scholarly journals The Neighbourhood Improvement Plan

2013 ◽  
Vol 17 (1) ◽  
pp. 16-28 ◽  
Author(s):  
Pierre Filion
Keyword(s):  
Urban Renewal ◽  
Citizen Participation ◽  
Local Level ◽  
Improvement Program ◽  
Improvement Plan ◽  
Federal Program ◽  
Two Cities ◽  
The Difference ◽  
The Impact ◽  
The City

During the late 1960s and early 1970s the Canadian government effected a turnabout in its urban renewal policy, which culminated in the launching of the Neighbourhood Improvement Program in 1973. This program differed from prior forms of renewal by emphasizing the preservation of the built environment and citizen participation in neighbourhood planning. This article is concerned with examining the difference in the attitudes the city administrations of Montreal and Toronto took toward the federal program, and the impact of this difference on the results in the two cities. It appears that Toronto's mode of implementation was in the spirit of the federal policy revision while Montreal endeavoured to pursue traditional urban renewal objectives through its use of the program. These two approaches to the Neighbourhood Improvement Program are depicted respectively as expressions of a participatory and a centralized mode of policy making at the local level.

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 XarxaSalut, network of municipalities for health, Valencia Region (Spain): policy process evaluation

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R Peiró Pérez ◽  
E Pérez Sanz ◽  
E Legaz Sanchez ◽  
J Quiles Izquierdo ◽  
Grupo XarxaSalut
Keyword(s):  
Process Evaluation ◽  
Citizen Participation ◽  
Policy Process ◽  
Local Level ◽  
Common Language ◽  
Health Authorities ◽  
Open Questions ◽  
Economic Support ◽  
Public Health Authorities ◽  
The Impact

Abstract “XarxaSalut” started in 2017, with the municipalities that have taken the commitment to boost the Promotion of Health (HP) at the local level through community participation, intersectorality and equity perspective. The objective is to present a policy process evaluation (2'5 years) of the implementation of XarxaSalut. Different approaches have been used; a questionnaire addressed to the municipalities at the time of adhesion including data on intersectorality, participation, HP actions and open questions; description of instruments that Regional Public Health Authorities (RPHA) has mobilized and an analysis of barriers and strengths made by the coordination office. In 2017, 17 municipalities were joined, being 197 in February 2020 (70% of the population). 65% are in a process of an organizational change through the intersectoral, decision making and participative working group. 35% are doing analysis of determinants and /or health situation, assets maps and a prioritization of HP actions. The main barriers identified by municipalities are lack of economic and personal resources, and difficulties in achieve citizen participation. The main benefits were the optimization of resources, the exchange of experiences, training, or economic support from the RPHA. Some support instruments develop for RPHA are a collection of guides for community development, funds that the municipalities can apply to support actions related with training, HP action on vulnerable population, on asset maps, participation processes, vulnerable neighborhoods, etc.; Community actions have been included in the “Health Observatory” to give visibility and social support to XarxaSalut. Interdisciplinary training processes with health and municipal professionals have been made in order to develop a common language and strength the competences for HP. Lesson learned: The need to improve coordination and a common language between different types of participants and professionals Key messages The decision makers and professionals in the municipalities understand the impact in health of the policies developed at local level but needs guide and support to deal with it. The coordination between different administrations and primary health at local level and the misunderstandings about health and their determinants are the main aspect to reinforce.

Quantifying changes in bicycle volumes using crowdsourced data

2022 ◽  
pp. 239980832110661
Author(s):  
Ali Al-Ramini ◽  
Mohammad A Takallou ◽  
Daniel P Piatkowski ◽  
Fadi Alsaleem
Keyword(s):  
Machine Learning ◽  
The United States ◽  
Crowdsourced Data ◽  
Machine Learning Approach ◽  
Bicycle Infrastructure ◽  
The Difference ◽  
Infrastructure Investments ◽  
Using Data ◽  
The Impact ◽  
The City

Most cities in the United States lack comprehensive or connected bicycle infrastructure; therefore, inexpensive and easy-to-implement solutions for connecting existing bicycle infrastructure are increasingly being employed. Signage is one of the promising solutions. However, the necessary data for evaluating its effect on cycling ridership is lacking. To overcome this challenge, this study tests the potential of using readily-available crowdsourced data in concert with machine-learning methods to provide insight into signage intervention effectiveness. We do this by assessing a natural experiment to identify the potential effects of adding or replacing signage within existing bicycle infrastructure in 2019 in the city of Omaha, Nebraska. Specifically, we first visually compare cycling traffic changes in 2019 to those from the previous two years (2017–2018) using data extracted from the Strava fitness app. Then, we use a new three-step machine-learning approach to quantify the impact of signage while controlling for weather, demographics, and street characteristics. The steps are as follows: Step 1 (modeling and validation) build and train a model from the available 2017 crowdsourced data (i.e., Strava, Census, and weather) that accurately predicts the cycling traffic data for any street within the study area in 2018; Step 2 (prediction) use the model from Step 1 to predict bicycle traffic in 2019 while assuming new signage was not added; Step 3 (impact evaluation) use the difference in prediction from actual traffic in 2019 as evidence of the likely impact of signage. While our work does not demonstrate causality, it does demonstrate an inexpensive method, using readily-available data, to identify changing trends in bicycling over the same time that new infrastructure investments are being added.

