Earthquake influence coefficient is one of the most important factors of earthquake micro-zoning

which is the basis of earthquake-proof building design and disaster reduction. Distribution of earthquake influence coefficient is controlled by site condition

basement rock condition

and special geological condition

etc.. More attentions have been paid on site condition

but less on basement rock condition or special geological condition. The big earthquake in Tangshan city resulted in 243

000 lives lost in 1976

therefore

high attentions are paid to earthquake disaster resistance

and accurately calculation of earthquake influence coefficient is necessary for city planning and earthquake-proof building design. According to the condition of Tangshan city

distribution of basement rock fracture is calculated based on Griffith criteria

and controlling factors of the distribution of earthquake influence coefficient are discussed. Relativities among earthquake influence coefficient

site condition

basement rock condition and special geological condition are analyzed. It was found from results that the distribution of earthquake influence coefficient in Tangshan city are mainly controlled by displacement

fracture probability

site category and physiognomy. Because the relativities are complicated

predictive model is constructed based on artificial neural network

and distribution of earthquake influence coefficient in Tangshan city is calculated precisely. After repeated calculating of 197

012 times

precise results are obtained. Earthquake influence coefficient is larger than 0.48 in southeast of Tangshan city and even larger than 0.64 in some local regions. Also

it was found that earthquake influence coefficient diminishes gradually from southeast to northwest. Finally

the influence of earthquake influence coefficient distribution on city planning and engineering construction are analyzed and some advice are proposed.