The Last Mile Matters: Impact of Dockless Bike Sharing on Subway Housing Price Premium

2020 ◽  
Author(s):  
Junhong Chu ◽  
Yige Duan ◽  
Xianling Yang ◽  
Li Wang
Keyword(s):  
Housing Price ◽  
Relative Increase ◽  
Price Premium ◽  
Urban Residents ◽  
Difference In Differences ◽  
Last Mile ◽  
Bike Sharing ◽  
Subway Stations ◽  
The Relationship ◽  
The City

Dockless bike sharing provides a convenient and affordable means of transport for urban residents. It solves the “last-mile problem” in public transport by reducing the travel cost between home and subway stations and thus increasing the attractiveness of distant apartments. This may affect the relationship between housing price and distance to subway and reduce the price premium enjoyed by proximate apartments. Using resale apartment data in 10 major cities in China, a difference-in-differences approach at the apartment level, and a two-step estimator at the city-month level, we find that the entry of bike sharing reduces the housing price premium by 29% per km away from a subway station. The effect is equivalent to a reduction of 1,893–2,127 CNY (282–317 USD) in commuting costs per household per annum over 30 years. The effect is driven by a relative increase in the listing price of, and in the demand for, apartments distant from vis-à-vis proximate to subway stations. This paper was accepted by Juanjuan Zhang, marketing.

scholarly journals THE RELATIONSHIP BETWEEN LIVEABILITY AND PRICE OF RESIDENTIAL HOUSES – A CASE STUDY OF SHENZHEN

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 141-144
Author(s):  
L. Liu
Keyword(s):  
Housing Price ◽  
Urban Residents ◽  
Policy Makers ◽  
Four Dimensions ◽  
Point Of Interest ◽  
Using Data ◽  
The Relationship ◽  
The City ◽  
Real World Situation

Abstract. This study proposes an index for cities in China to measure the liveability of real estate. This liveability index combines indicators from four dimensions including education, transportation, living facilities and entertainment, and can be quickly obtained by using data of Point of Interest, based on popular internet maps. Then, using Shenzhen as a sample city, correlation analysis has been adopted to examine the relationship between this liveability index and housing price. The results show that, the liveability index can well reflect the real-world situation of the city. Moreover, a weak but significant relationship can be found between liveability and the housing price. The results of this study not only can be used for urban residents to search a proper housing estate, but also can assistant urban planners and policy makers to get a general map of the spatial structure of the city.

scholarly journals Evaluating the Impact of Floods on Housing Price Using a Spatial Matching Difference-In-Differences (SM-DID) Approach

2021 ◽  
Vol 13 (2) ◽  
pp. 804
Author(s):  
Jean Dubé ◽  
Maha AbdelHalim ◽  
Nicolas Devaux
Keyword(s):  
Housing Price ◽  
Hedonic Pricing ◽  
Environmental Amenities ◽  
Sale Price ◽  
Difference In Differences ◽  
Hedonic Pricing Model ◽  
The Difference ◽  
And Control ◽  
The Impact ◽  
The City

Many applications have relied on the hedonic pricing model (HPM) to measure the willingness-to-pay (WTP) for urban externalities and natural disasters. The classic HPM regresses housing price on a complete list of attributes/characteristics that include spatial or environmental amenities (or disamenities), such as floods, to retrieve the gradients of the market (marginal) WTP for such externalities. The aim of this paper is to propose an innovative methodological framework that extends the causal relations based on a spatial matching difference-in-differences (SM-DID) estimator, and which attempts to calculate the difference between sale price for similar goods within “treated” and “control” groups. To demonstrate the potential of the proposed spatial matching method, the researchers present an empirical investigation based on the case of a flood event recorded in the city of Laval (Québec, Canada) in 1998, using information on transactions occurring between 1995 and 2001. The research results show that the impact of flooding brings a negative premium on the housing price of about 20,000$ Canadian (CAN).

scholarly journals Exploring the Effects of the Built Environment on Two Transfer Modes for Metros: Dockless Bike Sharing and Taxis

2020 ◽  
Vol 12 (5) ◽  
pp. 2034
Author(s):  
Ying Ni ◽  
Jiaqi Chen
Keyword(s):  
Spatial Distribution ◽  
Built Environment ◽  
Housing Price ◽  
Peak Period ◽  
Spatial Lag Model ◽  
Last Mile ◽  
Bike Sharing ◽  
Lag Model ◽  
High Flexibility ◽  
Bus Services

