This article investigates the dynamics of spatial wage premium for workers employed on temporary and permanent contracts. We use an employer–employee database that covers universe young Italian employees 2005–2016. On controlling individual observed unobserved heterogeneity endogeneity relationship, our findings indicate hired a basis do not enjoy same benefits from agglomeration externalities ...

It is estimated that more than half of the world population lives in cities according to (UN forecasts, 2014), so cities are vital. Cities, as we all know facing with complex challenges – for smart cities the outdated traditional planning of transportation, environmental contamination, finance management and security observations are not adequate. The developing framework for smart-city require...

To develop into big coastal economic province, Hebei Province requires the support of the coastal cities, one of the biggest coastal cities in Hebei Province, playing an important role. In this paper, the authors mainly use the SWOT method to analyze strengths, weaknesses, opportunities and threats that Tangshan City mainly faces today. It is very essential to develop effective measures to brin...

This article is a single source introduction to the emerging concept of smart cities. It can be used for familiarizing researchers to the vast scope of research possible in this application domain. The smart city is primarily a concept and there is still not a clear and consistent definition of among practitioners and academia. In a simplistic explanation, a smart city is a place where traditio...

Large cities with multi-modal traffic systems are complex that need to be understood to help analyze and make policy decisions. Understanding such complex systems requires simulation, experimentation and observation. We have built a MUST system to simulate big cities with multi-modal traffic system with large number of agents (humans), each participating in many movement activities. Building su...

Previous studies have shown that Twitter users have biases to tweet from certain locations (locational bias) and during certain hours (temporal bias). We used three years of geo-located Twitter Data to quantify these biases and test our central hypothesis that Twitter users’ biases are consistent across US cities. Our results suggest that temporal and locational bias of Twitter users are incons...