Work and Home Location: Possible Role of Social Networks

This research explores to what extent people's work locations are similar to that of those who live around them. Using the Longitudinal Economic and Household Dynamics data set and the US census for the Twin Cities (Minneapolis-St. Paul) metropolitan area, we investigate the home and work locations of different census block residents. Our aim is to investigate if people who live close to one another, also work close to one another to a degree beyond what would be expected at random. We find a significantly non-random correlation between joint home and joint work locations. Further, we show what features of particular neighborhoods are associated with comparatively higher incidences of people sharing work locations. One reason for such an outcome can be the role neighborhood level social networks play in locating jobs; or conversely work place social networks play in choosing the home location or both. Such findings should be used to refine work trip distribution models that otherwise depend mainly on impedance between the origin and destination.Social Networks, Trip Distribution, Destination Choice, Work, Commuting, Residential Location

Weak nodes detection in urban transport systems: Planning for resilience in Singapore

The availability of massive data-sets describing human mobility offers the possibility to design simulation tools to monitor and improve the resilience of transport systems in response to traumatic events such as natural and man-made disasters (e.g. floods terroristic attacks, etc...). In this perspective, we propose ACHILLES, an application to model people's movements in a given transport system mode through a multiplex network representation based on mobility data. ACHILLES is a web-based application which provides an easy-to-use interface to explore the mobility fluxes and the connectivity of every urban zone in a city, as well as to visualize changes in the transport system resulting from the addition or removal of transport modes, urban zones, and single stops. Notably, our application allows the user to assess the overall resilience of the transport network by identifying its weakest node, i.e. Urban Achilles Heel, with reference to the ancient Greek mythology. To demonstrate the impact of ACHILLES for humanitarian aid we consider its application to a real-world scenario by exploring human mobility in Singapore in response to flood prevention.Comment: 9 pages, 6 figures, IEEE Data Science and Advanced Analytic

Exploring the Applicability of Location Based Services to Determine the State Routes Transport Networks Integratedness in the City of Johannesburg

In cities of the developing countries, particularly in African, Asian and Latin American continents; there have been growing concerns in terms of the state of public transportation systems. One of the main among the concerns have been lack of well-integrated, reliable and efficient public transport systems. This is particularly so in urban centres, due to rapid growth of the urban population coincided with the end of colonialism, giving rise to large scale economic, spatial and structural transformation of urban landscapes. The consciousness of the need for well-functioning innovative public transport systems by all spheres of governments and the private sector institutions has prompted precipitate action in the past decades to invest in innovative transport systems. Conversely, just like any other rapid growing metropolitan municipalities in developing and emerging economies, the city of Johannesburg has not been released with regards continuous public transport challenges. In the past decade, the City of Johannesburg has actively participated in the development of the first fast train system; the Gautrain in conjunction with two other metropolitan cities within the province. To support the innovative train system, the city also invested in and developed the Rea Vaya; a rapid bus system. However, the state of connectedness of the rail and road route networks within the city have not been well documented. Therefore, this study aims to delineate the extent routes network integration among Gautrain and Rea Vaya within the Johannesburg urban public transport system and how working relationships could be improved. The study adopted a phenomelogical case study survey design that applied mixed-method approaches to gather spatial, qualitative and quantitative data. The exploratory approach was used to formulate the research problem for precise investigation whilst the descriptive approach was used to gather complete and accurate information. Research techniques such as crowdsourcing, interviews, social media was used to collected data. Whilst data analysis and interpretations were conducted with techniques such as main content analysis, Geographic Information Technologies and Echo-Echo. Research findings; indicate that there are limited areas where the route networks between the public transport systems are connected. The large sections of the networks are disintegrated. The work recommends conscious efforts in planning and developing both rail and road route networks that are integrated to promote efficiency of public transport systems

Agent-Based Model of Price Competition and Product Differentiation on Congested Networks