The success of metro systems depends on effective multimodal solutions that bridge the first-and-last-mile gaps. Both dockless bike sharing (DBS) and taxis are important feeder modes for metros, which provide on-demand travel options with high flexibility and accessibility. Based on one-week trip data of DBS and taxis during a concurrent period in Beijing, China, the paper aims to compare the temporal-spatial distribution of two modes as first-and-last-mile connectors and find out the socio-demographic and built-environment factors that impact their usage. K-means clustering is implemented to visualize the spatial distribution of DBS and taxis around metro stations, and the spatial lag model incorporating spatial autocorrelations of variables is developed. The results show that people prefer to use DBS as a substitutable mode for bus services to serve first-mile interchange in the morning. Also, less economically developed areas with a high density of branches and fewer signalized intersections are more favored by DBS users, whereas people in the central areas with high housing price and developed arterial road network tend to take a taxi, especially during evening peak period. The study can offer the policy guidance to improve DBS services, and several recommendations are suggested to ensure the sustainable development of DBS.

scholarly journals School Desegregation and Urban Change: Evidence from City Boundaries

2012 ◽  
Vol 4 (1) ◽  
pp. 85-108 ◽  
Author(s):  
Leah Platt Boustan
Keyword(s):  
Public Schools ◽  
Metropolitan Areas ◽  
Housing Prices ◽  
Housing Price ◽  
Urban Housing ◽  
Urban Residents ◽  
Urban Residence ◽  
Tax Base ◽  
Central Cities ◽  
The City

I examine changes in the city-suburban housing price gap in metropolitan areas with and without court-ordered desegregation plans over the 1970s, narrowing my comparison to housing units on opposite sides of district boundaries. Desegregation of public schools in central cities reduced the demand for urban residence, leading urban housing prices and rents to decline by 6 percent relative to neighboring suburbs. Aversion to integration was due both to changes in peer composition and to student reassignment to nonneighborhood schools. The associated reduction in the urban tax base imposed a fiscal externality on remaining urban residents. (JEL H75, I21, I28, J15, R23, R31)

scholarly journals The relationship between bicycle traffic and the development of bicycle infrastructure on the example of Warsaw

2021 ◽  
Vol 60 (4) ◽  
pp. 187-203
Author(s):  
Tomasz Krukowicz ◽  
Krzysztof Firląg ◽  
Aleksander Sobota ◽  
Tomasz Kołodziej ◽  
Luka Novačko
Keyword(s):  
The Road ◽  
Strong Positive Relationship ◽  
Aggregate Index ◽  
Bike Sharing ◽  
Bicycle Infrastructure ◽  
Alternative Routes ◽  
The Relationship ◽  
The City ◽  
Traffic Measurements

The article presents the relationship between the intensity of bicycle traffic volume and the development of bicycle infrastructure on the example of Warsaw. There has been a big increase in cycling over the last decade. At the same time, the linear and point bicycle infrastructure developed very strongly. Similar trends are also observed in other cities in Poland. The article presents the types of infrastructure available to cyclists. Then, the method of assessing the bicycle infrastructure is presented, taking into account the five features of good bicycle infrastructure: cohesion, directness, attractiveness, safety and comfort. In terms of coherence, the analysis covered the bicycle infrastructure network in the vicinity of the measurement site. The directness was tested by checking the accessibility of several dozen of the most important nodal points of the city's communication network. The attractiveness was examined by checking the availability of public bike stations, bicycle racks and bike-sharing stations. The infrastructure adjusted to the technical class of the road was adopted as a measure of safety. The comfort was checked by analyzing the quality of the road surface, which affects the driving comfort and energy expenditure. All the factors presented impact the cyclist's assessment of the infrastructure. To standardize the assessment rules, an aggregate index of the development of bicycle infrastructure was determined. The analysis was carried out for 10 sample points for four consecutive years. The points were characterized by different bicycle infrastructure, location in the city road network and different results of bicycle traffic measurements. The analysis showed a strong positive relationship between traffic and cycling infrastructure for most of the analyzed places. There was a negative dependence in the case of the construction of alternative routes in relation to the place of traffic measurements. The obtained results are the same as in the works of other authors. However, the effects of work do not allow to determine which of the examined factors is the cause and which is the effect but only show the existing relationship.

