniques can effectively map and predict flood-prone areas and serve as a tool for developing flood mitigation policies and plans.

DOI： 10.3390/su14095039

Open Access

Web of Science

Scopus

From efficiency to equity: Changing patterns of China's regional transportation systems from an in-use steel stocks perspective Reviewed International coauthorship

Xu, ST; Wang, HX; Tian, X; Wang, T; Tanikawa, H

JOURNAL OF INDUSTRIAL ECOLOGY Vol. 26 ( 2 ) page： 548 - 561 2022.4

Language：English Publishing type：Research paper (scientific journal) Publisher：Journal of Industrial Ecology

Transportation serves as a bridge for social production, distribution, exchange, and consumption and, thus, plays an important role in boosting the economy. In recent years, the rapid development of China's transportation system has driven a continuous accumulation of steel. In this study, we estimated the in-use steel stocks of 32 types of infrastructure and vehicles in three subsystems (railway, road, and subway) in 31 provinces of China from 1990 to 2019 based on a bottom-up approach. The results show that China's in-use steel stock in the transportation system has increased to 575 Mt in 2019 (34.4% for infrastructure, 65.6% for vehicle). Spatially, this increasing trend shows six diversified patterns among 31 provinces; steel stocks tend to decrease from the east to central and western inland areas. The Gini coefficient curve of the provinces’ stocks shows an inverted “U” shape over time, indicating a shrinking regional gap in recent years; this reflects a transition from efficiency to equity. We also measured the steel stock productivity (GDP per stock) in different regions and observed its diverse evolution types. The stock productivities in all regions climbed up initially, but have dropped in recent years, and the most obvious decrease is observed in western China. For eastern regions, vehicles have been the main growth point in recent years, while western regions are vigorously developing infrastructure. Our results help to illustrate the development status and spatial distribution of China's transportation system and could facilitate improved efficiency and the management of future challenges in China's transformation and development.

DOI： 10.1111/jiec.13203

Web of Science

Scopus

第24 回（2021 年度）学術大会公開シンポジウム「循環経済（サーキュラーエコノミー）とSDGs」報告 Reviewed

松本亨, 中村崇, 工藤里恵, 林志浩, 松尾康志, 藤井実, 谷川寛樹

環境共生 Vol. 38 ( 1 ) page： 119 - 124 2022.3

GIS を用いた同一性判定に基づく建築物のLCA 環境負荷の評価 Reviewed

太田裕也, 吉田英立, 白川博章, 谷川寛樹

環境情報科学 Vol. 51 ( 1 ) page： 117 - 117 2022.3

都市構造物ストック推計手法の再検討 Reviewed

松代竜毅, 山下奈穂, 白川博章, 谷川寛樹

環境情報科学 Vol. 51 ( 1 ) page： 82 - 82 2022.3

衛星画像を用いた畳み込みニューラルネットワークによる建物延床面積推計に関する研究 Reviewed

齋藤隆成, LIU Zhiwei, 平井千津子, 芳賀智宏, 松井孝典, 白川博章, 谷川寛樹

環境情報科学 Vol. 51 ( 1 ) page： 84 - 84 2022.3

名古屋市中心部における建設資材ストックと構造種割合の変遷 Reviewed

玉崎美結, 白川博章, 谷川寛樹

環境情報科学 Vol. 51 ( 1 ) page： 83 - 83 2022.3

Estimation of Material Stocks Based on Building Structure Determination Using Image Recognition

NAGAO Masahiro, TAKEUCHI Junki, TAMASAKI Miyu, MORITA Masato, KITA Eisuke, SHIRAKAWA Hiroaki, TANIKAWA Hiroki

Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) Vol. 78 ( 6 ) page： II_19 - II_25 2022

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japan Society of Civil Engineers

Estimation of material stock of buildings in urban areas is important for recycling and proper disposal of resources. For the purpose of more accurate stock estimation, glasses and walls were extracted from images of building walls using a machine learning model of image recognition, and then calculated the percentage of glass in the walls based on the number of pixels in each. The classification of building structures based on the glass percentage showed that a threshold value of 67% is suitable for classifying steel-framed buildings with curtain walls. Classification result obtained from 262 buildings around Nagoya Station was used for stock estimation, and the result was compared with those calculated by the method proposed by previous study. The estimated amount of concrete decreased by 18% and the estimated amount of steel increased by 325%.

DOI： 10.2208/jscejer.78.6_ii_19

CiNii Research

Compilation of Physical Input Output Table of Non-metallic Mineral Resources in Japan and Application to Material Flow Indicators Reviewed

YAMASHITA Naho, HASHIMOTO Seiji, SHIRAKAWA Hiroaki, TANIKAWA Hiroki

Journal of Human and Environmental Symbiosis Vol. 38 ( 2 ) page： 176 - 187 2021.11

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japan Association for Human and Environmental Symbiosis

The 4th Fundamental Plan for Establishing a Sound Material-Cycle Society aims to achieve exhaustive resource use though the development of new methods and indicators considering all stages of material lifecycle. In this study, material flow and stock analysis of non-metallic mineral resources and its compilation to physical input output table are conducted for the period 1990 to 2015. Also, the results are applied to 6 material flow indicators to discuss the efficiency in each stage of lifecycle. According to the results, the amount of direct material input has decreased since 1990, while the amount of domestic processed output has relatively increased in recent years. It was also found the recovery rate of used products has been over 90% since 2003. This indicates the utilization of used materials has been consistently promoted although the amount of outflow from used products has increased. The difference between the amount of outflow from statistics and estimates implies that there is a certain amount of so-called missing stock such as obsolete stock and dissipated stock. These stocks could be great concern in terms of its impact on material use time and future waste generation.