The Impact of the District’s Magnitude on the Gender Composition of the Municipal Deputy Corps

2021 ◽  
pp. 43
Author(s):  
Ruslan S. Mukhametov
Keyword(s):  
Electoral System ◽  
Gender Composition ◽  
Main Research ◽  
Representation Of Women ◽  
City Councils ◽  
Electoral District ◽  
Statistical Program ◽  
The Difference ◽  
The Impact ◽  
The City

The purpose of the study is to explain the difference in the proportion of women deputies in the representative bodies of different municipalities. The author assesses the impact of the electoral districts size on the gender composition of municipal legislative bodies (dumas). A review of theoretical and empirical works shows that more women are elected to Parliament under the proportional representation system than under the majority system with single-mandate constituencies. According to the author, the decisive factor is not the type of the electoral system, but the size of the electoral district. Two working hypotheses were formulated. According to the first, representative bodies of municipalities, whose elections are held according to a majority system with multi-member districts, will have a higher representation of women than local dumas which are formed on the basis of a majority system with single-member districts. According to the second hypothesis, higher representation of women in the deputy corps of settlements can be associated with the holding of elections under the majority system with multi-mandate districts. To test the proposed hypotheses in the context of municipalities, empirical material was collected. The study was carried out on the data from the Sverdlovsk region. The database of indicators of municipalities of Rosstat, as well as the official websites of local administrations were used as the source of information. The method of multiple linear regression is used as the main research method. The data was analyzed with the Gretl applied statistical program. Statistical calculations have revealed a positive and statistically significant impact of multi-mandate constituencies-based elections on the proportion of women in the deputy corps, which contributes to the study of gender aspects of politics. It is shown that the size of the electoral district is important for the representation of women in the city councils. The article notes that the transition to holding elections of deputies on the basis of a majority system with multi-mandate districts will help increase the proportion of women in municipal representative bodies.

Drugs and Justice: The Impact of Drugs on Criminal Justice in a Metropolitan Community

1993 ◽  
Vol 39 (2) ◽  
pp. 204-224 ◽  
Author(s):  
John M. Klofas
Keyword(s):  
New York ◽  
Criminal Justice ◽  
Metropolitan Area ◽  
Justice System ◽  
Local Level ◽  
War On Drugs ◽  
Case Processing ◽  
York Metropolitan Area ◽  
The Impact ◽  
The City

This study examines the impact of drugs on the criminal justice system of the greater Rochester (New York) metropolitan area. Although discussed widely, there has been little investigation of the effects of the “war on drugs” at the local level. This research considers patterns of arrest and case processing and includes an examination of drug treatment. Increases in arrests, particularly for possession of drugs, have occurred in the city but not the suburbs and have had a disproportionate effect on African-Americans. Many cases are processed as misdemeanors and result in minor sanctions. The implications for traditional order maintenance concerns in a metropolitan community are discussed.

scholarly journals IMPACT OF STREETSCAPING ON HUMAN PSYCHOLOGY

2018 ◽  
Vol 6 (10) ◽  
pp. 158-168
Author(s):  
Kavya Trivedi ◽  
Soma Anil Mishra ◽  
Kunika Gehlot
Keyword(s):  
Statistical Data ◽  
Vital Role ◽  
Human Being ◽  
Human Psychology ◽  
Jane Jacobs ◽  
Two Cities ◽  
The Impact ◽  
The City

This research is subjected to the study of the impact of street scape on human psychology. The study mainly focuses on the importance of the design of sidewalks on the street so that it can’t become the space for the criminal activities as described by the journalist jane Jacobs. The research also aims to study the role of urbanization in changing the street scaping of the cities. The study comprises of the statistical data which is the output of the survey conducted by the researcher and live case study of the streets of two cities i.e. Chandigarh and Pune.42% Part of the city are imbued with streets and therefore they play a vital role on the psychology of a human being. Keeping this in mind, the research is made on how streets could be designed in a manner that create the surrounding safe and happier to live.