Big Tech on the Block: Examining the Impact of Tech Campuses on Local Housing Markets in the San Francisco Bay Area

2021 ◽  
pp. 089124242110361
Author(s):  
Karen Chapple ◽  
Jae Sik Jeon
Keyword(s):  
Real Estate ◽  
San Francisco ◽  
San Francisco Bay Area ◽  
Housing Prices ◽  
Housing Price ◽  
Housing Markets ◽  
Difference In Differences ◽  
Bay Area ◽  
The Impact ◽  
The Relationship

The rapid growth of tech company headquarters such as Apple, Facebook, and Google could potentially put new pressure on the housing market in adjacent residential neighborhoods, in the form of housing price appreciation and real estate speculation. This article examines the relationship between the big tech corporate campuses and Silicon Valley/San Francisco housing markets using the Zillow (ZTRAX) transaction and tax assessor data. The authors compare real estate activity adjacent to new company locations with activity in nearby areas, conducting a difference-in-differences analysis to estimate changes in housing prices and speculation. They find that housing prices increase overall by an additional 7.1% in the immediate vicinity of the tech campus 2 years after arrival, with wide variation across campuses. The authors also identify significant real estate speculation occurring prior to firms’ arrival. This suggests that cities should take a proactive role in mitigating tech firm impacts on vulnerable adjacent neighborhoods.

scholarly journals Dynamic Study of Intelligent Traffic Behaviour Based on Multiple Traffic Modes

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Hongwei Jing ◽  
Xiaoming Li ◽  
Guangquan Xu ◽  
Mengli Zhu ◽  
Li Shen ◽  
...  
Keyword(s):  
Spatial Structure ◽  
Power Law ◽  
Smart Cities ◽  
Rapid Development ◽  
Urban Spatial Structure ◽  
Power Law Distribution ◽  
Dynamic Relationship ◽  
Bike Sharing ◽  
The Relationship ◽  
The City

With the rapid development of society, the traffic problem has become increasingly severe, and the traditional methods can no longer effectively solve the current social traffic behaviour problems. Although studies on the dynamics of human traffic behaviour based on traffic modes can effectively reveal the anomalies in traffic behaviour, few studies integrate intelligent traffic behaviour with multiple traffic modes. Based on the numerous traffic data of bike-sharing and ride-hailing in a Chinese city, this paper reveals the dynamic characteristics of various traffic behaviours in the city by combining spatiotemporal characteristics index and urban spatial structure with human traffic behaviour patterns. The experimental results show that the traffic behaviour of the town presents a double logarithmic power-law distribution in time characteristics, and there is a close interdependent dynamic relationship with the city’s spatial structure. The research in this paper can reveal the relationship between bimodal power-law distribution and spatial characteristics in complex systems and help solve social traffic problems effectively in social reality. Further research results can provide practical planning guidance for the behavioural integration of multiple traffic in smart cities.

Wenn stadtpolitische Bewegungen das Terrain des Staats betreten

2018 ◽  
Vol 48 (191) ◽  
Author(s):  
Jonathan Diesselhorst
Keyword(s):  
Social Movements ◽  
City Government ◽  
Housing Policies ◽  
Hierarchical Decision Making ◽  
Urban Social Movements ◽  
State Apparatus ◽  
Hierarchical Decision ◽  
Relationship Of ◽  
The Relationship ◽  
The City

This article discusses the struggles of urban social movements for a de-neoliberalisation of housing policies in Poulantzian terms as a “condensation of the relationship of forces”. Drawing on an empirical analysis of the “Berliner Mietenvolksentscheid” (Berlin rent referendum), which was partially successful in forcing the city government of Berlin to adopt a more progressive housing policy, the article argues that urban social movements have the capacity to challenge neoliberal housing regimes. However, the specific materiality of the state apparatus and its strategic selectivity both limit the scope of intervention for social movements aiming at empowerment and non-hierarchical decision-making.

Challenging the Terms of Order: Representations of the Detroit Rebellions, 1967–1968

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Jordan T. Camp
Keyword(s):  
State Violence ◽  
Rapid Expansion ◽  
Capitalist Development ◽  
Civil Structures ◽  
Us History ◽  
Political Struggles ◽  
Stuart Hall ◽  
The Relationship ◽  
The City ◽  
John Clarke

While many analysts have commented on the representation of 1968 campus events and antiwar demonstrations, less attention has been paid to the global significance of the dramatic struggles in industrial Detroit during the period. The meanings of events in the city were intensely fought over. As Stuart Hall, Chas Critcher, Tony Jefferson, John Clarke, and Brian Roberts observed, the events of 1968 were “an act of collective will, the breaks and ruptures stemming from the rapid expansion in the ideology, culture and civil structures of the new capitalism . . . in the form of a ‘crisis of authority.’” In Detroit the crisis of authority was expressed in the form of popular political struggles against racism, state violence, and the contradictions of life in the industrial capitalist city. This article asks and answers the following research questions about the struggle over the meaning of this decisive turning point in US history: What was the relationship between racial ordering, uneven capitalist development, and mass antiracist and class struggles? How did Black working-class organic intellectuals resist and alter hegemonic definitions of the situation? How are the dialectics of insurgency and counterinsurgency to be best theorized during this precise historical conjuncture? 

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