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11-14 日本廣島大學張峻屹教授學術(shù)講座:Population migration and regional development in Japan: A longitudinal and spatially context-dependent analysis

題目:Population migration and regional development in Japan: A longitudinal and spatially context-dependent analysis
主講人:張峻屹 教授(日本廣島大學)
時間:2016年11月14日(周一)下午15:00—17:00
地點:主樓六層
主講人簡介:

    張峻屹教授的主要研究領(lǐng)域包括交通運輸規(guī)劃與管理、城市與區(qū)域規(guī)劃、環(huán)境與能源政策、旅游政策與管理等。他是市民生活行為學創(chuàng)始人(2015年3月專著市民生活行為學由日本土木工程學會出版,2016年世界著名出版社Springer將出版其專著LIFE-ORIENTED BEHAVIORAL RESEARCH FOR URBAN POLICY),日本交通界第一位外籍教授,主持了多項大型重點研究與教育項目。日本21世紀COE項目核心成員,日本文部省科學技術(shù)振興調(diào)整戰(zhàn)略環(huán)境頂尖人才培養(yǎng)重點項目城市系統(tǒng)設(shè)計組組長,日本學術(shù)振興會科學研究費的基礎(chǔ)研究A類項目負責人。到2016年2月為止,已發(fā)表了330多篇有審查論文(其中50篇SCI/SSCI論文,英文論文250篇以上)和其他論文近300篇,共獲包括2014年世界智能交通(ITS)大會最優(yōu)論文獎在內(nèi)的日本國內(nèi)外論文獎11次(最優(yōu)秀論文獎8次,優(yōu)秀論文獎3次)。20多家SCI/SSCI雜志論文評審專家,國際交通行為研究學會(IATBR)5名理事之一,亞洲太平洋地區(qū)最大交通學會組織亞洲交通學會(EASTS)雜志Asian Transport Studies(ATS)主編,10多家國際著名學術(shù)雜志編委。

內(nèi)容介紹:
    Japan has been facing with population decline. Over-concentration of population in the three mega-city areas (Tokyo, Nagoya and Osaka) has resulted in seriously-unbalanced regional development, especially in a large proportion of local cities and rural areas. Since 1980s, the Japanese government has implemented various policies (i.e., a huge amount of money has been invested) in re-balancing regional development. Unfortunately, effects of such policies are not so effective as expected. This lecture will focus on population migration among regions in Japan. It will first illustrate the patterns of population migration over time since 1980s. Second, it will clarify temporally-changing effects of various regional revitalization policies by building a spatially context-dependent discrete choice model at the prefecture level. This lecture will summarize what policies had worked consistently over time and what policies worked only at a certain time period. Finally, future research challenges will be discussed.

 

(承辦:能源與環(huán)境政策研究中心,科研與學術(shù)交流中心)

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