The Impact of Plague and Quarantine

2019 ◽  
pp. 118-146
Author(s):  
John Henderson
Keyword(s):  
Local Level ◽  
Environmental Determinants ◽  
New Strategy ◽  
Food And Drink ◽  
Social Profiles ◽  
The Impact ◽  
The City

This chapter details the impact on the population of the policies discussed in the previous chapter. It first analyses the factors underlying the spread of plague, both through Florence and at a more local level in the city's largest parish, S. Lorenzo. Based on records of city and parish, it has been possible to analyse the number of people infected and buried in relation to the topographical and social profiles of individual streets. If this enables one to consider some of the environmental determinants of infection, it is also possible to assess the impact on mortality of the policy of removing the sick from their houses to Lazaretti, through comparing the number of people buried in extra-mural plague pits with those at the isolation hospitals. For contemporaries it was successful, since higher numbers died in Lazaretti, suggesting that they had managed to identify and remove the sick before they got worse. This policy remained in force the next year when a new strategy was introduced, with the imposition from mid-January of a general 40-day quarantine of the inhabitants of both the city and the surrounding countryside. Although this was an extremely expensive operation, since food and drink were being supplied daily to over 34,000 people, the continued drop in mortality led contemporaries to regard this as fulfilling their aims.

scholarly journals Does Subway Station Proximity Spur Residential Development? Analyzing The Impact Of The Sheppard Subway Line On Housing Development In The City Of Toronto.

2021 ◽  
Author(s):  
Alyson Naseer
Keyword(s):  
Residential Development ◽  
Subway Station ◽  
Dissemination Area ◽  
The Difference ◽  
Subway Stations ◽  
Statistics Canada ◽  
The One ◽  
And Control ◽  
The Impact ◽  
The City

This study examines the pace and scale of residential development within a 1-kilometer radius of subway stations along the Sheppard Subway line within the City of Toronto during the years 1991-2016. The dataset used for this study was obtained from Statistics Canada that contained data on the number of housing units per dissemination area within a 1-kilometer radius of a subway station in addition to several variables used for analysis. The difference- in-differences method was used, findings indicated insignificant results meaning the Sheppard Subway Line did not spur residential development at a rate faster than the one observed for the Sheppard West corridor. This was further proved by examining the pace of development during the pre-treated and post-treated period amongst both the treated and control groups, findings indicated that both groups received similar amounts of residential growth, such that the difference in residential construction between the two corridors was statistically insignificant.

scholarly journals A Poorly Understood Disease? The Unequal Distribution of Excess Mortality Due to COVID-19 Across French Municipalities

2020 ◽  
Author(s):  
Paul Brandily ◽  
Clement Brebion ◽  
Simon Briole ◽  
Laura Khoury
Keyword(s):  
Excess Mortality ◽  
Local Level ◽  
Data Sources ◽  
Housing Conditions ◽  
Unequal Distribution ◽  
The World ◽  
The Difference ◽  
The Impact ◽  
Income Gradient ◽  
The Relationship

While COVID-19 was already responsible for more than 500,000 deaths worldwide as of July 3, 2020, very little is known on the socio-economic heterogeneity of its impact on mortality. In this paper, we combine several administrative data sources to estimate the relationship between mortality due to COVID-19 and poverty at a very local level (i.e. the municipality level) in France, one of the most severely hit country in the world. We find strong evidence of an income gradient in the impact of the pandemic on mortality: it is twice as large in the poorest municipalities compared to other municipalities. We then show that both poor housing conditions and higher occupational exposure are likely mechanisms. Overall, these mechanisms accounts for up to 60% of the difference observed between rich and poor municipalities.

scholarly journals The impact of mobility network properties on predicted epidemic dynamics in Dhaka and Bangkok

2021 ◽  
Author(s):  
Tyler S. Brown ◽  
Kenth Engø-Monsen ◽  
Mathew V. Kiang ◽  
Ayesha S. Mahmud ◽  
Richard J. Maude ◽  
...  
Keyword(s):  
Geographic Distance ◽  
Large Cities ◽  
Epidemic Dynamics ◽  
Geographic Structure ◽  
Two Cities ◽  
User Data ◽  
Network Properties ◽  
Phone User ◽  
The Impact ◽  
The City

1AbstractProperties of city-level commuting networks are expected to influence epidemic potential of cities and modify the speed and spatial trajectory of epidemics when they occur. In this study, we use aggregated mobile phone user data to reconstruct commuter mobility networks for Bangkok (Thailand) and Dhaka (Bangladesh), two megacities in Asia with populations of 16 and 21 million people, respectively. We model the dynamics of directly-transmitted infections (such as SARS-CoV2) propagating on these commuting networks, and find that differences in network structure between the two cities drive divergent predicted epidemic trajectories: the commuting network in Bangkok is composed of geographically-contiguous modular communities and epidemic dispersal is correlated with geographic distance between locations, whereas the network in Dhaka has less distinct geographic structure and epidemic dispersal is less constrained by geographic distance. We also find that the predicted dynamics of epidemics vary depending on the local topology of the network around the origin of the outbreak. Measuring commuter mobility, and understanding how commuting networks shape epidemic dynamics at the city level, can support surveillance and preparedness efforts in large cities at risk for emerging or imported epidemics.

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