DOI： 10.32313/jahes.38.2_176

CiNii Research

The urbanisation-environment conflict: Insights from material stock and productivity of transport infrastructure in Hanoi, Vietnam Reviewed International coauthorship Open Access

Miatto, A; Dawson, D; Nguyen, PD; Kanaoka, KS; Tanikawa, H

JOURNAL OF ENVIRONMENTAL MANAGEMENT Vol. 294 page： 113007 2021.9

Language：English Publishing type：Research paper (scientific journal) Publisher：Journal of Environmental Management

Developing regions experience rapid population growth and urbanisation, which require large quantities of materials for civil infrastructure. The production of construction materials, especially for urban transport systems, however, contributes to local and global environmental change. Political agendas may overlook the environmental implications of urban expansion, as economic growth tends to be prioritised. While elevating the standard of living is imperative, decision-making without careful environmental assessments can undermine the overall welfare of society. In this study, we evaluate the material demand and in-use stock productivity for the large-scale development plan for transport infrastructure in the city of Hanoi, Vietnam, from 2010 to 2030, combining geospatial and socioeconomic data with statistics on roads and railways. The results show that the total material stock could rise threefold from 66 Tg in 2010 to 269 Tg in 2030, which roughly translates to an addition of 30 Empire State Buildings per year by mass. The materials we account are required for construction exceed the availability of local sand and will need to be gathered farther away. Furthermore, the material stock productivity of the transport infrastructure appears to have been declining overall since 2010, and this trend may continue to 2030. These findings demonstrate the importance of informing urban planning with a comprehensive assessment of construction materials demand, supply capacity, and environmental impacts. Policy priorities for improving the in-use stock productivity are also recommended towards achieving a more efficient utilisation of natural resources.

DOI： 10.1016/j.jenvman.2021.113007

Web of Science

Scopus

PubMed

Scenario Analysis of Carbon Stock in Forest and Wooden Houses—Considering the Supply and Demand of Timber— Reviewed

YAMASHITA Naho, KAYO Chihiro, TANIKAWA Hiroki

ENVIRONMENTAL SCIENCE Vol. 34 ( 4 ) page： 184 - 195 2021.7

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：SOCIETY OF ENVIRONMENTAL SCIENCE, JAPAN

This paper estimates the total amount of carbon stock in forest and wooden houses of Japan throughout the years of 2017 to 2100 under various scenarios. Although the amount of carbon stock in Japan has been estimated by various approaches, most of previous researches focused either on the forest or residential buildings separately. In this study, we introduced a model which considered the impacts of the timber demand of wooden houses on the carbon stock in forest to estimate the total carbon stock. Moreover, the scenarios are set up with combination of demand for wooden houses and long lifespan. As a result, the carbon stock of the scenario with high demand of wooden houses and long lifespan reaches the largest amount of 1.1 billion t-C and shows 132 million t-C higher than BAU in 2100. On the other hand, the carbon stock of the scenario with high demand of wooden houses and current lifespan shows the smallest amount of 1.0 billion t-C in 2100. Although the increase of carbon stock is predicted to diminish as lifespan is set longer, promotion of longer lifespan for wooden houses can contribute to the growth of carbon stock.

DOI： 10.11353/sesj.34.184

CiNii Research

High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany Reviewed International coauthorship Open Access

Haberl, H; Wiedenhofer, D; Schug, F; Frantz, D; Virág, D; Plutzar, C; Gruhler, K; Lederer, J; Schiller, G; Fishman, T; Lanau, M; Gattringer, A; Kemper, T; Liu, G; Tanikawa, H; van der Linden, S; Hostert, P

ENVIRONMENTAL SCIENCE & TECHNOLOGY Vol. 55 ( 5 ) page： 3368 - 3379 2021.3

Language：English Publishing type：Research paper (scientific journal) Publisher：Environmental Science and Technology

The dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Two main types of data are currently used to map stocks, night-Time lights (NTL) from Earth-observing (EO) satellites and cadastral information. We present an alternative approach for broad-scale material stock mapping based on freely available highresolution EO imagery and OpenStreetMap data. Maps of built-up surface area, building height, and building types were derived from optical Sentinel-2 and radar Sentinel-1 satellite data to map patterns of material stocks for Austria and Germany. Using material intensity factors, we calculated the mass of different types of buildings and infrastructures, distinguishing eight types of materials, at 10 m spatial resolution. The total mass of buildings and infrastructures in 2018 amounted to 5 Gt in Austria and 38 Gt in Germany (AT: 540 t/cap, DE: 450 t/cap). Cross-checks with independent data sources at various scales suggested that the method may yield more complete results than other data sources but could not rule out possible overestimations. The method yields thematic differentiations not possible with NTL, avoids the use of costly cadastral data, and is suitable for mapping larger areas and tracing trends over time.

DOI： 10.1021/acs.est.0c05642

Urban development and sustainability challenges chronicled by a century of construction material flows and stocks in Tiexi, China Reviewed International coauthorship

Jing Guo, Tomer Fishman, Yao Wang, Alessio Miatto, Wendy Wuyts, Licheng Zheng, Heming Wang, Hiroki Tanikawa

Journal of Industrial Ecology Vol. 25 ( 1 ) page： 162 - 175 2021.2

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Papers - TANIKAWA, Hiroki