Using consistent agent-based techniques, this research models the decision-making processes of users and infrastructure owner/operators to explore the welfare consequence of price competition, capacity choice, and product differentiation on congested transportation networks. Component models include: (1) An agent-based travel demand model wherein each traveler has learning capabilities and unique characteristics (e.g. value of time); (2) Econometric facility provision cost models; and (3) Representations of road authorities making pricing and capacity decisions. Different from small-network equilibrium models in prior literature, this agent-based model is applicable to pricing and investment analyses on large complex networks. The subsequent economic analysis focuses on the source, evolution, measurement, and impact of product differentiation with heterogeneous users on a mixed ownership network (with tolled and untolled roads). Two types of product differentiation in the presence of toll roads, path differentiation and space differentiation, are defined and measured for a base case and several variants with different types of price and capacity competition and with various degrees of user heterogeneity. The findings favor a fixed-rate road pricing policy compared to complete pricing freedom on toll roads. It is also shown that the relationship between net social benefit and user heterogeneity is not monotonic on a complex network with toll roads.Network dynamics, road pricing, autonomous links, privatization, price competition, product differentiation, agent-based transportation model

No More Freeways: Urban Land Use-Transportation Dynamics without Freeway Capacity Expansion

Observations of the various limitations of freeway capacity expansion have led to a provocative planning and policy question – What if we completely stop building additional freeway capacity. From a theoretical perspective, as a freeway transportation network matures, there exists a saturation point beyond which any additional freeway capacity would only be counterproductive from a welfare point of view, and worsen the existing urban transportation problems. Traditional benefit/cost analysis of individual freeway capacity expansion projects often ignores long-term induced demand and land use changes and does not represent a systems approach to this important theoretical issue. From a practical perspective, a no-more-freeway policy can relieve transportation funds for other potentially more effective usages, such as improving urban arterial street system, improving transit level of service and coverage, implementing demand management and pricing strategies, and facilitating more efficient land use patterns (e.g. high density in-fill and transit-oriented developments). This research answers the following critical land use-transportation planning questions. Improved knowledge on these issues should benefit planers and decision-makers who pursue mobility and sustainability objectives and have the power to shape future cities. (1). Under what conditions will freeway capacity expansion become counterproductive to urban planning objectives (where is the saturation point)? (2). How will land use and transportation evolve under a “No-More-Freeway” policy? (3). What are the implications of such a policy on congestion, land use efficiency, transportation finance, and social welfare? (4). What is the impact of a less restrictive “No-More-Freeway” policy that only allows private-section freeway investments and relieves public-section freeway investments for other compelling transportation needs. The analysis in this project builds upon a modeling tool, ABSOLUTE, developed by the P.I. in previous research projects. ABSOLUTE is an Agent-Based Simulator Of Land Use-Transportation Evolution, which translates planning policies such as the “No-More- Freeway” policy into alternative urban growth paths and possibly urban growth equilibria (land use and transportation system equilibria). Due to the “Small Start” nature of this OTREC project, the analysis focuses primarily on stylized urban areas, and empirical analysis of the “No-More- Freeway” policy is only conducted for one policy scenario on the Twin Cities, MN, area

Technology and Trade - an analysis of technology specialization and export flows

This paper examines how technology specialization, measured by citations-weighted patents, affects trade flows. The paper analyzes (i) the relationship between technology specialization and export specialization across regions and (ii) how the technology specialization of origin and destination affect the size and structure of link-specific export flows. We find that the export specialization of a region typically corresponds to the region’s technology specialization, which supports the view that comparative advantages can be created by investments in technology and knowledge. Export flows from regions to destination countries with similar technology specialization as the origin regions consist of commodities of higher quality in the specific technology, as indicated by higher prices. Highly specialized regions export more and charge higher prices. The results of the paper suggest that an understanding of trade ultimately requires an understanding of the spatial pattern of investments in (and creation of) technology and knowledge, as such investments shape export specialization patterns and the corresponding composition of export flows between locations across space.exports; technology; knowledge; specialization; quality; patents

From Russia with Love: The Impact of Relocated Firms on Incumbent Survival

We identify the impact of local firm concentration on incumbent performance with a quasi natural experiment. When Germany was divided after World War II, many firms in the machine tool industry fled the Soviet occupied zone to prevent expropriation. We show that the regional location decisions of these firms upon moving to western Germany were driven by non-economic factors and heuristics rather than existing industrial conditions. Relocating firms increased the likelihood of incumbent failure in destination regions, a pattern that differs sharply from new entrants. We further provide evidence that these effects are due to increased competition for local resources.Agglomeration, competition, firm dynamics, labor, Germany