长距离定向钻进技术在巷道掘进超前探查中的应用研究

巷道掘进超前探查一般采用钻探方法的开展工作,常规回转钻进由于受钻进工艺等影响,存在钻孔施工长度短、影响正常掘进、施工精度较差等问题。而采用长距离掩护式定向钻进工艺开展超前探放水工作,可对掘进头600m范围内进行超前探查,钻孔施工长度较常规回转钻进孔长度增大3~4倍,在不影响掘进的前提下,可通过随钻测斜仪器实时对钻孔轨迹进行调整、监控,从而达到高精度、长距离对掘进前方进行超前探查,较常规超前探放水具有较大的优势[1]。     

地方政府公共行政中的"塔西佗陷阱"探析

当前,由于各种原因导致地方政府在公共行政中陷入了"塔西佗陷阱". "塔西佗陷阱"的实质是社会公众对政府的政治信任问题. 要提高社会公众对地方政府的政治信任,破解"塔西佗陷阱",不但要确立明晰的产权关系,树立正确的政绩观,还要建立完善的制度体系,依法实行"阳光行政",同时正确引导公共话语、构建服务型政府、加强公职人员诚信建设.     

The impact of hydrogen refueling station subsidy strategy on China's hydrogen fuel cell vehicle market diffusion

Lack of hydrogen refueling stations (HRSs) has hindered the diffusion of hydrogen fuel cell vehicles (HFCVs) in the Chinese transport market. By combining the agent-based model (ABM) and the experience weighted attraction (EWA) learning algorithm, this paper explores the impact of government subsidy strategy for HRSs on the market diffusion of HFCVs. The actions of the parties (government, HRS planning department and consumers) and their interactions are taken into account. The new model suggests dynamic subsidy mode based on EWA algorithm yields better results than static subsidy mode: HFCV purchases, HRS construction effort, total number of HRSs and expected HRS planning department profits all outperform static data by around 27%. In addition, choosing an appropriate initial subsidy strategy can increase the sales of HFCVs by nearly 40%. Early investment from government to establish initial HRSs can also increase market diffusion efficiency by more than 76.7%.     

Factors influencing the use of artificial intelligence in government: Evidence from China

Some studies have discussed the potential and challenges related to the use of artificial intelligence (AI) in government. However, there are few empirical studies that have examined factors that influence the use of AI in government. By collecting policy documents and empirical data from the government, IT enterprises, and the public in China, we identified the influencing factors in the three stages of government adoption, implementation, and decision-making. The research results show that the influencing factors of government application of AI are different at different stages and with different stakeholders’ backgrounds.     

从场所环境到场所精神——由思明区社区服务大楼设计引发的思考

建筑总是处于特定的场所环境中的 ,不同的场所环境对于建筑有不同的关联性和制约性。建筑设计要在充分分析建筑所处场所环境各个要素特性的基础上 ,采取一定的处理策略 ,使建筑在特定的场所环境中实现最大的可能性 ,并使之反映相应的场所特性 ,创造出反映场所精神的建筑空间与形式。     

The Limits of Decentralisation in Urban Zambia

Against a background of the expansion of decentralisation across sub-Saharan Africa and widespread debates concerning the benefits associated with decentralisation, this article analyses the example of Zambia. The paper highlights the “limits” or constraints affecting the success of decentralisation. From detailed research in Ndola, attention is drawn to several issues surrounding the council’s inadequate human resource base as well as critical funding constraints which impact upon public service delivery.

北京城八区政务大厅考察

政务大厅是近年来国家建设“服务型政府”过程中出现的新类型建筑,主要以集中的开敞大厅为办公地点,空间开放而透明,向市民及企业提供各种行政服务。本文以当代北京城八区政务大厅建筑为研究对象,通过调研、分析和总结,从建筑概况、空间特征、空间构成以及人性化设计这几个方面对北京政务大厅建筑进行了初步探讨。     

城市规划的先导作用--青浦的探索

文章讨论城市规划对城市发展建设的影响，从政府与市场的关系开始讨论，一直谈到规划的作用与政府角色，以上海市青浦区的实践为例，论述城市开发操作过程中的政府角色问题，得出政府与市场合作的创新理论与三种模式。     

北京什刹海烟袋斜街地区保护整治实践

在北京编制完成25片历史文化保护区保护规划之后,为了恢复烟袋斜街的传统商业和活力．北泵市西城区政府于2001年开始对烟袋斜街地区进行了保护和整治改造。本文介绍了街道改造的指导思想实施过程和效果,以及相关主体的利益互动。通过对烟袋斜街整治改造案例的分析，本文提出适度政府干预对历史街区再生的积极意义。     

Understanding e‐Government portal use in rural India: role of demographic and personality characteristics

Electronic government (e‐Government) is one of the most important ways to bridge the digital divide in developing countries. We develop a model of e‐Government portal use. We use various individual characteristics, namely demographics and personality, as predictors of e‐Government portal use. Specifically, our predictors were (1) gender, age, income and education; (2) the Big Five personality characteristics, i.e. extraversion, neuroticism, conscientiousness, agreeableness and openness to experience; and (3) personal innovativeness with information technology. We conducted a field study in a village in India. We collected data from over 300 heads of household. We found support for our model, with most variables being significant and explaining 40% of the variance in e‐Government portal use.